CHRIST (Deemed to University), Bangalore

DEPARTMENT OF COMPUTER SCIENCE

School of Sciences

Syllabus for
Bachelor of Science (Computer Science, Mathematics, Statistics)
Academic Year  (2022)

 
1 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
AEN121 ADDITIONAL ENGLISH Ability Enhancement Compulsory Courses 3 3 100
CSC131 PROGRAMMING USING C AND DIGITAL COMPUTER FUNDAMENTALS Core Courses 4 4 100
CSC151 C PROGRAMMING LAB Core Courses 2 2 50
ENG121 ENGLISH - I Ability Enhancement Compulsory Courses 3 2 100
FRN121 FRENCH Ability Enhancement Compulsory Courses 3 3 100
HIN121 HINDI Ability Enhancement Compulsory Courses 3 3 100
KAN121 KANNADA Ability Enhancement Compulsory Courses 3 03 100
MAT131 DIFFERENTIAL CALCULUS Core Courses 4 4 100
MAT151 INTRODUCTION TO PYTHON PROGRAMMING-I Core Courses 2 2 50
SAN121 SANSKRIT Ability Enhancement Compulsory Courses 3 3 100
STA131 DESCRIPTIVE STATISTICS AND PROBABILITY Core Courses 4 4 100
STA151 DESCRIPTIVE STATISTICS AND PROBABILITY PRACTICAL Core Courses 2 2 50
TAM121 TAMIL Ability Enhancement Compulsory Courses 3 3 100
2 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
AEN221 ADDITIONAL ENGLISH Ability Enhancement Compulsory Courses 3 3 100
CSC231 DATA STRUCTURES AND OPERATING SYSTEMS Core Courses 4 4 100
CSC251 DATA STRUCTURES LAB Core Courses 2 2 50
ENG221 ENGLISH - II Ability Enhancement Compulsory Courses 3 2 100
FRN221 FRENCH Ability Enhancement Compulsory Courses 3 3 100
HIN221 HINDI Ability Enhancement Compulsory Courses 3 3 100
KAN221 KANNADA Ability Enhancement Compulsory Courses 3 03 100
MAT231 DIFFERENTIAL EQUATIONS Core Courses 4 4 100
MAT251 INTRODUCTION TO PYTHON PROGRAMMING-II Core Courses 2 2 50
SAN221 SANSKRIT Ability Enhancement Compulsory Courses 3 3 100
STA231 PROBABILITY DISTRIBUTIONS Core Courses 4 4 100
STA251 PROBABILITY DISTRIBUTIONS PRACTICAL Core Courses 2 2 50
STA271 R PROGRAMMING Core Courses 4 4 100
TAM221 TAMIL Ability Enhancement Compulsory Courses 3 3 100
3 Semester - 2021 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
AEN321 ADDITIONAL ENGLISH Ability Enhancement Compulsory Courses 3 3 100
CSC331 DATABASE MANAGEMENT SYSTEM AND SOFTWARE ENGINEERING Core Courses 4 4 100
CSC351 PYTHON PROGRAMMING LAB Core Courses 2 2 50
ENG321 ENGLISH-III Ability Enhancement Compulsory Courses 3 2 100
FRN321 FRENCH Ability Enhancement Compulsory Courses 3 3 100
HIN321 HINDI Ability Enhancement Compulsory Courses 3 3 100
KAN321 KANNADA Ability Enhancement Compulsory Courses 3 03 100
MAT331 REAL ANALYSIS Core Courses 4 4 100
MAT351 PYTHON PROGRAMMING FOR MATHEMATICS Core Courses 2 2 50
SAN321 SANSKRIT Ability Enhancement Compulsory Courses 3 3 100
STA331 STATISTICAL INFERENCE Core Courses 4 4 100
STA351 STATISTICAL INFERENCE PRACTICAL Core Courses 2 2 50
STA371 APPLIED EXCEL Core Courses 4 4 100
TAM321 TAMIL Ability Enhancement Compulsory Courses 3 3 100
4 Semester - 2021 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
AEN421 ADDITIONAL ENGLISH Ability Enhancement Compulsory Courses 3 3 100
CSC431 COMPUTER NETWORKS AND JAVA PROGRAMMING Core Courses 4 4 100
CSC451 JAVA PROGRAMMING LAB Core Courses 2 2 50
ENG421 ENGLISH-IV Ability Enhancement Compulsory Courses 3 2 100
FRN421 FRENCH Ability Enhancement Compulsory Courses 3 3 100
HIN421 HINDI Ability Enhancement Compulsory Courses 3 3 100
KAN421 KANNADA Ability Enhancement Compulsory Courses 3 03 100
MAT431 ALGEBRA Core Courses 4 4 100
MAT451 PYTHON PROGRAMMING FOR MATHEMATICAL MODELLING Core Courses 2 2 50
SAN421 SANSKRIT Ability Enhancement Compulsory Courses 3 3 100
STA431 ELEMENTS OF STOCHASTIC PROCESS Core Courses 4 4 100
STA451 ELEMENTS OF STOCHASTIC PROCESS PRACTICAL Core Courses 2 2 50
TAM421 TAMIL Ability Enhancement Compulsory Courses 3 3 100
5 Semester - 2020 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
CSC541A DATA ANALYTICS Discipline Specific Elective Courses 3 3 100
CSC541B INTERNET OF THINGS Discipline Specific Elective Courses 3 3 100
CSC541C DIGITAL IMAGE PROCESSING Discipline Specific Elective Courses 3 3 100
CSC541D BUSINESS INTELLIGENCE Discipline Specific Elective Courses 3 3 100
CSC542A UNIX OPERATING SYSTEM Discipline Specific Elective Courses 3 3 100
CSC542B WEB TECHNOLOGY Discipline Specific Elective Courses 3 3 100
CSC542C MOBILE APPLICATIONS Discipline Specific Elective Courses 3 3 100
CSC542D GRAPHICS AND ANIMATION Discipline Specific Elective Courses 3 3 100
CSC542E .NET TECHNOLOGY Discipline Specific Elective Courses 3 3 100
CSC551A DATA ANALYTICS LAB Discipline Specific Elective Courses 2 2 50
CSC551B INTERNET OF THINGS LAB Discipline Specific Elective Courses 2 2 50
CSC551C DIGITAL IMAGE PROCESSING LAB Discipline Specific Elective Courses 2 2 50
CSC551D BUSINESS INTELLIGENCE LAB Discipline Specific Elective Courses 2 2 50
CSC552A UNIX OPERATING SYSTEM LAB Discipline Specific Elective Courses 2 2 50
CSC552B WEB TECHNOLOGY LAB Discipline Specific Elective Courses 2 2 50
CSC552C MOBILE APPLICATIONS LAB Discipline Specific Elective Courses 2 2 50
CSC552D GRAPHICS AND ANIMATION LAB Discipline Specific Elective Courses 2 2 50
CSC552E .NET TECHNOLOGY LAB Discipline Specific Elective Courses 2 2 50
MAT531 LINEAR ALGEBRA Core Courses 3 3 100
MAT541A INTEGRAL TRANSFORMS Discipline Specific Elective Courses 3 3 100
MAT541B MATHEMATICAL MODELLING Discipline Specific Elective Courses 3 3 100
MAT541C GRAPH THEORY Discipline Specific Elective Courses 3 3 100
MAT541D CALCULUS OF SEVERAL VARIABLES Discipline Specific Elective Courses 3 3 100
MAT541E OPERATIONS RESEARCH Discipline Specific Elective Courses 3 3 100
MAT551 LINEAR ALGEBRA USING PYTHON Core Courses 2 2 50
MAT551A INTEGRAL TRANSFORMS USING PYTHON Discipline Specific Elective Courses 2 2 50
MAT551B MATHEMATICAL MODELLING USING PYTHON Discipline Specific Elective Courses 2 2 50
MAT551C GRAPH THEORY USING PYTHON Discipline Specific Elective Courses 2 2 50
MAT551D CALCULUS OF SEVERAL VARIABLES USING PYTHON Discipline Specific Elective Courses 2 2 50
MAT551E OPERATIONS RESEARCH USING PYTHON Discipline Specific Elective Courses 2 2 50
STA531 LINEAR REGRESSION MODELS Core Courses 3 3 100
STA541A SAMPLING TECHNIQUES Discipline Specific Elective Courses 3 3 100
STA541B DESIGN OF EXPERIMENTS Discipline Specific Elective Courses 3 3 100
STA541C ACTUARIAL STATISTICS Discipline Specific Elective Courses 3 3 100
STA541D INTRODUCTION TO SPATIAL STATISTICS Discipline Specific Elective Courses 3 3 100
STA551 LINEAR REGRESSION MODELS PRACTICAL Core Courses 2 2 50
STA552A SAMPLING TECHNIQUES PRACTICAL Discipline Specific Elective Courses 2 2 50
STA552B DESIGN OF EXPERIMENTS PRACTICAL Discipline Specific Elective Courses 2 2 50
STA552C ACTUARIAL STATISTICS PRACTICAL Discipline Specific Elective Courses 2 2 50
STA552D SPATIAL STATISTICS PRACTICAL Discipline Specific Elective Courses 2 2 50
VDSS511 INTRODUCTION TO LINUX - 2 0 0
6 Semester - 2020 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
CSC631 DESIGN AND ANALYSIS OF ALGORITHMS Core Courses 3 3 100
CSC641A INTRODUCTION TO SOFT COMPUTING Discipline Specific Elective Courses 3 3 100
CSC641B CLOUD COMPUTING Discipline Specific Elective Courses 3 3 100
CSC641C COMPUTER ARCHITECTURE Discipline Specific Elective Courses 3 3 100
CSC641D OOAD USING UML Discipline Specific Elective Courses 4 4 100
CSC641E USER EXPERIENCE DESIGN(UX) Discipline Specific Elective Courses 3 3 100
CSC681 MAIN PROJECT Core Courses 4 4 100
MAT631 COMPLEX ANALYSIS Core Courses 3 3 100
MAT641A MECHANICS Discipline Specific Elective Courses 3 3 100
MAT641B NUMERICAL METHODS Discipline Specific Elective Courses 3 3 100
MAT641C DISCRETE MATHEMATICS Discipline Specific Elective Courses 3 3 100
MAT641D NUMBER THEORY Discipline Specific Elective Courses 3 3 100
MAT641E FINANCIAL MATHEMATICS Discipline Specific Elective Courses 3 3 100
MAT651 COMPLEX ANALYSIS USING PYTHON Core Courses 2 2 50
MAT651A MECHANICS USING PYTHON Discipline Specific Elective Courses 2 2 50
MAT651B NUMERICAL METHODS USING PYTHON Discipline Specific Elective Courses 2 2 50
MAT651C DISCRETE MATHEMATICS USING PYTHON Discipline Specific Elective Courses 2 2 50
MAT651D NUMBER THEORY USING PYTHON Discipline Specific Elective Courses 2 2 50
MAT651E FINANCIAL MATHEMATICS USING EXCEL AND PYTHON Discipline Specific Elective Courses 2 2 50
MAT681 PROJECT ON MATHEMATICAL MODELS Core Courses 5 5 150
STA631 TIME SERIES ANALYSIS AND FORECASTING TECHNIQUES Core Courses 3 3 100
STA641A APPLIED STATISTICS Discipline Specific Elective Courses 3 3 100
STA641B STATISTICAL QUALITY CONTROL Discipline Specific Elective Courses 3 3 100
STA641C BIOSTATISTICS Discipline Specific Elective Courses 3 3 100
STA641D STATISTICAL GENETICS Discipline Specific Elective Courses 3 3 100
STA651 TIME SERIES ANALYSIS AND FORECASTING TECHNIQUES PRACTICAL Core Courses 2 2 50
STA652A APPLIED STATISTICS PRACTICAL Discipline Specific Elective Courses 2 2 50
STA652B STATISTICAL QUALITY CONTROL PRACTICAL Discipline Specific Elective Courses 2 2 50
STA652C BIOSTATISTICS PRACTICAL Discipline Specific Elective Courses 2 2 50
STA652D STATISTICAL GENETICS PRACTICAL Discipline Specific Elective Courses 2 2 50
    

