CHRIST (Deemed to University), Bangalore

DEPARTMENT OF COMPUTER SCIENCE

School of Sciences

Syllabus for
Bachelor of Computer Applications
Academic Year  (2021)

 
1 Semester - 2021 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BCA112 OFFICE AUTOMATION TOOLS LAB Skill Enhancement Courses 2 1 50
BCA121 PROFESSIONAL ENGLISH Ability Enhancement Compulsory Courses 3 2 100
BCA131 FOUNDATIONAL MATHEMATICS Core Courses 3 3 100
BCA132 STATISTICS-I FOR BCA Core Courses 3 3 100
BCA133 DIGITAL COMPUTER FUNDAMENTALS Core Courses 4 4 100
BCA134 INTRODUCTION TO PROGRAMMING USING C Core Courses 4 4 100
BCA151 DIGITAL COMPUTER FUNDAMENTALS LAB Core Courses 4 2 100
BCA152 C PROGRAMMING LAB Core Courses 4 2 100
2 Semester - 2021 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BCA212 STATISTICS TOOL LAB Core Courses 2 1 50
BCA221 COMMUNICATIVE ENGLISH Ability Enhancement Compulsory Courses 3 2 100
BCA231 BASIC DISCRETE MATHEMATICS Core Courses 3 3 100
BCA232 STATISTICS II FOR BCA Core Courses 3 3 100
BCA233 OPERATING SYSTEMS Core Courses 4 4 100
BCA234 DATA STRUCTURES Core Courses 4 4 100
BCA251 OPERATING SYSTEMS LAB Core Courses 4 2 100
BCA252 DATA STRUCTURES LAB Core Courses 4 02 100
3 Semester - 2020 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BCA312 ACCOUNTING TOOLS LAB Skill Enhancement Courses 2 1 50
BCA331 INTRODUCTION TO NUMBER THEORY AND ALGEBRA Core Courses 3 3 100
BCA332 FINANCIAL ACCOUNTING Core Courses 3 3 100
BCA333 OBJECT ORIENTED PROGRAMMING USING JAVA Core Courses 4 4 100
BCA334 DATABASE MANAGEMENT SYSTEM Core Courses 4 4 100
BCA351 JAVA PROGRAMMING LAB Core Courses 4 4 100
BCA352 DBMS LAB Core Courses 4 2 100
BCA361A GERMAN Generic Elective Courses 4 4 100
BCA361B FRENCH Generic Elective Courses 4 4 100
4 Semester - 2020 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BCA431 GRAPH THEORY Core Courses 3 3 100
BCA432 FINANCIAL MANAGEMENT Core Courses 3 3 100
BCA433 DESIGN AND ANALYSIS OF ALGORITHMS Core Courses 4 4 100
BCA434 SOFTWARE ENGINEERING Core Courses 4 4 100
BCA435 WEB TECHNOLOGY Core Courses 4 04 100
BCA451 .NET LAB Core Courses 4 2 100
BCA481 DBMS PROJECT Core Courses 6 3 150
5 Semester - 2019 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BCA531 PYTHON PROGRAMMING Core Courses 4 4 100
BCA532 COMPUTER NETWORKS Core Courses 4 4 100
BCA541A MOBILE APPLICATIONS Discipline Specific Elective Courses 4 4 100
BCA541B GRAPHICS AND ANIMATION Discipline Specific Elective Courses 4 4 100
BCA541C BUSINESS INTELLIGENCE Discipline Specific Elective Courses 4 4 100
BCA541D MICROPROCESSOR AND ALP Discipline Specific Elective Courses 4 4 100
BCA541E DIGITAL IMAGE PROCESSING Discipline Specific Elective Courses 4 4 100
BCA542A MULTIMEDIA APPLICATIONS Discipline Specific Elective Courses 4 4 100
BCA542B OOAD USING UML Discipline Specific Elective Courses 4 4 100
BCA542C CYBER SECURITY Discipline Specific Elective Courses 4 4 100
BCA542D COMPUTER ARCHITECTURE Discipline Specific Elective Courses 4 4 100
BCA542E SYSTEM SOFTWARE Discipline Specific Elective Courses 4 4 100
BCA551 PYTHON PROGRAMMING LAB Core Courses 4 2 100
BCA552A MOBILE APPLICATIONS LAB Discipline Specific Elective Courses 4 2 100
BCA552B GRAPHICS AND ANIMATION LAB Discipline Specific Elective Courses 4 2 100
BCA552C BUSINESS INTELLIGENCE LAB Discipline Specific Elective Courses 4 2 100
BCA552D MICROPROCESSOR AND ALP LAB Discipline Specific Elective Courses 4 2 100
BCA552E DIGITAL IMAGE PROCESSING LAB Discipline Specific Elective Courses 4 2 100
BCA581 PROJECT-I Discipline Specific Elective Courses 4 2 100
6 Semester - 2019 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BCA671 MACHINE LEARNING Core Courses 6 5 150
BCA672A CLOUD COMPUTING Discipline Specific Elective Courses 6 5 150
BCA672B UI/UX DESIGN Discipline Specific Elective Courses 6 5 150
BCA672C SOFTWARE TESTING Discipline Specific Elective Courses 6 5 150
BCA672D INTERNET OF THINGS Discipline Specific Elective Courses 6 5 150
BCA672E LINUX ADMINISTRATION Discipline Specific Elective Courses 6 5 150
BCA681 MAJOR PROJECT Discipline Specific Elective Courses 16 8 300
    

    

Introduction to Program:

Bachelor of Computer Applications is a 3-year undergraduate programme spread over six semesters. The course is designed to bridge the gap between IT industries and academic institutes by incorporating the latest developments into the curriculum and to give students a complete understanding within a structured framework. The curriculum supports students to gain adequate programming practices along with a theoretical foundation and also includes interdisciplinary courses and electives for widening the domain expertise. State-of-the-art infrastructure provides an excellent learning environment to hone the knowledge of each student. 

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO1: Acquire and Apply Knowledge: Understand and apply the fundamental principles, concepts and methods in key areas of Computer Applications and multidisciplinary fields.

PO2: Problem Analysis: Analyze real-time problems using various tools and techniques.

PO3: Design and Development: Design and develop solutions to meet the desired needs.

PO4: State-of-art Technologies: Adapt and apply emerging tools and technologies.

PO5: Entrepreneurship and Innovation: Provide sustainable and innovative solutions for real-time problems.

PO6: Lifelong Learning: Engage in continuous reflective learning in the context of technological advancement.

PO7: Communication and Team Building: Demonstrate effective communication and interpersonal skills.

PO8: Ethics and Social Responsibility: Integrate ethical and human values to become a socially responsible citizen.

Assesment Pattern

CIA: 50%

ESE: 50%

Examination And Assesments

CIA: 50%

ESE: 50%

BCA112 - OFFICE AUTOMATION TOOLS LAB (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:1

Course Objectives/Course Description

 

MS-WORD

The purpose of this course is to teach students to identify word processing terminology and concepts, Create technical documents, Animation and Design document, format and edit documents, use simple tools and utilities, Mail merge concepts and Mathematical expressions.

MS-EXCEL

This course will teach you the skills you'll need to successfully use Excel. This course will start with basic skills, and then move forward to more advanced features and techniques.

Course Outcome

CO1: Ability to Animate and Design the document.

CO2: Simplification of Mathematical expressions.

CO3: Create Format cells, rows, columns, and entire worksheets.

CO4: Create charts and diagrams for data.

CO5: Create data lists and forms.

CO6: Create and use pivot tables and pivot charts.

CO7: Work with VBA concept.

Unit-1
Teaching Hours:30
List of Programs
 

MS-WORD

  1. Create and Design Admission/Enquiry Forms in Microsoft Word.
  2. Create a mail to ‘n’ number of contacts from label and send mail to ‘n’ number of contacts selected from label using mail merge.
  3. Prepare a document about any topic in mathematics which uses mathematical symbols.
    At least 5 mathematical symbols should be used.
    Assign a password for the document to protect it from unauthorized access.
    Demonstrate the use of Hyperlink Option.
    Write a macro that sets margins to your document, a font of size and double spaced document.

      4. Create and Design Seminar/Conference/Workshop brochure.

 

MS-EXCEL

1.      Enter the order id, product name, unit price, quantity and discount. Perform      the following operation using MS – Excel.

a. Calculate the revenue and tax on the revenue for each product

b. Calculate the net come of each product

c. Calculate the total revenue of all products

d. Calculate the total net income of all products

e. Count the number of products in the list above

f. Count the number of products of Order ID <<X>>

g. Calculate the total net income of products of Order <<X>>

 

2.      Enter the following details of 20 students data’s in column wise, s.no, roll no, name, test – 1, test –   2 and test – 3 marks, total, mention and grade from

     Cell A to h and do the following operations in excel

a. Calculate the total score of each student

b. Display the word "Fail" if the student failed and "Pass" if the student passed in Mention column.
c. Students are considered failed if their total is less than 30. Otherwise, they pass.

d. Count the number of students who failed in subject wise

e. Count the number of students who passed in a subject in the column "# of passed students.

f. Calculate the percentage of students who failed in all subjects and write "% of failed students"

g. Calculate the percentage of students who passed in all subjects write "% of passed students"
Format the cell in percentage <="80--"> <="75--"> <="70--"> <="65--"> <="55--"> <="50--"> <="45--"> <="40--">

h. Display grade letter of each student in Grade column, based on the following conditions:

75 <total Score <=80   à A

70 <total Score <=85   à B+

65 <total Score <=70   à B

55 <total Score <=65   à C+

50 <total Score <=55   à C

45 <total Score <=50   à D+

40 <total Score <=45   à D

35 <total Score <=40   à E+

30 <total Score <=35   à E

Total Score < 30   à F

 

3.      Create a basic calculator with VBA in Excel.

4.      Write some code in VBA (Visual Basic for Application) to manipulate records in Excel spreadsheet and work with VBA user form to build graphic user interface application.
In case that you have a lot of records in your data sheets, manipulating records--add new, update, save, delete, move, and find record is hard. With VBA, you can solve this problem.

5.      Write some code in VBA (Visual Basic for Application) to manipulate records in Excel spreadsheet and work with VBA user form to build graphic user interface application.
In case that you have a lot of records in your data sheets, manipulating records--add new, update, save, delete, move, and find record is hard. With VBA, you can solve this problem.

6.      Prepare a pay-bill using a worksheet. The work sheet should contain

          Employee Id, Name, Designation, Experience and Basic Salary and Job ID.

          If Job Id is 1 then DA is 45% of the basic salary. HRA is Rs. 5500.
          If Job Id is 2 then DA is 40% of the basic salary. HRA is Rs. 4500. For all

          the other Job ids DA is 35% of the basic salary and HRA is Rs. 3500. For all

          the above Job ids PF to be deducted is 4%. For the job ids 1&2 Rs. 100 to be

          deducted as Professional Tax.

a.       Find the net pay. 
b. Use filter to display the details of employees whose salary is greater than 10,000.
c. Sort the employees on the basis of their net pay. 
Use  advance  filter  to  display  the  details  of  employees  whose  designation  is Programmer and Net Pay is greater than 20,000 with experience greater than 2 yrs.

7. Using Excel project the Product sales for any five products for five years.

 a. Compute the total sales of each product in the five years.
 b. Compute the total sales of all the products in five year.
 c. Compute the total sales of all products for each year.
 d. Represent annual sale of all the products using Pie-Chart
 e. Represent annual sales of all products using Bar Chart.
 f. Represent sale of a product for five years using Pie-Chart.
 g. Label and format the graphs.

Text Books And Reference Books:

*

Essential Reading / Recommended Reading

*

Evaluation Pattern

CIA - 100%

BCA121 - PROFESSIONAL ENGLISH (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:2

Course Objectives/Course Description

 

This course focuses on  preparing students to communicate verbally and non-verballyin an effective manner. The aim is to introduce students to communication in a professional environment. It is instrumental in learners comprehending the role of technical english in communication. 

Objectives:

1. Introduce learners to language skills in their area of specialisation.

2. Enavle them to enhance career prospects and employability through English langiage skills

3. Help students gain understanding of language at the workplace

4. To develop verbal and non-verbal skills in English communication

Course Outcome

CO1: Comprehension and demonstration of language in the field of technology

CO2: Prepare individuals as Independent communicators

CO3: Illustrate professional requirements through language proficiency

Unit-1
Teaching Hours:8
reviewing grammar
 

This unit undertakes to revise the foundation of language; the grammar section of language learning. Students will be reviewed the grammar aspects mentioned through task based activities

Concept of time in language – reflective learning will be used to help students detect their grammatical errors in tenses and rectify.

§  Degrees of comparison – using technical literature students can be engaged in apprehending degrees of comparison

§  Direct and reported speech – to enable learners carry on a comprehensible conversation either spoken or written, in a business context

 

§  Subject verb agreement – through worksheets and task based learning students will be familiarized to construct error free sentences

 

§  

Unit-2
Teaching Hours:6
technical vocabulary
 

Learners will be acquainted with the basic of English language learning. They will be taught to identifying technical vocabulary from the general. Technical magazines prescribed by the institution that are subject specific can be used as teaching tools.

§  Introduction to technical lexicon – help students identify jargon and technical terminologies. Assist them comprehend the significance of implementation with moderation through their subject literature.

§  Internet lexis and contextualisation – provide meanings accurately to ensure right exercise of terms in a professional scenario through hands-on experience

§  Circumstantial usage of diction – aid the comprehension of word usage as verbs and nouns based on the requirement. Differentiating the meanings of synonyms and their orientation in a text

§  Integrating technical vocabulary in describing process and procedure – through prescribed texts students can be made to enhance their language by right integration of diction.

§  Mind mapping of textual diction and allied words – diagrammatically mapping of words based on their meaning, context and usage will re-emphasise the words in the minds of the learners

Unit-3
Teaching Hours:8
rereading texts
 

Having gained familiarity with technical and subject specific vocabulary, students will be introduced to the types of reading. The basic receptive skill will help students help students prioritise and eliminate content.

§  Reading strategies – acquaint the learners with the functions and benefits of reading strategy in the academic and professional set-up

§  Reading: skimming, scanning – introduce learners to the types of reading. The integral aspects of each method will be familiarized to the students. They can be given practice sessions through subject material provided

§  Intensive and extensive reading – benefits and features of the two types of reading can be elaborated. To emphasise on the learner the difference, practice sessions with subject material can be carried out

§  Summarising – consolidation of key ideas can be carried out in the spoken and written format. Technical literature can be provided for the purpose

Unit-4
Teaching Hours:5
non - verbal communication
 

The ancillaries of speaking skill is in focus here. Prior to delving into the productive skill, the nitty gritty that enhance its effectiveness is made familiar to the learner. Classroom activities and vicarious learning through case studies and video clippings can be screened.

§  Competence in non-verbal communication- create an awareness of the role of non-verbal communication in a professional set-up

§  Functions of non-verbal communication – the various utilities of nonverbal communication can be elaborated to students with case studies

§  Benefits of non-verbal communication – elucidate the advantages of non-verbal communication with reference to cultural distinctions

§  Proxemics, Chronemics, Kinesics, Haptics, Gestures, Paralanguage - vicarious learning of these aspects of non-verbal communication can be carried out through video clippings of suitable material and print media

Unit-5
Teaching Hours:4
communication strategies
 

The productive skills are finessed through identification and refining of the elements mentioned in this unit. They contribute to holistic presentation. Task based activities must be used to practise. Business Communication texts and worksheets will provide ample support.

Nuances of Communication – communication in the work place requires knowing the dos and don’ts of professional communication. An introduction to listening, speaking, reading and writing with reference to professional communication can be provided.

§  Opening techniques

§   Speech markers

§   Fillers

§  Turn taking

§  Backchannelling

§  Dealing with interruptions

every element mentioned can be elaborated. Ample examples can be provided through audio visual media, it can be provided to them through demonstrations and verbal reinforcement language checklists can be provided to aid students understand implementation of the elements. A follow up through mock sessions must be carried out in groups

Unit-6
Teaching Hours:6
writing skill
 

Having dealt with speaking skill in the previous unit, the other productive skill; writing is taken into consideration here. The various forms of sriting in an official context will be taught in form and content.

§  Report writing – a corporate requirement is the ability to report on meetings and conferences. The format and requirements of a report writing can be taught to the students through samples and later they can be made to draft reports of their own and peer evaluated

§  Note taking – corporate atmosphere calls for not taking at every step. Students need to be taught the framework of note taking. They can be given samples as reference. Later they can be made to listen to technical audio clips and provide the note taking carried out at an individual level.

§  Minutes – corporate life calls for being in attendance of numerous meetings. Taking down the minutes is a skill that is assumed to be possessed by one. The essentials of maintaining the minutes must be made conversant through illustrations. This can be emphasised by classroom activities of the same

 

Unit-7
Teaching Hours:8
professional communication
 

 Lastly students will be introduced to typical work scenarios through hands-on sessions.

§  Small talk – the purpose and role of small talk must be taught to the students. They can be screened video clippings of the same. Mock sessions can be performed in the class. The key phrases and language used can be imparted through provision of language worksheets and skills checklists

§  Meeting- types of meetings, hierarchy of most often featuring members, etiquette to be held at meeting and the duties to be performed can be taught implicitly. Chairing, setting the agenda, controlling the smooth functioning, participating, deliberating and diplomacy must be made clear. The key phrases and language used can be taught through language worksheets and skills checklists

§  Group discussion – group discussions are carried out at every level. Students must be familiarized with the basics of a group discussions. Agreeing, disagreeing, and being diplomatic are essentials to be imparted. The soft skills and language essentials most commonly noted can be made comprehensible to the students. Vicarious learning and language charts can be used as learning tools.

Text Books And Reference Books:

[1] Driscoll, Liz. Common Mistakes at Intermediate and How to Avoid Them. CUP, 2008.

[2] Carter, Ronald and Michael McCarthy. Cambridge Grammar of English. CUP, 2006.

[3] Leech, Geoffrey, Jan Svartvik. A Communicative Grammar of English. Third Edition. New Delhi: Pearson Education, 2009.

Essential Reading / Recommended Reading

Booher, Dianna. E- Writing: 21st Century Tools for Effective Communication. Macmillan, 2008.

Knapp .M. Essentials of Non-Verbal Communication Theory Rea. FL: Harcourt, 1995.

Evaluation Pattern

CIA I - 20

MID SEMESTER EXAM - 50

CIA II -20

BCA131 - FOUNDATIONAL MATHEMATICS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This course aims at introducing the students into the world of Discrete Mathematics. It includes the topic like Mathematical Logic, Method of proofs, Mathematical induction, Permutations and combinations and Binomial coefficients. Also, this course emphasizes general techniques of problem solving and explores the creation of mathematical patterns.

 

Course Objective: This course will help the learner to

COBJ1. understand and use the notions of Mathematical Logic.

COBJ2. give proofs for Mathematical problems by using different methods of proofs

COBJ3. prove the mathematical problems/statements by using Mathematical Induction

COBJ4. use the permutations,combinations,binomial coefficients for solving problems appropriate problems

Course Outcome

CO1: Formulate and interpret statements presented and determine their validity by applying the rules and methods of propositional logic.

CO2: Reformulate statements from common language to formal logic using the rules of propositional and predicate calculus, and assess the validity of arguments.

