Syllabus for
BSc (Computer Science, Mathematics/Honours/Honours with Research)
Academic Year  (2024)

Course Objectives

The course objectives of Digital Computer Fundamentals typically aim to provide students with a foundational understanding of the principles, components, and operation of digital computers including binary number systems, logic gates, Boolean algebra, and digital circuits. Also, The course provides the fundamentals of C programming which covers Data types and variables, control structures, functions. These objectives aim to equip students with a solid foundation in C programming, preparing them for further study or employment in fields such as software development, system programming, and embedded systems development.

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, Coding – BCD, Gray and ASCII.  Boolean Algebra -Boolean operations and expressions, Laws and rules of Boolean algebra, DE Morgan’s Theorem, Boolean expressions, Simplification of Boolean expression.

Data type Declaration.  The Decision Control Structure - The if - if-else- Nested if-else statements. Decisions Using switch - The Loop Control Structure While Loop - for Loop - break Statement - continue Statement- do-while Loop.

Lab Exercises: -

Program to implement conditional statements.

Program to implement the concepts of while loop, for and do while loops.

Program to implement the switch and nested switch statements

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.
Lab Exercises: -

Program to implement 1D array concept and 2D array concepts

program to implement multidimensional array

Program based on string concepts.

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.

Lab Exercises: -

Program to implement functions.

Program demonstrating recursion functions.

Program to implement pointer expression

Introduction to macros, Structures - Declaring a Structure - Accessing Structure Elements - Storing structure elements and Unions.

Lab Exercises: -

Program to demonstrate call by value and call by reference.

Program to demonstrate structures and union.

Program to implement nested structures

[1] M. Morris Mano, “Digital Logic and Computer Design”, ISBN:9789332586048, Published:2017 (Reprint 2023), 

[2] Brian Kernighan and Dennis Ritchie, “The C Programming Language”, ISBN: 978-0131103627, Second Edition (reprint 2023).

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

ESE - 50%

Course Objectives

This course is designed to introduce the students to web technologies in Hyper Text Mark-up Language, Cascade Style Sheet, JavaScript and XML for interactive web applications that use rich user interfaces and also understand the server-side web technologies for creating dynamic web applications. Students will learn the concepts of web site planning and hosting. This course will help them to create an interactive website with great look and functionality.

Internet and web Technologies- Client/Server model -Web Search Engine-Web Services - Features of Web 3.0 - HTML5- HTML Basic Tags - Attributes - Formatting - Comments - Images - Tables - Lists - Text Links - Image links - Frames - Backgrounds - HTML Color codes / schemes - HTML Forms

Lab Exercise:

1. HTML Program to Demonstrate basic web page with Headings, Paragraphs various formatting options and background / text color code

2. HTML Program to Demonstrate Tables - Lists - Frames and HTML Forms

Cascading style sheet –Benefits –CSS version History-Syntax-External-internal-inline-single style-multiple style-value lengths and percentage-ID selector –Class Selector-group Selector – universal selector- Color-background-cursor-list-Box model-display positioning-floats;

CSS - Backgrounds - Fonts - Text - Images - Links - Tables - Borders - Margin - Lists.

Lab Exercise:

3. Web Page to Demonstrate to Implement Various Types of CSS 

4. Web Page to Demonstrate a web page for your curriculum vitae using CSS

Java Script (JS Script) 

Introduction to Java Script (Jscript) – Installation – Syntax – Variables – Operators – If else – Switch case – Loop controls: for loop, do while loop; Functions – Events – Cookies – Page redirect – JavaScript Objects: Arrays, Date HTML DOM;

Lab Exercises: 

5. Program to demonstrate Jscript variables and operators

6.Program to demonstrate loop controls – decision controls and functions

PHP Introduction – Installation version information – Environment setup – Variable types – Constants – Operator Types – Decision Making – Loop controls : for, do while ; Arrays – Strings – Web concepts – GET and POST methods – Functions – Cookies 

Lab Exercises:

7.Program to demonstrate PHP variable types – operators Decision and loop controls

8.Program to demonstrate GET and POST methods

Introduction to MySQL, Installation version information – Connecting to MySQL database – PHP Introduction – Installation version information – Environment setup – Variable types – Constants – Operator Types – Decision Making – Loop controls : for, do while ; Arrays – Strings – Web concepts – GET and POST methods – Functions – Cookies 

Lab Exercises:

9.Program to demonstrate PHP variable types – operators Decision and loop controls

10.Program to demonstrate GET and POST methods

[2] HTML 5 Black Book (Covers CSS3, JavaScript, XML, XHTML, AJAX, PHP, jQuery), DT Editorial Services, Dreamtech Press, 2nd Edition, 2016 

 [3] Jeremy McPeak and Paul Wilton,  “Beginning JavaScript”, Wrox publication

[2] David McFarland, O’REILLY , “CSS 3 Missing Manual”, 2nd edition , 2014

CIA- 50%

Data analysis is a crucial skill in various fields, from business and finance to research and academia. This course provides a comprehensive introduction to data analysis using Spreadsheet (Excel). Students will learn fundamental data analysis techniques, including data manipulation, visualization, and interpretation, using powerful features and functions. Provides students with hands-on experience and skills with a spreadsheet. Students will learn how to plan, create, and program spreadsheets for common business applications. It is appropriate for accounting and business majors, programmers and spreadsheet application developers. 