    

Introduction to Program:

Bachelor of Science (BSc - Computer Science, Mathematics ,Statistics) is a 3-year undergraduate triple main programme spread over six semesters. It is an interdisciplinary program aimed at fostering sound fundamentals in computer science, mathematics statistics. The curriculum in computer science scales from imparting basic concepts in lower semesters to fine grain level along with electives in the higher semesters. Programming labs and projects strengthen the domain knowledge and exposure during the triple main course.The students are imparted both theoretical as well as practical knowledge in statistics using multiple statistical software. Mathematics: The undergraduate course in Mathematics is designed to enable the students to lay a strong foundation in various fields of Mathematics. The course enables the students to develop a respectable intellectual level seeking to expose the various concepts in Mathematics. It also aims at enhancing the students reasoning, analytical and problem solving skills. The first four semesters are devoted to appreciate the beauty of mathematics through Differential Calculus, Differential Equations, Real Analysis and Algebra. In order to help the students in exploration of mathematical concepts through activities and exploration, FOSS (Free and Open Source Software) tools and the computer language "Python" are introduced. Students find better perceptions of the classical courses like Linear Algebra, Complex Analysis and the elective courses.

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO1: Understand and apply the fundamental principles, concepts and methods in key areas of science and multidisciplinary fields

PO2: Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements

PO3: Develop the critical thinking with scientific temper

PO4: Communicate the subject effectively

PO5: Understand the importance and judicious use of technology for the sustainable growth of mankind in synergy with nature

PO6: Understand the professional, ethical and social responsibilities

PO7: Enhance the research culture and uphold the scientific integrity and objectivity

PO8: Engage in continuous reflective learning in the context of technological and scientific advancements

Programme Specific Outcome:

PSO1: Apply the theoretical concepts to design and develop software

PSO2: Demonstrate the problem solving skills in mathematical and digital sciences

PSO3: Provide a comprehensive understanding of data science and its applications

PSO4: Acquire a strong foundation in statistical analytics

PSO5: Express proficiency in oral and written communications to appreciate innovation in research

PSO6: Use software effectively for mathematical modelling

PSO7: Develop industry-focused skills to lead a successful career

Assesment Pattern

Exam pattern for theory

Component

Marks

CIA I

10

Mid Semester Examination (CIA II)

25

CIA III

10

Attendance

05

End Semester Exam

50

Total

100

For Mathematics Practical Courses:

The course is evaluated based on continuous internal assessments (CIA) and the lab e-record. The parameters for evaluation under each component and the mode of assessment are given below:

 

Component

Parameter

Mode of  Assessment

Maximum

Points

CIA I

Mastery of the  concepts

Lab Assignments

20

CIA II

Conceptual clarity and analytical skills

Lab Exam - I

10

Lab Record

Systematic documentation of the lab sessions.

e-Record work

07

Attendance

Regularity and Punctuality

Lab attendance

03

95-100% : 3

90-94%   : 2

85-89%   : 1

CIA III

Proficiency in executing the commands appropriately,.

Lab Exam - II

10

Total

50

 

 

Exam Pattern for practical

Component

Points

CIA of experiments

80

Test 1

25

Test 2

35

Viva-Voce Exam

10

Total

150

                  Total Marks : 50

Examination And Assesments
  • Continuous Internal assessment (CIA) forms 50% and the end semester examination forms the other 50% of the marks in both theory and practical.
  • The MSE & ESE for each theory paper is of two and three hours respectively.
  • The CIA for the practical sessions are done on a day-to-day basis depending upon their performance in the pre-lab, the conduct of the experiment, viva questions etc. Only those who qualify with minimum require attendance and CIA will be allowed to appear for the ESE.

AEN121 - ADDITIONAL ENGLISH (2022 Batch)

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

Course Objectives/Course Description

 

The Additional English course is offered as a second language course and seeks to introduce the students to the nuances of English literature in its varied forms and genres. The students who choose Additional English are generally proficient in the English language. Hence, instead of focusing on introducing them to language, challenging texts in terms of ideas, form, and technique are chosen. Additional English as a course is designed for students in place of a regional language. Non-Resident Indians (NRIs), foreign nationals and students who have not taken Hindi, Kannada, Tamil or French at the Plus 2 or Class XII levels are eligible to choose Additional English. The course is taught for students from different streams, namely, BA, BSc, BCom, and BBA in the first year and for BA, BSc and BCom (Regular) in the second year.

The first year syllabus is an attempt by the Department of English, Christ University to recognize and bring together the polyphonic Indian and Indian sub-continental voices in English in English translation for the Additional English students of the first year. This effort aims to familiarize the students with regional literatures in translation, Indian Writing in English (IWE) and literatures from Pakistan, Nepal and Srilanka, thereby, enabling the students to learn more about Indian culture and ethos through writings from different regions of the country. We have tried to represent in some way or the other the corners of India and the Indian sub-continent in this microcosmic world of short stories, poems and essays

 

There is a prescribed text bookfor the first year students, compiled by the Department of English, Christ University and intended for private circulation.

The first semester has a variety of writing from India, Pakistan and Nepal. The various essays, short stories and poems deal with various socio-economic, cultural and political issues that are relevant to modern day India and the Indian sub-continent and will enable students to comprehend issues of identity-politics, caste, religion, class, and gender. All of the selections either in the manner of their writing, the themes they deal with or the ideologies that govern them are contemporary in relevance and sensibility, whether written by contemporary writers or earlier writers. An important addition to this syllabus is the preponderance of North-Eastern writing which was hitherto not well represented. Excerpts from interviews, autobiographical writings, sports and city narratives are added to this section to introduce students to the varied genres of literature.

The objectives of this course are

to expose students to the rich literary and cultural diversity of  Indian literatures

to sensitise students on the social, political, historical and cultural ethos that has shaped the nation- INDIA

to enable to grasp and appreciate the variety and abundance of Indian writing, of which this compilation is just a passing glance

to learn and appreciate India through association of ideas in the texts and the external contexts (BhashaUtsav will be an intrinsic help in this endeavour)

  

 

Course Outcome

CO1 CO 2: iv) Understand the cultural, social, religious and ethnic diversities of India v) it will be able to be analytical and critical of the pluralistic society they live in through the activities and assignments conducted vi) be aware of the dynamics of gender, identity, communalism and politics of this vast nation through its literature.

Unit-1
Teaching Hours:10
Poetry
 

1.      Keki N Daruwala     “Migrations”

 

2.      Kamala Das            “Forest Fire”

 

3.      Agha Shahid Ali      “Snow on the Desert”

 

4.      Eunice D Souza       “Marriages are Made”

Unit-2
Teaching Hours:15
Short Stories
 

1.      Rabindranath Tagore    “Babus of Nayanjore”

 

2.      Ruskin Bond  “He said it with Arsenic”

 

3.      Bhisham Sahni       “The Boss Came to Dinner”

 

4.      N. Kunjamohan Singh    “The Taste of Hilsa”

 

5.      Mohan Thakuri                “Post Script”

Unit-3
Teaching Hours:20
Essays
 

1.      Mahatma Gandhi       “What is True Civilization?” (Excerpts from Hind Swaraj)

 

2.      Ela Bhatt                    “Organising for Change”

 

3.      Sitakant Mahapatra     “Beyond the Ego: New Values for a Global Neighborhood

 

4.      B R Ambedkar             “Waiting for A Visa”

 

Text Books And Reference Books:

Contemporary knowledge of the soci-political situation in the sub-continent

The text book copy "Reading Diversity"

Essential Reading / Recommended Reading

On-line resources to appreciate the text through the Comprehension Questions

Evaluation Pattern

CIA 1:  Classroom assignment for 20 marks keeping in mind the objectives and learning outcomes of the course.

CIA 2: Mid-semester written exam for 50 marks

CIA 3: Collage, tableaus, skits, talk shows, documentaries, Quizzes or any proactive            creative assignments that might help students engage with India as a cultural space. This is to be done keeping in mind the objectives and learning outcomes of the course.

Question Paper Pattern

Mid Semester Exam: 2 hrs

Section A: 4x5= 20

Section B: 2x15=30

Total                  50

 

End Semester Exam: 2 hrs

Section A: 4 x 5 = 20

Section B: 2 x 15= 30

Total                   50

CSC131 - PROGRAMMING USING C AND DIGITAL COMPUTER FUNDAMENTALS (2022 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 the fundamentals of C programming, number systems, Boolean algebra and logic gates. The C programming helps the students to solve problems through logical thinking and digital logic helps the students to understand the concepts of constructing combinational and sequential circuits.

Course Outcome

CO1: Understand the fundamentals of structured programming, number systems, Boolean algebra and logic gates

CO2: Learn to implement the concepts of arrays, functions, pointers, structures and to analyse logical expressions.

CO3: To create programs with ethical coding standards.

CO4: To design combinational and sequential circuits.

Unit-1
Teaching Hours:6
Introduction
 

Algorithms - flowcharts- The C Character Set - Constants,  Variables and Keywords  -  Types of C Constants - Types of C Variables - Variable Names - C Instructions – data Type Declaration I/O instructions - Arithmetic Instruction - TypeConversion.

 

Unit-2
Teaching Hours:6
Control Structure
 

The Decision Control Structure - The if Statement- if-else Statement- Nested if-else Use of Logical Operators - ! Operator - Decisions Using switch - The Loop Control Structure While Loop - for Loop - break Statement - continue Statement- do-while Loop.

Unit-3
Teaching Hours:6
Arrays
 

A Simple Program Using Array -  Array Initialization - Two  Dimensional Arrays-  Initializing a 2-Dimensional Array - Memory Map of a 2-Dimensional Array – Strings - Standard Library String Functions - strlen( ) - strcpy( ) - strcat() - strcmp() - Two-Dimensional Array of Characters.

Unit-4
Teaching Hours:6
Functions & Pointers
 

Function - Passing Values between Functions - Scope Rule  of  Functions  -  Calling Convention - Return Type of Function - Call by Value and Call by Reference -  An  Introduction to Pointers - Pointer Notation –Recursion.

Unit-5
Teaching Hours:6
Macros and Structures
 

Introduction to macros, Structures - Declaring a Structure - Accessing Structure Elements - How Structure Elements are stored.

Unit-6
Teaching Hours:7
Introduction to Computers & Number systems
 

Different number systems and their conversions (Decimal, Binary, Octal and Hexadecimal) Binary arithmetic - Addition, subtraction, multiplication and division of binary numbers, 1’s and 2’s complement, Floating point numbers, Coding – BCD, Gray,ASCII

 

Unit-7
Teaching Hours:6
Boolean Algebra
 

Boolean operations and expressions, Laws and rules of boolean  algebra,  Demorgan’s Theorem, Boolean expressions, Simplification of Booleanexpression.

Unit-8
Teaching Hours:6
Logic Gates
 

OR gate, NOR gate , NOT gate , AND gate, NAND gate X-OR gate , X-NOR gate, The universal property of NOR and NAND gate, Karnaugh map (SOP).