CO3: Apply the logical structure of proofs and work symbolically with connectives and quantifiers to produce logically valid, correct and clear arguments.

CO4: Construct elementary proofs using ordinary and strong induction in the context of studying the properties of recursion.

CO5: Apply basic counting principles including the pigeonhole principle and rules for counting permutations and combinations.

Unit-1
Teaching Hours:15
Logic
 

Propositional Logic, Applications of Propositional Logic, Propositional Equivalences, Predicates and Quantifiers.

Unit-2
Teaching Hours:15
Methods of Proof
 

Nested Quantifiers, Rules of Inference, Introduction to Proofs, Proof Methods and Strategy.

Unit-3
Teaching Hours:15
Counting
 

Mathematical Induction (Pg.311-333), The Basics of Counting, The PigeonholePrinciple, Permutations and Combinations, Binomial Coefficients and Identities

Text Books And Reference Books:

K. H. Rosen, Discrete Mathematics and its Applications, 7th ed., McGraw – Hill, 2012.

Essential Reading / Recommended Reading
  1. R.P. Grimaldi and B.V. Ramana, Discrete and Combinatorial Mathematics, An applied introduction, 5th ed., Pearson Education, 2007.
  2. D. S. Chandrasekharaiah, Discrete Mathematical Structures, 4th ed., India: PRISM Book Pvt. Ltd., 2012    
  3. J. P. Tremblay and R. Manohar, Discrete Mathematical Structures with Application to Computer Science, Reprint, India: Tata McGraw Hill Education, 2008.
Evaluation Pattern

Examination and Assessments:

Component

Mode of Assessment

Parameters

Points

CIA I

Written Assignment

Class Test

Problem working in class

Mastery of the core concepts 

 

10

CIA II

Mid-semester Examination

Basic, conceptual and analytical knowledge of the subject

 

25

CIA III

Written Assignment

Class Test

Problem working in class

Problem solving skills

Familiarity with the proof techniques

10

Attendance

Attendance

Regularity and Punctuality

05

ESE

 

Basic, conceptual and analytical knowledge of the subject

50

Total

100

 

ESE - Question Paper Pattern

Part

Unit and No. of subdivisions to be set in the unit

No. of subdivisions to be answered

Marks for each subdivision

Max.  marks for the part

A

UNIT I

4

10

3

30

UNIT II

4

UNIT III

4

B

UNIT II

4

3

7

21

C

UNIT I

5

4

7

28

D

UNIT III

4

3

7

21

Total

100

 

 

BCA132 - STATISTICS-I FOR BCA (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

To acquaint students with various statistical methods.
To cultivate statistical thinking among students.
To prepare students for future courses having quantitative components. 

Course Outcome

CO1: To acquaint students with various statistical methods

CO2: To Cultivate statistical thinking among methods

CO3: To prepare students for future courses having quantitative components.

Unit-1
Teaching Hours:10
Introduction
 

Importance of Statistics, Primary and secondary data, data collection methods. Presentation of numerical and categorical data. 

Unit-2
Teaching Hours:12
Concepts of central tendency and dispersion
 

Mean, median, mode and partition values-quartiles for grouped and ungrouped data. Range, quartile deviation, standard deviation and coefficient of variation for grouped data 

Unit-3
Teaching Hours:12
Probability
 

Random Experiment- Sample space and events. Probability. rules. Conditional probability and Bayes theorm.

Unit-4
Teaching Hours:6
Random variable
 

Definition, types of random variables, probability functions, expectations and variance

Unit-5
Teaching Hours:5
Index Number
 

Laspeyres’, Paasches’, Fishers price and quantity index numbers. Time reversal and factor reversal tests. 

Text Books And Reference Books:

 

  1. Berenson and Levine, Basic Business Statistics, New Jersey, 6th edition, Prentice- Hall India, 1996.
Essential Reading / Recommended Reading
  1. D.C. Montogomery and G.C.Runger, Applied Statistics and Probability for engineers, New Jersey, John Wiley and Sons, 3rd edition, 2003. 
Evaluation Pattern

CIA: 50%

ESE: 50%

BCA133 - DIGITAL COMPUTER FUNDAMENTALS (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This is an introductory course that provides the required knowledge about the digital fundamentals of computers. The course covers a few topics like number systems, logic gates, and flips flops. The course starts with an introduction to number systems and its applications in computers. The discussion about the working of devices like encoders and decoders, multiplexers, and demultiplexers are dealt with.

Course Outcome

CO1: Ability to use math and Boolean algebra in performing computations in various number systems

CO2: Simplification of Boolean algebraic expressions.

CO3: Ability to design efficient combinational and sequential logic circuit

CO4: implementations from a functional description of digital systems.

Unit-1
Teaching Hours:12
Introduction to Number System and Codes
 

Number systems: Decimal numbers, Binary numbers: Counting in binary, The weighted structure of binary numbers, Octal numbers, hexadecimal numbers, and their mutual conversions, Binary arithmetic: Addition, subtraction, multiplication, and division of binary numbers, 1‘s and 2‘s complement, signed numbers, arithmetic operations: addition, subtraction with signed numbers, 9‘s and 10‘s complement, BCD numbers, BCD addition, BCD subtraction, Gray code: Binary to Gray code conversion, Gray to Binary conversion, Weighted code: 8421 code and non-weighted codes: ASCII and EBCDIC.

Unit-2
Teaching Hours:8
Boolean Algebra
 

Boolean operations and expressions, Laws and rules of boolean algebra, Demorgan‘s Theorem, Boolean expressions, Simplification of a Boolean expression.

Unit-3
Teaching Hours:10
Logic Gates
 

AND gate, OR gate, NOT gate, NAND gate, NOR gate, X-OR gate, X-NOR gate, The universal property of NAND gate and NOR gate, Realization of basic gates. The boolean expression for logic circuits, Karnaugh map SOP with examples.

Self learning: Universal property of NOR gates.

Unit-4
Teaching Hours:10
Combinational Logic
 

Basic Adders: Half adder, Full adder, 4-bit Parallel adders, Subtractor: Half subtractor, Full subtractor Implementation using logic gates, Decoders: 4-bit decoder, BCD to decimal decoder, Encoder: Decimal to BCD encoder, Multiplexer: 4 to 1 multiplexer, Demultiplexer: 1 to 4 demultiplexer.

Unit-5
Teaching Hours:10
Flip-flops
 

Latches: SR latch, Clocked flip-flops: SR flip-flop, D flip-flop, JK flip-flop, Positive edge-triggered flip flops, Timing diagrams, Master-slave JK flip-flop.

Unit-6
Teaching Hours:10
Registers and Counters
 

Modes of operation of registers: SISO, SIPO, PISO, and PIPO, Asynchronous counters: Four-bit ripple counter, Decade counter, Synchronous counters: Four bit synchronous counter, Decade counter

Self-Learning

Introduction to RAM, SRAM, DRAM, ROM, PROM, EPROM, EEPROM

Text Books And Reference Books:

Floyd, Thomas L: Digital Computer Fundamentals, 11th Edition, Pearson International, 2015.

Essential Reading / Recommended Reading

Malvino, Paul Albert, Leach, Donald P,GautamSaha: Digital Principles And Applications, TMH ,8th Edition, 2015.

Bartee, Thomas C: Digital Computer Fundamentals, 6 Edition,TMH, 2010.

Evaluation Pattern

CIA - 50%

ESE - 50%

BCA134 - INTRODUCTION TO PROGRAMMING USING C (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The course provides students with a comprehensive study of C programming language. The course lectures stress the strengths of C, which provides the outcome of writing efficient, maintainable and portable code. Course includes few lab exercises to make sure the student has not only gained the knowledge but can also apply and execute it. Objectives of the course are,

·         To study about algorithms, flowcharts and programs.

·         To solve problems through logical thinking.

Course Outcome

CO1: To clearly understand the logic of the problem.

CO2: To analyze the given problem and write the algorithm, flowchart.

CO3: To write structured C programs, this is the foundation of any programming language.

Unit-1
Teaching Hours:8
Introduction to computers and programming
 

Evolution of Computers, Generation of Computers, Classification of Computers.Characteristics of Computers. Advantages of Computers. Block Diagram of a Digital Computer. Types of Programming Languages.Structured Programming.Algorithms and Flowcharts with Examples.Programming Logic.

Unit-2
Teaching Hours:10
Introduction to C programming
 

History of C- Character set - Structure of a C program - constants, variables and keywords. Expressions – Statements – Operators – Arithmetic, Unary, Relational and logical, Assignment, Conditional. Library functions. Data Input and output – Single character input, getchar, getch, getc – Single character output putchar, putc, Formatted I/O scanf, printf, gets, puts.

Unit-3
Teaching Hours:11
Control structures and arrays
 

Branching: condition: if, if..else, switch. Looping: while, do..while, for, nested control structures, break, continue statement, goto statement. Arrays: definition, processing, types - One and Two dimensional arrays. String, string operations, arrays of strings.

Unit-4
Teaching Hours:11
Functions and Pointers
 

Functions: Definition, Accessing and prototyping, types of functions, passing arguments to functions, recursion, passing arrays to functions. Pointers: Definition, notation, applications, call by reference.

Unit-5
Teaching Hours:11
Structures, Unions and Files
 

Structures: Definition, Processing, user defined data type typedef - Unions – definition, declaration and accessing union elements. Enumerated Data type.Files: File opening in different modes, closing, reading and writing. fopen, fclose, fprintf, fscanf, getw, putw.

Unit-6
Teaching Hours:9
Low level programming and C preprocessor
 

Storage Structures: extern, register, static, auto. Bitwise Operations: AND, OR, exclusive OR, complement, right shift and left shift operators. Preprocessor: Types of C preprocessor directives. Macros- comparison with functions. File Inclusion. Command line Arguments.

Text Books And Reference Books:

[1] Byron Gottfried, JitenderChhabra ,Programming with C, 3rd Edition. Tata McGraw-Hill, 2010

Essential Reading / Recommended Reading

 

[1]    Balagurusamy E., Programming in ANSI C, 6thEdition,TataMcGraw-Hill,2012.

[2]    Deitel H M and Deitel P J, C- How to Program, 5thEdition, Prentice-Hall, 2006.

[3]   SmarajitGhosh, All of ‘C’,2ndEdition,2009.

[4]    M. T. Somashekara, Problem Solving with C, PHI,2009

Evaluation Pattern

CIA - 50%

ESE - 50%

BCA151 - DIGITAL COMPUTER FUNDAMENTALS LAB (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

This course offers an experimental view of hardware components, digital circuits and logic gates of a computer. Objective of the course is to understand the working principle and logic design of digital circuits.

Course Outcome

CO1: Students will demonstrate an ability to identify the basic components to build digital circuits.

CO2: Students will be able to design efficient Combinational and Sequential logic circuits.

Unit-1
Teaching Hours:60
List of programs
 

1. Demonstration of the components of (i) Kindle (ii) iPad (iii) Smart Phone (iv) Laptops

2. Demonstration of the installation and discussion of the features of different Operating

Systems. Eg: Mac, Unix, Ubuntu, Windows etc.

3. Verification of the truth tables of AND, OR & NOT gates.

4. Verification of the truth tables of NAND & NOR gates.

5. Verification of the truth table of XOR using NAND gates.

6. Verification of the truth table of Half Adder circuits using NAND gates.

7. Verification of the truth table of Full Adder circuits using NAND gates.

8. Verification of the truth table of D flip flop.

9. Verification of the truth table of JK flip flop.

10. Verification of the truth table of RS flip flop.

11. Binary To Gray Code and Gray Code to Binary Converter

12. Verification of the Function table of Binary Ripple Counter using JK FF.

13. Verification of the Function table of Decade Counter.

14. Verification of the Function table of Serial In Serial Out Shift Register using D FF.

Text Books And Reference Books:

Floyd, Thomas L: Digital Computer Fundamentals, 11th Edition, Pearson International, 2015.

Essential Reading / Recommended Reading

Malvino, Paul Albert, Leach, Donald P,GautamSaha: Digital Principles And Applications, TMH ,8th Edition, 2015.

Bartee, Thomas C: Digital Computer Fundamentals, 6 Edition,TMH, 2010.

Evaluation Pattern

CIA - 50%

ESE - 50%

BCA152 - C PROGRAMMING LAB (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

To learn problem solving through procedural language programming technique and Understand fundamentals of programming such as variables, conditional and iterative execution, methods, etc.

Course Outcome

CO1: Read, understand and trace the execution of programs written in C language.

CO2: Write the C code for a given algorithm

CO3: Implement Programs with pointers and arrays, perform pointer arithmetic, and use the pre-processor.

Unit-1
Teaching Hours:60
List of Programs
 

  1. To demonstrate the usage of operators and data types in C

a.       Write a program to print the size of all the data types with its modifiers supported by C and its range.

  1. Write a program to convert Fahrenheit to Celsius.

 

  1. To demonstrate the usage of if, if-else

a. Write a program to check whether the given number is a Prime number or not.

b. Write a program to accept three numbers and find the largest and second largest among them.

 

3. To demonstrate the concept of while, do-while, for loops, break and continue

a. Write a program to print all prime numbers between any 2 given limits.

b. Write a program to print all the Armstrong numbers between any 2 given limits.

 

4. To demonstrate the concept of arrays and strings

a. Write a program to check whether a string is a Palindrome.

b. Write a program to check whether a given matrix is an Identity matrix or not.

c. Write a program to perform matrix multiplication.

 

5. To demonstrate the concept of switch-case

a. Write a program to count the different vowels in a line of text.

b. Write a program to accept two numbers and perform various arithmetic operations (+, -, *, /) based on the symbol entered.

 

6. To demonstrate the usage of functions and recursion

a. Write a program to find the roots of a quadratic equation

b. Write a recursive program to find the factorial of a number.

 

7. To demonstrate the concept of structures and unions

a. Create an employee structure and display the same.

b. Create a student database storing the roll no, name, class etc. Implement modify and search operations.

 

8. To demonstrate the concept of

a. Write a function to swap two numbers using pointers

b. Write a program to access an array of integers using pointers

 

9. To demonstrate the concept of File

a. Create a file and store some records in it. Display the contents of the same. Implement search, modify, and delete operations.

 

10. To demonstrate the concept of Bitwise operators and preprocessors

a. Perform the different bitwise operations (menu driven program) .The i/p and the o/p should be displayed in Binary form.

b. Write a program to include your own header file.

 

Text Books And Reference Books:

Text Books and Reference Books

[1]   Byron Gottfried, JitenderChhabra ,Programming with C, 3rd Edition. Tata McGraw-Hill, 2010

Essential Reading / Recommended Reading

[1]    Balagurusamy E., Programming in ANSI C, 6thEdition,Tata McGraw-Hill,2012.

[2]    Deitel H M and Deitel P J, C - How to Program, 5thEdition, Prentice-Hall, 2006.

[3]    SmarajitGhosh, All of ‘C’,2ndEdition, 2009.

[4]    M. T. Somashekara, Problem Solving with C, PHI, 2009

 

Evaluation Pattern

CIA weightage 50%

ESE weightage 50%

BCA212 - STATISTICS TOOL LAB (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:1

Course Objectives/Course Description

 

This course is designed to help the students to explore and provide statistical knowledge with pragmatic tools for statistical analysis. The main objective of the course is to provide Hands-on Experience on any Statistical Tool.

Course Outcome

CO1: Acquire the basics to understand descriptive statistics by practical application.

CO2: Demonstrate their knowledge on the basics of inferential statistics by making valid generalizations from sample data.

Unit-1
Teaching Hours:30
List of programs
 

1.      Calculate mean, median, mode and display results in proper format.

2.      Calculate the product and sum of two vectors.

3.      Calculate Range, quartile deviation, standard deviation and coefficient of variation for grouped data.

4.      Partition values-quartiles for grouped and ungrouped data and display formatted results.

5.      Data Base Creation (including vector, matrix, data frames).

6.      Graphical representation (Bar, Pie, Line, Histogram, Scatter).

7.      Cross tabulation and Descriptive Statistics.

8.      Implement Correlation.

9.      Perform simple Regression and show results in chart.

10.  Testing of hypothesis for single mean.

11.  Testing of hypothesis for comparison of means.

12.  Chi-square test for independence of attributes.

Text Books And Reference Books:

-

Essential Reading / Recommended Reading

-

Evaluation Pattern

CIA - 100%

BCA221 - COMMUNICATIVE ENGLISH (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:2

Course Objectives/Course Description

 

communicative english BCA 221

Course Description:

This course focuses on making students understand the vitality of English as a tool in implementing and; interpreting technical and professional communication. The course aims at detecting and nurturing research skills through English for professional development. A holistic approach to recognize the fundamental role of language in technical communication is undertaken.

Course Objective:

§  Nurture an enquiring spirit through English language in Technical communication

§  Enhance English implementation in English learning for professional purposes

§  Encourage students towards autonomous learning through enhanced English comprehension that go beyond the classroom

Course Outcome

CO1: Students will demonstrate better comprehension and interpretation of technical literature

CO2: Rudimentary research aptitude through language up-gradation will be initiated

CO3: Learn the nuances of professional communication through English language

Unit-1
Teaching Hours:5
PRONUNCIATION
 

The most regularly used words in their field of knowledge, the most often committed mistakes and their right pronunciation will be given to the students. Applications available in this context can be made familiar to learners.

§  Phonetics – students can me taught phonetics through phonetic apps that enable the student to relate the symbol with the sound. They can be taught to read and transcribe words to ensure ample understanding

§  Commonly mispronounced words – technical vocabulary can be focused here. Audio sessions can be implemented to enable auditory retention

§  Common errors in grammar – cooperative language learning will help students familiarize common errors and rectifications

Unit-2
Teaching Hours:10
TECHNICAL LITERATURE
 

Students need to learn to read and study literature of their subject. Any form of literature in context to the subject can be taken and students can be involved in these chapters mentioned below

§  Comprehensive questioning of procedural writings &  Comprehension answering of procedural queries – through subject based literature students can be taught cognition and responding to the prescribed material through writing and speaking

§  Issuing of instructions – instructions being an integral part of their area of expertise, students need to be made familiar with the sequencing and of ideas and brevity of language. This can be carried out through written and spoken format.

§  Procedural instructions – a set of operating procedures for a piece of technical equipment can be carried out in through first through oral presentations and writing exercises

§  Discussion of processes, errors or glitches – going beyond the usual, students must be acquainted with dealing the nitty-gritty of technical literature. They must be taught to spell out glitches or errors to enable smooth functioning

Unit-3
Teaching Hours:8
RESEARCH ORIENTATION
 

An integral part of in-depth learning involves research. In this unit research will be introduced to the students. The nuances of  exploratory study and their approaches will be made familiar to the students

§  Structure of the essay – students need to be familiarized on the format and elements that contribute to a holistic essay. Deconstruction of essays can be carried out through cooperative learning and deliberated.

§  Topic sentence recognition – Technical English calls for detection of topic sentence recognition of any technical literature. Students can be taught on detecting keywords and significant concepts that will aid in the process

§  Thesis statement identification – research publications are an integral part of technical writing. Students can be provided research articles and familiarized on the format and texture of a thesis statement

§  Interpretation of data – quantitative study is entirely dependent on data analysis and interpretation. The language to be used in the process can be fine-tuned for the students through case studies of the same

§  Comprehension, organization of ideas and execution of writing project proposal – once learners have been taught the elements of a research paper, they can be encouraged to work in groups and draft their own research paper integrating all the major elements.