Exploring Data Types - Number Formatting - Working with Rows and Columns - Cells and Ranges - Working with Tables - Sorting and filtering a table - Applying a theme - Using AutoRecover - Password-Protection - Exploring Excel Templates

Lab Exercises:

1.Simple arithmetic

2. Text functions, Date and Time functions

Using operators in formulas - Using functions in formulas - Using Formulas in Tables - Text Functions - Advanced Text Formulas - Date-Related Worksheet Functions - Time-Related Worksheet Functions - Working with Single-Cell Array Formulas 

Lab Exercises:

3. Logical operations

4.  Decision making conditional statements

Creating and Customizing a Chart - Choosing a chart type - Experimenting with different styles - Experimenting with different layouts - Line charts - Pie charts - XY (scatter) charts - Bubble charts - Radar charts - Histogram charts - Pareto charts - Waterfall charts - Box & whisker charts - Treemap charts

Lab Exercises:

5. Look up functions

6. Working with arrays

Importing Data - Data Cleanup Techniques - Exporting Data - Creating a Pivot Table Automatically Creating a Pivot Table - Manually Working with Nonnumeric Data - Creating Pivot Charts - Types of What-If Analyses - Data Sources for Get & Transform 

Lab Exercises:

7. Exploring different types of charts

8. Working with Pivot table 

Introducing VBA Macros - Creating VBA Macros - Recording VBA macros  - Examining the macro - Testing the macro - Editing the macro - Writing VBA code - How VBA works - Objects and collections - Properties - Methods - Variables 

Lab Exercises:

9. Data analysis for a use case 

10. Creation of VBA Macro

2. Slaying Excel Dragons, Mike Girvin, Holy Macro! Books, 1st edition, 2016.

ESE 50%

Course Description:Calculus is a discipline of mathematics that studies limits, motion, and rates of change. Proficiency in calculus is vital for math students for a better understanding of the subject and the advancement of the field. This course offers a modern introduction to calculus with a conceptual knowledge of the underlying mathematical concepts as its primary objective.

Course objectives​: This course will help the learner to

COBJ1:  develop a solid understanding of the concepts in differential calculus such as limit, continuity and differentiability and their inter-relationships.

COBJ2: to acquire the ability to think logically and precisely; understand, apply and generalise mathematical ideas.

COBJ3. recognize the appropriate tools of calculus to solve applied problems.

Rates of change and tangent lines to curves, limit of a function and limit laws, the precise definition of a limit, one-sided limits, continuity, limits involving infinity; asymptotes of graphs, derivative at a point, derivative as a function, differentiation rules, derivative as a rate of change, rules of differentiation.

Extreme values of functions on closed intervals, Rolle's theorem, mean value theorem, monotonic functions and the first derivative test, indeterminate forms, Taylor and Maclaurin series, curvature, and radius of curvature.

Functions of several variables, limits and continuity in higher dimensions, partial derivatives, the chain rule, Jacobians, directional derivatives and gradient vectors, tangent planes and differentials, extreme values and saddle points, Lagrange multipliers, Taylor’s formula for two variables, partial derivatives with constrained variables.

The course is designed to develop skills to design and analyze simple linear and nonlinear data structures. It strengthens the ability to identify and apply the suitable data structure for the given real-world problem. It enables students to gain knowledge in practical applications of data structures.

Introduction to data structures- Abstract Data Type - Arrays – Introduction -Array Operations, Linear Search - Iterative Binary Search – Recursions - Recursive Binary Search. 

Lab Exercises:

1. Menu driven program for Inserting, deleting an element into one dimensional array

2. Menu driven program to implement linear search (sentinel) and binary search

ntroduction: Pointers - Using Dynamically Allocated Storage - Singly Linked Lists - Polynomials, Representing Polynomials as Singly Linked Lists - Circularly Linked Lists - Doubly Linked Lists.

Lab Exercises:

1. Menu driven program to implement singly linked list insertion.

2. Menu driven program to implement singly linked list deletion.

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

Applications: Evaluation of Expressions, Evaluating Postfix Expressions, Infix to Postfix.

Lab Exercises:

1. Menu driven program to implement stack operations using an array and linked list

2. Menu driven program to implement queue operations using an array and linked list

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

Binary Search Trees: Introduction - Searching a Binary Search Tree - Inserting, Deleting an Element - Limitations of Binary Search Tree.

Lab Exercises:

1. Menu driven program for Binary Tree creation and Traversals

Sorting: Bubble Sort – Selection Sort – Insertion Sort – Quick Sort.

Graphs: Introduction – Definitions and terminology – Graph representations – Depth First Search – Breadth First Search

Lab Exercises:

1. Menu driven program to implement bubble sort and Selection sort.

2. Menu driven program to implement Insertion sort 

3. Menu driven program to implement Quick sort.

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

Web Resources:

https://www.programiz.com/dsa

https://in.coursera.org/specializations/data-structures-algorithms 

CIA 50%

The objective of this course is to provide a comprehensive knowledge of operating system concepts, System structure, Process management, Deadlock, Memory management and File system along with the practical exposure by using C – Programming language for the working principles of operating system. 