Unit-9
Teaching Hours:5
Combinational logic
 

Adders (Half and Full), Decoder, Encoder, Multiplexer, De-Multiplexer  (Introductory ConceptsOnly).

 

Unit-10
Teaching Hours:6
Flip-Flops
 

 

Flip-flops- SR flip-flop, JK  flip-flop,  Master  slave  JK flip-flop,  Introduction to Registers  andCounters.

 

Text Books And Reference Books:

[1] Yashavant P. Kanetkar, Let Us C, 15th Edition, BPB Publications, 2012.

  [2] Floyd and Thomas L, Digital Computer Fundamentals, 11th Edition,  Pearson  International, 2015.

Essential Reading / Recommended Reading

[1]  Byron Gottfried and Jitender Chhabra, Programming with C, 3rd Ed, Tata McGrawHill, 2010.

[2]  Balagurusamy E, Programming in ANSI C, 4th Edition, Tata-McGraw-Hill, 2007.

[3]  Deitel H M and Deitel P J, C - How to Program, 7th Edition, Prentice-Hall, 2012.

[4]  Susant K Rout, Cimple,C, Tata-McGraw-Hill Publishing Company Ltd., 2016.

[5]     Malvino, Paul Albert, Leach, Donald P. Gautam Saha, Digital Principles And Applications, 7th Edition,TMH,2010.

[6]  Bartee, Thomas C, Digital Computer Fundamentals, 6th Edition, TMH,2010

Evaluation Pattern

CIA-50%

ESE-50%

CSC151 - C PROGRAMMING LAB (2022 Batch)

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

Course Objectives/Course Description

 

The course introduces programming approach and practical implementation of theoretical concepts in C language. It provides the ability to understand, program, evaluate the given problems. The course also develops analyzing and problem solving skills based  on  C language.

Course Outcome

CO1: Analyze and illustrate algorithm and flowchart for the given C program

CO2: Implement structured C programs

CO3: Trace and debug the programs written in C language

Unit-1
Teaching Hours:30
List of programs
 

 1.  Program to implement conditional statements.

 2.  Program to implement the concepts of while loop.

 3.  Program implementing for loop concepts.

 4.  Program to implement 1D array concept.

 5.  Program based on string concepts.

 6.  Program to implement string library functions.

 7.  Program to implement 2D array concepts.

 8.  Program to implement functions.

 9.  Program demonstrating recursion functions.

 10.Program to demonstrate call by value and call by reference.

Text Books And Reference Books:

[1] Yashavant P. Kanetkar, Let Us C, 15th Edition, BPB Publications, 2012.

Essential Reading / Recommended Reading

[1]  Byron Gottfried and Jitender Chhabra, Programming with C, 3rd Ed, Tata McGrawHill, 2010.

[2]  Balagurusamy E, Programming in ANSI C, 4th Edition, Tata-McGraw-Hill, 2007.

[3]  Deitel H M and Deitel P J, C - How to Program, 7th Edition, Prentice-Hall, 2012.

[4]  Susant K Rout, Cimple,C, Tata-McGraw-Hill Publishing Company Ltd., 2016.

Evaluation Pattern

CIA - 50%

ESE - 50%

ENG121 - ENGLISH - I (2022 Batch)

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

Course Objectives/Course Description

 
  • To expose learners to a variety of texts to interact with
  • To help learners classify ideologies and be able to express the same
  • To expose learners to visual texts and its reading formulas
  • To help learners develop a taste to appreciate works of literature through the organization of language
  • To help develop critical thinking
  • To help learners appreciate literature and the language nuances that enhances its literary values
  • To help learners understand the relationship between the world around them and the text/literature
  • To help learners negotiate with content and infer meaning contextually
  • To help learners understand logical sequencing of content and process information

·         To help improve their communication skills for larger academic purposes and vocational purposes

·         To enable learners to learn the contextual use of words and the generic meaning

·         To enable learners to listen to audio content and infer contextual meaning

·         To enable learners to be able to speak for various purposes and occasions using context specific language and expressions

·         To enable learners to develop the ability to write for various purposes using suitable and precise language.

Course Outcome

CO1: Understand how to engage with texts from various countries, historical, cultural specificities, and politics

CO2: Understand and develop the ability to reflect upon and comment on texts with various themes

CO3: Develop an analytical and critical bent of mind to compare and analyze the various literature they read and discuss in class

CO4: Develop the ability to communicate both orally and in writing for various purposes

Unit-1
Teaching Hours:6
language
 

Common errors- subject-verb agreement, punctuation, tense errors 

 

Unit-1
Teaching Hours:6
Unit 1 1. The Happy Prince By Oscar Wilde 2. Shakespeare Sonnet 18
 

Unit-2
Teaching Hours:6
unit 2
 

1. Why We Travel-Pico Iyer

2. What Solo Travel Has Taught Me About the World – and Myself -ShivyaNath- Blogpost

 

Unit-2
Teaching Hours:6
language
 

sentence fragments, dangling modifiers, faulty parallelism,

Unit-3
Teaching Hours:6
language
 

Note taking

Unit-3
Teaching Hours:6
unit 3
 

1. Thinking Like a Mountain

By Aldo Leopold

2. Short Text: On Cutting a Tree

By Gieve Patel

Unit-4
Teaching Hours:6
language
 

Paragraph writing

Unit-4
Teaching Hours:6
unit 4
 

1. Violence in the name of God is Violence against God

By Rev Dr Tveit

 

2. Poem: Holy Willie's Prayer

By Robert Burns

Unit-5
Teaching Hours:6
unit 5
 

1. The Story of B24

By Sir Arthur Conan Doyle

 2. Short Text: Aarushi Murder case 

 

Unit-5
Teaching Hours:6
Language
 

Newspaper report

Unit-6
Teaching Hours:6
Language
 

Essay writing

Unit-6
Teaching Hours:6
unit 6
 

1.Long text:My Story- Nicole DeFreece

 

2. short text: Why You Should Never Aim for Six Packs

 

Unit-7
Teaching Hours:6
unit 7
 

1.Long Text: Sir Ranjth Singh- Essay by SouravGanguly

2. Short text: Casey at the Bat-  Ernest Lawrence Thayer

Unit-7
Teaching Hours:6
Language
 

Paraphrasing and interpretation skills

Unit-8
Teaching Hours:3
visual text
 

Visual Text: Before the Flood

Text Books And Reference Books:

ENGlogue 1

Essential Reading / Recommended Reading

Addfitional  material as per teacher manual will be provided by the teachers

Evaluation Pattern

CIA 1=20

CIA 2=50 

CIA 3= 20 

ESE= 50 marks online and 50 marks written exam

FRN121 - FRENCH (2022 Batch)

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

Course Objectives/Course Description

 

French as a second language in the UG program. The method Génération A1 consists of a student's book and an activity book, both included in the digital manual. It consists of 6 units preceded by an initial section of 'Welcome'. The structure of each unit marks a real learning journey.

 

Course Objectives

·       To develop linguistic competencies and sharpen oral and written communicative skills

·       To familiarize learners to certain aspects of francophone civilization.

·       To enable learners to engage in simple everyday situations

Course Outcome

CO1: To train the students in correct pronunciation of French.

CO2: To enable students to write correct sentences with appropriate grammar structure and vocabulary.

CO3: To familiarise students with the culture and expressions in French.

CO4: To enhance oral and written comprehension in French.

CO5: To make them proficient in reading, writing, listening and speaking skills in French.

Unit-1
Teaching Hours:10
I discover
 

Lesson 1: Good Morning, how are you?

 Lexicon – Countries and nationalities, domestic animals, days of the week

 Grammar -Subject pronouns, verbs ‘to be’ and ‘to have’, definite and indefinite articles

 Speech acts – Greeting, asking how one is

 

Lesson 2: Hello, my name is Agnes.

Lexicon – Months of the year, numbers 0-69, the family

Grammar – Formation of the feminine / plural, possessive adjectives

Speech acts -Introducing oneself and others, asking and saying dates

 

Unit-2
Teaching Hours:5
Les fables de la Fontaine
 

La cigale et la fourmis (The grasshopper and the ant)

Unit-3
Teaching Hours:10
Culture: Physical and Political France
 

 

Lesson 1: Who is it?

Lexicon - Professions

Grammar – Formation of the feminine, interrogative /negative phrases, it is

Speech acts – Asking and answering politely

   
 

Lesson 2: In my bag, I have......

Lexicon – Some objects, identity card

Grammar – First group verbs, verbs ‘to go’ and ‘to come’

Speech acts – Asking personal information

 

 

Unit-4
Teaching Hours:5
Les fables de la Fontaine
 

Le renard et le corbeau (The fox and the crow)

Unit-5
Teaching Hours:10
Video Workshop: How cute he is!
 

 

Lesson 1: How is he?

Lexicon – The physical aspect, character

Grammar – The formation of the feminine, contracted articles, tonique pronouns, there

                    is/are, interrogative adverbs

Speech acts – Describing the physical aspects and the character

   
 

Lesson 2: Hello?

Lexicon – Prepositions of place, numbers from 70

Grammar – Numbers, prepositions of place, second group verbs, verb ‘to do’

Speech acts – Speaking on the phone                                                                              

 

Unit-6
Teaching Hours:5
Visual text
 

A French movie

Text Books And Reference Books:

1. Cocton, Marie-Noelle. Génération A1. Paris : Didier, 2016 

      2.  De Lafontaine, Jean. Les Fables de la Fontaine.

           Paris, 1668

Essential Reading / Recommended Reading

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 / Letter writing / Film review

10%

 

CIA 2 –Mid Sem Exam

25%

 

CIA 3 – Quiz / Role Play / Theatre / Creative projects 

10%

 

Attendance

05%

 

End Sem Exam

 

50%

Total

50%

50%

HIN121 - HINDI (2022 Batch)

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

Course Objectives/Course Description

 

Course Description

The detailed text book “Samakaleen Hindi Kavitha” edited by Dr.N Mohanan is an anthology of contemporary Hindi Poems written by representative poets of Hindi Literature. From the medieval poetry ' Kabir Ke Dohe and Sur ke pad 'is also included.  The poets reflect on the social, cultural and political issues which are prevalent in our society since the medieval period. Hindusthani sangeeth-parampara eva kalakar is one of the module. Since translation is a significant area in language and literature, emphasis is being given on it in the syllabus.Bharath ki pramukh sanskruthik kalayein  Yakshagana,Kathakali,Ram Leela,Krishna Leela etc. included in the syllabus to enrich cultural values among students.

Course Objectves: 

Students will be exposed to read, analyse and appreciate poems by learning poetry. Through translation, students will be able to develop translation skills while translating from other language articles. Students will be able to analyses critically the different cultural art forms by learning about the Famous cultural art forms of India.

Course Outcome

CO1 : Improve the analytical skills through critical analysis of the poems.

CO2: Analyze the different aspects of Hindustani musical traditions and musicians.

CO3: Enhance the translation skills.

CO4: Improve the basic research skills while doing the CIAs.

Unit-1
Teaching Hours:15
Samakaleen Hindi Kavitha (Collection of contemporary Hindi Poems),Kabir Ke Dohe and Sur Ke Pad.
 

’  Samakaleen Hindi Kavitha (Collection ofcontemporary Poems)  Edited By: Mahendra Kulashreshta Rajpal and Son’s, New Delhi

 

Level of knowledge: Analytical

 

Unit-2
Teaching Hours:10
Translation-Theory and Practice
 

                                                                                            

                                      

                                          

                                           

         

Translation-Practice                English to Hindi and vice- versa.