Unit-4
Teaching Hours:6
ANALYTICAL STUDY
 

An extension of rudimentary research is present in this chapter. Students will be encouraged to analyse texts, interpret and rewrite them.

§  Rhetoric analysis; a comparative analysis of two texts – in context to the literature prescribed, students must be enabled to make a detailed study of the texts and chart out differences and similarities.

§  Critical analysis – students can be taught to scrutinise the text based on the context and produce a systematic response

§  Paraphrasing – in a professional atmosphere data needs to be interpreted and paraphrased. Tasks with data analysis can be used to help students comprehend the implementation of paraphrasing in the written

Unit-5
Teaching Hours:6
OFFICIAL CORRESPONDENCE
 

Productive skill; writing is nurtured in this chapter. A few elements of the same was handled in the first semester. Here students will further finesse their writing skills

§  Official letter – the types and format of official letter can be imparted through examples. Students can be then asked to draft letters of their own. Etiquettes of letter writing, register, style and specific language phrases must be taught. H examples can be used to emphasise.

§  Internet correspondence – the soft skills for corresponding through email, carbon copying, blind carbon copying, salutations, register, style, format and diction must be made familiar to the students,

§  Resume writing – the organization of a resume along with the covering letter can be imparted to the learners through providing several samples. They can then be made to draft a resume with covering letter of their own.

Unit-6
Teaching Hours:10
SPEAKING SKILL
 

The previous semester dealt with a few productive oral skills. Furthering their productive expertise, speaking skills are taken into consideration. Students will be encouraged to demonstrate their skills under guidance of the teacher.

Interview – types of interviews can be elaborated to the learners. The essential language and skills required must be emphasised verbally and through case studies. Students can be encouraged to demonstrate the acquired knowledge through simulated sessions

§  Presentations – the critical features and language checklists must be emphasised. Introducing the topic, linking, sequencing and dealing with questions must be mad familiar. The soft skills and paralinguistic aspects can be taught through examples. Group demonstrations must be mandatory

§  Conference – the soft skills and language finesse required must be made clear to the students. Checklists can be provided as learning aids. Chairing sessions, targeting issues, key language, and steering the meeting is required to be acquainted. Audio visual examples can be screened and re-emphasis through practice sessions can be carried out.

Text Books And Reference Books:

Day, R A. Scientific English: A Guide for Scientists and Other Professionals. 2nd ed. Hyderabad: Universities Press, 2000. .

[2] Meenakshi Raman and Sangeetha Sharama . 2009. Technical Communication-Principles and Practice; - Oxford University Press,

[3] Jay. Effective Presentation. New Delhi: Pearson, 2009.

Essential Reading / Recommended Reading

English for Effective Communication. Oxford University Press, 2013.

Lynch, Tony. Study Listening. New Delhi. CUP, 2008.

Evaluation Pattern

CIA I - 20

MID SEMESTER EXAMINATION - 50

CIA II - 20

BCA231 - BASIC DISCRETE MATHEMATICS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This course aims at introducing the students into the world of Discrete Mathematics. It includes the topic like Set Theory, Functions and Relations. They gain a historical perspective of the development of modern discrete mathematics and application of the same in the field of Computer Science.

 

Course Objectives: This course will help the learner to

COBJ1. be proficient in the topics set theory, functions and relations.

COBJ2. enhance the problems solving skills in set theory, functions, relations, sequences, series and matrices

Course Outcome

On successful completion of this course, students will be able to 

CO1. Demonstrate a working knowledge of set notation and elementary set theory, recognize the connection between set operations and logic
CO2. Prove elementary results involving sets
CO3. Apply the different properties of injections, surjections, bijections, compositions, and inverse functions
CO4. Demonstrate the use of mathematical reasoning by justifying and generalizing patterns and relations
CO5. Determine when a relation is reflexive, symmetric, antisymmetric, or transitive, apply the properties of equivalence relations and partial orderings, and explain the connection between equivalence relations 

Unit-1
Teaching Hours:15
Set Theory and Theory of Functions
 

Sets, Set Operations, Functions

Unit-2
Teaching Hours:15
Applications of Functions and Theory of Matrices
 

Sequences and Summations, Cardinality of Sets, Matrices

Unit-3
Teaching Hours:15
Relations
 

Relations and Their Properties, Equivalence Relations, Partial Orderings 

Text Books And Reference Books:

K. H. Rosen, Discrete Mathematics and its Applications, 7th ed., McGraw – Hill, 2012. 

Essential Reading / Recommended Reading
  1. R.P. Grimaldi and B.V. Ramana, Discrete and Combinatorial Mathematics, An applied introduction, 5th ed., Pearson Education, 2007.
  2. D. S. Chandrasekharaiah, Discrete Mathematical Structures, 4th ed., India: PRISM Book Pvt. Ltd., 2012
  3. J. P. Tremblay and R. Manohar, Discrete Mathematical Structures with Application to Computer Science, Reprint, India: Tata McGraw Hill Education, 2008.
Evaluation Pattern

EXAMINATION AND ASSESSMENTS

 

Component

Mode of Assessment

Parameters

Points

CIA I

Written Assignment

Class test(online)

Problem working

Mastery of the core concepts

10

CIA II

Mid-semester Examination

Basic, conceptual and analytical knowledge of the subject

25

CIA III

Written Assignment

Class test, Quiz (Online),

Problem working in class

Mastery of the core concepts

10

Attendance

Attendance

Regularity and Punctuality

05

ESE

 

Basic, conceptual and analytical knowledge of the subject

50

Total

100

 

BCA232 - STATISTICS II FOR BCA (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

 The course statistics-II describes the concept of correlation and regression, probability distribution and testing hypothesis.

 Objectives of the course are 

  • To acquaint students with various statistical methods.
  • To cultivate statistical thinking among students.
  • To train the students to apply the suitable statistical methods for real life data set for analysis.

 

Course Outcome

C01: Understand and analyze bivariate data with respect to their association.

C02: Apply different models to the univariate and bivariate data set pertaining to real life problems.

C03: Apply various tests of hypothesis understand their interpretation.

Unit-1
Teaching Hours:10
Correlation and Regression
 

Scatter diagram, Karl Pearson’s and Spearman’s correlation coefficient and their properties. Regression and properties of regression coefficient.

Unit-2
Teaching Hours:10
Probability Distributions
 
 

Discrete and continuous random variables. Probability mass and density functions. Expectation. Binomial, Poisson and normal distributions

Unit-3
Teaching Hours:10
Sampling distribution and confidence interval
 
 

Sampling distribution and estimation. Parameter and statistic. Chi-square, t and F distributions (definitions only) Confidence intervals for Single mean and difference between two means for known and unknown variances of normal distribution. Confidence interval for Single population proportion and difference of two population proportions.

Unit-4
Teaching Hours:15
Testing of Hypothesis
 

 

Types of hypothesis. Level of significance. Types of errors. Test for single mean and difference of means. Paired t test. Tests for proportions. Chi square test for independence of attributes.

Text Books And Reference Books:
  1. Berenson and Levine, Basic Business Statistics, New Jersey, Prentice- Hall India, 6th ed. 1996.
  2. SP Gupta, Statistical Methods, Sultan Chand & Sons, new Delhi, 41st Revised Edition, 2015.

 

Essential Reading / Recommended Reading
  1. C.Montogomery and G.C.Runger, Applied Statistics and Probability for engineers, New Jersey, John Wiley and Sons, 3rd ed. 2003.
Evaluation Pattern

CIA 50%

ESE 50%

BCA233 - OPERATING SYSTEMS (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Objectives

This course is an introduction to the concepts behind modern computer operating systems. Topics will include what an operating system does (and doesn't) do, system calls and  interfaces, processes, resource scheduling and management (of the CPU,  memory,  etc.),  virtual memory.

Objectives of the course are

To acquire the fundamental knowledge of the operating system architecture and its components

To know the various operations performed by the operating system.

 

Course Outcome

CO1: Upon completion of the course students will be able to:

CO2: Understand the basic working process of an operating system. CO3: Understand the importance of process and scheduling.

CO3: Understand the issues in synchronization and memory management.

Unit-1
Teaching Hours:8
Introduction and System Structures
 

Operating System Fundamentals; Computer System organization and architecture; Operating System structure and operations; Basics of process, memory and storage management and protection and security; Operating System services; User interface; System calls; System programs; Operating System structure; System boot.

Unit-2
Teaching Hours:12
Process Management
 

Process concept; Process scheduling; Operations on processes; Inter Process Communication; Overview of Threads; Multi-threading models; Threading issues

 

Unit-3
Teaching Hours:12
Process Synchronization
 

Need of synchronization; Critical section problems; Peterson‘s solution; Synchronization hardware; Mutex Locks; Semaphores, Classical  problems  of  synchronization, Synchronization examples, Thread synchronization using mutex and semaphore.

Unit-4
Teaching Hours:6
CPU Scheduling
 

CPU Scheduling concepts; Scheduling criteria; Scheduling algorithms; Overview of thread scheduling; Multi-processor scheduling

Unit-5
Teaching Hours:12
Memory Management
 

Overview; Swapping; Memory allocation; Segmentation; Paging, Structure of the page table

 

Unit-6
Teaching Hours:10
Self Learning
 

File system structure, Directory structure

Unit-6
Teaching Hours:10
Virtual Memory
 

Overview; Demand paging; Copy on Write; Page replacement; Allocation of  Frames; Thrashing

Text Books And Reference Books:

Text Books and Reference Books:

[1] A. Silberschatz, P.B. Galvin and G. Gagne, Operating System Concepts.9th Edition, New Delhi: Wiley India, 2011.

Essential Reading / Recommended Reading

Essential Reading/Recommended Reading

[1]   Stalling William, Operating Systems: Internals and Design  Principles.  7th  Edition, Prentice Hall,2011.

[2]   Dietel et al, Operating System.3rd Edition. Pearson Education,2004.

[3]    A.S. Tanenbaum, Modern Operating Systems.3rd Ed, Prentice Hall,2007.

Evaluation Pattern

CIA : 50

ESE : 50

BCA234 - DATA STRUCTURES (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Data Structure is considered as one of the fundamental paper towards a more comprehensive understanding of programming and application development. The student is expected to work towards a sound theoretical understanding of Data Structures and also compliment the same with hands-on implementing experience.

Objectives of the course are

- Tobeabletopracticallyimplementthedatastructureslikestack, queue, array, etc.

- To understand and implement different searching and sorting techniques.

 

Course Outcome

CO1: Understand the need for Data Structures when building applications.

CO2: Able to walk through insert and delete for different data structures.

CO3: Ability to calculate and measure the efficiency of the code.

CO4: Improve programming skills.

Unit-1
Teaching Hours:10
Arrays
 

Introduction to data structures- Arrays and Structures: Abstract Data Type, Array in C, Dynamically Allocated Arrays, Structures, Unions, Internal Implementation of Structures, Self-Referential Structures, Polynomial Representation, Polynomial Additions.-sparse matrix

 

Unit-2
Teaching Hours:10
Searching and String
 

Linear Search, Iterative Binary Search, Recursions, Recursive Binary Search, String Abstract Data Type, String in C, Pattern Matching.

 

Unit-3
Teaching Hours:9
Stacks and Queues
 

Stacks- stacks using dynamic arrays- queues – circular queue using dynamic arrays- Evaluation of Expressions, Evaluating Postfix Expressions, Infix toPostfix

Unit-4
Teaching Hours:9
Linked Lists
 

Pointers, Using Dynamically Allocated Storage, Singly Linked Lists, Dynamically Linked Stacks and Queues, Polynomials, Representing Polynomials as Singly Linked Lists, Adding Polynomials, Erasing Polynomials, Polynomials as Circularly Linked Lists, Doubly Linked Lists.

 

Unit-5
Teaching Hours:10
Trees
 

Introduction, Terminology, Representation of Trees, Binary Trees, Abstract Data Type, Properties of BinaryTrees,BinaryTreeRepresentations,BinaryTreeTraversalsBinarySearchTrees:Introduction, SearchingaBinarySearchTree, InsertinganElement,DeletinganElement,HeightofBinarySearch Tree

Unit-6
Teaching Hours:12
Sorting techniques and Graphs
 

Introduction, Bubble Sort, Insertion Sort, Selection Sort, Quick Sort, Merge Sort. Graphs— Introduction-Definition-representation-Depth first search-Breadth first search

 

Text Books And Reference Books:

[1] Horowitz Sahni Anderson-Freed, Fundamental of Data Structures in C, Universities Press, Reprint 2009.

Essential Reading / Recommended Reading

[1] Yashwant Kanetkar, Data Structures Through C, 9th Edition, BPB Publication 2010.

[2] Tremblay J.P and Sorenson P.G: An Introduction to Data Structures with Applications,2nd  Edition, 2002, TMH.

 

Evaluation Pattern

CIA --50%

ESE---50%

BCA251 - OPERATING SYSTEMS LAB (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Objectives

This lab introduces basic commands in LINUX and helps students in familiarizing  the  concepts of operating system through various commands related to  operating  system  activities.

Course Outcome

CO1: To make students able to implement various LINUX commands.

CO2: Students will also be able to implement different process related commands

Unit-1
Teaching Hours:60
List of programs
 

1.      To study the execution of various file/directory handling commands.

2.      To study the various commands operated in vi editor in LINUX.

3.      To study the various File Access Permission and different types of users in LINUX

4.      To study about process related commands.

5.      To study about the commands related to memory allocation of variables for a process.

6.      To study about commands for viewing system calls.

7.      To study about commands used for debugging.

8.      Write a program to demonstrate basic operations of a process.

9.      Write a program to create a Zombie process and an orphan.

10.  Write a program to demonstrate a one-way pipe between two processes.

11.  Write a program to illustrate a two way pipe between two processes.

12.  Write a program to demonstrate a one-way communication between two processes using FIFO

13.  Write a program to demonstrate a two-way communication between two processes using FIFO

14.  Demonstrate process synchronization using semaphore.

15.  Demonstrate the basic operations of thread.

16.  Demonstrate thread synchronization using mutex.

17.  Demonstrate thread synchronization using semaphore.

 

Text Books And Reference Books:

Text Books and Reference Books:

[1] A. Silberschatz, P.B. Galvin and G. Gagne, Operating System Concepts.9th Edition, New Delhi: Wiley India, 2011.

Essential Reading / Recommended Reading

Essential Reading/Recommended Reading

[1]   Stalling William, Operating Systems: Internals and Design  Principles.  7th  Edition, Prentice Hall, 2011.

[2]   Dietel et al, Operating System.3rd Edition. Pearson Education, 2004.

[3]    A.S. Tanenbaum, Modern Operating Systems.3rd Ed, Prentice Hall, 2007.

 

Evaluation Pattern

CIA : 50

ESE : 50

BCA252 - DATA STRUCTURES LAB (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:02

Course Objectives/Course Description

 

The course is designed to provide a practical exposure on data structure and its applications.

Course Outcome

CO1: Students acquire the knowledge to build the logic and develop a solution for a problem statement.

Unit-1
Teaching Hours:60
List of programs
 
  1. Strings:

    1. Write a menu driven program to compare, concatenate, copy strings and find the length of astring.

    2. Write a menu driven program to find the index of a pattern in a given string and to extract asubstring.

  2. Arrays

    1. Write a program to insert and delete an element(s) in one dimensionalarray.

    2. Write a program to insert and delete an element(s) in twodimensional arrays.

  3. Sparse Matrix

    1. Write a menu driven program to read a sparse matrix of integer values and to search the sparse matrix for any element specified by theuser.

    2. Write a program to print the appropriately triple < row, column, "value" > that represents the elements in the sparsematrix.

 

  1. SearchingTechniques:

    1. Write a program to implement Linear Search withsentinels

    2. Write a program to implement Binary Search usingrecursion

  2. Sortingtechniques:

    1. Write a menu driven program to implement insertionsort

    2. Write a menu driven program to implement selectionsort.

    3. Write a menu driven program to implement quick sort usingrecursion

    4. Write a menu driven program to implement merge sort usingrecursion.

  3. Singly linkedlist:

    1. Write a menu driven program to implement singly linked lists creation, insertion and deletion

  4. Stack:

    1. Write a menu driven program to implement different operations on a stack using an array and linkedlist.

  5. Queue:

    1. Write a menu driven program to implement different operations on a queue using an array and linkedlist.

  6. Binary searchtrees:

    1. Write a menu driven program to create a binary search tree and to perform Insertion and different types oftraversal

  7. Graphs:

    1. Write a menu driven program to implement breadth first search(bfs)

    2. Write a menu driven program to implement depth first search(dfs)

Text Books And Reference Books:

[1] Horowitz Sahni Anderson-Freed, Fundamental of Data Structures in C, Universities Press, Reprint2009.

Essential Reading / Recommended Reading
  1. Yashwant Kanetkar, Data Structures Through C, 9th Edition, BPB Publication 2010.

  2. Tremblay J.P and Sorenson P.G: An Introduction to Data Structures with Applications,2nd Edition, 2002, TMH.

Evaluation Pattern

 

Category

Component

Description

Marks

 

Part -1 CIA-100

Marks

 

 

CIA

Section A Programs

25

Section B Programs

25

Section C Programs

25

Section D Programs

25

 

 

 

 

Part-2 ESE-100

Marks

 

Test1

 

Questions based-on Section A

 

20

 

Test2

Questions based-on Section A (and/or) B

 

25

Test3

Questions based-on Section A

(and/or) B (and/or) C

25

Test4

Questions based-on Section A

(and/or) B (and/or) C (and/or) D

30

 

 

Total

200

 

- CIA is the regular assessment of programs from the list having four sections (A-D). Each program carries 25 marks and the average in each section is considered for final CIA.

- Evaluation Rubrics for each program in CIA is asfollows:

Attendance andon-timecompletion [5Marks]

Draft(observation) & Final Program(upload) [5Marks]

Complexity (Concepts&Operations) [5Marks]

FormattingandValidation [5Marks]

Viva-voce [5Marks]

- If a student fails to appear for any of the Test, there will be only one repeat test conducted in the last week of the semester. To appear for the repeat test, the student has to apply for the same in the format given by the class teacher and by paying the required fee, one week before the scheduled date. Appearance in the re-test is subject to the approval by the Course teacher, Programme Coordinator and Head of theDepartment.

BCA312 - ACCOUNTING TOOLS LAB (2020 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:1

Course Objectives/Course Description

 

The main objective of this tools lab is to practically implement the concepts in accounting.

 

Course Outcome

CO1: Understanding the practical concepts of accounting.

CO2: Analyzing different financial statements and applying suitable solutions to generate a correct balance sheet.

CO3: Design a solution to solve accounts-related problems.

Unit-1
Teaching Hours:30
List of Programs
 

1.     Creation of inventory groups andledgers.

2.     Consider an asset with an initial cost of Rs10000, a salvage value (residual value) of Rs1000

       and a useful life of 10 periods (years).Solve the above using Straight Line Depreciation.    