Introduction - What Operating Systems - Computer-System Organization - Computer-System Architecture - Operating-System Operations - Resource Management - Security and Protection - Virtualization - Distributed Systems - Kernel Data Structures - Computing Environments - Free and Open -Source Operating Systems

OPERATING – SYSTEM STRUCTURES

Operating-System Services - User and Operating-System Interface - System Calls - System Services - Linkers and Loaders - Why Applications Are Operating-System Specific - Operating-System Design and Implementation - Operating-System Structure - Building and Booting an Operating System - Operating-System Debugging 

Lab Exercises:

1. Basic system calls.

2. Inter-process communication using pipes.

Process Concept - Process Scheduling - Operations on Processes – Inter process Communication - IPC in Shared-Memory Systems - IPC in Message-Passing Systems - Examples of IPC Systems - Communication in Client – Server Systems 

CPU SCHEDULING

Basic Concepts - Scheduling Criteria - Scheduling Algorithms - Thread Scheduling - Multi-Processor Scheduling - Real-Time CPU Scheduling - Operating-System Examples - Algorithm Evaluation 

Lab Exercises:

1. First-Come, First-Served (FCFS) Scheduling

2. Shortest-Job-Next (SJN) Scheduling

Synchronization Tools: Background - The Critical-Section Problem - Peterson’s Solution - Hardware Support for Synchronization - Mutex Locks – Semaphores 

Deadlocks: System Model - Deadlock in Multithreaded Applications - Deadlock Characterization - Methods for Handling Deadlocks - Deadlock Prevention - Deadlock Avoidance - Deadlock Detection - Recovery from Deadlock

Lab Exercises:

1. Priority Scheduling

2. Shortest Remaining Time

Main memory: Background - Contiguous Memory Allocation - Paging - Structure of the Page Table - Swapping 

Virtual Memory: Background - Demand Paging - Copy-on-Write - Page Replacement -  Allocation of Frames – Thrashing - Memory Compression

Lab Exercises:

1. Round Robin(RR) Scheduling

2. Critical Section problem – Process synchronization

File-System Interface: File Concept - Access Methods - Directory Structure 

File-System Implementation: File-System Structure - File-System Operations - Directory Implementation - Allocation Methods - Free-Space Management - Efficiency and Performance

Security: The Security Problem - Program Threats - System and Network Threats Cryptography as a Security Tool - User Authentication

1. Memory Management

2. File system

1. Operating System Concepts, Silberschatz, P.B. Galvin and G. Gagne, Wiley India, New Delhi, 10th Edition, 2018. 

3rd Edition, 2007

CIA 50%

• 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.

Presentation skills

Witches’ Loaves

O Henry

Report writing

In the Height of Fashion-Henry Lawson

Resume Writing

The Story of Mumbai Dabbawalas- ShivaniPandita

If

By Rudyard Kipling

Interview skills and CV writing

Who were the Shudras?

By Dr Ambedkar

Developing arguments- debating

Dhauli

By JayantaMahapatra

Developing arguments- debating

email writing

An Occurrence at Owl Creek Bridge by Ambrose Bierce

Truth in the time of Social Media' by Girish Balachandran

MSE-50

CIA3- 20

ESE- 50

Course Description: This course aims at developing the ability for logical arguments and perform mathematical computations. It also helps the students to understand the theory of equations and matrices and develop a solid foundation in mathematics.

Course Objectives​: This course will help the learner to

COBJ1: Develop logical foundations to understand and construct logical arguments to support or refute mathematical assertions.

COBJ2: Understand the techniques to solve polynomial equations of higher degrees.

COBJ3: Gain knowledge in matrix algebra, spectral theory, and their applications.

Propositions, logical operators, truth tables, implications and equivalences, tautology and contradictions, rules of inference, predicates, quantifiers, nested quantifiers, arguments, formal proof methods and strategies.

General properties of equations, solving equations, relations between roots and coefficients, symmetric functions of roots, transformations of equations, Descarte’s rule of signs, Cardon’s method for cubic equations, solutions to biquadratic equations.

Types of Matrices: Idempotent, nilpotent Hermitian, skew-Hermitian, and unitary matrices and their properties. Elementary row operations, rank, inverse of a matrix using row operations, Echelon forms, normal forms, system of homogeneous and non-homogeneous equations, Cayley Hamilton theorem, eigenvalues and eigenvectors.

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

3.      H. S. Hall, S. A. Knight, Higher Algebra, Culcutta: Sreeedhar Prakashani, 1957.

4.      A. Singh, Introduction to Matrix Theory, Switzerland: Springer, 2016. 

5.      L. E. Dickson, First Course in Theory of Equations, New York: John Wiley & Sons, 1922.

6.   S. Narayan and P.K. Mittal, Textbook of Matrices, 10th ed., New Delhi: S Chand and Co., 2004.

Course Description:This course aims at introducing the students to the methods of solving ordinary and partial differential equations.

Course objectives​: This course will help the learner to

COBJ1. Solve first and higher order ordinary differential equations.

COBJ2. Form PDE and solve linear and nonlinear PDE’s of the first order

COBJ3. Apply the concepts of ODE and PDE to solve real-world problems.

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.

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. Applications of ODEs: Growth-Decay, Chemical Reactions, Continuous Compounding of Interest, Series Circuit, and Logistic Growth.

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.

Course Description:

This course aims at introducing the programming language Python and its uses in solving problems on discrete mathematics and differential equations.