Unit-3
Teaching Hours:10
Bharath ki pramukh sanskruthic kalayen-
 

Ramleela,Krishnaleela,Yakshagaana,kathakali.

Unit-4
Teaching Hours:10
Hindusthani Sangeeth-parampara evam pramukh kalakar
 

Utbhav,Vikas aur paramparaein

Pramukh Sangeethkar-1.Bhimsen Joshi 2.Gulam Ali 3.Pandit Ravishankar 4. Bismillah Khan.

Text Books And Reference Books:

  1. 'Samakaleen Hindi Kavitha’ (Collection of Poems) Edited By: Dr.N Mohanan,  Rajpal and Son’s,New Delhi.
Essential Reading / Recommended Reading

1. A Hand Book of Translation Studies         By: Das Bijay Kumar.               

2. Saral Subodh Hindi Vyakaran,                 By: Motilal Chaturvedi. Vinod pustak mandir, Agra-2

3. Anuvad Evam Sanchar –                         Dr Pooranchand Tantan, Rajpal and Son’s, Kashmiri

4. Anuvad Vignan                                       By: Bholanath Tiwar

5. Anuvad Kala                                           By: N.E Vishwanath Iyer.

                                                                 

Evaluation Pattern

CIA-1(Digital learning-Editing of Hindi article in Hindi Wikipedia )-20 marks

CIA-2(Mid semester examination)-50 marks

CIA-3(Digital learning-article creation in Hindi Wikipedia)-20 marks

End sem examination-50 marks

KAN121 - KANNADA (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:03

Course Objectives/Course Description

 

The course is taught in the  I Semester for BA/B.Sc. students. The selected Poems (Vachanas & Keerthanas ) from Medieval Literature  & Modern Kannada ( Navodaya)  literature are prescribed.  Texts will help students to understand the writings of  Poets as well as  story writers. Short stories of Sara Abubakar, Ravindranath Tagore, and K.P. Poornachandra Tejaswi  & Folk tales are prescribed. The syllabus will extend the concerns of family, family relationship, social justice and marginalization. Students should be able to comprehend and respond with grammatical accuracy to spoken and written Kannada as well as to demonstrate cultural awareness.

 

Course Outcome

CO1: to understand the values in Medieval Kannada Literature.

CO2: to appreciate the aesthetic aspects of music in Keerthana

CO3 : to understand the art of developing short stories

CO4: to imbibe the cultural aspects in Modern Kannada Stories

CO5 : improves reading, writing and speaking skills

Unit-1
Teaching Hours:15
Kannada Sahitya Samakshama
 

1.      Vachanagalu

(a) Devaradasimayya

(b) Basavanna

(c) Allamaprabhu

(d) Akkamahadvi

(e) Gajesha Masaniyya

(f) Aydakki Lakkamma

2.      Keerthanegalu

(a)    Purandaradasa

(b)   Kanakadasa

3.      B.M.Srikantiah- Kariheggadeya Magalu 

4.      Mumbai Jataka- G.S. Shivarudrappa

 

Unit-2
Teaching Hours:15
Selected Short Stories
 

1. Chappaligalu- Sa Ra Abubakar

2. Mandannana Marriage- Poornachandra Tejaswi

3. Giliya Kathe- Ravindranatha Tagore

4. Dheerakumara- Janapada Kathe

 

Unit-3
Teaching Hours:15
Language Skills
 

1.      Translation ( Passages from English to Kannada & Kannada to English) 

2.      Usage of alphabets in different contexts:  

3.      l & L

4.      a  & H

5.      n & N

6.      Hrasva and Deergha  alphabets

7.    Ottaksharas

 

Text Books And Reference Books:

 

1.      Basavannanavara vachanagalu: L. Basavarjaju
2.      Akkana vachanagalu: L. Basavarajau
3.      Allamana Vachanagalu; L . Basavaraju
4.      Purandara Sahitya Darshana: (Volume 1-2-3-4) S.K. Ramachandra Rao
5.      Kanaka Sahitya Darshana-. D. Javaregowda
6.      Kannada Sanna Kathegala Olavu- Giraddi Govindaraja

 

 

 

Essential Reading / Recommended Reading

1.      A comparative study of Sarana and Dasa literature, P. S Srinivasa,University of Madras (1981)

2.      Sharanara Anubhava Sahitya- H. Thipperudraswamy

3.      Vachana Kammata: (Ed)  K. Marulasiddappa and K. R. Nagaraj

4.      Basavanna: M. Chidananda Murthy

5.      Kanaka Kirana: Ka.Ta. Chikkanna

6.      Kannada Sanna Kathegalu: G.H. Nayak

Evaluation Pattern

CIA-1 Wikipedia - Knowledge of regional language - Typing skills (20 Marks) 

CIA-2 Mid Semester Exams (50 Marks)

CIA-3 Texting Self introduction in Sand box  (20 Marks) 

End Semester Exams ( 50 Marks) 

MAT131 - DIFFERENTIAL CALCULUS (2022 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 aims at enabling the students to know various concepts and principles of differential calculus and its applications. Sound knowledge of calculus is essential for the students of mathematics for the better perceptions of the subject and its development.

Course objectives​: This course will help the learner to

COBJ1. Gain familiarity with the concepts of limit, continuity and differentiability.

COBJ2. Understand the relationship between the concepts of differentiability and continuity.

COBJ3. Analyse and interpret the different versions of mean value theorems.

COBJ4. Learn successive differentiation and nth derivative of product of two functions.

COBJ5. Find derivative of functions of more than one variable.

Course Outcome

CO1: Compute limits, derivatives and examine the continuity, differentiability of a function at a point.

CO2: Understand the properties of continuous functions and prove that differentiability implies continuity

CO3: Prove Mean value theorems and analyse its geometric interpretation.

CO4: Compute derivatives of any order and apply Leibniz? theorem to find nth derivative of product of two functions.

CO5: Master the fundamental concepts of partial differentiation and apply Euler?s theorem for homogeneous functions.

Unit-1
Teaching Hours:20
Limits, Continuity and Differentiability
 

Functions, limit of a function, precise definition of a limit, limit laws, one sided limits, continuity, types of discontinuities, limits involving infinity, asymptotes of graphs, properties of continuous functions on a closed interval, boundedness theorem, extreme value theorem, sign preserving property of continuous functions, intermediate value theorem, differentiability, derivative as a rate of change, differentiability implies continuity, chain rule.

Unit-2
Teaching Hours:20
Application of Derivatives and Successive Differentiation
 

Mean value theorems: Rolle’s theorem, Lagrange’s and Cauchy’s first mean value theorems, Taylor’s theorem (Lagrange’s form and Cauchy’s forms of remainder), Maclaurin’s theorem, series expansions, indeterminate forms, curvature and radius of curvature, singular points, successive differentiation, nth derivatives of functions, Leibnitz theorem and its applications.

Unit-3
Teaching Hours:20
Partial Differentiation
 

Functions of several variables, limits and continuity for functions of two variables, partial derivatives, the chain rule, homogeneous functions, Euler’s theorem, extreme values and saddle points, Taylor's formula for two variables, Lagrange multipliers, partial derivatives with constrained variables, Jacobians.

Text Books And Reference Books:
  1. G. B. Thomas, M. D. Weir, J. Hass, Thomas Calculus, 12 Ed., Pearson Education India, 2015.
  2. H. Anton, I. Birens, S. Davis, Calculus, John Wiley and Sons Inc., 2002.
Essential Reading / Recommended Reading
  1. G. B. Thomas, R. L. Finney, Calculus and Analytic Geometry, 9th Ed., Addison-Wesley Pub. Co., 1998.
  2. F. Ayres and E. Mendelson, Schaum's Outline of Calculus, 6th Ed., USA: Mc. Graw Hill, 2013.
  3. N. P. Bali, Differential Calculus, New Delhi, Laxmi Publications (P) Ltd., India, 2012.
  4. J. Stewart, Single Variable Essential Calculus: Early Transcendentals, 2nd Ed., Belmont, USA: Brooks/Cole Cengage Learning., 2013.
  5. S. Narayanan, T. K. M. Pillay, Calculus, Reprint, S. Viswanathan Pvt. Ltd., India, 2009. (vol. I & II.)
  6. M. Spivak, Calculus, 3rd Ed. Cambridge University Press, 2006.
  7. T. M. Apostol, Calculus, Vol-II, Wiley India Pvt. Ltd., 2011.
  8. J. Edwards, An elementary treatise on the differential calculus: with applications and numerous examples, Reprint, Charleston, USA: Biblio Bazaar, 2010.
Evaluation Pattern

 

Component

Mode of Assessment

Parameters

Points

CIA I

MCQ,

Written Assignment,

Reference work, etc.,

Mastery of the core concepts

Problem solving skills

 

10

CIA II

Mid-semester Examination

Basic, conceptual and analytical knowledge of the subject

25

CIA III

Written Assignment, Project

Problem solving skills

10

Attendance

Attendance

Regularity and Punctuality

05

ESE

 

Basic, conceptual and analytical knowledge of the subject

50

Total

100

MAT151 - INTRODUCTION TO PYTHON PROGRAMMING-I (2022 Batch)

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

Course Objectives/Course Description

 

Course Description: Introduction to Python Programming-1 provides a foundational background for programming in a mathematical setting. Students will learn the basics of object orientated programming, algorithm, flow chart, memory storage, variable scoping, modules, objects and classes, and basic data structures.

Course objectives​: This course will help the learner to

COBJ1: Acquire proficiency in using Python Programming.

COBJ2: Demonstrate the use of Python to understand and interpret the some concepts in mathematics.

Course Outcome

CO1: Write algorithms, flow chart and codes.

CO2: Use modules and functions in python language.

CO3: Acquire proficiency in using conditional structures.

CO4: Solve problems using control structures.

CO5: Use python lists, tuples and dictionaries.

CO6: Write small programs using python programming.

Unit-1
Teaching Hours:30
Proposed Topics:
 
  1. Getting started with Python
  2. Variable, printing, input and output
  3. Modules and functions
  4. If statements, conditional operators, and elif
  5. For loops, break statements, loop variable, and range function
  6. Numbers, math operators, random numbers, and math functions
  7. Counting, summing, swapping, flag variables, maxes and mins, comments, debugging and basic programs
  8. Strings, concatenation and repetition, the in operator, indexing, slices, looping, and string Methods
  9. Lists, list methods, and tuples
Text Books And Reference Books:
  1. H. Brian, A Practical Introduction to Python Programming, Creative Commons Attribution, 2012.
  2. A. Saha, Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!, No Starch Press, 2015.
Essential Reading / Recommended Reading
  1. T. Hall, J. P. Stacey, Python 3 for absolute beginners, Apress, 2010.
Evaluation Pattern

The course is evaluated based on continuous internal assessments (CIA) and the lab e-record. The parameters for evaluation under each component and the mode of assessment are given below.

Component

Parameter

Mode of  Assessment

Maximum

Points

CIA I

Mastery of the  concepts

Lab Assignments

20

CIA II

Conceptual clarity and analytical skills

Lab Exam - I

10

Lab Record

Systematic documentation of the lab sessions.

e-Record work

07

Attendance

Regularity and Punctuality

Lab attendance

03

95-100% : 3

90-94%   : 2

85-89%   : 1

CIA III

Proficiency in executing the commands appropriately,.