3.     Vouchers, types and vouchers entry.

4.     Creation of various accounting Ledgers.

5.     Purchase order and sales order processing.

6.     Generating trial balance, income statement and balancesheet.

7.     Displaying Income statement and balance sheet under different options and time periods

8.     Creation of pay rollrecords.

9.     Recording of Pay roll information and salary statement.

 

Text Books And Reference Books:

Official guide to financial accounting using tally. BPB publications 2018. ISBN-13;978-9387284036.

Essential Reading / Recommended Reading

 Computerised Accounting using Tally.ERP 9 (English),Sahaj Enterprises,2015

Evaluation Pattern

CIA:50%

ESE:50%

BCA331 - INTRODUCTION TO NUMBER THEORY AND ALGEBRA (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course aims at familiarizing the students with the basic concepts, some important results and proofs in Number Theory and includes some fundamental theories required for learning cryptography. It also introduces the students to some of the fundamental concepts of Group Theory.

  • Define and interpret the concepts of divisibility, congruence, greatest common divisor, prime, and prime-factorization.
  • Solve congruences of various types, and make use of the theory of congruences in perceiving applications in cryptography.
  • Define and analyze groups, semigroups, subgroups, order of an element, cyclic groups, coset decomposition and prove theorems related to these concepts.

Course Outcome

CO1: Define and interpret the concepts of divisibility, congruence, greatest common divisor, prime, and prime-factorization

CO2: Solve congruences of various types, and make use of the theory of congruences in perceiving applications in cryptography

CO3: Define and analyze groups, semigroups, subgroups, order of an element, cyclic groups, coset decomposition and prove theorems related to these concepts

Unit-1
Teaching Hours:15
Introduction to Number Theory
 

Divisibility, Division Algorithm, Modular Arithmetic, Application of Congruences, Cryptology, Primes and Greatest Common Divisors

Unit-2
Teaching Hours:15
Integers and Algorithms
 

Representation of Integers, Algorithms, Modular Exponentiation, Euclidean Algorithm, Results on Congruences, Chinese Remainder Theorem, Fermat's Theorem, Applications of Number Theory, Public Key Cryptography

Unit-3
Teaching Hours:15
Algebraic structures
 

Structure of Algebras, Semigroups, Groups, Subgroups, Generators of a group, Cosets and Lagranges Theorem, Isomorphism, Automorphisms, Permutation groups, Odd and Even permutations

Text Books And Reference Books:

1

.

K. H. Rosen, Discrete Mathematics and its Applications, 7th ed., McGraw – Hill, 2012.

2

 

D. S. Chandrasekharaiah, Discrete Mathematical Structures, 4th ed., India: PRISM Book Pvt. Ltd., 2012.

 

Essential Reading / Recommended Reading

1

.

R. P. Grimaldi, Discrete and Combinatorial Mathematics: An Applied Introduction,5th ed., New Delhi: Pearson, 2014.

2

.

S. Lipschutz and M. Lipson, Discrete Mathematics, New Delhi: Tata McGraw-Hill, 2013

3

.

N. L. Biggs, Discrete Mathematics, 2nd ed., New Delhi: Oxford University Press, 2014

4

.

J. P. Tremblay and R. Manohar, Discrete Mathematical Structures with Application to Computer Science, Reprint, India: Tata McGraw Hill Education, 2008.

Evaluation Pattern

CIA: 50%

ESE: 50%

BCA332 - FINANCIAL ACCOUNTING (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The objective of this paper is to provide some basic knowledge about accounting concepts, conventions, and procedure to record the business transactions. This is also to give them an overall idea about how accounting standards are followed in recording and maintaining books of accounts. It helps them in reading and analysing the financial position of the company. 

Course Outcome

CO1: Students will be familiarised with the various accounting terminologies in dealing with financial statements in their careers.

CO2: Students will be equipped to understand the fundamental principles and aspects of Accounting.

CO3: Students will be able to prepare Annual Financial Statements and analyse the same to get a clear picture of the position of the business

CO4: Students shall develop the interpretations for financial statements and suggest future strategies for the business.

Unit-1
Teaching Hours:12
Journal
 

Meaning and Need, Steps in Journalizing, Problems on Journal Entry.

Unit-1
Teaching Hours:12
Subsidiary Books
 

Meaning, Classification and Advantages. 

Unit-1
Teaching Hours:12
Introduction
 

Accounting Meaning, Need for accounting, Users of Accounting Information, Meaning of Bookkeeping, Accounting principles, Accounting cycle, Phases of Accounting, Accounting Equation

Unit-1
Teaching Hours:12
Double Entry
 

Meaning, Nature and Principles of Double Entry. 

Unit-2
Teaching Hours:6
Ledger
 

Meaning, Difference between Journal and Ledger, Steps in posting. Problems on Ledger

Unit-2
Teaching Hours:6
Trial Balance
 

Meaning and objectives of preparing Trial Balance.Comprehensive problems on Journal, Ledger and Trial Balance. 

Unit-3
Teaching Hours:8
Cash Book
 

Meaning, objectives and classifications of cash book. Difference between cash dicount and trade discount. Problems on Three column cash book

Unit-4
Teaching Hours:14
Final Accounts
 

Meaning, Need for preparation of Final Account, Components of Final accounts. Problems with adjustments

Unit-5
Teaching Hours:5
Depreciation
 

Meaning, Need for providing Depreciation. Problems on different methods of Depreciation (Straight Line Method and Written Down Value Method)

Text Books And Reference Books:

 1. Fundamentals of Accounting, Kalyani Publishers, S P Jain and K L Narang 2020

 

 

Essential Reading / Recommended Reading

1. Fundamentals of Accounting, Universal Publications, B S Raman, 2020

2.  Accounting for Managers, Himalaya Publishing House, R Venkata Raman and Srinivas, 2020 

3. S.N. Maheshwari  & S.K. Gupta “Introduction to Accounting” 2020

Evaluation Pattern

CIA I A

CIA I B

CIA II

CIA III

ESE

Attendance

Total

5%

5%

25%

10%

50%

5%

100%

BCA333 - OBJECT ORIENTED PROGRAMMING USING JAVA (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

     This course teaches students how to develop java applications. Course gives an overview of difference between C++ and Java. Students will be developing and testing java application as a practical course work.  The course introduces the concept of UI design in java using SWING and JAVAFX.

Course Outcome

CO1: Understanding the basic concepts of object oriented programming.

CO2: Apply the Object Oriented Programming concepts in solving real world applications

CO3: Build Client/Server GUI applications using SWING and JAVAFX.

Unit-1
Teaching Hours:10
JAVA BASICS
 

Java Fundamentals

Object oriented programming concepts – Benefits of OOPS-The origins of java -  java’s  lineage C and C++ - how java impacted the internet - java bytecode - a first simple program - the java keywords - identifiers in java - the java classlibraries.

 

Introducing data types and operators

Why data types are important - java’s primitive types - literals - a closer look at variables -     the scope and lifetime of variables - operators - type conversion in assignments - casting incompatible types - operator precedence-expressions.

 

 Programcontrolstatements                                                                                                       Input characters from the keyboard - if statement - switch statement  -  for  loop  -  the  enhancedforloop-thewhileloop-thedo-whileloop–break–continue-nestedloops.

Unit-2
Teaching Hours:10
ARRAYS AND CLASSES
 

Arrays 

One dimensional arrays - multidimensional arrays - irregular arrays - alternative array declaration syntax - assigning array references - using the length member- the  for each style  for loop – command linearguments.


Class fundamentals - how objects are created - reference variables and assignment - methods returning a value - using parameters - constructors - parameterized constructors - the new operator revisited - garbage collection - the this keyword - controlling access  to  class  members - method overloading -overloading constructors - understanding static - introducing nested and innerclasses.

 

Unit-3
Teaching Hours:11
INHERITANCE,STRINGS AND EXCEPTION HANDLING
 

Inheritance, Strings And Exception Handling Inheritance

Inheritance basic - member access and inheritance - constructors  and  inheritance  -  using super to call superclass constructors - using super to access superclass members - creating a multilevel hierarchy - superclass references and subclass objects - method overriding - using abstract classes -using final - the objectclass.

 

Strings

 

Constructing strings - operating on strings - arrays of strings - strings are immutable - using a string to control a switch statement - different string handling functions.

 

 Exceptionhandling

 

The exception hierarchy - exception handling fundamentals - the consequences  of  an  uncaught exception - using multiple catch statements - catching subclass exceptions -  try blocks can be nested - throwing an exception - using finally -using throws - java’s built in exceptions - creating exceptionsubclasses.

Unit-4
Teaching Hours:11
INTERFACES, USING I/O AND MULTI THREADING
 

 Interfaces, Using I/O And  MultiThreading

 

Packages and Interfaces

 

Packages - packages and member access - understanding protected members -importing packages - Interfaces - implementing interfaces - using interface references - variables in interfaces - interfaces can be extended - default interface methods - use static methods in an interface.

 

 UsingI/O                                                                                                          

 

Java’s I/O is built upon streams - byte streams  and character  streams - the  byte  stream  classes - the character stream classes - the predefined streams-using the  byte  streams  -  reading and writing files using byte streams - reading and writing binary data, using java’s character based streams - file I/O using characterstreams.

 

 Multithreaded  programming


Multithreading fundamentals - the thread class and runnable interface - creating a thread - creating multiple threads - determining when a thread ends  -thread  priorities  -  synchronization - suspending, resuming, and stoppingthreads.

Unit-5
Teaching Hours:9
SWING
 

Introducing swing - the origins and design philosophy of swing - components and containers

- layout managers - swing event handling - use of JButton -work with JTextField - create a JCheckBox - work with JList.

 

 SelfStudy

 

Advanced SWING components

Unit-6
Teaching Hours:9
INTRODUCING JAVAFX
 

 INTRODUCING  JAVAFX                                                                                                          

 

Javafx basic concepts - the javafx packages - the stage and scene classes -nodes and scene graphs - layouts - the application class and the life-cycle methods - launching a javafx application - a javafx application skeleton -compiling and running a javafx program - the application thread - a simple javafx control- label - using buttons and events - three more  javafx controls-CheckBox – ListView – TextField-introducing effects and transforms.

Text Books And Reference Books:

[1]   Schildt Herbert, Java :The Complete Reference, Tata McGraw- Hill, 10th Edition,2017

[2]   Dr.Rao,Nageswara ,Core Java,An Integrated Approach ,New Edition Kongent Solutions Inc, 2009. 2005.

 

Essential Reading / Recommended Reading

[1]   Java ™ A Beginner’s Guide, Herbert Schildt, McGraw-Hill Education, 7th Edition, 2017

Evaluation Pattern

CIA - 50%

ESE - 50%

BCA334 - DATABASE MANAGEMENT SYSTEM (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course concentrates on introduction, principles, design and implementation of DBMS. It introduces about the distributed system and brief about data mining and data warehouse. To provide  strong  foundation  of  database  concepts   and   develop   skills   for   the   design   and implementation  of  a  database  application  with  a  brief  exposure  to  advanced   databaseconcepts.

Course Outcome

CO1: Understanding the core terms, concepts, and tools of relational database management systems

CO2: Understanding database design and logic development for database programming

Unit-1
Teaching Hours:10
DBMS Architecture
 

Data Models – Categories of data models, Schemas, Instances, and Database states. DBMS Architecture and Data Independence – The Three schema architecture, Data independence - DBMS Languages and Interfaces. Classifications of Database Management Systems.

Unit-1
Teaching Hours:10
Introduction
 

Data, Database, Database management system, Characteristics of the database approach, Role of Database administrators, Role of Database Designers, End Users, Advantages of Using a DBMS and When not to use aDBMS.

Unit-2
Teaching Hours:10
Data Modeling Using Entity-Relationship Model
 

Using High Level Conceptual Data Models for Database Design, Example Database applications. Entity types, Entity Sets, Attributes and Keys. Relationships, Relationship types, Roles and Structural constraints. Weak Entity Types and Drawing E- R Diagrams.

Unit-2
Teaching Hours:10
Index Structures for Files
 

Single Level Ordered Indexes – Primary indexes, Clustering indexes and Secondary indexes. Multi-level indexes, Hashing concepts.

Unit-3
Teaching Hours:10
Database Design
 

Functional dependencies and Normalization for Relational Databases - Normalization concepts, first, second, third normal forms, Boyce-Codd normal form.

Unit-3
Teaching Hours:10
Relational Data Model
 

Relation, Integrity constraints - domain, entity and Referential integrity constraints, Basic Relational Algebra operations, select, project and join operations.

Unit-4
Teaching Hours:10
Transaction Processing Concepts and Concurrency Control Techniques
 

Transaction and System concepts – Desirable properties of Transactions – Schedules and Recoverability. Lock-Based Protocols – Locks, Granting of Locks, and Two phase locking protocol and implementation of locking.

Unit-4
Teaching Hours:10
SQL
 

SQL data definition and data types, specifying constraints in SQL, schema change statements, Basic queries, More Complex SQL queries, INSERT, DELETE and UPDATE statements in SQL, Views – Concept of a view in SQL.

Unit-5
Teaching Hours:10
Database Recovery
 

Recovery Concepts: Recovery Outline and Categorization of Recovery Algorithms, Caching Buffering of Disk Blocks, Write-Ahead Logging, Steal/No-Steal, and Force/No-Force, Checkpoints in the System log and Fuzzy Check pointing, Transaction Rollback.

Unit-5
Teaching Hours:10
Data Base Administration
 

Introduction to Database security issues, Discretionary Access Control Based on Granting/Revoking of Privileges and Multi-level security.

Unit-6
Teaching Hours:10
Distributed Databases
 

Distributed database concepts, Data fragmentation, Replication, and Allocation Techniques for Distributed database design, Types of Distributed database systems.

Unit-6
Teaching Hours:10
Introduction to Advanced Database concepts
 

Brief introduction to Data warehousing and Data mining.

Text Books And Reference Books:
  1. Elmasri Ramez and Navathe Shamkant B, Fundamentals of Database Systems, Addison-Wesley, 6th Edition, 2010.
Essential Reading / Recommended Reading
  1. Silberschatz, Korth, Sudarshan, Database System Concepts, 5 Edition, McGraw Hill, 2006.
  2. O`neil Patricand, O`neil Elizabeth, Database Principles, Programming and Performance, 2nd Edition, Margon Kaufmann Publishers Inc, 2008.
Evaluation Pattern

CIA-50%

ESE-50%

BCA351 - JAVA PROGRAMMING LAB (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course teaches students how to develop java applications. Course gives an overview of difference between C++ and Java. Students will be developing and testing java application as a practical course work.  The course introduces the concept of UI design in java using SWING and JAVAFX.

Course Outcome

CO1: Demonstrate their ability to understand the concepts of Object oriented programming and will model the real world applications using Object Oriented Programming concepts

CO2: Apply the concept of Multithreading in concurrent programming.

CO3: Able to Analyze & Design the concept of Event Handling and Swing

CO4: Build MVC and Custom Components using JSF

Unit-1
Teaching Hours:60
Lab Programs
 

1.      To implement different entry controlled and exit controlled looping statements

2.      To Implement nesting of switch statement

3.      To Implement single and multi-dimensional arrays

4.      To implement constructor overloading and method overloading

5.      To implement static keyword

6.      To Implement multilevel inheritance

7.      To implement super and this keyword

8.      To implement abstract and final keyword

9.      To implement methods of String class

10.  To Implement exception handling and custom exceptions

11.  To implement package and interface

12.  To implement File Stream classes

13.  To Implement multithreading

14.  To implement mouse and keyboard events

15.  To implement different layout managers

16.  To design a customer registration form using advanced swing components

17.  To implement 2D Shapes using JavaFX

18.  To implement CheckBox and ListView events using JavaFX

19.  To implement JavaFx Effects and Transformation

Text Books And Reference Books:

[1]   Schildt Herbert, Java :The Complete Reference, Tata McGraw- Hill, 10th Edition,2017

[2]   Dr.Rao,Nageswara ,Core Java,An Integrated Approach ,New Edition Kongent Solutions Inc, 2009. 2005.

 

Essential Reading / Recommended Reading

[1]   Java ™ A Beginner’s Guide, Herbert Schildt, McGraw-Hill Education, 7th Edition, 2017

Evaluation Pattern

CIA - 50%

ESE - 50%

BCA352 - DBMS LAB (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

The main objective of this lab is to provide a strong foundation in database concepts, understand and implement the use of Structured Query Language (SQL) and Procedural Structured Query Language (PL/SQL) to create and query databases.

Course Outcome

CO1: Design and implement a database schema for a given problem-domain using SQL-DDL commands.

CO2: Populate and query a database using SQL (DML/DCL) commands.

CO3: Declare and enforce integrity constraints on a database using a state-of-the-art RDBMS

CO4: Programming PL/SQL including stored procedures, stored functions, cursors, packages.

Unit-1
Teaching Hours:60
List of programs
 

1. Introduction TO SQL

a. Introduction

b. Logging on to SQL interface

c. Choosing and Describing Tables

d. Elements of the SQL Query

e. The System Dummy Table

f. Selecting Tables and Columns

g. Duplicate Information DISTINCT

h. Sorting Information

 

2. Data Definition Language (DDL)

a. Create

b. Drop

c. Alter

d. Rename

 

3. Integrity Constraints

a. Types of Constraint

b. Referential Integrity

c. Defining Constraints

 

4. Data Manipulation Language DML

a. Select

b. Insert

c. Update

d. Delete

 

5. Filtering Data Using Where

a. Where Operators

b. Where with Keywords

c. Where and Logical Operators

 

6. SQL Functions and Data types

a. Date and Time Functions

b. Numeric Functions

c. String Functions

d. Conversion Functions

 

7. Group By

a. Group Function Examples

b. Group Function with Having

 

8. Retrieving Data from Multiple Tables using Joins

a. Natural Join

b. Inner Join

c. Outer Join

 

9. Sub-Queries

a. Basic Subqueries

b. Multiple Column Subqueries

c. Subqueries with Having

d. Correlated Subqueries

 

10. Views

a. CREATE VIEW

b. WITH CHECK OPTION

 

11. Indexes

a. Create Index

b. Unique Option

c. When and What to Index

d. Drop Index

 

12. Data Control Language (DCL)

a. Grant

b. Revoke

 

13. Transaction Control Language

a. Commit

b. Rollback

c. Savepoint

d. Set Transaction

 

14. PL/SQL

a. Variables and type declarations

b. Loop structure

c. Procedures and Functions

d. PL/SQL Blocks

e. Cursor/ Cursor loops

f. Exceptions

 
Text Books And Reference Books:

Vikram Vaswani, MySQL(TM): The Complete Reference, McGraw Hill, The Paperback edition,2017.

 

Essential Reading / Recommended Reading

James R Groff, Paul N. Weinberg and Andy Oppel, SQL The Complete Reference3rd Edition, McGraw Hill,2011.

 

 

Evaluation Pattern

ESE - 50%

CIA - 50%

BCA361A - GERMAN (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

German is a Generic elective for the students of the BCA Program. The book, Netzwerk A1 that conforms to the Common European Framework of Reference is a method that introduces students to the culture and language of the German-speaking world. Meant for adult beginners, it begins with the basics and quickly plunges learners to interact in everyday situations.