Course Objectives​: This course will help the learner to

COBJ1. gain proficiency in using Python for programming.
COBJ2. acquire skills in usage of suitable functions/packages of Python to solve mathematical problems.
COBJ3. acquaint with Sympy and Numpy packages for solving concepts of calculus, linear algebra and Differential equations.
COBJ4. illustrates use of built-in functions of Pandas and Matplotlib packages for visualizing of data and plotting of graphs.

Installation, IDE, variables, built-in functions, input and output, modules and packages, data types and data structures, use of mathematical operators and mathematical functions, programming structures (conditional structure, the for loop, the while loop, nested statements)

Use of Sympy package, Symbols, Calculus, Differential Equations, Series expressions, Linear and non-linear equations, List, Tuples and Arrays.

Standard plots (2D, 3D), Scatter plots, Slope fields, Vector fields, Contour plots, stream lines, Manipulating and data visualizing data with Pandas, Mini Project

The objective of this Java programming course is to equip students with a comprehensive understanding of Java language fundamentals, object-oriented programming principles, and practical application development skills. Through hands-on projects and exercises, students will learn to design, implement, and debug Java programs, covering topics such as data types, control structures, classes, inheritance, polymorphism, exception handling, and file I/O. Additionally, the course aims to cultivate problem-solving abilities, software design proficiency, and collaboration skills essential for success in the dynamic field of software development. By the end of the course, students will be proficient in Java programming and capable of creating robust, efficient, and maintainable Java applications.

INTRODUCTION TO OOPS & JAVA

The History and Evolution of Java, Concepts of Object-oriented programming – Benefits of OOP – History and Evolution of Java – Features of java – Java environment – Java tokens– Constant – Variables – Data types– Operators– Control Structures and Arrays.

Lab Exercises:

1.Implement Various decision making and looping statements

2. Implement single and multi-dimensional arrays

Class fundamentals–objects –methods –constructors –overloading methods and constructors. Access modifiers –Command line arguments– Inheritance & its types– super–this–static and final keywords–Abstract class–String class

Lab Exercises:

3. Implement the concept of class, data members, member functions and access specifiers.

4. Implement the concept of array of objects with constructor and function overloading

5. Implement the concept of inheritance, this, super, abstract and final keywords.

PACKAGES, INTERFACES AND I/O

Defining packages–access protection–importing packages–defining–implementing interfaces– Nested interfaces– Inheritance and interfaces. –use static methods in an interface. 

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

Lab Exercises:

6. Implement the concept of package and interface.

7. Implement the concepts of streams.

EXCEPTIONAL HANDLING AND INTRODUCTION TO MULTITHREADING.

Fundamentals of exceptional handling – types of exceptions–uncaught exceptions – using try–catch–throw–throws–finally–creating user defined exceptions–Introduction to multithreading– The Java Thread model–Thread priorities and Synchronization.

Lab Exercises:

8. Implement the concept of Exception Handing in java.

9. Implement the concept of Multithreading, thread priorities and synchronization

SWING and JDBC

Introducing swing –  the origins and design philosophy of swing –  components and containers – layout managers –  swing event handling – use of JButton– work with JTextField – create a JCheckBox – work with JList –Database Programming – Connecting to and querying a database –Connecting to the database – Creating a Statement for executing query - Executing a query - Processing a Query’s ResultSet – Prepared Statements.

Lab Exercises:

10. Implement the concept of swing event handling

11. Implement the concept of JDBC.

1. Herbert Schildt, ‘Java: The Complete Reference”, Oracle Press, Twelfth Edition, 2022 

2. Herbert Schildt, “Java™ A Beginner’s Guide”, McGraw-Hill Education, 8th Edition, 2021 

1. Kathy Sierra, Bert Bates, Trisha Gee,Head First Java, 3rd Edition,2022 .

2. Cay S. Horstmann, Core Java Volume-1 Fundamentals, Tenth edition, 2016, Pearson Education.

ESE - 50%

 The course begins with an overview of Python's syntax, data types, and control structures. Students will learn how to write basic Python programs to solve simple problems, manipulate strings, work with lists, tuples, dictionaries, and sets, and use control flow statements such as if-else, loops, and functions. Students will delve deeper into advanced topics such as object-oriented programming (OOP), file I/O, exception handling, and modules.  students will have gained the skills and knowledge necessary to write Python programs independently, understand and modify existing Python code, and apply Python programming techniques to real-world problems.

Overview of Data Analysis and Data Science, Need for data science, Role and skills required for a data scientist, Technologies used in data analytics, Data analytics tools. Overview of artificial intelligence and machine learning.Division of machine learning tasks - supervised and unsupervised learning.

Introduction to Python language, Advantages of Python in comparison with other Languages, Characteristics of Python, Python for Data Analysis, Suitability of Python in data manipulation and analysis, Data types, control structures, advanced data structures. Python and its data structures,Sequences, Mapping and Sets- Dictionaries- Functions - Lists and Mutability String Operations.

Program 1: Demonstrate the Data handling by using lists, sets, tuples, and dictionaries and perform the string operations.

Descriptive statistics: mean, median, mode, variance, etc.

Histograms, box plots, scatter plots, Correlation analysis and heatmaps, Univariate and bivariate analysis.

Program 2: Data visualization using Numpy/Panda/Matplotlib /Seaborn.

Overview of machine learning algorithms, suitability of machine learning algorithms in data science problems and analytics, Application of machine learning in feature selection, Generalization of data using machine learning, Building predictive model by training with data and model evaluation, Need of dimensionality reduction of data.