Lab Exam - II

10

Total

50

SAN121 - SANSKRIT (2022 Batch)

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

Course Objectives/Course Description

 

Janakiharana of Kumaradasa is the first Sanskrit mahakavya, so far as the extant literature goes, to deal solely with the whole of the Ramayana story. Its further interest is that it was produced in Ceylon, showing thereby the wider world over which Sanskrit had its sway. After manuscripts of the full text of the poem in twenty cantos had to come to light in South India, what is now presented was the first systematc and critical study to be undertaken to the author and the text and its position vis-a-vis other Mahakavyas. In addition to the above study and the critical edition of the cantos which were at that time unpublished the examination of the large number of extra-verses found in some MSS of the text and showing them as interpolations.

Course Outcome

CO1: To understand the theme of epics

CO2: To develop new perspectives..

CO3: To appreciate the styles and thoughts of individual poets.

CO4: To focus on the poetical, artistic, cultural and historical aspects of the poetic works.

CO5: To enhance translation and interpretation skills.

Unit-1
Teaching Hours:35
Janaki Haranam
 

Selected shlokas 1-60 shlokas

Janakiharana of Kumaradasa is the first Sanskrit mahakavya, so far as the extant literature goes, to deal solely with the whole of the Ramayana story. Its further interest is that it was produced in Ceylon, showing thereby the wider world over which Sanskrit had its sway. After manuscripts of the full text of the poem in twenty cantos had to come to light in South India, what is now presented was the first systematc and critical study to be undertaken to the author and the text and its position vis-a-vis other Mahakavyas. In addition to the above study and the critical edition of the cantos which were at that time unpublished the examination of the large number of extra-verses found in some MSS of the text and showing them as interpolations.

Unit-2
Teaching Hours:5
Grammar
 

Sandhi prakaranam Swarsandhi and vyajanasandhi

lakara´s 

 

Unit-3
Teaching Hours:5
Language skills
 

Translate the given passage from english to sanskrit 

write an aritcle in sanskrit on the topic given 

Text Books And Reference Books:

Books for References: -

1)      Janakiharanam of Kumaradasa edited by  C K Swaminathan

2)      Janakiharanam edited by G.R. Nandargikar

3)      Sanskrit Grammar Translation from English to Sanskrit by M.R. Kale

Sanskrit Grammar Kannada version by Satish Hegde.                                   

Essential Reading / Recommended Reading

Ramayana of Valmiki

Champu Ramayana of Bhoja 

Evaluation Pattern

 

 

CIA 1 Wikipedia assignments

 

CIA 2 Mid semester examinations

 

CIA 3 Wikipedia assignments

 

STA131 - DESCRIPTIVE STATISTICS AND PROBABILITY (2022 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 designed to introduce the historical development of statistics, presentation of data, descriptive measures and fitting mathematical curves for the data. This course also introduces measurement of relationship of quantitative and qualitative data and the concept of probability.  

Course Outcome

CO1: Demonstrate the history of statistics and present the data in various forms.

CO2: Apply the concept of correlation and regression for relating two or more related variables.

CO3: Demonstrate the probabilities for various events.

Unit-1
Teaching Hours:10
Organization and presentation of data
 

Origin and development of Statistics - Scope - limitation and misuse of statistics - types of data: primary, secondary, quantitative and qualitative data - Types of Measurements: nominal, ordinal, ratio and scale - discrete and continuous data - Presentation of data by tables: construction of frequency distributions for discrete and continuous data - graphical representation of a frequency distribution by histogram and frequency polygon - cumulative frequency distributions (inclusive and exclusive methods).

Unit-2
Teaching Hours:15
Descriptive Statistics
 

Measures of location or central tendency: Arthimetic mean - Median - Mode - Geometric mean - Harmonic mean - Partition values: Quartiles - Deciles and Percentiles - Measures of dispersion: Mean deviation - Quartile deviation - Standard deviation - Coefficient of variation - Moments: measures of skewness - kurtosis. 

Unit-3
Teaching Hours:10
Correlation and Regression
 

Correlation: Scatter plot - Karl Pearson coefficient of correlation - Spearman's rank coefficient of correlation - Regression: Concept of errors - Principles of Least Square - Simple linear regression and its properties - multiple and partial correlations (for 3 variates only).

Unit-4
Teaching Hours:15
Basics of Probability
 

Random experiment - sample point and sample space – event - algebra of events - Definition of Probability: classical - empirical and axiomatic approaches to probability - properties of probability - Theorems on probability - conditional probability and independent events - Laws of total probability - Baye’s theorem and its applications.

Unit-5
Teaching Hours:10
Association of Attributes
 

Relation between class frequencies - consistency of data - independence of attributes - criterion of independence - association of attributes: Yule’s coefficient of association - Yule’coefficient of colligation.

Text Books And Reference Books:

1.      Gupta S.C and Kapoor V.K, Fundamentals of Mathematical Statistics, 12th edition, Sultan Chand & Sons, New Delhi, 2020.

Essential Reading / Recommended Reading

1.      Mukhopadhyay P, Mathematical Statistics, Books and Allied (P) Ltd, Kolkata, 2018.

2.      Walpole R.E, Myers R.H, and Myers S.L, Probability and Statistics for Engineers and Scientists, Pearson, New Delhi, 2017.

3.      Montgomery D.C and Runger G.C, Applied Statistics and Probability for Engineers, 7th Edition, Wiley India, New Delhi, 2018.

4.      Agarwal B.L, Basic Statistics, 6th Edition, New Age International (P) Limited Publishers, 2018.

Evaluation Pattern

CIA 50%

ESE 50%

STA151 - DESCRIPTIVE STATISTICS AND PROBABILITY PRACTICAL (2022 Batch)

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

Course Objectives/Course Description

 

The course is designed to provide a practical exposure to the students in basic concepts of Statistics using EXCEL.

Course Outcome

CO1: Demonstrate the data entry and manipulation using EXCEL

CO2: Demonstrate the given data graphically

CO3: Demonstrate the basic statistical analysis for given data

Unit-1
Teaching Hours:30
Practical Assignments using Excel:
 

1.      Basic data manipulation techniques: sorting, filtering, conditional formatting 

2.      Diagrammatic representation

3.      Measures of central tendency using Excel functions

4.      Measures of dispersion using Excel functions

5.      Descriptive statistics using Data Analysis Pack (DAP)

6.      Correlation and Correlation matrix

7.      Regression analysis and their significance

8.      Partial and multiple correlation coefficient

9.      Calculation of probabilities of different events using probability properties

10.  Calculation of posterior probabilities using Baye’s theorem

11.  Construction of Pivot table

12.  Calculation of consistency of data and Yule’s coefficient of association

Text Books And Reference Books:
  1. Alexander R, Kuselika R and Walkenbach J, Microsoft Excel 2019 Bible, Wiley India Pvt Ltd, New Delhi, 2018.
Essential Reading / Recommended Reading
  1. McFedries P, Excel Data Analysis Visual Blueprint, 4th Edition, Wiley India Pvt Ltd, New Delhi, 2013.
Evaluation Pattern

CIA 50%

ESE 50%

TAM121 - TAMIL (2022 Batch)

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

Course Objectives/Course Description

 

Poems of Bharatiyar and Bharatidasan and poems by women poets with feminine sensibilities  will initiate the students into the modern period with all its complexities. The short stories by Ambai offers a matured vision of life through a varied characters and situatins. A new concept, Cultural Studies, will take the students beyond prescribed syllabus to include music, theatre, painting and films out of whcih the art form of music is taken up for the first semester.

Course Outcome

CO1: To make the students experience the impact made by Bharathiyar and Bharathidasan during the 20th century and to bring them to the realities of 21st century.

CO2: They will also learn, on their own, about the nuances of music and a unique aesthetic experience it offers

Unit-1
Teaching Hours:10
Modern Poetry- Bharathiyar
 

1. Kannan yen sevagan

2. Kannan yen kozhandhai

3. Kannan yen vilayatu pillai

4. Kannan yen kadhalan

5. Kannan yen kadhali

 

Unit-2
Teaching Hours:10
Bharathi dasan
 

1. Kadal

2. Kundram

3. Nyaairu

4. Aal

5. Chittrur

Unit-3
Teaching Hours:10
Contemporary Cultural Issues
 

Prose including reference to contemporary literary issues

1. Oru karupu silanthi udan oru iravu- Ambai

Cultural studies, Indian festivals

Unit-4
Teaching Hours:10
Penniya kavithaigal
 

1.Ottadai -Thamarai

2. Kapinaani thozhudhal- Ponmani vairamutu

3. Yendhan tozha- Subhathra

4. Kadal konda pen puram- Andal priya dharshini

5. Pen- P. Kalpana '

 

 

Unit-5
Teaching Hours:2
Grammer- Language skills
 

Pira mozhi chorkal

Unit-6
Teaching Hours:3
Common topic
 

Isai

Text Books And Reference Books:

 

Malliga, R et al (ed).Thamilppathirattu I.Bangalore: Prasaranga,2011

     ‘Oru Karuppuchilanthiyudan Or Iravu’ by Ambai,

 

      published by Kalachuvadu Publications, Nagercoil, 2014

 

 

 

 

Essential Reading / Recommended Reading

 Varadarajan, Mu.  Thamil Ilakkia Varalaru . New Delhi:Sahitya Akademi, 2008

 Sivathambi, Ka.Thamil Sirukathaiyin Thorramum Valarchiyum.Coimbatore: NCBH, 2009

 Ragunathan,C.Bharathi: Kalamum Karuthum, Chennai:NCBH, 1971

 

Ramakrishnan S 100 Sirantha Sirukathaigal, Chennai: Discovery Books, 2013

 

Evaluation Pattern

With a total of 100 marks, 50 marks will come from Continuous Internal Assessment (CIA) and the remaining 50 marks will come from end semester exanination. While the end semester examination will be fully theory based the CIA will consist of  assignments, theatre production, book review and other activities

AEN221 - ADDITIONAL ENGLISH (2022 Batch)

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

Course Objectives/Course Description

 

The second semester has a variety of writing from India, Pakistan and Srilanka. The various essays, short stories and poems deal with various socio-economic, cultural and political issues that are relevant to modern day India and the Indian sub-continent and will enable students to comprehend issues of identity-politics, caste, religion, class, and gender. All of the selections either in the manner of their writing, the themes they deal with or the ideologies that govern them are contemporary in relevance and sensibility, whether written by contemporary writers or earlier writers. Excerpts from interviews, autobiographical writings, sports and city narratives are added to this section to introduce students to the varied genres of literature.

The objectives of this course are

to expose students to the rich literary and cultural diversity of  Indian literatures

to sensitise students on the social, political, historical and cultural ethos that has shaped the nation- INDIA

to enable to grasp and appreciate the variety and abundance of Indian writing, of which this compilation is just a passing glance

 

to learn and appreciate India through association of ideas in the texts and the external contexts (BhashaUtsav will be an intrinsic help in this endeavour)

 

Course Outcome

CO1 CO 2: iv) Understand the cultural, social, religious and ethnic diversities of India v) it will be able to be analytical and critical of the pluralistic society they live in through the activities and assignments conducted vi) be aware of the dynamics of gender, identity, communalism and politics of this vast nation through its literature.