Course Objectives

·                   To develop the four basic skills -listening, speaking, reading, and writing,

              required in the acquisition of a language

·                    To develop an awareness about the German culture

        To be able to interact with German people in everyday situations

 

Course Outcome

 

 Upon completion of the course the student -

·       Will have a fair acquisition of the basic skills of listening, speaking, reading and writing

·       Will be quite familiar with the German culture

·       Will be able to carry out simple day to day conversations in German

Unit-1
Teaching Hours:6
Kapital 01
 

1.     First and Last Names of German Families

2.     Numbers and Alphabets

Unit-2
Teaching Hours:9
Kapital 1- Guten Tag
 

1.     Greetings- Usage of “du” and “Sie”

2.     Say where you are from and where you live.

3.     Formal and Informal Introduction

Unit-3
Teaching Hours:9
Kapital 2 - Freunde, Kollegen und ich
 

1.   The German and sports- Speak about Hobbies

2.    Weekday activities, Months and Years and  Seasons

3.  The – definite article and yes or no questions 

Unit-4
Teaching Hours:9
Kapital 3 - In der Stadt
 

1.   Talk about Places and Buildings

2   Definite Article and indefinite Article

3  Events in Hamburg

Unit-5
Teaching Hours:9
Kapital 4 - Guten Appetit
 

1.     Talk about food    

2.     Learn to make sentences with Objects

3.     Talk about shopping and conversation relating to food

Unit-6
Teaching Hours:9
Kapital 5 - Tag fur Tag
 

1.     Understand time

2.     Talk about activities relating to time and days

3.     Learn Possessive article.

Unit-7
Teaching Hours:9
Kapital -6 Zeit mit Freunden
 

1.     Planning a Birthday party with friends

2.     Writing an Invitation and talk about Birthday parties

3.     Order and pay in Restaurants

Text Books And Reference Books:

 

 Netzwerk A1

 

Essential Reading / Recommended Reading

1.       www.klett-sprachen.de/netzwerk A1 

          The Miracle of Bern: A young boy from a working class family in post-war Germany struggles with his estranged father returning from war captivity, while a friend of his plays for the German National Soccer Team at the… 

        

Evaluation Pattern

Assessment Pattern

CIA (Weight)

ESE (Weight)

CIA 1 – Assignments

10%

 

CIA 2 –Mid Sem Exam

25%

 

CIA 3 – Quiz / Role Play / Creative projects 

10%

 

Attendance

05%

 

End Sem Exam

 

50%

Total

50%

50%

BCA361B - FRENCH (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

French is taught as a Generic elective for the students of the BCA Program. The book, Alter Ego+ A1 which conforms to the Common European Framework of Reference is a method that introduces students to the culture and language of the French-speaking world. Meant for adult beginners, it begins with the basics and quickly plunges learners to interact in everyday situations.

Course Objectives

·       To develop the four basic skills -listening, speaking, reading, and writing, required in the acquisition of a language

·       To develop an awareness about the French culture

To be able to interact with French people in everyday situations

Course Outcome

Upon completion of the course the student -

·       Will have a fair acquisition of the basic skills of listening, speaking, reading and writing

·       Will be quite familiar with the French culture

Will be able to carry out simple day to day conversations in French

Unit-1
Teaching Hours:6
Discovery
 

1.     First and Last Names of French Families

2.     Few French and International personalities

Unit-2
Teaching Hours:9
The ones, the others
 

1.     Greetings- Usage of “tu” and “vous”

2.     Telephone Numbers in France

3.     Some cultural / festive events in Paris- The Francophone

Unit-3
Teaching Hours:9
Here, elsewhere
 

1.     Pontoise and Ile de France- The City

2.     Annecy- Youth hostel and accommodation

3.     The wording of address in France- postal codes and departments

Unit-4
Teaching Hours:9
Tell me who you are
 

1.     The French and sports- The Reality shows

2.     New ways of meeting- The Differences men/ women

3.     Surnames of married women/ children- Announcements and family functions

Unit-5
Teaching Hours:9
Each person at his own pace
 

1.     Rhythm of Life and Rhythm of the city- Internet and media in daily life

2.     The Outings

3.     Family life and Household chores- Routine and change in rhythm

Unit-6
Teaching Hours:9
Highlights
 

1.     Festivals and rituals in France

2.     Telephone conversations- Social network- Guide and Forum of Travel

3.     People magazines and the life of celebrities.

 

Unit-7
Teaching Hours:9
Travels, Trips
 

1.     Montreal- the seasons, the weather

2.     Overseas France and the Reunion

3.     Brussels, European capital

Text Books And Reference Books:

Berthet, Annie, Catherine Hugot et al. Alter Ego + A1. Paris : Hachette, 2012

Essential Reading / Recommended Reading

1.     French websites like Bonjour de France, Fluent U French, Learn French Lab, Point du FLE etc.

Evaluation Pattern

Assessment Pattern

CIA (Weight)

ESE (Weight)

CIA 1 – Assignments

10%

 

CIA 2 –Mid Sem Exam

25%

 

CIA 3 – Quiz / Role Play / Creative projects 

10%

 

Attendance

05%

 

End Sem Exam

 

50%

Total

50%

50%

BCA431 - GRAPH THEORY (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course description: It is a fundamental course in Graph Theory involving some basic concepts like Classes of Graphs, Isomorphism, Connectivity, spanning trees and few standard graph algorithms.

Course objectives: This course will help the learner to

COBJ1: gain familiarity with fundamental concepts of Graph Theory

COBJ2: understand and apply knowledge to analyze and solve problems using models of Graph Theory

Course Outcome

CO1: enhance research, inquiry and analytical thinking abilities.

CO2: improve proof writing skills.

CO3: apply the basics of Graph Theory in solving practical problems.

Unit-1
Teaching Hours:15
Introduction to Graphs
 

Graphs and Graph Models, Graph Terminology and Special Types of Graphs, Representing Graphs and Graph Isomorphism, Connectivity.

Unit-2
Teaching Hours:15
Algorithmic Graph Theory
 

Euler and Hamilton Paths, Shortest-Path Problems, Planar Graphs, Graph Coloring

Unit-3
Teaching Hours:15
Trees
 

Introduction to Trees, Applications of Trees, Tree Traversal, Spanning Trees, Minimum Spanning Trees

Text Books And Reference Books:

K. H. Rosen, Discrete Mathematics and its Applications, 7th ed., McGraw – Hill, 2012.

Essential Reading / Recommended Reading
  1. N Deo, Graph Theory with applications to engineering and computer science, Delhi: Prentice Hall of India, 1979.
  2. D.B. West, Introduction to Graph Theory, New Delhi: Prentice-Hall of India, 2011.
  3. J. P. Tremblay and R. Manohar, Discrete Mathematical Structures with Application to Computer Science, Reprint, India: Tata McGraw Hill Education, 2008.
  4. R.P. Grimaldi and B.V. Ramana, Discrete and Combinatorial Mathematics, An applied introduction, 5th ed., Pearson Education, 2007.
  5. D. S. Chandrasekharaiah, Discrete Mathematical Structures, 4th ed., India: PRISM Book Pvt. Ltd., 2012

 

 

Evaluation Pattern

EXAMINATION AND ASSESSMENTS

 

Component

Mode of Assessment

Parameters

Points

CIA I

Written Assignment

Class test(online)

Problem working

Mastery of the core concepts

10

CIA II

Mid-semester Examination

Basic, conceptual and analytical knowledge of the subject

25

CIA III

Written Assignment

Class test, Quiz (Online),

Problem working in class

Mastery of the core concepts

10

Attendance

Attendance

Regularity and Punctuality

05

ESE

 

Basic, conceptual and analytical knowledge of the subject

50

Total

100

 

BCA432 - FINANCIAL MANAGEMENT (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The main objective of this paper is to bring them knowledge about the basics of finance. It also intends to provide various forms of techniques to make decision about long-term investment. Various forms of financial statement analysis like ratios, fund flow and cash flow statement also included to make them know about the tools of financial performance analysis.

Course Outcome

CO1:: Understand the process and methods of evaluating a long term project using capital budgeting techniques and appreciate the risks and benefits involved.

CO2:: Familiar with the Management concepts and the tools in Management Accounting.

CO3:: Demonstrate the knowledge of financial statements and their analysis and interpretations.

Unit-1
Teaching Hours:3
Financial Management
 

Introduction, Definition, Objectives of Financial Management-Profit Vs Wealth Maximization, Functional areas of Financial Management.Time Value of Money- Compounding and discounting techniques, Financial Markets- Theory. 

Unit-2
Teaching Hours:10
Capital Budgeting
 

Meaning, Importance, Process of Capital Budgeting. Payback Period, Accounting Rate of return, Net Present Value, Profitability Index, Internal Rate of Return, Capital Rationing.

Unit-3
Teaching Hours:12
Financial Statement Analysis and its Interpretation
 

Meaning and nature of financial statements-Significance of financial statements-Types of financial statements-Limitations of financial statements-Steps involved in financial statement analysis-Tools of financial analysis – Comparative Statements, Common size statements , Trend Analysis –practical problems

Unit-4
Teaching Hours:10
Financial Statement Analysis and its Interpretation: Ratio Analysis
 

Meaning, Types and Uses, Ratio Analysis-Meaning, Importance, Limitations, Types- Liquidity, Solvency, Activity and Profitability Ratios.

Unit-5
Teaching Hours:10
Cash Flow
 

Cash Flow- Meaning of cash, differences between funds flow and cash flow, Preparation of cash flow statement- Operating, Investing and Financing activities.

Text Books And Reference Books:

[1] Shashi K Gupta .R.K.Sharma and Neeti Gupta.Financial Management.Kalyani Publishers, 2 nd Revised Edition, 2008, Reprint 2010.

[2] M. N. Arora. Management Accounting, Himalaya Publication, 4 th Edition, 2010 

Essential Reading / Recommended Reading

[1]    M.Y. Khan & V.K. Jain. Financial Management.Tata McGraw Hill, 6 th Edition, 2011.

[2]    R K Sharma , Shashi K Gupta. Practical Problems in Management Accounting, 5 th Edition , 2011

Evaluation Pattern

CIA-50%

ESE-50%

BCA433 - DESIGN AND ANALYSIS OF ALGORITHMS (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Objectives          

To demonstrate the different ways to analyze and evaluate the performance of an algorithm.

To apply different design techniques of algorithms to solve problems.

Course Outcome

CO1: Demonstrate their ability to apply appropriate Data Structures.

CO2: Design and develop algorithms using relevant data structure operations

CO3: Design and develop algorithms using relevant data structure operations

UNIT 1
Teaching Hours:10
INTRODUCTION
 

A simple example of design using insertion sort, pseudo code for insertion sort and analysis of time complexity. Performance Analysis - Space complexity and Time complexity (posteriori testing, and a priori approach), Asymptotic Notations (O, Ω, Θ).Polynomial Vs. Exponential Algorithms. Average, Best and Worst case complexity.

UNIT 2
Teaching Hours:12
DIVIDE AND CONQUER ALGORITHMS
 

Introduction to Divide and Conquer Algorithms - Finding the Maximum and Minimum, Quick sort (Derivation of Average case analysis and Worst case analysis), Binary Search (Derivation of Average case analysis), and Strassen's Matrix Multiplication.

UNIT 3
Teaching Hours:12
GREEDY ALGORITHMS
 

Introduction to Greedy Algorithms - Fractional Knapsack problem, minimum cost spanning trees, Kruskal's and Prim's Algorithms, Optimal Merge patterns and Single-Source Shortest Paths

UNIT 4
Teaching Hours:8
DYNAMIC PROGRAMMING
 

Definition - All-pairs shortest paths, Traveling salesman problem, optimal parameterization for product of sequence of matrices and Multistage graphs

UNIT 5
Teaching Hours:10
BACK TRACKING AND RANDOMIZED ALGORITHMS
 

Introduction - N-Queens, Sum of Subsets, Graph coloring, Hamiltonian Cycles problem using Back tracking algorithms. Random Number Generators and Primality Testing using randomized algorithms

UNIT 6
Teaching Hours:8
GRAPHS AND HEAPS AND LOWER BOUND THEORY
 

Definitions - Adjacency Matrix, Adjacency Lists .Breadth First Search and Traversal, Depth First Search and Traversal. Priority Queues using Heap and Design of Heap sort using Heap.

Text Books And Reference Books:

[1] Horowitz, Sahni, Rajasekaran, Fundamentals of Computer Algorithms,Silicon Pr, 2nd Edition, November 2012

Essential Reading / Recommended Reading
  1. Donald E. Knuth, The Art of Computer Programming Volume 3, Sorting and Searching, 2nd Edition, Pearson Education, Addison-Wesley, 1997.
  2. GAV PAI, Data structures and Algorithms, Tata McGraw Hill, Jan 2008.
Evaluation Pattern

CIA (Weightage)

ESE (Weightage)

50%

50%

BCA434 - SOFTWARE ENGINEERING (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course is an introduction to software development process and design. It includes  the descriptions about stages of software development, various process models and software engineering principles.

Course Outcome

CO1:: Understand the importance of the stages in the software life cycle.

CO2:: Understand the various process models.

CO3:: Understand the UML notation.

CO4: : Be able to design software by applying the software engineering principles.

Unit-1
Teaching Hours:10
Software and Software Engineering
 

Nature of software- Defining software, Software Application Domains, Legacy Software - Software Engineering, The software process, Software Engineering practice – The essence of Practice, General Principles - Software Myths.

Unit-1
Teaching Hours:10
Process models
 

A generic process model – Defining a framework activity, identifying a Task Set, Process Patterns - Process Assessment and improvement, Prescriptive Process Models – The waterfall Model, Incremental Model, Evolutionary Process Model, Concurrent Models- A Final Word on Evolutionary Processes.

Unit-2
Teaching Hours:10
Requirement Modelling
 

Requirement Analysis, Data modelling concepts, Class-based modelling, Requirement modelling strategies, Flow oriented modeling.

Unit-2
Teaching Hours:10
Understanding Requirements
 

Requirements Engineering, Establishing the groundwork – Identifying Stakeholders, Recognizing multiple viewpoints, Working toward Collaboration, Asking the first questions-, Eliciting requirements – Collaborative requirement gathering, Quality function Deployment, Usage Scenario Elicitation Work Products - Developing use cases, building the requirements model – Elements of the requirements Model, Analysis pattern - Negotiating requirements, validating requirements.

Unit-3
Teaching Hours:10
Design Concepts
 

The design within the context of Software Engineering, The design process – Software quality guidelines and attributes, The evolution of software design - Design concepts – Abstraction, Architecture, Patterns, Separation of concerns, Modularity, information hiding, Functional Independence, refinement, Aspects, Refactoring, Object Oriented design concepts Design classes - The design Model – Data Design elements, Architectural Design elements, Interface Design Elements, Component-Level Design elements, Deployment level Design elements.

Unit-3
Teaching Hours:10
User Interface Design
 

The golden rules- Place the User in Control, Reduce the User's Memory load, Make the interface Consistent-, Interface Analysis and Design models, The Process, Interface Analysis User Analysis, Task Analysis, Analysis of Display Content, Analysis of the Work Environment - Interface design steps – Applying Interface Design steps, User Interface design patterns, Design Issues.

Unit-4
Teaching Hours:10
Quality Management
 

Introduction, Software quality, Achieving software quality, Review metrics and their use, Informal reviews, Formal technical reviews, SQA tasks, Goals and metrics, Formal approaches to SQA, Statistical Software quality assurance, Software Reliability, SQA plan. 

Unit-5
Teaching Hours:10
Software Testing
 

A Strategic approach to testing, Test strategies for conventional software, Test strategies for Object Oriented software, Validation testing, White-box testing, Basic path testing, control structure testing, Black-box testing, Object oriented testing methods.

Unit-6
Teaching Hours:10
Project Management concepts
 

The management spectrum, Metrics in the process and project domains, software measurement, metrics for software quality, The project planning process, Software project estimation, Decomposition techniques, Empirical estimation models, Project scheduling, Risk identification, Risk projection, The RMMM plan. 

Text Books And Reference Books:

[1] Pressman S Roger, Software Engineering A Practitioner‟s Approach, McGraw Hill, International Editions, 7th edition, 2010.

Essential Reading / Recommended Reading

[1] Sommerville, Ian, Software Engineering, Addison Wesley, 9th Edition, 2010.

[2] Rumbaugh, James, Object Oriented Modeling and design, Pearson Education, New Delhi, 2005.

Evaluation Pattern
CIA 

 

50%
ESE 50%

BCA435 - WEB TECHNOLOGY (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:04

Course Objectives/Course Description

 

This subject will provide basic understanding of WWW, Web Development, Client side and Server side technologies to develop and deploy Websites on Internet.

Course Outcome

CO1: Understand the concepts of Internet basics to design, implement and maintain a typical web page

CO2: Develop and incorporate dynamic capabilities in Web pages using DOM and JavaScript

CO3: Learn the importance of server-side scripts for web Interactivity and Web Hosting

Unit-1
Teaching Hours:10
WEB ESSENTIALS AND STYLE SHEETS
 

Clients, Servers, and Communication. The Internet - Basic Internet Protocols  -The  World Wide Web - HTTP request message - response message - Web Clients - Web  Servers  - Markup Languages: XHTML. An Introduction to HTML –  History  –Versions  -Basic  XHTML Syntax and Semantics - Fundamentals of HTML.

CSS - Introduction to Cascading Style Sheets – Features - Core Syntax - Style Sheets and HTML - Cascading and Inheritance - Text Properties – Positioning.

Unit-2
Teaching Hours:10
CLIENT-SIDE PROGRAMMING
 

Introduction to JavaScript – Functions – Objects – Arrays – Built - in Objects - JavaScript Debuggers. Browsers and the DOM - Introduction to the Document Object Model DOM History and Levels - Intrinsic Event Handling - Modifying Element Style  - The Document  Tree -DOM Event Handling.

Unit-3
Teaching Hours:10
SERVER-SIDE PROGRAMMING
 

Introduction to PHP - Basic Programming Concepts of PHP: Variables - Data-types - Constants - Scope of Variables - Type of Variables - Type Casting – Operators - Operators Precedence – References – Arrays - Control Structures: Branching -If statement - Switch statement - Looping: for Loop - while Loop - do while Loop - for each Loop -Functions: User Defined Functions - Built-in Function - Functions for Variables - Script Controlling Functions - Array Functions - Date and Time Functions -Mathematical Functions -String Functions - PHP Server Variables; Working with form - Uploading files to Web Server using PHP.

Unit-4
Teaching Hours:12
PHP and MySQL
 

Basic commands with PHP examples - Connection to server - creating database - selecting a database - listing database - listing table names - creating a table, -inserting data - altering  tables – queries -deleting database -deleting data and tables -PHP  myadmin  and  database bugs.

Unit-5
Teaching Hours:8
XML
 

Documents and Vocabularies - Versions and Declaration -Namespaces JavaScript and XML: Ajax-DOM based XML processing. Selecting XML Data: XPATH - Template based Transformations: XSLT - Displaying XML Documents in Browsers.

Unit-6
Teaching Hours:10
JSF and JAVA Web Services
 

Introduction – Java Web Technologies – Creating and running simple application- JSF components -Session Tracking.

Basics- Creating, Publishing and Consuming Web Services - Session Tracking in Web Services.

Text Books And Reference Books:

 

1.Web Technologies-A Computer Science Perspective, Jeffrey C.Jackson,  Pearson Education, 2008.