Program 3: Demonstrate Data Indexing and Data Sorting using NumPy

Formation of a data set, development of training data, testing data, and validation data, cross validation. Analysis of a problem and its relevant dataset - data analysis, modelling and evaluation of this case including the processes of Regression, clustering, feature selection, dimensionality reduction, classification, cross-validation etc -implementation in Python 

Program 4: Demonstrate handling of missing data using Pandas.

 [2]. Andreas C Muller, Sarah Guido, Introduction to machine learning with Python, O’Reilly,1st edition,2016.

 [3].Jake VanderPlas, Python Data Science Handbook - Essential Tools for Working with       Data, O’Reilly,1st edition,2016.

 [4].Joel Grus, Data Science from Scratch: First Principles with Python, O’Reilly, 1st Edition,2015

[2].Robert Keane, Data Analytics: Master the Techniques for Data Science, Big Data  and Data Analytics, CreateSpace Independent Publishing Platform, 2017

[3].Herbert Jones, Data Analytics: An Essential Beginners Guide to Data Mining, Data Collection, Big Data Analytics for Business, and Business Intelligence  Concepts,  Create  Space Independent Publishing Platform, 2018

[4].Anil Maheswari, Data Analytics, McGraw-Hill Education, First Edition, 2017.

ESE - 50 Marks

The students of BSc CM and BSc CS program have to undertake a Summer Internship for a period of four weeks during the summer vacation at the end of the II semester in the areas of Computer Science / Mathematics / Statistics / Information Technology. The summer internship is for 100 marks; 4 credits and carries two components; Internship report evaluation and Viva Voce. These marks shall reflect in the second semester marks card. During the internship period, a faculty guide / mentor shall be allotted to a student to monitor the progress of the internship.

Unit sytstem is not followed/not available for Summer Internship.

Contents of Summer Internship Report

Chapter 1 – Introduction to the Organization

Profile of the organization (including evolution and awards and recognition)

Vision, Mission, Goals of the organization

Chapter 2 – Project/Task Description:

Background of the internship (Company/Organization, Department, Project)

Objectives and goals of the internship

Scope and limitations, Key projects and initiatives

Detailed description of the project or tasks assigned during the internship

Technologies used (programming languages, frameworks, tools, etc.)

Challenges faced and how they were addressed

Chapter 3 – Methodology, Results and achievements

Approach/methods used to accomplish the assigned tasks

Development process (if applicable), Tools and techniques utilized

Accomplishments during the internship, Key outcomes of the project/task.

Detailed technical aspects of the project. Metrics and measurements of success (if applicable). Code snippets (if appropriate).

Information Technology (How technology is used to deliver the best? )

SWOC analysis of the organization (Based on observations by the student, backed by facts and examples, must include strengths, strategies and success factors, weaknesses, opportunities and challenges)

Chapter 4 – Internship Experience

Skills acquired during the internship

Lessons learned, Personal and professional development

Challenges encountered during the internship, Strategies and solutions implemented to overcome challenges. 

Chapter 5 – Conclusion: Summary of the internship experience

MOOC COURSE EVALUATION RUBRICS

Programme Objectives - The curriculum of the French course offered as II language to II BA/BSc/BCom students is designed to suit the present-day requirements where the emphasis is more on the Oral communication. Beginning with day-to-day situations with its dialogues the stress is on the spoken word. The part on French civilization offers one useful insight on life and living in France.

Course Description -French as a second language in the UG program. The method< Adomania> consists of a student's book and an activity book, both included in the digital manual. It consists of 8 units. The structure of each unit begins with basic communication aspects, leading to basic expressions, vocabulary, cultural aspects, functional and practical French stage by stage in each unit. This< manual> covers all the necessary global parameters.

 Course Objectives

·       To develop basic and communication skills sharpen oral and written skills.

·       To enhance knowledge on French culture.

·       To enrich the learner’s vocabulary

·       To enable learners to engage in and discuss simple topics with ease

Question Paper Pattern

·       Section A - Test of linguistic ability through grammar components – 10 marks

·       Section B - Test of translating abilities and comprehension, short answers - 20 marks

·       Section C - Test of writing skills / Originality in letter writing, dialogue and essay  – 20 marks

CIA -1 10 marks

CIA- 2  50 marks

CIA –3  10 marks

ESE   50 marks.

Course Description: This course mainly deals with the listening, speaking, writing, reading modules of basic German by using different pedagogies and effective strategies in order to meet the requirements of various situations. This course also enables the students to have cross-cultural competencies and cognitive skills.

 Course Objectives:

·       To achieve language proficiency skills on the basic level

·       To develop the skills demonstrated in the ability to interpret simple texts

·       To attain some transcultural competency: an awareness of cross-cultural differences between societies.

·       To develop the ability to formulate basic questions. 

Grüßen und verabschieden, sich und andere vorstellen, über sich und andere sprechen, Zahlen bis 20, Telefonnummer und E-mail-Adresse nennen, buchstabieren, über Länder und Sprachen sprechen

über Hobbys, sich verabreden, Berufe und Arbeitszeiten sprechen, Wochentage benennen, über Arbeit, Zahlen ab 20 nennnen, über Jahreszeiten sprechen, ein Profil im Internet erstellen. Artikel der, die, das, verben und Personalpronomen II, Ja-/Nein- Frage, Plural der Substantive, die verben haben und sein.