Unit-1
Teaching Hours:10
Poetry
 

1.      Jayanta Mahapatra    “Grandfather”

 

2.      Meena Alexander    “Rites of Sense”

 

3.      K.Satchidanandan      “Cactus”

 

4.      Jean Arasanayagam   “Nallur”

Unit-2
Teaching Hours:15
Short Stories
 

1.      Temsula Ao             “The Journey”

 

2.      A. K Ramanujan       “Annaya’s Anthropology”

 

3.      Sundara Ramswamy   “Waves”

 

4.      Ashfaq Ahmed            “Mohsin Mohalla”

 

5.      T.S Pillai                      “In the Floods”

Unit-3
Teaching Hours:20
Essays
 

1.      Salman Rushdie        “Gandhi Now”

 

2.      Amartya Sen             “Sharing the World”

 

3.      Suketu Mehta            “Country of the No”

 

4.      Rahul Bhattacharya     “Pundits From Pakistan” (An Excerpt)

Text Books And Reference Books:

The textbook "Reading Diversity"

Essential Reading / Recommended Reading

Online references for Comprehension Questions in the textbook

Evaluation Pattern

Evaluation Pattern

CIA 1: Classroom assignment/test for 20 marks keeping in tune with the course objectives and learning outcomes.

CIA 2: Mid-semester written exam for 50 marks

CIA 3: Collage, tableaus, skits, talk shows, documentaries, Quizzes or any proactive            creative assignments that might help students engage with India as a cultural space. This is to be done keeping in tune with the course objectives and learning outcomes.


Question Paper Pattern        

Mid Semester Exam: 2 Hrs

Section A: 4x5= 20

Section B: 2x15=30

Total                  50

End Semester Exam: 2 hrs

Section A: 5 x 5 = 25

Section B: 5 x 15= 75

Total                   100

 

 

 

 

 

 

 

 

 

CSC231 - DATA STRUCTURES AND OPERATING SYSTEMS (2022 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 knowledge on the data storage techniques, accessing techniques, the various operations applied on the data and fundamental knowledge of operating system architecture and the various operations performed by the Operating system. This course helps the students to attain comprehensive understanding of programming and to acquire the knowledge on the different tasks like job scheduling, memory  management,  file  handling done by operatingsystems.

Course Outcome

CO1: Understand the different Data Structures using C and the fundamental principles of operating system and system structure.

CO2: To implement the different operations on the data structures and to evaluate the process scheduling, deadlock system and effective memory management

CO3: To analyse the applications of data structures in real time applications CO4: To analyse the file structure, directory structure and allocation methods.

Unit-1
Teaching Hours:6
Arrays
 

Introduction to data structures- Arrays- Introduction, Array  Operations,  linear  search  – Binary search – insertion in an array– deletion in an array – sort  – Bubble  Sort  - Insertion  Sort - SelectionSort.

Unit-2
Teaching Hours:6
Linked List
 

Introduction –Insertion – Deletion – Search - Double Linked List Representations.

Unit-3
Teaching Hours:6
Stack & Queue
 

Introduction - Stack Operations using arrays and linked lists - Infix to Prefix - Queue Operations using array and linkedlist.

Unit-4
Teaching Hours:6
Binary Trees
 

Introduction - Binary Trees- Properties of Binary Trees - Binary Tree  Representations  -  Binary TreeTraversals.

Unit-5
Teaching Hours:6
Graphs
 

Introduction – Definitions and terminology – graph representations – Depth first search – Breadth first search

Unit-6
Teaching Hours:6
Introduction and System Structures
 

Operating system definition, computer system organization, architecture, structure and operations, process, memory and storage management.

 

Unit-7
Teaching Hours:6
Process Management
 

Process concepts, scheduling, operations on processes. Process Scheduling: Basic concepts, scheduling criteria, scheduling algorithms, Synchronization: Background, critical section problems.

Unit-8
Teaching Hours:6
Deadlock
 

Deadlock System model, deadlock characterization, methods for handling deadlock, deadlock prevention, avoidance and detection.

Unit-9
Teaching Hours:6
Memory Management
 

Memory Management Strategies: Background, swapping, Memory allocation,  Paging, Structure of the pagetable.

Unit-10
Teaching Hours:6
File system
 

File system structure, directory structure, allocation methods and free-space management.

Self Learning : Segmentation, File system structure.

Text Books And Reference Books:

[1] Yashwant Kanetkar, Data Structures through C, BPB Publication,  2nd  edition,  reprint 2016.

[2]   Silberschatz, P.B. Galvin and G. Gagne, Operating System  Concepts,  9th  Edition, New Delhi, Wiley India,2012.

Essential Reading / Recommended Reading

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

      [2]    Seymour Lipschultz: Data Structures, Schaum series TMH,2010.

[3]    William Stallings, Operating system Internals and Design Principles, 7th Edition, Prentice Hall,2017.

[4]    Andrew S. Tanenbaum and Herbert Bos, Modern Operating Systems, 4th Edition, Pearson,2014.

[5]    H.M. Deitel, P. J. Deitel, D. R. Choffnes, Operating Systems, 3rd Edition, Pearson, 2007.

Evaluation Pattern

CIA: 50%

ESE: 50% 

CSC251 - DATA STRUCTURES LAB (2022 Batch)

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

Course Objectives/Course Description

 

The course introduces programming approach and practical implementation of data structure concepts. The course aims to familiarize with practical and real time application of linear and Non-linear data structure. It provides the ability to identify, apply and evaluate relevant data structure concept for the given problems.

Course Outcome

CO1: Understand the need for Data Structures when building application

CO2: To write diversified solutions for given problem

CO3: Improve logical, analytical, problem solving skill using Cprogramming

Unit-1
Teaching Hours:30
List of lab Programs
 

1.            Inserting an element into one dimensionalarray

2.            Deletion of an element from one dimensionalarray

3.            Implementation of  insertionsort.

4.            Implementation of  selectionsort.

5.            Implementation of BinarySearch.

6.            Implementation of Linear Search in a linked list

7.            Creation of a linked list and inserting nodes into it.

8.            Deletion from a linked list.

9.            Implementation of different operations on a stack.

10.        Implementation of different operations on aqueue

Text Books And Reference Books:

[1] Yashwant Kanetkar, Data Structures through C, BPB Publication,  2nd  edition,  reprint 2016.

Essential Reading / Recommended Reading

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

      [2]  Seymour Lipschultz: Data Structures, Schaum series TMH,2010.

Evaluation Pattern

CIA: 50%

ESE: 50% 

ENG221 - ENGLISH - II (2022 Batch)

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

Course Objectives/Course Description

 
  • To expose learners to a variety of texts to interact with
  • To help learners classify ideologies and be able to express the same
  • To expose learners to visual texts and its reading formulas
  • To help learners develop a taste to appreciate works of literature through the organization of language
  • To help develop critical thinking
  • To help learners appreciate literature and the language nuances that enhances its literary values
  • To help learners understand the relationship between the world around them and the text/literature
  • To help learners negotiate with content and infer meaning contextually
  • To help learners understand logical sequencing of content and process information

·         To help improve their communication skills for larger academic purposes and vocational purposes

·         To enable learners to learn the contextual use of words and the generic meaning

·         To enable learners to listen to audio content and infer contextual meaning

·         To enable learners to be able to speak for various purposes and occasions using context specific language and expressions

·         To enable learners to develop the ability to write for various purposes using suitable and precise language.

Course Outcome

CO1: Understand how to engage with texts from various countries, historical, cultural specificities and politics

CO2: Understand and develop the ability to reflect upon and comment on texts with various themes

CO3: Develop an analytical and critical bent of mind to compare and analyze the various literature they read and discuss in class

CO4: Develop the ability to communicate both orally and in writing for various purposes

Unit-1
Teaching Hours:6
food
 

1.  Long text:    Witches’ Loaves

O Henry

2.   Short text:  Portion size is the trick!!!

By Ranjani Raman

Unit-1
Teaching Hours:6
language
 

Presentation skills

Unit-2
Teaching Hours:6
Fashion
 

1.Long text: In the Height of Fashion-Henry Lawson

 

2. short text: Crazy for Fashion- BabatundeAremu

Unit-2
Teaching Hours:6
Language
 

Report writing

Unit-3
Teaching Hours:6
Language
 

Group Discussion

Unit-3
Teaching Hours:6
Architecture
 

1.    long text:  Bharat Bhavan

By Charles Correa

2.   Short text:  The Plain Sense of Things

By Wallace Stevens

 

Unit-4
Teaching Hours:6
Management
 

1.Long Text: The Amazing Dabbawalas of Mumbai- ShivaniPandita

 

2. Short Text:

If

By Rudyard Kupling

Unit-4
Teaching Hours:6
Language
 

Interview skills and CV writing

Unit-5
Teaching Hours:6
language
 

Developing arguments- debating

Unit-5
Teaching Hours:6
History
 

1.    Long tet: Whose Ambedkar is he anyway?

           By KanchaIlaiah

 

2. Short text: Dhauli

By JayantaMahapatra

Unit-6
Teaching Hours:6
language
 

Letter writing and email writing

Unit-6
Teaching Hours:6
War
 

1.    Long text: An Occurrence at Owl Creek Bridge

By Ambrose Bierce

2.     Short text: Strange meeting

By Wilfred Owen

Unit-7
Teaching Hours:6
language
 

Ethics of writing on social media platforms

Unit-7
Teaching Hours:6
Social Media
 

1.Long text: Facebook and the Epiphanator: An

End to Endings?

            By Paul Ford

2. Short text:  'Truth in the time of Social Media' by Girish Balachandran

Unit-8
Teaching Hours:3
visual text
 

BBC Documentary- Dabbawalas

Text Books And Reference Books:

ENGlogue 1

Essential Reading / Recommended Reading

teacher manual and worksheets that teachers would provide. Listening skills worksheets.

Evaluation Pattern

CIA1- 20

MSE-50

CIA3- 20

ESE- 50 online and 50 written

FRN221 - FRENCH (2022 Batch)

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

Course Objectives/Course Description

 

French as a second language in the UG program. The method Génération A1 consists of a student's book and an activity book, both included in the digital manual. It consists of 6 units preceded by an initial section of 'Welcome'. The structure of each unit marks a real learning journey.

 

Course Objectives

·       To develop linguistic competencies and sharpen oral and written communicative skills

·       To familiarize learners to certain aspects of francophone civilization.

·       To enable learners to engage in simple everyday situations

Course Outcome

CO1: To familiarize students with French words and pronunciation.

CO 2: To enable students in reading and writing skills

CO 3: To enhance the listening and speaking skills.

CO 4: To make them proficient in the language skills.

CO 5: To enable the communication skills in french.

Unit-1
Teaching Hours:10
Culture: A country of vacation
 

Dossier 4- Culture: A country of vacation

 

Lesson 1: Hobbies

Lexicon – Hobbies, daily activities, matter

Grammar – Interrogative adjectives, ordinal numbers, time, direct object personal pronouns

Speech acts – Speaking about tastes and preferences

 

   
 

Lesson 2: The routine

Lexicon – Weather and time, frequency

Grammar – Pronominal verbs, first group verbs, verb ‘to take’

Speech acts – Describing one’s day

Unit-2
Teaching Hours:5
Poem
 

1. Demain dès l'aube (Tomorrow from dawn)- Victor Hugo

Unit-3
Teaching Hours:10
I discover
 

Dossier 5 - I discover

Lesson 1: Where to shop?