2. Internet & World Wide Web - How To Program, H.M.Deitel, P.J. Deitel , et.al , Pearson Education, Fifth Edition, 2012.

 

Essential Reading / Recommended Reading

1.   Programming the World Wide Web, Robert. W. Sebesta, Pearson Education,  Fourth  edition, 2007. 

2.  Web Technologies Uttam K Roy, Oxford University Press, 2011.

3.  Web Programming: Desktop Management, Aferganatel, PHI, 2004.

4.  Web Technology, Rajkamal, Tata McGraw-Hill, 2001.

Evaluation Pattern

CIA:50%

ESE:50%

BCA451 - .NET LAB (2020 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

 

The course introduces the concepts of converting the real time problems into an interactive window based application to attain a solution.

Course Outcome

CO1: Demonstrate the skills in designing an interactive Graphical User Interface using a windows based application.

CO2: Design and develop an application using fundamentals of object-oriented programming concepts.

CO3: Build an application using different controls available in windows form application and convert it to an exe file.

Unit-1
Teaching Hours:60
List of Programs
 

1. Introduction to windows form application design

(Tool box, Property window,Solution Explorer,Server Explorer) Properties associated with each control

 

2. Introduction to common controls Part I and their properties 

Text boxes

Rich Text Box 

Label

Link label 

Button 

Panel

Event associated with each of the control 

Changing the properties at runtime with C# code

 

3. Validating controls 

Numbers

Texts

Regular expression

 

4. Looping structures 

If structure in C# 

Switch case in C# 

While loop in C#

Do .. While loop in C# 

For loop in C#

 

5. Introduction to common controls Part II and their properties 

List Box

Combo box 

Check box 

Radio button 

Group Box

Events associated with each of the control

Changing the properties at runtime with C# code

 

6. Introduction to common controls Part III and their properties 

Date time picker 

Month Calendar 

Numeric Up Down

Events associated with each of the controls 

Changing properties at runtime using C# code

 

7. Introduction to common controls Part IV and their properties 

Progress bar

Tool Tip 

Picture box

Properties associated with each of the controls 

Changing properties at runtime using C# code

 

8. Introduction to Menus & Toolbars and their properties 

Menu  Strip

Status Strip 

Tool Strip

Events associated with each of the controls 

Changing properties at runtime using C# code

 

9. Introduction to Dialog control and their properties 

Font Dialog

Open File Dialog 

Save File Dialog

Events associated with each of the controls 

Changing properties at runtime using C# code

 

10. Introduction to database using SQL Server and their properties 

Creating a table

Introducing Primary Key 

Introducing Data types

Writing Queries in SQLServer (SELECT, UPDATE, DELETE, INSERT)

 

11.  Windows Form Interaction with database using INSERT, UPDATE Query 

Connecting form with database

Writing INSERT query in windows form to store data in the database

 

12.  Windows Form Interaction with database using SELECT, DELETE Query 

Connecting form with database

Writing SELECT query in windows form to store data in the database

 

13. Introduction to the control data grid. Retrieving data from the database to the grid control

 

14. Report generation

Generating reports using tools  available

 

15. Converting the application  to an exe file

Text Books And Reference Books:

-

Essential Reading / Recommended Reading

-

Evaluation Pattern

 

CIA (Weightage)

ESE (Weightage)

50%

50%



BCA481 - DBMS PROJECT (2020 Batch)

Total Teaching Hours for Semester:90
No of Lecture Hours/Week:6
Max Marks:150
Credits:3

Course Objectives/Course Description

 

The purpose of this course is to prov­­ide comprehensive understanding to develop web applications with database systems. Started with web programming using HTML, CSS, PHP and connect with database concepts DDL, DML andPL/SQL.

Course Outcome

CO1: Install, configure, and interact with a database management system

CO2: :Describe,defineandapplythedatabasecomponentstodatabasedesign

CO3: Analyze the design of a database schema and apply normalization techniques

CO4: Develop dynamic web pages to meet specified needs using HTML, PHP, CSS

Unit-1
Teaching Hours:90
Part1 and Part2
 

Part 1: Web Technology HTML

1)     Develop static pages usingHTML

(Using Heading elements, Text Elements, Logical Styles, Physical Styles, Ordered, Unordered and Definition list, Hyper Links, Image Link, Link to page containing Images and Videos, FileLink)

2)     HTML Page usingFrames.

(Navigation, Floating, Inline Frames , Frames to add Images and Videos)

CSS/ XSL /DTD

3)     Add a Cascading Style sheet for designing the webpage.

4)     Create any catalog and display it using CSS orXSL

5)     Document Type Definition (DTD) to validateXML

JavaScript / PHP

6)     Design a dynamic web page with validation usingJavaScript

7)     PHP program to perform File operations / RegularExpressions

8)       PHP program to sort the records which are stored in thedatabase

Data Connectivity and Web Services

9)     Install DBMS/ Configure DBConnectivity

10)JSF and Web ServicesConfigurations

 

 

Part 2: Database Management System Project

Text Books And Reference Books:

-

Essential Reading / Recommended Reading

-

Evaluation Pattern

CIA:50%

ESE:50%

BCA531 - PYTHON PROGRAMMING (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course covers the programming paradigms associated with python. It explores the object-oriented programming, Graphical programming aspects of python with help of

built-in modules. The objective of this course is to provide comprehensive knowledge of python programming paradigms

Course Outcome

CO1: Demonstrate the use of built-in objects of Python

CO2: Demonstrate significant experience with python program development environment

CO3: Implement GUI programming concepts

Unit-1
Teaching Hours:10
INTRODUCTION TO PYTHON DATA STRUCTURES
 

Underlying mechanism of Module Execution- Sequences, Mapping and Sets- Dictionaries- Functions - Lists and Mutability- Problem Solving Using Lists and Functions

Unit-2
Teaching Hours:10
OBJECT ORIENTED PROGRAMMING USING PYTHON AND REGULAR EXPRESSIONS
 

Classes: Classes and Instances-Inheritance—Polymorphism- Abstract classes-Exceptional Handling- Regular Expressions using “re” module.

Unit-3
Teaching Hours:10
GUI PROGRAMMING
 

Introduction-Tkiner module-Root window-Widgets-Button-Label-Message-Text-Menu- Listboxes-Spinbox-Creating tables

Unit-4
Teaching Hours:10
FILE HANDLING
 

Writing and Reading Binary Data, Writing and Parsing Text Files, Writing and Parsing XML Files.

Unit-5
Teaching Hours:10
INTRODUCTION TO WEB FRAMEWORK
 

Introduction-Web framework-creating model to add database service-python application shell-Django administration application-input-forms and models

Unit-6
Teaching Hours:10
USING NUMPY AND PANDAS
 

Computation on NumPy-Aggregations-Computation on Arrays-Comparisons, Masks and Boolean Arrays-Fancy Indexing-Sorting Arrays-Structured Data: NumPy’s Structured Array. Introduction to Pandas Objects-Data indexing and Selection-Operating on Data in Pandas-Handling Missing Data-Hierarchical Indexing

Text Books And Reference Books:

1 Zhang.Y ,An Introduction to Python and Computer Programming, Springer Publications,2016

Essential Reading / Recommended Reading

1. Wesely J.Chun,Core Python Application Programming ,Prentice Hall,third edition 2015.

2. T.R.Padmanabhan, Programming with Python,Springer Publications,2016

Evaluation Pattern

CIA 50%

ESE 50%

BCA532 - COMPUTER NETWORKS (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The goal of this course is to introduce the basics computer networks. Students will learn their fundamental layered structure, understand common offered layered services, examine protocols and algorithms used to operate the network.

Objectives of the course are

• To study about network components.

• To study about topologies and network models.

• To study about various network protocols, algorithms.

Course Outcome

CO1: Students will gain knowledge about networks, internal components and its functionality.

CO2: Learn the communication architecture and use of protocols

CO3: Student will be able to evaluate the networks communication and its performance

Unit-1
Teaching Hours:10
Physical Layer
 

Data communications : components – Network criteria – physical structures – network models – categories of networks –interconnection of networks – inter network Protocols and standards : protocols-standards-standards organizations- internet standards Network models: Layered tasks – OSI model – layers in the OSI model – TCP/IP protocol suite.

Unit-2
Teaching Hours:10
Digital Transmission, Analog Transmission and Transmission Media
 

Digital Transmission: Digital to digital conversion: Line coding – line coding schemes – block coding - analog to digital conversion – PCM - transmission modes: serial transmission – parallel transmission

Analog Transmission: Digital to analog conversion: FSK-ASK-PSK Analog to Analog conversion: Amplitude modulation – Frequency modulation – phase modulation Multiplexing: Frequency division multiplexing – Time division multiplexing

Transmission Media Guided media: Twisted pair cable – coaxial cable – fiber optic cable Unguided media: radio waves - micro waves – infrared.

Unit-3
Teaching Hours:10
Data Link Layer
 

Error correction and detection: Introduction- block coding-linear block cods-cyclic codes-checksum. Data link Control: protocols-simplest protocol- stop and wait protocol- stop and wait automatic repeat request-go back n automatic repeat requestselective repeat-automatic repeat request-piggybacking. MultipleAccess: Random access- Aloha-CSMA-CSMA/CD-CSMA/CA Controlled access: reservation, polling, token passing. Channelization: FDMA,TDMA, CDMA.

Unit-4
Teaching Hours:10
Wired LANs:
 

Wired LANs: Ethernet: IEEE standards, standard Ethernet- fast Ethernet. Wireless Lans: IEEE 802.11-arhitecture-MAC sublayer addressing mechanism, physical layer-Bluetooth: architecture-Bluetooth layers-radio layer-baseband layer-L2CAP-other upper layers. Network Layer: AddressingIPV4 addresses - IPV6 Addresses Internet Protocol: IPv4 –IPv6 Address mapping protocols: ARP – RARP. 

Unit-5
Teaching Hours:10
Routing protocols:
 

Routing protocols: Unicast routing protocols: distance vector routing, Link State routing Multicast Routing protocols Any two Transport Layer: Process to process delivery – UDP – TCP Congestion control and QOS:Data traffic – congestion – congestion control – quality of service – techniques to improve quality of service.

Unit-6
Teaching Hours:10
Application layer: & Network Security
 

Application layer: & Network Security :DNS: Name space – domain name space – distribution of name space Electronic mail Architecture – FILE transfer: FTP WWW and HTTP: Architecture – web documents – HTTP Network Security: Introduction - definitions – two categories - symmetric key cryptography – traditional ciphers – asymmetric key cryptography.

Text Books And Reference Books:

[1] Behrouz A Forouzan, Data communication and networking, McGraw-Hill, 5 th edition, 2012.

Essential Reading / Recommended Reading

[1] Andrew S Tanenbaum ,Computer Networks, PHI publications, 5 th edition, 2011.

Evaluation Pattern

Component

Marks

CIA I

20

Mid Semester Examination CIA II

50

CIA III

20

Attendance

10

End Semester Exam

100

Total (CIA + ESE)

200

BCA541A - MOBILE APPLICATIONS (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course focuses on developing applications for modern Smartphone operating systems. Most of the course is dedicated to Google's Android and Microsoft’s Windows. Rapid application development techniques are covered, as well as setup of the development environment, real-world testing, and deployment. The course provides a practical approach to Android mobile application development and theoretical knowledge about windows  application.  To make  students understand, how to develop and deploy an application to the  appmarket.

Course Outcome

CO1: Understand the basic concepts of Mobile application development

CO2: Design and develop user interfaces for the Android platforms

CO3: Apply Java programming concepts to Android application development

CO4: Demonstrate advanced Java programming competency by developing a maintainable and efficient cloud-based mobile application.

Unit-1
Teaching Hours:10
Introduction
 

Brief History of mobile technologies, Different mobile technologies, Introduction to Android, Get to know the required tools, Creating your first Android application, Anatomy of android Application. Understanding Activities, linking Activities using intents, fragments, calling Built-in Applications using Intents, Displaying Notifications

Unit-2
Teaching Hours:12
User Interface and Designing with views
 

Understanding the components of a screen, adapting to  display  orientation,  managing  changes to screen orientation, Utilizing the Action Bar, Creating the user Interface programmatically, Listening for UI Notifications. Using Basic Views, Using Picker views, Using List views to display lists, Understanding specializedfragments.

Designing User interface

 Designing User interface Designing by declaration, creating the opening screen,  using  alternate resources, implementing an about box, applying a theme, adding a menu, adding settings, debugging with log messages, debugging withdebugger.

Unit-3
Teaching Hours:12
Displaying with views,Data persistence
 

Using Image Views to display pictures, using menus with views, some additional views. Saving and loading user preferences, persisting DataFiles

Storing local Data

Reading/writing local data, Accessing the Internal File system, Accessing the SDcard.

Unit-4
Teaching Hours:10
Content Providers
 

Creating and using Databases. Sharing Data in Android, using content provider, creating your own content providers, using content providers.

Putting SQL to work

Introducing SQLite, In and Out of SQLite, Hello Database, Data Binding, using content provider, implementing content provider.

Preparing and Publishing

Preparing app for publishing, Deploying APK files, uploading in Market

Unit-5
Teaching Hours:8
Messaging, Location based services and Networking
 

SMS Messaging , Sending E-mail, Displaying Maps, Getting Location Data, Monitoring a Location.

Preparing and Publishing

Preparing app for publishing, Deploying APK files

Unit-6
Teaching Hours:8
Introduction to Windows Phone Programming
 

Vision and architecture - A different kind of phone - Windows phone architecture - Building and delivering apps - Getting started with “Hello World”

Text Books And Reference Books:

[1]  Wei-Meng Lee, Beginning android 4 application Development, John Wiley & sons, Inc, 2012.

[2]  Andrew Whitechapel, Sean McKenna, Windows Phone 8 Development Internals, Microsoft Press2013.

Essential Reading / Recommended Reading

[1]  Grant Allen, Beginning Android 4, Apress,2012.

[2]  Ed Burnette, Hello, Android: Introducing Google's Mobile Development Platform,Pragmatic. Bookshelf (2009), ISBN-13:978-1934356173.

[3]  Jerome (J.F) DiMarzio , Android - A programmer's Guide, TataMcgraw Hill ,2010, ISBN:9780071070591.

[4]  Charles Petzold, Programming Windows Phone, Microsoft Press,2010

Evaluation Pattern

CIA 50%

ESE 50%

BCA541B - GRAPHICS AND ANIMATION (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

To acquire knowledge in three dimensional modeling and animation using 3DS Max software and to render the animated scene effectively using light and material design. Objectives of the course are: To get a hands on graphic and animation application development. To understand the concept of 3D and 2D.

Course Outcome

CO1: Create objects using 3d modelling.

CO2: Add effects using light and material.

CO3: Create animated frames.

Unit-1
Teaching Hours:10
Getting to Know Autodesk 3ds Max
 

Introduction, getting started, touring the interface, working with objects, and viewing. Introducing Objects:Understanding standard primitives, modelling with modifiers, making clones, working with groups.

Unit-2
Teaching Hours:12
Creating Shapes with Splines
 

Drawing with splines, modifying a shape, outlining and extruding splines, combining and extruding primitive splines, creating a solid form with splines. Editing Meshes and Creating Complex Objects: Creating shapes with Boolean objects, tracing a sketch, editing meshes, create symmetric forms, smoothing meshes. Organizing and Editing Objects: Naming and renaming objects, organizing objects by layer, lofting an object.

Unit-3
Teaching Hours:10
Light and Shadow
 

Lighting your model, rendering a view, ambient light, adding shadow effects, playing in the shadows, using the light listener, using scene states. Enhancing Models with Materials: Understanding texture maps, adding materials to object, editing materials, using the standard material, assigning materials to parts of an object.

Unit-4
Teaching Hours:10
Using the Camera
 

Understanding the 3ds max camera,  setting up an  interior  view, creating an environment, using immersive environment for animation, using render type and elements, matching your scene to background image. Organizing Objects and Scene Management: Gaining access, arranging furniture, replacing objects, using the rendered framework window.

Unit-5
Teaching Hours:8
Understanding Animation
 

Understanding the world of video time, creating a quick study animation, understanding keyframes, increasing and editing keyframes, adding more frames, moving the camera target over time, controlling lights over time.

Unit-6
Teaching Hours:10
Rigging for animation
 

Creating Animations, Particles, and Dynamics: Rendering the animation, automating the output, rendering a shadow study, creating a walkthrough, animation file output option, using particle system. Creating parent child hierarchies, using the morpher modifier, assembling an articulated luminaire, understanding bones, understanding biped.

Text Books And Reference Books:

[1] J. Harper, Mastering Autodesk 3ds Max 2013. Sybex, 2012.

Essential Reading / Recommended Reading

[1] R. L. Derakhshani and D. Derakhshani, Autodesk 3ds Max Essential. Sybex, 2011.

[2] K. L. Murdock, 3ds Max 2012 Bible. Wiley, 2011.

 

[3] T. Mullen, Introducing Character Animation with Blender. Sybex, 2007.

 

Evaluation Pattern

CIA 50%

ESE 50%

 

BCA541C - BUSINESS INTELLIGENCE (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The fundamental objective of this course is for the student to develop knowledge and expertise on "how to select and/or develop, and deploy an information system. Analyze managerial decision situations to determine whether it is practical to support them with computer technology. It also provides an understanding of data organization, and examine the BI processes and techniques used in transforming data to knowledge and value.

Course Outcome

CO1: Understand the importance of BI development projects in a team environment

CO2: Apply the knowledge of data integration for better business decision

CO3: Analyse different data modelling techniques and use enterprise reporting

CO4: Demonstrate the impact of BI using data mining concepts

Unit-1
Teaching Hours:10
Introduction to Business Intelligence
 

Introduction to OLTP and OLAP, BI Definitions & Concepts, Business Applications of BI, BI Framework, Role of Data Warehousing in BI, BI Infrastructure Components – BI Process, BI Technology, BI Roles & Responsibilities.

Unit-2
Teaching Hours:10
Basics of Data Integration ETL
 

Concepts of data integration need and advantages of using data integration, introduction to common data integration approaches, introduction to ETL, Introduction to data quality, data profiling concepts and applications.

Unit-3
Teaching Hours:10
Introduction to Multi-Dimensional Data Modeling
 

Introduction to data and dimension modeling, multidimensional data model, ER Modeling vs. multi-dimensional modeling, concepts of dimensions, facts, cubes, attribute, hierarchies, star and snowflake schema, introduction to business metrics and KPIs, creating cubes using SSAS.

Unit-4
Teaching Hours:10
Basics of Enterprise Reporting
 

Introduction to enterprise reporting, concepts of dashboards, balanced scorecards, and overall architecture.

Unit-5
Teaching Hours:10
Data Mining Functionalities
 

Association rules mining, Mining Association rules from single level, multilevel transaction databases, Classification and prediction, Decision tree induction, Bayesian Classification, k-nearest neighbour classification, Cluster analysis, Types of data in clustering, categorization of clustering methods. 

Unit-6
Teaching Hours:10
Case Study
 

Case study on BI Business applications, OLTP Models, Data Models.

Text Books And Reference Books:

[1] Cindi Howson ,Successful Business Intelligence, Unlock the Value of BI & Big Data Hardcover –Second Edition: Import, 1 Nov 2013.