Plätze und Gebäude benennen, fragen zu Orten stellen, Texte einer Bildergeschichte zuordnen, Dinge erfragen, Verkehrsmittel benennen, nach dem Weg fragen und einen Weg beschreiben, Texte mit internationalen Wörtern verstehen, Artikel lernen. Bestimmter Artikel: der, die, das, unbestimmter Artikel: ein, eine, ein, Negationsartikel: kein, keine, kein, Imperativ mit Sie.

            über essen sprechen, einen Einkauf planen, Gespräche beim Essen führen, mit W-fragen Texte verstehen, Wörter ordnen und lernen, Positionen im Satz, Akkusativ, Verben mit Akkusativ, Modal verben.

2.     Deutsch Sprachlehre für Ausländer and Glossar Deutsch-English by Heinz Griesbach-Dora Schulz, Max Hueber publishers

3.     Deutsch für den Beruf text book by adelheid h, Max Hueber publishers

4.     Deutsch für den Beruf work book by adelheid h, Max Hueber publishers

5.     Grammatik intensiv trainer A1 Deutsch – Langenscheidt by Mark lester, larry beason, langenscheid publishers

6.     Fit für Goethe Zetifikat A1 start Deutsch 1 by Johaness Gerbes, Frau ke van der Werff, Hueber publishers

7.     Learn german through games and activities level1 Deutsch als Fremdsprache/Kursbuch und Arbeitsbuch and CD by Sabine Emmerich & Federica Colombo, eli publishers

CIA 2 - 25 Marks 

CIA 3 - 10 Marks 

Attendance: 5 Marks 

End Semester: 50 Marks  

This is a thirty hours course. Students will be exposed to the use of Hindi Language both in oral and written forms. During the course, Hindi alphabets, words, simple sentences, general vocabulary and basic grammar will be taught. At the end of the course students will be able to read, write and speak the Language

Students will be trained in basic HIndi Grammar

Vacbulary developing excercises

Basic conversation skill development in Hindi

2.     Adhunik Hindi Nibandh                     by: BhuvaneshwarichandranSaksena.

3.     Cambridge introduction to                 by: Morley, Davi

Creative writing

2.     Adhunik Hindi Nibandh                     by: BhuvaneshwarichandranSaksena.

3.     Cambridge introduction to                 by: Morley, Davi

Creative writing

Course name- Basic Hindi

Course Code-HIN181-3

Paper I – Hindi

Max. Time: 2 Hrs                                                                              Max. Marks: 50

End-Semester Examination

Course name- Basic Hindi

Course Code-HIN181-3

Paper I – Hindi

Max. Time: 2 Hrs                                                                                          Max. Marks: 50

The detailed text book “Samkaleen Kavita Sanchay” edited by Dr. Sebastian K.A & Dr. Deepak Kumar Gond is an anthology of Modern Poems written by representative poets of Hindi Literature. The poems reflect on the social, environmental, cultural and political issues which are prevalent in our society since the medieval period. Cultural art forms of India, ispart of the syllabus. Since translation is a significant area in language and literature, as well as practice of it in the syllabus.

 Students will be exposed to the Indian culture through poetry. Through translation, students can understand different languages, literature and cultures. Famous cultural art forms of India will help the students to know more about the diverse cultures of India.

Paper I - Poetry, Cultural Art forms

An anthology of Hindi Poems edited by Dr Deepak Kumar Gond& Dr Sebastian K A

Cultural art forms of India. 

Translation practice from English to Hindi

                               edited by: Dr. Sebastian K A & Dr. Deepak Kumar Gond            20 Hrs.

Level of knowledge: Analytical

2. SaralSubodh Hindi Vyakaran,                                 By: MotilalChaturvedi. Vinod

3. AnuvadEvam Sanchar –                                          Dr.PooranchandTandon, Rajpal and Son’s

4. AnuvadVignan                                                         By:Bholanath Tiwari

5. Anuvad Kala                                                            By: N.E VishwanathIyer

3 Sem – BA/ B.Sc

Course Code-HIN281-3

Paper I – Hindi

Max. Time: 2 Hrs                                                                                          Max. Marks: 50

End-Semester Examination  

3 Sem – BA/ B.Sc

Course Code-HIN281-3

Paper I – Hindi

Max. Time: 2Hrs                                                                               Max. Marks : 50

Kannada is offered to students of  III Semester BA/B.Sc. Courses, as a second language for fifty marks. The students of this semester will study a Play belong to  modern fictions and non fictions.  The syllabus will help  them to learn and write essay writings.  The Syllabus is well structured with local, national and global needs of the students, imbibes human values, proffessional ethics, sustainability and  various language skills. 

1.      Kerege Haara- Folk Poetry

2.      Kalki- Kuvempu 

3.      Nimmodanidduu Nimmantaagade – K S Nissar Ahamad

4.      Nalavattelara Swaatantrya - Siddalingaiah

1.      Maleraayana Madadi- Folk Story

2.      Venkatashaamiya Pranaya – Maasti Venkatesh Ayyangaar

3.       Naavu Chirangeevigalu – Russian Story

1.      Namma Preetiya Criket- K. Satyanaarayana

2.      Maastarara Makkalu- Jayanth Kaaikini

3.      Bhaaratada Modala  Mahilaa Shikshaki – Kiran M. Gaajanuru

4.      Yuvabhaarata Vruddha America – Manu Baligaar

1.      Essay Writing

2.   2.   Adhunika Kannada Nataka- K. Marulasiddappa

    3.Samagra Kannada Sahitya Charithre

2. Ooru Keeri- Siddalingaiah

Wikipedia article creation

This course is concerned with the fundamentals of mathematical modeling. It deals with finding solution to real world problems by transforming into mathematical models using differential equations. The coverage includes mathematical modeling through first order, second order and system of ordinary differential equations.