Lexicon – Food, quantity, trade and traders

Grammar – Partitive articles, pronouns of quantity, very or very much

Speech acts – At the restaurant -ordering and commenting

   
 

Lesson 2: Discover and Taste

Lexicon – To ask and say the price, services, modes of payment

Grammar – It is/ He is, imperative tense, it is necessary, verbs ‘to owe’, ‘to be able,

                  ‘to know’, ‘to wish/want’

Speech acts -Inviting and responding to an invitation

Unit-4
Teaching Hours:5
Poem
 

 

2. Le Lac (The Lake) - Alphonse de Lamartine

Unit-5
Teaching Hours:10
Culture: Gourmet Countries
 

Dossier 6- Culture: Gourmet Countries

 

Lesson 1: Everyone is having fun

Lexicon- Outings, situating in time

Grammar – Demonstrative adjectives, formation of the feminine, indefinite pronoun ‘one’

                   Immediate future

Speech acts – Describing an outfit

   
 

Lesson 2: Daily routine of Teenagers

Lexicon – The family, clothes and accessories

Grammar – Simple past tense, first group verbs ending in ‘yer’, verbs ‘to see’ and ‘to go out’

Speech acts – Writing a friendly message                                                                                                         

 

Unit-6
Teaching Hours:5
Revision
 

Revision of grammar and skills

Text Books And Reference Books:

1. Cocton, Marie-Noelle. Génération A1. Paris : Didier, 2016 

2.  De Lafontaine, Jean. Les Fables de la Fontaine. Paris, 1668

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 / Letter writing / Film review

10%

 

CIA 2 –Mid Sem Exam

25%

 

CIA 3 – Quiz / Role Play / Theatre / Creative projects 

10%

 

Attendance

05%

 

End Sem Exam

 

50%

Total

50%

50%

HIN221 - HINDI (2022 Batch)

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

Course Objectives/Course Description

 

 Course Description:

 

 

The text book ”Samakaleen Kahaniyam is a contemporary socio-political issues based story collection edited by Dr.Vanaja  Published by Rajpal and sons, New Delhi.  In this semester four visual texts/film appreciation and famous four film directors of India from different languages have been incorporated along with conversation writing and practices to improve the spoken skills of the students.

 

 

 

Course Objectives:

 

Students are exposed to the world of Hindi fiction particularly short stories. Film appreciation helps them to improve their writing and analytical skills and know more about the thematic and technical aspects of Cinema.  The module ‘Film Directors’ will inspire students to achieve professionally and personally.  Conversation practice enable them to use the correct form of language by which spoken communication skill will be enhanced.

 

Course Outcome

CO1 : Improve the analytical skills through critical analysis of the stories.

CO2 : Understand the thematic and technical aspects of Hindi movies through the visual text.

CO3: Improve the basic research skills while doing the research article creation for CIAs.

CO4: Improve the spoken skills by conversation practices.

Unit-1
Teaching Hours:15
Samakaleen Kahaniyam
 

The text book “  Samakaleen Kahaniyam    ” is a story collection edited by Dr. Vanaja from contemporary writers of Hindi Literature.

Unit-2
Teaching Hours:15
Film Studies
 

  • Movie review-Theesari Kasam, English-Vinglish,Dangal and Ankur.                                           ,
  • Bharathiya cenema ke vikhyath kalakar-Satyajit Roy,Girish Kasaravalli,Shyam Benegal and Adoor Gopalakrishnan.                                             

Level of knowledge: Conceptual

Unit-3
Teaching Hours:15
Conversation Writing
 

At least 10 exchanges each on the given context.                                                                                                                                                                               

Level of knowledge: Basic

Text Books And Reference Books:

1. Story Collection‘Samakaleen kahaniyam’ (Full Text) Edited By: Dr. Vanaja Published By: Rajpal and Sons Kashmiri Gate, New Delhi-6.

 

Essential Reading / Recommended Reading

1. Sugam Hindi Vyakaran                By: VamshidharDharmpalShastriShiksha

Bharathi, New Delhi.

2. SaralSubodh Hindi Vyakaran,       By:MotilalChaturvedi. Vinod pustak

mandir , Agra-23. Cinema AurSamskritiMazoomRizaRahi

3.Bolchalki Hindi aursancharBy:Dr.MadhuDhavan.Vaniprakasan,New Delhi.

Evaluation Pattern

CIA-1(Digital learning-Wikipedia)

CIA-2(Midsemester examination)

CIA-3(Digital learning-Wikipedia)

End semester examination

KAN221 - KANNADA (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:03

Course Objectives/Course Description

 

Course Description: The prescribed play AMRAPALI  by Dr. Prabhushankar, and the selection of short stories, Essays and Academic science writings are the texts for Second semester Kannada The Legend of Amrapali originated in the Buddhist Jataka Tales some 1500 years ago. Amrapali is a great character in the Indian history. She was known as a dancer and also a philosophical thoughts oriented woman. A key goal of this course will be to familiarize students with the basic techniques of analysing written drama and its stages performances. The selected prose will extend the concerns of Environment,  Folk beliefs and social justice.

Course Objectives: Students will be able to read drama scripts in Kannada and understand main ideas and details in different kinds of dramatic scripts.  The Play improves listening comprehension of different types of spoken texts-for main ideas, details and speakers’ attitude and emotions. It helps in develop and use language learning strategies for all language skills.

Course Outcome

CO1 : to analyze and interpret texts and performances both in writing and orally

CO 1: to demonstrate the knowledge of theatre

CO2: to improve creative writing skills

CO3 : to practice collaborative skills in various theatrical contexts

CO5 : to analyze a variety of short stories/fiction

Unit-1
Teaching Hours:20
Text-1 AMRAPALI- DR. S. PRABHUSHANKARA
 

Act-1 ( Scene-1 ) Pages 07-13

Act-1 ( Scene-2 ) Pages 13-19

Act-1 ( Scene-3 ) Pages 19-28

Act-1 ( Scene-4 ) Pages 20-42

Act-2 ( Scene-1 ) Pages 42-50

Act-2 ( Scene-2 ) Pages 50-58

Act-2 ( Scene-2 ) Pages 59-65

Act-2 ( Scene-2 ) Pages 66-70

 

Unit-2
Teaching Hours:15
Text-2 Selected short stories, essays and academic science writings.
 

1.    

1.      Pashchimaghattagala Patana- Nagesh Hegde

2.      Aeroplane mattu Chitte- K.P. Poornachandra Tejaswi

3.      Dheerakumara- Ed. Gee Sham Paramashiviah

4.      Post Master- Ravindranath Tagore (Translated by Ahobala Shankara)

 

Unit-3
Teaching Hours:10
Creative Writings
 
  1. Essay Writing
  2. Dialogue Writing
  3. Letter Writing
Text Books And Reference Books:

1. Adhunika Kannada Nataka- K. Marulasiddappa

2. Kannada Sahitya Charithre- Rum Shri Mugali

3. What Buddha Taught- Walpola Sri Rahula 

4. Buddha- Mounada Sakara Murthy- Sri Sri Ravishankar 

5. Life of Buddha- Kashinath Potdar 

Essential Reading / Recommended Reading

1. The story of Buddha The Enlightened one- Tripati Nainwal 

2. Desheeya Chinthana- Chandrashekara Kambara

3. Yugadharma hagu Sahitya Darshana- Keerthinatha Kurthukoti

Evaluation Pattern
 

 

CIA-1  Wikipedia - 20 Marks

CIA-2 Mid Semsester Examination- 50 Marks

CIA-3 Wikipedia - 20 Marks

End Semester Examination- 50 Marks

Attendance: 05 Marks 

MAT231 - DIFFERENTIAL EQUATIONS (2022 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 aims at introducing the students to the theory of ordinary and partial differential equations through various methods of solutions.

Course objectives​: This course will help the learner to

COBJ1. Solve first order ODE.

COBJ2. Solve higher order ODE with constant coefficients.

COBJ3. Solve second order linear differential equations with variable coefficients.

COBJ4. Form PDE and solve linear and non linear PDE’s of first order.

Course Outcome

CO1: Understand the concepts of order, degree and linearity of ODE and recognize ODEs and PDEs.

CO2: Apply multiple approaches/appropriate techniques to solve first order ODEs.

CO3: Solve second order linear differential equations by finding Complementary function and particular integrals.

CO4: Solve second order linear differential equations with variable coefficients by different methods such as if part of the integral is known, exactness and method of variation of parameter.

CO5: Formulation of PDE by eliminating arbitrary constants and functions, solve linear PDEs using Lagrange?s auxiliary equation and solve nonlinear PDE?s of first order by Charpit?s method.

Unit-1
Teaching Hours:20
First Order ODE's
 

Solution of ordinary differential equations of first order and first degree: Variable separable and reducible to variable separable forms, homogeneous and reducible to homogeneous forms, linear differential equations and reducible to linear differential equations, first order exact differential equations integrating factors, rules to find an integrating factor, Clairauts equation, orthogonal trajectory.

Unit-2
Teaching Hours:20
Solution for Second and Higher Order Ordinary Differential Equations
 

Linear homogeneous equations with constant coefficients, linear non-homogenous equations, the Cauchy-Euler equation, simultaneous differential equations with constant coefficients. Second order linear differential equations with variable coefficients by the following methods: (i) when a part of complementary functions is given, (ii) reducing to normal form, (iii) change of independent variable, and (iv) variation of parameters, and (v) by finding the first integral (exact equation), and the equations of the form dx/P = dy/Q = dz/R.

Unit-3
Teaching Hours:20
Partial differential equations
 

Order and degree of partial differential equations, formation of first order partial differential equations, linear partial differential equation of first order, Lagrange’s method, Charpit’s method. The classification of second order partial differential equations into elliptic, parabolic and hyperbolic through illustrations only.

Text Books And Reference Books:
  1. G. F. Simmons, Differential Equations with Applications and Historical Notes, 2nd ed., New York McGraw Hill, 2006.
  2. I. Sneddon, Elements of Partial Differential Equations, McGraw-Hill, Reprint, Courier Corporation, 2013.
Essential Reading / Recommended Reading
  1. M. D. Raisinghania, Ordinary and Partial Differential Equation, S. Chand & Co. Ltd., 18th Ed., 2015.
  2. D. G. Zill, W. S. Wright, Advanced Engineering Mathematics, 4th Ed., Jones and Bartlett Publishers, 2010.
  3. S. L. Ross, Differential Equations, 3rd Ed. (Reprint), John Wiley and Sons, 2007.
Evaluation Pattern
 

Component

Mode of Assessment

Parameters

Points

CIA I

MCQ,

Written Assignment,

Reference work, etc.,

Mastery of the core concepts

Problem solving skills

 

10

CIA II

Mid-semester Examination

Basic, conceptual and analytical knowledge of the subject

25

CIA III

Written Assignment, Project

Problem solving skills

10

Attendance

Attendance

Regularity and Punctuality

05

ESE

 

Basic, conceptual and analytical knowledge of the subject

50

Total

100

MAT251 - INTRODUCTION TO PYTHON PROGRAMMING-II (2022 Batch)

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

Course Objectives/Course Description

 

Course Description: The course Introduction to Python Programming-II is aimed at enabling the students to appreciate and understand the concepts of mathematics and statistics with the help of Python programming language. It is designed with a learner-centric approach wherein the students will acquire mastery in the subject and as well as programming skills using Python programing language as a tool.

Course objectives​: This course will help the learner to

COBJ1. Acquire programming skill in solving mathematical and statistical problems using Python.

COBJ2. Gain proficiency in using Python to solve problems related to data analysis.

Course Outcome

CO1: Acquire proficiency in using Python as a programming language.

CO2: Demonstrate the use of Python to understand and interpret the some concepts in Statistics.

CO3: Visualize the data graphically using the module matplotlib.

CO4: Apply Python to understand probability.

Unit-1
Teaching Hours:30
Proposed Topics
 
  1. Lists, the random module, split, join, list comprehensions, and two-dimensional lists.
  2. Python data structure, TUPLE - Pack, Unpack, Compare, Slicing, Delete, and Key.
  3. Python Dictionary (Dict): Update, Cmp, Len, Sort, Copy, Items, and str.
  4. Reading data from Files-Reading Data from a CSV file.
  5. Visualizing Data with Graphs- Plotting with matplotlib-2D plots- plotting the scalar and vector fields, Scatter Plots, and Graph customization.
  6. Describing Data with Statistics- Mean, Median, Mode, Creating a frequency table, Dispersion, Variance, and standard deviation.
  7. Correlation between two data sets- Correlation Coefficient, Regression.
  8. Playing with Sets and Probability- Set construction, Subset, Superset, Powerset, Probability, and Generating Random Numbers.
  9. Introduction to Sympy.
Text Books And Reference Books:
  1. H. Brian, A Practical Introduction to Python Programming, Creative Commons Attribution, 2012.
  2. A. Saha, Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!, No Starch Press, 2015.
Essential Reading / Recommended Reading
  1. T. Hall, J. P. Stacey, Python 3 for absolute beginners, Apress, 2010.
  2. M. Lutz, Learning python: Powerful object-oriented programming, O'Reilly Media, Inc., 2013.
Evaluation Pattern

The course is evaluated based on continuous internal assessments (CIA) and the lab e-record. The parameters for evaluation under each component and the mode of assessment are given below.

Component

Parameter

Mode of  Assessment

Maximum

Points

CIA I

Mastery of the  concepts

Lab Assignments

20

CIA II

Conceptual clarity and analytical skills

Lab Exam - I

10

Lab Record

Systematic documentation of the lab sessions.

e-Record work

07

Attendance

Regularity and Punctuality

Lab attendance

03

95-100% : 3

90-94%   : 2

85-89%   : 1

CIA III

Proficiency in executing the commands appropriately,.

Lab Exam - II

10

Total

50

SAN221 - SANSKRIT (2022 Batch)

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

Course Objectives/Course Description

 

1.     Jatakamala of  Aryashura is the text prescribed and approved in the B.O.S.  The selected chapters will be taught in the classroom.  And also the selected portion from the Grammar.  This book not only teaches the morals to the students but also to learn Sanskrit easily Students can make the sentences with simple words.   It also makes the student to think how the same topic is thought by different students in different situations their understanding is really intelligent.  The students can learn different qualities by studying this course. 

Course Outcome

CO1: To Specify the classification and characteristics of fables

CO2: To understand the text in detail with application.

CO3: To learn in depth the morals of the fables

CO4: To learn human behaviour.

CO5: To acquire a comprehension of compounding syllables.

Unit-1
Teaching Hours:35
Jatakamala 1 vyaagree jaathakam and shibi jaathakam
 

1.      Jatakamala of  Aryashura is the text prescribed and approved in the B.O.S.  The selected chapters will be taught in the classroom.  And also the selected portion from the Grammar.  This book not only teaches the morals to the students but also to learn Sanskrit easily Students can make the sentences with simple words.   It also makes the student to think how the same topic is thought by different students in different situations their understanding is really intelligent.  The students can learn different qualities by studying this course. 

Unit-2
Teaching Hours:5
Grammar
 

Samasa prakaranam

Unit-3
Teaching Hours:5
Language skills
 

Translate the given passage from English to Sanskrit

Writing an artilcle in Sanskrit on the given topics

Text Books And Reference Books:

1.      Jatakamala of  Aryashura

2.      

3.      Sanskrit Grammar by M.R. Kale.

Essential Reading / Recommended Reading

Samskruta sahithya parampare by Acharya Baladeva Upadyaya translated by Ramachandra shastri.

Evaluation Pattern

CIA 1 Wikipedia assignments

CIA 2 Mid semester examinations

CIA 3 Wikipedia assignments

STA231 - PROBABILITY DISTRIBUTIONS (2022 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 designed to teach the basic concepts of random variables and its generation functions. It also gives a brief idea about standard probability distributions and how they are applied in real time situations.

Course Outcome

CO1: Demonstrate the random variables and its functions

CO2: Compute the expectations for random variable functions and generating functions.

CO3: Demonstrate various discrete and continuous distributions and their usage

Unit-1
Teaching Hours:10
Random variables
 

Definition - Discrete and continuous random variables - Probability Mass function and Probability density function - Distribution function and its properties - Two dimension random variables: Discrete and continuous type - Joint Density function - Marginal and conditional Probability Mass function and Probability Density function - independence of variables with illustration.

Unit-2
Teaching Hours:10
Mathematical Expectation and Generating functions
 

Expectation of single and bivariate random variables and its properties - Conditional expectations - Moments and Cumulants - Moment Generating Function - Cumulant Generating Function and Characteristic Function - Uniqueness theorem (without proof) along with applications.

Unit-3
Teaching Hours:15
Discrete Probability distributions
 

Discrete distributions: Uniform - Bernoulli - Binomial - Poisson - geometric - negative binomial - Hypergeometric distributions along with their properties - limiting/approximation cases and applications (without proofs).

Unit-4
Teaching Hours:15
Continuous Probability distributions
 

Continuous distributions: Uniform - Normal - Exponential - Cauchy - Beta - Gamma distributions along with their properties - limiting/approximation cases and applications (Without proofs).

Unit-5
Teaching Hours:10
Limiting Theorems
 

Chebyshev’s inequality - Week Law of Large numbers - Strong Law of Large numbers and their applications - Central Limit Theorem for i.i.d variates and its application - De-Moivre Laplace theorem.

Text Books And Reference Books:

Gupta S.C and Kapoor V.K, Fundamentals of Mathematical Statistics, 12th edition, Sultan Chand & Sons, New Delhi, 2020.

Essential Reading / Recommended Reading

1. Mukhopadhyay P, Mathematical Statistics, Books and Allied (P) Ltd, Kolkata, 2015.

2. Rohatgi V.K and Saleh E, An Introduction to Probability and Statistics, 3rd edition, John Wiley & Sons Inc., New Jersey, 2015.

3. Montgomery D.C and Runger G.C, Applied Statistics and Probability for Engineers, Wiley India, New Delhi, 2018.

4. Mood A.M, Graybill F.A and Boes D.C, Introduction to the Theory of Statistics, 3rd edition, McGraw Hill, New Delhi, 2017.

Evaluation Pattern

Component                                         Marks

CIA I                                            :        10      

Mid Semester Examination (CIA II) :        25

CIA III                                         :        10      

Attendance                                   :        05

End Semester Exam                      :        50

Total                                            :       100

STA251 - PROBABILITY DISTRIBUTIONS PRACTICAL (2022 Batch)

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

Course Objectives/Course Description

 

The course is designed to provide a practical exposure to the students in generating random variables and its generating function using EXCEL. Also to calculate probabilities using discrete and continuous distributions with EXCEL.

Course Outcome

CO1: Demonstrate to work with Pivot tables using EXCEL

CO2: Compute probabilities using distributions for real world problems using EXCEL

Unit-1
Teaching Hours:30
Practical Assignments using Excel:
 

1. Creation and manipulation of pivot tables

2. Setting different pivot table options and applying pivot styles

3. Construction of probability distribution and distribution function using Excel (for discrete random variable)

4. Construction of random variables and generating its mean and variance using Excel functions

5. Verification of the properties of mathematical expectation using excel functions

6. Verification of the properties of variance using excel functions

7. Generating random numbers from Bernoulli distribution using the Data Analysis Tools Pack

8. Generation of probability mass function and distribution function of binomial distribution using Excel function

9. Generation of random numbers for binomial and Poisson distributions using Data Analysis Tool Pack and descriptive analysis

10. Generation of random numbers for Normal distribution using Excel function

11. Fitting binomial distribution (for given values of n and p) and Poisson distribution (for given value of λ)

12. Fit a normal distribution for the given parameters

Text Books And Reference Books:

McFedries P, Excel Data Analysis Visual Blueprint, 4th Edition, Wiley India Pvt Ltd, New Delhi, 2013.

Essential Reading / Recommended Reading

Paul M, Microsoft Excel 2019 formulas and functions, Pearson Eduction, 2019.

Evaluation Pattern

Component                                Marks

CIA of experiments                    :   80

Test 1                                       :   25

Test 2                                       :   35

Viva-voce Exam                         :   10

Total                                         :   150

STA271 - R PROGRAMMING (2022 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 used to provide an introduction to R, statistical language and environment that provides more flexible graph capabilities than other popular statistical 

packages. The course also covers the basics of R for statistical computation, exploratory analysis, and modeling.

Course Outcome

CO1: Demonstrate data handling using statistical tool R

CO2: Perform graphical representation of data using R

CO3: Demonstrate the usage of R for an introductory statistics

Unit-1
Teaching Hours:12
Introduction
 

Introduction and preliminaries - The R environment - R and statistics - R commands - Data permanency and removing objects - Simple manipulations - Numbers and Vectors - Objects- modes and attributes - Ordered and unordered Factors - Arrays and Matrices.

Unit-2
Teaching Hours:12
Lists and Data Frames
 

Constructing and modifying lists - Making Data frames - attach( ) and detach( ) - Working with data frame - Reading data from files using read.table( ) - scan( ) - Grouping - Conditional execution: if statements - Repetitive execution: for loops - repeat and while loops - Functions.

Unit-3
Teaching Hours:12
Data Exploration for Univariate and Bivariate Data
 

Univariate Data - Handling categorical data and numerical data using R - Bivariate Data - Handling bivariate categorical data using R - Categorical vs. Numerical - Numerical vs. Numerical - Pearson correlation - Spearman rank correlation.

Unit-4
Teaching Hours:12
Data Exploration for Multivariate Data
 

Multivariate Data - Storing multivariate data in R data frames - Accessing and manipulating data in R data frames - view multivariate data - apply( ) family functions - apply( ) - sapply( ) - lapply( ) - tapply( ) - dplyr package - select( ) - filter( ) - arrange( ) - rename( ) - mutate( ) - group_by( ) - %>%, summarize( ).

Unit-5
Teaching Hours:12
Data Visualization and Correlation
 

lattice package in R - 1D, 2D, 3D plots using lattice - ggplot2 package in R- 1D, 2D, 3D plots using ggplot2.

Text Books And Reference Books:

1. W. N. Venables, D. M. Smith, An Introduction to R, R Core Team, version 4.0.3, 2020. 

2. John Verzani, Using R for Introductory Statistics, 2nd Edition, CRC Press, Taylor & Francis Group, 2018.

Essential Reading / Recommended Reading

1. Seema Acharya, Data Analytics Using R, CRC Press, Taylor & Francis Group, 2018.

2. Michael Lavine, Introduction to Statistical Thought, Orange Grove Books, 2013.

3. J. D. Long and Paul Teetor, R Cookbook, 2nd Edition, O’Reilly Media Inc., 2019.

Evaluation Pattern

 

Semester

 

CIA1

 

CIA2

 

CIA3

 

CIA4

Attendance (Max.

Marks)

 

Total Marks

 

II

Regular Lab Exercises Evaluation (35 Marks)

 

Assignment (20 Marks)

Data Analysis

(20 Marks)

Case Study Report

(20 Marks)

 

05

 

100

TAM221 - TAMIL (2022 Batch)

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

Course Objectives/Course Description

 

This paper has a few collections from the ‘Individual Poems’ of Avvaiyar and Kalamegam to show the students the ingenuity with the poets of the period mixing  intelligence with creativity. The