[2]Gert H.N. Laursen, JesperThorlund , Business Analytics for Managers: Taking Business Intelligence beyond Reporting Paperback , 26 Sep 2013

Essential Reading / Recommended Reading

-

Evaluation Pattern
CIA 50%
ESE

50%

BCA541D - MICROPROCESSOR AND ALP (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The course is an introduction to the 8085 microprocessor and programming. Student will have both theoretical and practical approach on 8085 microprocessors.  Objective of the course is to help students to understand the basics of  8085  microprocessor- based Systems and assembly languageprogramming.

Course Outcome

CO1: Identify the basic element and functions of 8085 microprocessors.

CO2: Describe the architecture of 8085 microprocessor.

CO3: Apply the programming techniques in developing the assembly language program.

Unit-1
Teaching Hours:8
Microprocessors
 

Introduction, Advances in semiconductor technology, Organization of microprocessor-based system, 8085 microprocessor.

Unit-2
Teaching Hours:10
The 8085 MPU architecture
 

8085 Bus organization, Demultiplexing the bus AD7-AD0, Generating control signals. ALU, Timing and control unit, Instruction register and decoder, Register array, Decoding and executing aninstruction.

Unit-3
Teaching Hours:10
8085 Machine cycles and bus timings
 

Opcode fetch machine cycle, Memory read machine  cycle,  Memory  write machine cycle, IO read machine cycle, IO Write machine cycle, Execution time of the instruction cycle.

Unit-4
Teaching Hours:12
Introduction to 8085 programming
 

Instructions, Data format and storage, Addressing modes, Instruction  classification  – Data transfer instructions, Arithmetic instructions, Logical instructions, Branching instructions, Machine control instructions, Assembly language programs Addition / Subtraction of 8 bit data, Interchanging a  block of data, Largest of  N numbers, Number of 1‘s& 0‘s in a 8-bit data, Look-uptable.

Unit-5
Teaching Hours:12
8085 programming techniques
 

Counters and time delays, Time delay using  single  register  and  register  pair,  Stack  and subroutines, Call and return instructions, Advanced subroutine concept. Assembly language program Hexadecimal counter, Sum of odd and even numbers , Hex to BCD conversion.

Unit-6
Teaching Hours:8
Interrupts
 

Introduction – INTR, TRAP, RST 7.5, 6.5, 5.5, RST n instruction, SIM and RIM instructions.

Text Books And Reference Books:

[1]  Ramesh.S.Goankar ―Microprocessor Architecture, Programming & Applications With 8085‖ - 5th Edition –ISBN 81-87972-09-2,Penram International– 2011.

Essential Reading / Recommended Reading

[1]  Soumitra Kumar Mandal, ―Microprocessors and MicrocontrollersArchitecture, Programming and Interfacing using 8085, 8086 and 8051‖, 1st Ed. TMH, 2011, ISBN- 9780071329200.

          [2]  Krishna Kant, ―Microprocessors And Microcontrollers: Architecture Programming and System Design 8085, 8086, 8051,8096‖, PHI Learning Pvt. Ltd., 2010.

[3]  M.Rafiquzzaman ―Microprocessors-Theory and Applications‖, Edition PHI, 2009.

          [4]  D.V.Hall ―Microprocessor and Digital System‖, McGraw Hill Publishing Company,2008.

Evaluation Pattern

            CIA: 50

            ESE: 50

BCA541E - DIGITAL IMAGE PROCESSING (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Learn the concepts of basic image processing techniques which includes preprocessing, segmentation and object recognition

Course Outcome

CO1: Comprehend the knowledge of image processing techniques.

CO2: Analyze image processing techniques in spatial domain.

CO3: Design algorithms to solve classification and compression techniques

Unit-1
Teaching Hours:12
Fundamentals of Image Processing
 

The origins of Digital Image Processing, Elements of Digital Image Processing System. Image Sampling and Quantization, Basic relationships: Neighbors, Connectivity, Distance Measures between pixels, Linear and Non Linear Operations.

Unit-2
Teaching Hours:12
Image Enhancement Techniques
 

Gray  Level  Transformations,  Histogram  Processing,Histogramequalization.       Basics of Spatial Filters, Smoothening and Sharpening SpatialFilters.

Unit-3
Teaching Hours:12
Image Compression and Image restoration techniques
 

Huffman coding and Run Length encoding and decoding techniques. A model of the Image Degradation/ Restoration Process, Noise Models, Restoration in the presence of Noise.

Unit-4
Teaching Hours:12
Image Segmentation
 

Region Based Segmentation – Region Growing and Region Splitting and Merging. Representation – Chain codes. Point, Line and Edge detection. Thresholding – Global thresholding

Unit-5
Teaching Hours:12
Object recognition
 

Introduction to Patterns and Pattern Classes. Minimum distance classifier, K-NN classifier and Bayes. Boundary descriptors –Regional and Topological descriptors

Text Books And Reference Books:

[1]  R.C.Gonzalez & R.E.Woods, Digital Image Processing, 3rd Edition. Pearson Education, 2009.

[2]  A.K. Jain, Fundamental of Digital Image Processing, 4th Edition. PHI, 2011.

Essential Reading / Recommended Reading

[1]  M. A. Joshi, Digital Image Processing: An algorithmic approach, 2nd Edition. PHI, 2009.

[2]  B.Chanda, D.Dutta Majumdar, Digital Image Processing and analysis, 1st Edition, PHI, 2011.

Evaluation Pattern

CIA weightage 50%

ESE weightage 50%

BCA542A - MULTIMEDIA APPLICATIONS (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Description

This course teaches students how to fully utilize the latest image editing tool and animation tool to create and manipulate images and animation. Students will learn to paint and retouch images, use layers, support video, work with vector tools, manage digital assets, work with RAW camera files, manage color, and prepare images for output to the web, Prepare 2D animation, interactive presentation, slideshows and Games and Enables the student to think creatively.

Course Outcome

CO1: Through with Design and color Concepts

CO2: Prepare Images for Print and Web, Create Layouts for web pages, Paper Adverts, CD covers, Posters, brochure Package Designing, take necessary steps to fix colour issues. Converting B/W photo to color.

CO3: Creating Interactive slide Shows, Interactive high graphic Presentations and 2D animation.

Unit-1
Teaching Hours:8
Concept of Graphics and Multimedia
 

Graphics,  Vector  Graphics,  Raster  Graphics,  Multimedia  Definition,  Applications  of Multimedia, Advantages of Multimedia, Different types of Medias -Text, Graphics, Image, Animation, Audio, Video, Special Effects, compositing, Morphing, Virtual Reality and its applications.

Color theory, typography and File formats- Color Theory, Color Modes, Concept of Digital Images ,Image compression, Different File formats BMP , JPEG , GIF , TIFF , PDF , PSD, WBMP …etc Image for Print and WEB Resolutions, Monitor Configurations, Graphic Card.

 

Unit-2
Teaching Hours:12
Getting to know the work area
 

Staring to work with Adobe Photoshop, Using tools, option bar and other panels, undoing actions in Photoshop, customizing the workspace, finding resources for using Photoshop. Strategy for retouching, resolution and Image size, straightening and cropping the image, replacing the colors in image, Brush tools and options, adjusting saturation using Sponge tool, repairing with Clone Stamp, spot healing brush tool, applying content-aware patch, unsharp mask, saving image for color printing. About selecting and selection tools, Quick selection tool, Moving selected area, manipulating selections, Magic wand, lasso tools, cropping and erasing with selection, saving and retrival of selection.

Unit-3
Teaching Hours:12
Correcting and Enhancing Digital Photographs
 

About layers, layers panel , Rearranging layers, applying gradient to a layer, applying a layer stylet, adding an adjustment layer, updating layer effects, adding a border, flattening and saving files.

About camera raw, processing files in camera raw, correcting digital photographs in photoshop, correcting image distortion, adding depth of field.

Working with Masks and channels, creating mask, refining mask, creating quick mask, puppet warp, working with channels. About Type, Creating clipping mask from type, creating type on a path, warping point type, designing paragraphs of type.

 

Unit-4
Teaching Hours:12
Advanced Compositing and Vector drawing techniques
 

Paths and Pen tool, paths with artwork, creating vector objects for background, working with defined custom shapes, importing smart objects, applying filters, hand-coloring selections on a layer, applying smart filters, drop shadow and a border, color schemes , automating multistep task, stitching panorama, finishing image for Print and web.

Editing Video, creating video projects, animating text with key frames, creating effects, transitions, adding and muting audio, rendering video.

Painting with mixer brush, Selecting brush settings, mixing colors, creating custom brush preset, mixing color with a photograph. Creating slices, exporting HTML and images, using zoomify feature, creating a web gallery. Preparing for PRINT – specifying color Management settings, proofing an image, identifying out-of-gamut colors, saving as CMYK EPS files, printing.

Unit-5
Teaching Hours:8
Introduction to Flash
 

Getting to know the workspace, working with library, understanding timeline, using property inspector, using panel, using tools panel, previewing your movie, modifying with content and stage, saving and publishing.

Working with Graphics-Understanding strokes and fills, creating shapes, making selections, editing shapes, using gradients and bitmap fills, making patters and decorations, creating curves, creating and editing text.

Creating and editing symbols-Importing illustrator files, about symbols, creating symbols, importing Photoshop files, editing and managing symbols, changing the size and position of instance, understanding blend effects, applying filters and special effects.

 

Unit-6
Teaching Hours:8
Adding Animation and Interactivity
 

About animation, understanding project file, animating position, changing the pacing and timing, All types of tweening, animating filters, animating transformations, swapping tween targets, nested animations, motion blur, easing, animating 3D motion, testing movie. Creating buttons, understanding action Script 3.0, preparing the timeline, adding stop action, creating event handlers for buttons, creating destination key frames, home button with code snippets, code snippets option, and animated buttons. Adding sound and video content to flash project , encoding video files , working with text tools , hyperlinks. Publishing flash documents, understanding publishing, publishing desktop application, publishing for a mobile device.

Text Books And Reference Books:

[1] Lisa DanaeDayley, Brad Dayley, “Adobe Photoshop CS6 Bible”, John Wiley & Sons, 2012.

 

[2] Adobe Flash Professional CS6, Adobe Classroom in a Book- The official training workbook from Adobe Systems, Adobe Press, 2012. 

 

Essential Reading / Recommended Reading

[1] Lesa Snider, “Photoshop CS6: The Missing Manual”, O’Reilly Media Inc, 1st Edition, 2012.

[2] Adobe Photoshop CS6, Adobe Classroom in a Book- The official training workbook from Adobe Systems, Adobe Press, 2012.

 [3] Chris Grover, “Flash CS6: The Missing Manual”, O’Reilly Media Inc, 1st Edition, 2012. 

 

 

Evaluation Pattern

CIA - 50%

ESE - 50%

BCA542B - OOAD USING UML (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The course provides instruction and practical experience focusing on the effective use of object-oriented methodology life cycle models and the judicious use of software modelling as applied to a software development process.

Course Outcome

CO1: Understand the object oriented life cycle.

CO2: Know how to identify classes, objects, relationships.

CO3: Learn the Object Oriented Design process.

CO4: Understand about software quality and usability.

CO5: Build model use case diagrams. 

Unit-1
Teaching Hours:12
Complexity
 

The inherent complexity of software, The Structure of complex systems, Bringing order to chaos, on designing complex systems, Categories of analysis and Design methods.

The Object Model

The evolution of object model, Elements of object model.

Unit-2
Teaching Hours:10
Classes and Objects
 

The Nature of an Object, Relationship among objects, nature of a class, Relationship among classes.

Unit-3
Teaching Hours:8
Introduction to Modeling and UML
 

Importance of modeling, principles of modeling, object oriented modeling, overview of UML conceptual model of the UML, Architecture.

Unit-4
Teaching Hours:10
Basic Structural Modeling
 

Common Mechanism: Terms and Concepts, Common modeling techniques. Diagrams, Class Diagrams.

Advanced Structural Modeling

Interfaces, Types and Roles, Packages, Object Diagrams.

Unit-5
Teaching Hours:10
Basic Behavioral Modeling
 

Interaction, Interaction diagram, Use case, Use case diagram.

Advanced BehavioralModeling

State Machines, State Diagrams.

Unit-6
Teaching Hours:10
Architectural Modeling
 

Deployment, Deployment Diagram, Collaboration

Case Study

Any application can be discussed with help of an open tool.

Text Books And Reference Books:

[1] Michael Blaha,JamesRumbaugh, Object Oriented Modeling and Design with UML, 2nd Edition, Pearson, 2010.

Essential Reading / Recommended Reading

[1] Grady Booch, Robert A.Makimchul,MichaelW.EagelJimConallen,Kelli A. Houston, Object Oriented Analysis and Design with Applications, 3rd Edition, Pearson Education Inc,2013.

[2] Grady Booch, James Rumbaugh, Ivar Jacobson, The Unified Modeling Language User Guide, 2nd Edition, Pearson Education Inc,2013.

Evaluation Pattern

CIA - 50%

ESE - 50%

BCA542C - CYBER SECURITY (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course aims to introduce the core fundamentals concepts of cyber security and privacy related to various processes related to IT sectors.

 

Course Outcome

CO1: Understand the core fundamentals of system security

CO2: Demonstrate the security essentials related to Cyber Security and encryption Concepts

CO3: Analyse the Issues related to Privacy and Storage security in different IT domains CO4: Apply and manage security essentials in IT Sector

Unit-1
Teaching Hours:10
SYSTEM SECURITY
 

Building a secure organization- A Cryptography primer- detecting system  Intrusion- Preventing system Intrusion- Fault tolerance and Resilience in  cloud  computing  environments- Security web applications, services and servers.

Unit-2
Teaching Hours:10
NETWORK SECURITY
 

 Internet Security - Botnet Problem- Intranet security- Local Area  Network  Security  -  Wireless Network Security - Wireless Sensor Network Security- Cellular Network Security- Optical Network Security- Optical wireless Security.

Unit-3
Teaching Hours:10
SECURITY MANAGEMENT
 

 Information security essentials for IT Managers- Security Management System  -  Policy Driven System Management- IT Security - Online Identity and User Management System - Intrusion and Detection and Prevention System.

Unit-4
Teaching Hours:10
CYBER SECURITY AND CRYPTOGRAPHY
 

 Cyber Forensics- Cyber Forensics and Incidence Response - Security e-Discovery - Network Forensics - Data Encryption- Satellite Encryption - Password based authenticated Key establishment Protocols.

Unit-5
Teaching Hours:10
PRIVACY AND STORAGE SECURITY
 

 Privacy on the Internet - Privacy Enhancing Technologies - Personal privacy Policies - Detection of Conflicts in security policies- privacy and security in environment monitoring systems. Storage Area Network Security - Storage Area Network Security Devices - Risk management - Physical Security Essentials.

Unit-6
Teaching Hours:10
CYBER SECURITY POLICY
 

Cyber Security Metrics – Security Management Goals – Counting Vulnerabilities – Security Frameworks – E Commerce Systems – Industrial Control Systems – Personal Mobile Devices – Security Policy Objectives – Guidance for Decision Makers – Tone at the Top – Policy as a Project – Cyber Security Management – Arriving at Goals – Cyber Security Documentation – The Catalog Approach – Catalog Format – Cyber Security Policy Taxonomy.

Text Books And Reference Books:

1. John R.Vacca, Computer and Information Security Handbook, Second  Edition,  Elsevier 2013.

2. Michael E. Whitman, Herbert J. Mattord, Principal of Information Security, Fourth Edition, Cengage Learning, 2012.

 

Essential Reading / Recommended Reading

1. Richard E.Smith, Elementary Information Security,  Second  Edition,  Jones  and Bartlett Learning, 2016

2. Jennifer L. Bayuk, J. Healey, P. Rohmeyer, Marcus Sachs, Jeffrey Schmidt, Joseph Weiss “Cyber Security Policy Guidebook” John Wiley & Sons 2012.

Evaluation Pattern

CIA: 50%

ESE: 50%

BCA542D - COMPUTER ARCHITECTURE (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The subject deals with basic model of a computer with the concepts on processor design in which data representation and instruction basics are discussed, the basics of  design  of an  ALU, the concepts of memory design including characteristics and features of different types  of memories are included. The objective of this course is to  study  computer  architecture design by examining architectural concepts with consideration of performance, usability, reliability, and power management etc. This course covers a number of issues involved in the design and utilization of high performance computingsystems.

Course Outcome

CO1: Understand how computer hardware has evolved to meet the needs of multiprocessing systems and explain and demonstrate the concept of top down approach.

CO2: Make a summary on basic operation and state the significant components in computer.

CO3: Explain and demonstrate the basic concept of computer organization and computer architecture.

Unit-1
Teaching Hours:9
Introduction
 

Basic Model of a Computer, Computer Components, Register transfer and Microoperations: Register Transfer Language ,Register Transfer , Bus and Memory Transfers, Arithmetic Microoperations , Logic Microoperations , Shift Microoperations ,  Arithmetic  Logic  and  ShiftUnit.

Unit-2
Teaching Hours:9
Basic computer organization and design
 

Instruction codes, Computer registers, Computer Instruction, Timing and control, Instruction cycle, Memory reference instructions, Input output and Interrupt, Design of basic computer, Design of Accumulator logic.

Unit-3
Teaching Hours:11
Central processing unit
 

Introduction, General Register Organization, Stacks organizations- Register stack, Memory stack, Reverse polish notation , Instruction formats- Three address

instruction, two address instruction, one address instruction, zero address instruction , Addressing modes, Data transfer and manipulation- Data transfer instructions, Data manipulation instructions. Program control.

Unit-4
Teaching Hours:11
Computer arithmetic
 

Introduction, Addition and Subtraction – Addition and subtraction  with  signed  magnitude data, addition and subtraction with signed 2‘s complement data, Multiplication Algorithms- Signed magnitude, Booth multiplication algorithm, array multiplier, Division Algorithms- signed magnitude algorithm, Decimal Arithmetic, Decimal Arithmetic Operation- Addition, Subtraction, Multiplication,Division.

Unit-5
Teaching Hours:10
Input output organization
 

Peripheral Device, Input Output Interface – I/O bus and interface modules , I/O  versus  memory bus, Asynchronous data transfer, Modes of transfer – programmed I/O , Interrupt initiated I/O, Priority Interrupt- Daisy chaining priority, parallel priority interrupt, Priority encoder,Interruptcycle,DirectMemoryAccess–DMAcontrollerandDMAtransfer.

Unit-6
Teaching Hours:10
Memory organization
 

Serial Access Memories, Access Methods, Memory Organization, Magnetic Surface  Recording, Magnetic Disk Memories, Optical Memories, Memory Systems, Multilevel Memories, General Characteristics, Virtual Memory, Locality of Reference, Address Translation, Base Addressing, Cache, Main Features, Cache Organization, Cache operation, AssociativeMemory.

Self Learning

Memory Technology , Random Access Memory , Organization, Semiconductor RAM, RAM Design, Memory Interleaving

Text Books And Reference Books:

[1] Mano M Morris, Computer System Architecture, PHI, 4th Edition, 2016.

Essential Reading / Recommended Reading

[1]  Stalling, Williams. Computer Organization and Architecture, 7th Edition,2010.

[2]   Hayes, John. P. Computer Architecture and Organization 3rd Edition, McGraw-Hill, International Editions,2011.