Introduction, classification of mathematical models: linear and nonlinear, deterministic and stochastic, discrete and continuous, static and dynamic models, Formulation of mathematical models with illustrations.

Population dynamics, carbon dating, Newton’s law of cooling, epidemics, economics, medicine, mixture problems, electric circuit problems, Continuous compounding of interest. Mathematical modelling using matrices and system of linear equations.

Case studies on mathematical modelling.

1. D. G. Zill and W. S. Wright, Advanced Engineering Mathematics, 4th ed., Jones and  Bartlett Publishers, 2010. 

2. J. R. Brannan and W. E. Boyce, Differential equations with boundary value problems: modern methods and applications, Wiley, 2011.

1. C. H. Edwards, D. E. Penney and D. Calvis, Differential equations and boundary value problems: computing and modelling, 3rd ed., Pearson Education Limited, 2010.

2. D. G. Zill, Differential Equations with Boundary-Value Problems, I7th ed., Cengage learning, 2008.

 This course enables the students to understand the basic techniques and theories of real Analysis.

Course Objectives​: This course will help the learner to

COBJ 1. examine the convergence or divergence of sequences and series.

COBJ 2. understand the different types of convergence and their properties.

COBJ 3. identify the region of convergence of a power series.

Open sets, closed sets, closure of a set, countable and uncountable sets, topology of real line. Sequences: Definition of Sequences, limit of a sequence, algebra of limits of a sequence, convergent, divergent, and oscillatory sequences, problems thereon. Bounded sequences, Monotonic sequences and their properties, Cauchy sequence.

Infinite series, Cauchy convergence criterion for series, geometric series, comparison test, convergence of p-series, D'Alembert's Ratio test, Raabe's test, Cauchy's Root test, alternating series, Leibnitz’s test. Definition and examples of absolute and conditional convergence.

Sequences and series of functions, Pointwise and uniform convergence. Mn - test, M-test, Statements of the results about uniform convergence. Power series and radius of convergence.

1. R.G. Bartle and D.R Sherbert, Introduction to Real Analysis, John Wiley and Sons (Asia) P. Ltd., 2000.

2. E. Fischer, Intermediate Real Analysis ,1 st ed.(Reprint), Springer Verlag, 2012.

3. K.A. Ross, Elementary Analysis- The Theory of Calculus Series- Undergraduate Texts in Mathematics, Springer Verlag, 2003.

4. S Narayana and M.D. Raisinghania, Elements of Real Analysis, Revised ed., S. Chand & Company Ltd, 2011.

5. T. M. Apostol, Calculus (Vol. I), John Wiley and Sons (Asia) P. Ltd., 2002.

6. https://archive.nptel.ac.in/courses/111/106/111106142/

“Aula International 1” A1/A2 . Is designed to develop listening,

speaking, writing, and reading skills in Spanish as well as cultural competency in the

Hispanic world. This course is intended for students with no prior knowledge of Spanish. 

This method leads easy way to communicate and to carry out tasks in Spanish.

Course Objectives: “Aula International 1” A1/A2’. General objective are more specific to

define the linguistic knowledge with the help of which the learners will implement various

skills such as to understand, to speak, to interact and to write.

o Salutation and expressions

o Learn to introduce ourselves and friends.

o Alphabets

o Profession

o Numbers

• Learning to introduce each other
• identifying genders and number(singular and plural)
•  Articles(definite and indefinite)

o Introducing group of verbs in present tense

o Conjugating the verbs

o Usage of prepositions in the phrase

o Using subject personal pronouns with the verbs

o Usage of comparative

o Describing places

o Expressing existence and location

o Speaking about the weather

o Some usage of Hay verbs (there is/ there are)

o Differentiating the verb “to be”

1. Rosetta Stone, Babbel, Rocket Languages, Pimsleur, Brainscape, Busuu, Duolingo.

CIA 2 - 25 Marks 

CIA 3 - 10 Marks 

Attendance : 5 Marks 

End Semester : 50 Marks

The Database Management System (DBMS) course introduces students to the fundamental concepts, principles, and practices involved in managing and manipulating data efficiently and effectively within an organization. This course provides a comprehensive understanding of database systems, their design, implementation, and maintenance, which are essential for modern information management.

The Software Engineering course provides students with a comprehensive understanding of the principles, methodologies, and best practices involved in developing high-quality software systems. This course emphasizes the systematic approach to software development, focusing on the entire software lifecycle from requirements gathering to maintenance.

Overview of database systems and software engineering – evolution of database systems and software engineering principles (includes pitfalls of traditional systems) – importance, goals, and applications in modern systems of database system, and software engineering - software engineering ethics - crisis and myths.

DBMS architecture - Data Models - DBMS Languages (DDL, DML, DQL, DCL, TCL) – Schemas – Classification of Database Management Systems - Functional Dependencies and Normalization (1NF, 2NF, 3NF, BCNF, 4NF, 5NF) for Relational Databases – ER Diagram - ACID properties - Transaction Management and Concurrency Control.

SQL data definition and data types - specifying constraints in SQL - SQL functions - Group by statements – where clause - Sub queries – Views – Triggers - Relational Algebra and Calculus. SDLC models (build and fix model, waterfall model, prototyping model, iterative enhancement model, evolutionary development model, spiral model, and rapid application development model) – selection of a life cycle model.

Requirement Engineering – feasibility study – requirement elicitation – use case diagram - requirement analysis – DFD (data flow diagram) – requirement documentation – SRS (Software Requirement Specification) – requirement validation – software project planning – COCOMO model – software design – coupling – cohesion – software testing – types of testing – software maintenance life cycle.

Application development project integrating dbms and software engineering (eg. Online store management system) – Analysis of case studies showcasing successful integration of databases in software engineering (eg. Uber’s use of real time data processing).

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

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

[3] Pankaj Jalote, Software Engineering: A Precise Approach, Wiley India, 2010.

[4] Stephen R. Schach, Software Engineering, Tata McGraw-Hill Publishing Company Limited, 2007.

ESE: 50%

The Mobile Application Development course offers an in-depth exploration of the principles, techniques, and best practices involved in creating mobile applications for android platforms. This course is designed to equip students with the essential skills and knowledge required to develop functional, user-friendly, and visually appealing mobile applications. Students will learn fundamentals of mobile application development, including user interface design, programming languages, software development kits (SDKs), and application deployment. They will learn how to utilize industry-standard tools and technologies to build cross-platform and native applications tailored to meet specific user needs and preferences.

History of Mobile Apps, Trends in Market - Web App Vs Mobile App - Mobile OS. Introduction to  Android and Kotlin: Kotlin Basics – variables - Functions. First Android App – Setup Android Studio - Deploying the app: Running and Debugging app in Android Emulator.

1. Display Text and Image.

2. Implement Functions.

Kotlin Fundamentals: Classes and Objects - Inheritance. Activity: Introduction to Activity - Activity Lifecycle – Logging. Layouts in Android - Types of Layouts, Multiple activities and Intents.

3. Intents

4. Activity Lifecycle

5. Input Controls

6. Image Views

 Input controls:Text Box, Radio Button, Check Box, Command Button. Using Basic Views- Using Image Views to Display Pictures.

7. Fragment Lifecycle

8. Menu Implementation

Using Picker Views -Using List Views to Display Long Lists - Fragments: Introduction - Lifecycle- Task and Back Stack. Android App Architecture - View Model - Data Binding – Live Data- Transform Live Data. Menus - Types of Menu.

Displaying lists with RecyclerView. Store Data-Room Persistency Library-Asynchronous program-Coroutines-Testing Databases.

9. Recyclerview

10. Sharedpreference

[2] Kotlin for Android App Development.Sommerhoff, P. United Kingdom: Pearson Education 2018.

[2] Nagy, Robert. Simplifying Application Development with Kotlin Multiplatform Mobile: Write Robust Native Applications for IOS and Android Efficiently. United Kingdom, Packt Publishing, 2022.

ESE - 50%

Programme Objectives - The curriculum of the French course offered as II language to II BA/BSc/BCom students is designed to suit the present-day requirements where the emphasis is more on the Oral communication. Beginning with day-to-day situations with its dialogues the stress is on the spoken word. The part on French civilization offers one useful insight on life and living in France.

Course Description -French as a second language in the UG program. The method< Adomania> consists of a student's book and an activity book, both included in the digital manual. It consists of 8 units. The structure of each unit begins with basic communication aspects, leading to basic expressions, vocabulary, cultural aspects, functional and practical French stage by stage in each unit. This< manual> covers all the necessary global parameters.

 Course Objectives

·       To develop basic and communication skills sharpen oral and written skills.

·       To enhance knowledge on French culture.

·       To enrich the learner’s vocabulary

·       To enable learners to engage in and discuss simple topics with ease

Textbook : Adomania 1 Methode de Français A1

Le Robert et Nathan, Conjugaison, English Edition

Question Paper Pattern

·       Section A - Test of linguistic ability through grammar components – 10 marks

·       Section B - Test of translating abilities and comprehension, short answers - 20 marks

·       Section C - Test of writing skills / Originality in letter writing, dialogue and essay  – 20 marks

CIA -1 10 marks

CIA- 2  50 marks

CIA –3  10 marks

ESE   50 marks.

Course Description: This course mainly deals with the listening, speaking, writing, reading modules of basic German by using different pedagogies and effective strategies in order to meet the requirements of various situations. This course also enables the students to have cross-cultural competencies and cognitive skills.

Course Objectives:

• ·       To achieve language proficiency skills on the medium level

·       To develop the skills demonstrated in the ability to interpret simple texts

·       To attain some transcultural competency: an awareness of cross-cultural differences between societies.

• ·       To develop the ability to formulate questions

die Uhrzeit verstehen und nennen Zeitangaben machen über Familie sprechen | sich verabreden einen Termin telefonisch vereinbaren sich für eine Verspätung entschuldigen und darauf reagieren. Possessiveartikel: mein, dein,..,Zeitangaben mit am, um , von.....bis, Modalverben im Satz: Satzklammer, Modalverben müssen, können und  wollen.