Evaluation Pattern

50% CIA + 50% ESE

BCA542E - SYSTEM SOFTWARE (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Thie main aim of the course is to learn about the system software, which is software designed to operate and control the computer hardware. Students will be learning different concepts of the system software, like compiler phases. Macro language and processors etc.

The objective of the course is

  • To provide basic knowledge of various components of the system software.
  • To analyze the actual processing of a computer program in an efficient way.

Course Outcome

CO1: Understand the fundamentals of various components of system software.

CO2: Analyze the design of various components of system software.

CO3: Apply code optimization and code generation techniques for efficient programming.

Unit-1
Teaching Hours:10
Introduction
 

System Software.Evolution of Components of a Programming System, General Machine Structure - Memory, Registers, Data and Instructions. Machine Language - No Looping, Address modification using instruction as Data and Index registers, Looping. Assembly Language Program using Literals and pseudo -ops.

Unit-2
Teaching Hours:10
Assembler
 

General design procedure, Design of Assembler- Statement of problem, Data Structures, Format of Databases, Algorithm 2-pass assembler in brief with flowchart.

Unit-3
Teaching Hours:10
Macro language and the macro processor
 

Macro instructions, Features of Macro facility , Macro instruction argument, Conditional Macro expansions, Macro call within Macro, Implementation

Unit-4
Teaching Hours:10
Loaders and linkers
 

Loader Schemes - Compile and Go Loader, General Loader scheme, Absolute Loaders, Subroutine Linkages, Relocating Loaders, Direct-Linking Loaders Binders, Linking loaders, Overlays, Dynamic Binders, Design of an Absolute Loader, Design of direct linking loader

Unit-5
Teaching Hours:8
Compilers
 

Statement of problem – Problem No1 - Recognizing basic elements, Problem No 2 - Recognizing syntactic units and interpreting meaning, Intermediate form , Problem no 3 – storage allocation, problem no 4 – code generation, General model of compiler, General model of compiler

Unit-6
Teaching Hours:12
Phases of compilers
 

Different phases- Lexical Phase, Syntax Phase, Interpretation Phase, Optimization Phase, Storage Assignment Phase, Code Generation Phase and ,Assembly phase. Passes of a Compiler with flow chart.

Text Books And Reference Books:

[1] Donovan, John J, Systems Programming, Tata McGraw-Hill, Reprint., 2010 .

Essential Reading / Recommended Reading

[1] D.M.Dhamdere, Introduction to System Software , McGraw-Hill Education, First Reprint,2011.

[2] Aho, Sethi&Ullman ,Compilers Principles, techniques and tools, Pearson Education, 2006.

Evaluation Pattern

Component

Marks

CIA I

20

Mid Semester Examination CIA II

50

CIA III

20

Attendance

10

End Semester Exam

100

Total (CIA + ESE)

200

BCA551 - PYTHON PROGRAMMING LAB (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Learn to program and programming paradigms brought in by Python with a focus on File Handling and Regular Expressions

Course Outcome

CO1: Able to walkthrough algorithm

CO2: Improve programming skills

CO3: Appreciate Python Programming Paradigm

CO4: Hands-on Regular Expression

CO5: Ability to Text Processing scripts

CO6: Write to file handling scripts

Unit-1
Teaching Hours:60
List of Lab Programs
 

1.                 Implement a sequentialsearch

2.                 Create a calculatorprogram

3.                 Explore stringfunctions

4.                 Implement Selection Sort

5.                 ImplementStack

6.                 Read and write into afile

7.                 Demonstrate usage of basic regularexpression

8.                 Demonstrate use of advanced regular expressions for datavalidation.

9.                 Demonstrate use ofList

10.             Demonstrate use ofDictionaries

11.             CreateCommaSeparateFiles(CSV),LoadCSVfilesintointernalDataStructure

12.               Write script to work like a SQL SELECT statement for internal Data Structure made in earlierexercise

13.                 Write script to work like a SQL Inner Join for an internal Data Structuremade in earlier exercise


14.                 Demonstrate Exceptions inPython

Text Books And Reference Books:

[1]. Mark Summerfield, Programming in Python 3 A Complete Introduction to the Python Language, Addison-Wesely Reprint 2011

Essential Reading / Recommended Reading

[1]. Allen    Downey,    Think    Python,    Version    2.0.17,    Green    Tea    Press,    Needham, Massachusetts,2012

Evaluation Pattern

CIA 50%

ESE 50%

BCA552A - MOBILE APPLICATIONS LAB (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

This course focuses on developing applications for modern Smartphone operating systems. Most of the course is dedicated to Google's Android and Microsoft‘s Windows. Rapid application development techniques are covered, as well as setup of the development environment, real-world testing, anddeployment.

       To provide a practical approach to Windows and Android mobile application development.

       To make students understand, how to develop and deploy an application to the app market.

Course Outcome

CO1: Understand the basic concepts of Mobile application development

CO2: Design and develop user interfaces for the Android platforms

CO3: Apply Java programming concepts to Android application development

CO4: Demonstrate advanced Java programming competency by developing a maintainable and efficient cloud-based mobile application.

Unit-1
Teaching Hours:60
List of Programs
 

1.  Creating “Hello world”Application.

2.  Creating an Application that displays message based on the screenorientation.

3.  Create an application that displays custom designed OpeningScreen.

4.  Play an audio, based on the userevent.

5.  Create an UI with allviews.

6.  Create menu inApplication.

7.  Read/ write the Localdata.

8.  Create / Read / Write data with database (SQLite).

9.  Create an application to sendSMS.

10.  Create an application to send ane-mail.

11.  Display Map based on the Current/givenlocation.

12.  Learn to deploy androidApplications.

Text Books And Reference Books:

[1]  Wei-Meng Lee, Beginning android 4 application Development, John Wiley & sons, Inc, 2012.

[2]  Andrew Whitechapel, Sean McKenna, Windows Phone 8 Development Internals, Microsoft Press2013.

Essential Reading / Recommended Reading

[1]  Grant Allen, Beginning Android 4, Apress,2012.

[2]  Ed Burnette, Hello, Android: Introducing Google's Mobile Development Platform,Pragmatic. Bookshelf (2009), ISBN-13:978-1934356173.

[3]  Jerome (J.F) DiMarzio , Android - A programmer's Guide, TataMcgraw Hill ,2010, ISBN:9780071070591.

[4]  Charles Petzold, Programming Windows Phone, Microsoft Press,2010

Evaluation Pattern

CIA 50%

ESE 50%

BCA552B - GRAPHICS AND ANIMATION LAB (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

To acquire knowledge in three dimensional modelling and animation using  3DS  Max  software and to render the animated scene effectively using light and material design.

Objectives of the course are

•         To design and develop 3D models for various objects

•         To understand various tools available in 3DS Max to construct/build 3D models

Course Outcome

CO1: Create real-time 3D objects using 3DS Max.

CO2: Add effects to objects using light and material.

CO3: Create animated frames.

Unit-1
Teaching Hours:60
List of programs
 

List of programs

1.  Modelling basic objects using standard primitives.

2.  Editing shapes with meshes.

3.  Transformations and filling of  images.

4.  Working with color palette and  layers.

5.  Enhancing objects with lights and shadow.

6.  Enhancing models with materials.

7.  Creation of images with special effects.

8.  Rendering a Scene with layers in the time line.

9.  Keyframe animation.

10.  Rendering the animation.

Text Books And Reference Books:

[1] J. Harper, Mastering Autodesk 3ds Max 2013. Sybex, 2012.

Essential Reading / Recommended Reading

[1] J. Harper, Mastering Autodesk 3ds Max 2013. Sybex, 2012.

 

Evaluation Pattern

CIA 50%

ESE 50%

BCA552C - BUSINESS INTELLIGENCE LAB (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Many organizations have a wealth of data residing in their databases, and generate additional valuable data that is often not captured. Business intelligence BI is the process of collecting and turning this resource into business value. This course will provide an understanding of data organization, and examine the BI processes and techniques used in transforming data to knowledge and value. The fundamental objective of this course is for the student to develop knowledge and expertise on "how to select and/or develop, and deploy an information system. Analyze managerial decision situations to determine whether it is practical to support them with computer technology.  

Course Outcome

CO1: Work on BI development projects in a team environment.

CO2: Select and/or develop, and deploy successful business intelligence systems to assist managers in decision making.

CO3: Use data analysis techniques to make better business decisions.

CO4: Know when to use various data preparation and analysis techniques.

CO5: Know the strengths and weaknesses of various data mining tools and methods.

Unit-1
Teaching Hours:60
LIST OF PROGRAMS
 

1. Practice various data access methods. Representation formats: CSV, FLV, ARFF, XML.

2. Implement data conversion. eg. CSV2ARFF file format conversion in Java.

3. Configuring and testing the ETL tools.

4. Implement pipeline, sampling.

5. Implement surrogate keys.

6. Implement change in dimensions.

7. Practice data source views, dimensions, hierarchies.

8. Implement OLAP explorative data analysis with Pivot Tables.

9. Implement the metrics.

10. Implement Parent-child hierarchies. ROLAP and MOLAP.

11. Implement SQL reporting services.

12. Configuring and testing Weka API

13. Implement data mining preprocessing in Weka explorer and knowledge flow.

14. Implement classification in Weka explorer and knowledge flow.

15. Implement association rules in Weka.

Sample tools: SSIS, SSAS, SSRS, Excel, Weka, etc. 

Text Books And Reference Books:

[1]  Cindi Howson ,Successful Business Intelligence, Unlock the Value of BI & Big Data Hardcover –Second Edition: Import, 1 Nov2013.

[2]Gert H.N. Laursen, JesperThorlund , Business Analytics for Managers: Taking Business Intelligence beyond Reporting Paperback , 26 Sep2013

Essential Reading / Recommended Reading

[1]  Cindi Howson ,Successful Business Intelligence, Unlock the Value of BI & Big Data Hardcover –Second Edition: Import, 1 Nov2013.

[2]Gert H.N. Laursen, JesperThorlund , Business Analytics for Managers: Taking Business Intelligence beyond Reporting Paperback , 26 Sep2013

Evaluation Pattern

CIA - 50%

ESE - 50%

BCA552D - MICROPROCESSOR AND ALP LAB (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Students are able to understand Assembly level language Programming.

Course Outcome

CO1: Students are able to write and execute Assembly level language Programs

Unit-1
Teaching Hours:60
Lab Programs
 

1. Program to add two 8-bit numbers.

2. Program to subtract two 8-bit numbers.

3. Program to add two multi byte binary number.

4. Program to add N one byte numbers.

5. Program to add two BCD numbers.

6. Program to implement multiplication by successive addition method.

7. Program to find square of decimal number using Look-up table.

8. Program to move data block with and without overlap.

9. Program to find the smallest of N numbers.

10. Program to perform linear search over a set of N numbers. Display FF and its position if

found otherwise 00.

11. Program to check the 4th bit a number is 0 or 1. Display FF if 1 otherwise display 00.

12. Program to find number of 1‘s and 0‘s in 8-bit number.

13. Program to find sum of ODD and EVEN numbers.

14. Program to sort an array.

15. Program to implement BINARY to BCD conversion using a subroutine.

16. Program to implement decimal up counter.

17. Program to implement real-time clock.

18. Program to display BCA.

Text Books And Reference Books:

Ramesh.S.Goankar ―Microprocessor Architecture, Programming & Applications With 8085‖ - 5th Edition –ISBN 81-87972-09-2,Penram International – 2011

Essential Reading / Recommended Reading

Soumitra Kumar Mandal, ―Microprocessors and Microcontrollers Architecture, Programming and Interfacing using 8085, 8086 and 8051‖, 1st Ed. TMH, 2011, ISBN-9780071329200.

Evaluation Pattern

CIA - 50%

ESE - 50%

BCA552E - DIGITAL IMAGE PROCESSING LAB (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Students are able to understand image types and image processing techniques.

 

Course Outcome

CO1: Students are able to write and implement various image processing programs

CO2: Analyze different filtering methods in Spatial domain.

Unit-1
Teaching Hours:60
List of programs
 

1.     Write a program to display frequency of each pixel occurring in a row of an image.

2.     Write a program to convert color images to Gray scale Images.

3.     Write a program to perform Rotation of images using different methods.

4.     Write a program to perform resizing of images using different methods.

5.     Write a program to implement Contrasts tretching

6.     Write a program to demonstrate smoothening of animage

7.     Write a program to perform non-linear filtering of animage(Median)

8.     Write a program to implement of Edge detection

9.     Write a program to extract the three color components in theimages

10.  Write a program to perform bit plane slicing.

Text Books And Reference Books:

Text Books And Reference Books

 

[1]  Cindi Howson ,Successful Business Intelligence, Unlock the Value of BI & Big Data Hardcover –Second Edition: Import, 1 Nov2013.

[2]Gert H.N. Laursen, JesperThorlund , Business Analytics for Managers: Taking Business Intelligence beyond Reporting Paperback , 26 Sep2013

Essential Reading / Recommended Reading

Essential Reading / Recommended Reading

    

[1]  Cindi Howson ,Successful Business Intelligence, Unlock the Value of BI & Big Data Hardcover –Second Edition: Import, 1 Nov 2013.

[2] Gert H.N. Laursen, JesperThorlund , Business Analytics for Managers: Taking Business Intelligence beyond Reporting Paperback , 26 Sep 2013

 

Evaluation Pattern

CIA weightage 50%

ESE weightage 50%

BCA581 - PROJECT-I (2019 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Student will develop a project based on their based on their field of interest and specialization papers which students are opted for.

Course Outcome

CO1: Students will successfully complete a project based on the knowledge gained from the semester I to V.

Unit-1
Teaching Hours:60
Project
 

S.No

Contents

TimeLine

Marks

1

Document Submission – CIA (60 Marks)

 

 

 

i) Synopsis

Week 1

5

 

ii) Software requirement specification

Week 3

10

 

iii) Database design

Week 6

10

 

iv) User Interface design

Week 7

10

 

v) Initial draft

Week 8 &

Week 13

10

 

vi) Final copy

Week 14

10

 

vii) Attendance

 

5

2

Project Diary – CIA (40 Marks)

 

 

 

Project Progress Tracking (PPT)* Week 6 to Week 13 (8*5=40)

Alternate week from Week 6

40

 

Total (CIA)

 

100

3

Project Presentation & Demonstration – ESE(100 Marks)

 

 

 

 

i)  Presentation  :  Analysis  and  Design (Guide, Internal Faculty, PeerEvaluation)

Immediate week after Theory

CIA1

 

20

 

ii) Presentation and Demo 1 (50% of the project to be completed)

[Guide and Alumni Evaluation]

Immediate week after Theory CIA2

 

40

 

 

iii) Presentation and Demo 2 [Guide and Internal Faculty from other cluster(PG/BSc) Evaluation]

Week 15/Last weekof

the semester

 

 

40

 

Total (ESE)

 

100

 

Text Books And Reference Books:

-

Essential Reading / Recommended Reading

-

Evaluation Pattern

ESE:50%

CIA:50%

BCA671 - MACHINE LEARNING (2019 Batch)

Total Teaching Hours for Semester:90
No of Lecture Hours/Week:6
Max Marks:150
Credits:5

Course Objectives/Course Description

 

       Machine learning is a discipline that focuses on algorithms which transform data  into actionable knowledge. This is an introductory course in machine learning to  provide  foundation to the core machine learning principles and   

       theirreal word applications.

The objective of this course is to provide introduction to the principles and applications of machine learning algorithms.

Course Outcome

CO1: Understand the basic principles of machine learning models.

CO2: Evaluate and prepare data for machine learning models.

CO3: Evaluate the performance of machine learning models

Unit-1
Teaching Hours:15
UNIT I
 

 

Origins of Machine Learning- Uses and abuses of machine learning- Machine learning successes - limits of machine learning - machine learning ethics-data storage – abstraction – generalization – evaluation - How machines learn- Machine Learning in practice – types of input data – types of machine learning algorithms – matching input data to algorithms Exploring and understanding data – exploring the structure of data – exploring numeric variables–exploringcategoricalvariables–exploringtherelationshipamongvariables

Lab Exercises

1.      Demonstrate data Exploration (NumericData)

2.      Demonstrate data Exploration (Categorical and NominalData)

Unit-2
Teaching Hours:15
UNIT 2
 

Lazy Learning – Classification using Nearest neighbor- Understanding nearest neighbor classification- measuring similarity with distance-choosing appropriate K, preparing data for use with KNN-Why is K-NN algorithmLazy

Probabilistic Learning – Classification using Naïve Bayes- Understanding  naïve  Bayes    basic concepts of Bayesian Methods-understanding probability -understanding joint  probability- The naïve Bayes algorithm-classification with naïve Bayes- The  Laplace  corrector, using numeric features for naïveBayes

Lab Exercises

1.      Demonstrate KNNclassification

2.      Demonstrate Naïve Bayesclassification

Unit-3
Teaching Hours:15
UNIT 3
 

Divide and conquer-classification using decision trees and rules-understanding decision trees

– the C5.0 algorithm - choosing the best split – pruning the decision tree - understanding classification rules – Separate and Conquer – The 1R algorithm – the RIPPER algorithm – Rules from decision tree – what makes trees and rulesgreedy

Lab Exercises

1.      Demonstrate classification using decisionTree

Unit-4
Teaching Hours:15
UNIT 4
 

 

Forecasting numeric data – regression methods – understanding regression – simple linear regression, ordinary least square estimation – correlations – multiplelinear regression

Black box methods – understanding neural networks – from biological to artificial neurons, activation functions-network topology-training neural network with backpropagation

Lab Exercises

1.      Demonstrate simple linearregression

Unit-5
Teaching Hours:15
UNIT 5
 

 

Finding groups of data – understanding clustering – clustering as machine  learning task –  using distance to update clusters – choosing appropriate number ofclusters

Lab Exercises

1.      Demonstrate dataclustering

Unit-6
Teaching Hours:15
UNIT 6
 

Evaluating model performance-working with classification and prediction data-closer look at confusion matrices-using confusion matrices to measure performance-beyond accuracy-other measures of performance-visualizing trade offs

Lab Exercises

1.      Demonstrate classification usingMLP

 

Text Books And Reference Books:

 

Brett Lantz, Machine Learning with R: Expert techniques for predictive modeling, 3rd Edition, Packt Publishing,2019

Essential Reading / Recommended Reading

 

1.  K. P. Murphy, Machine Learning: A Probabilistic Perspective. MIT Press,2012.

2.  P. Harrington, Machine Learning in Action. Manning Publications,2012

3.    C. M. Bishop, Pattern Recognition and Machine Learning. Springer,2016.


4.  S. Marsland, Machine Learning: An Algorithmic Perspective. 1st Ed. Chapman and Hall, 2009

Evaluation Pattern

 

CIA 50%

ESE 50%

 

BCA672A - CLOUD COMPUTING (2019 Batch)

Total Teaching Hours for Semester:90
No of Lecture Hours/Week:6
Max Marks:150
Credits:5

Course Objectives/Course Description

 

This course covers a series of  current cloud computing technologies,  including technologies for Infrastructure as a Service, Platform as a Service, Software as a Service, and Physical Systems as a Service. For different layers of the cloud technologies,  practical  solutions  such as Google, Amazon, Microsoft,SalesForce.com.

Course Outcome

CO1: Demonstrate the fundamental principles of distributed computing.

CO2: