Understanding the SRKR CSE syllabus is essential for students planning to pursue a Bachelor of Technology in Computer Science Engineering at SRKR Engineering College under the R23 Regulations. This guide provides a complete breakdown of all semesters, subjects, credit structure, course objectives, outcomes, and preparation tips, ensuring you never feel lost.

Whether you’re a first-year fresher, an aspirant preparing for admission, or a parent planning your child’s academic journey — this article will serve as your go-to resource for the full SRKR CSE syllabus.

Why This Guide Is Important

• Covers all 8 semesters of the SRKR CSE syllabus
• Includes course outcomes (COs) and program outcomes (POs)
• Designed for SEO ranking and information depth
• Easy language for students at all levels
• Exam & preparation strategy included

Table of Contents

1. Overview of SRKR CSE Program
2. Semester-Wise Syllabus Breakdown
   • 1st Year / Semester I & II
   • 2nd Year / Semester III & IV
   • 3rd Year / Semester V & VI
   • 4th Year / Semester VII & VIII
3. Major Core Subjects & What You Will Learn
4. Electives and Professional Subjects
5. Credits, Labs & Evaluation Pattern
6. Program Outcomes (POs) & Objectives (PEOs)
7. How to Effectively Prepare for the CSE Syllabus
8. Frequently Asked Questions (FAQs)
9. Conclusion — What to Expect Next

1. Overview of SRKR CSE Program

The SRKR CSE syllabus follows the R23 Regulations for B.Tech, designed to provide an industry-aligned curriculum, emphasizing both theoretical understanding and practical knowledge.

• CSE (Computer Science Engineering) focuses on:
• Programming Languages
• Data Structures & Algorithms
• Computer Networks
• Operating Systems
• Database Management Systems
• Software Engineering
• Artificial Intelligence
• Machine Learning

Each semester includes theory, practical labs, projects, and soft skills / language courses.

Semester-Wise Syllabus Breakdown

Semester I (First Year)

Subject	Credits
Mathematics – I	4
Physics / Chemistry	4
Programming for Problem Solving	3
English / Communication Skills	3
Engineering Graphics	3
Physics / Chemistry Lab	1
Programming Lab	1

Key Learning Outcomes:

• Understand basic mathematics for engineering
• Learn fundamental programming logic
• Understand engineering drawing and visualization
• Improve communication skills

Semester II (First Year)

Subject	Credits
Mathematics – II	4
Basic Electronics Engineering	3
Workshop / Manufacturing Practices	2
Environmental Science	2
IT Tools / Computer Lab	1
Communication Lab	1

Highlights:

• Foundation in circuitry and electronics
• Hands-on engineering workshop experience
• IT Tools like MS Office, Git, GitHub basics

Semester III (Second Year)

Subject	Credits
Data Structures through C	4
Discrete Mathematics	3
Digital Logic Design	3
Computer Organization	3
Data Structures Lab	1
Logic Design Lab	1

Primary Focus:

This semester marks the true start of core CSE subjects, introducing data structures, digital logic, and organization of computers.

Semester IV (Second Year)

Subject	Credits
Algorithms	4
Operating Systems	4
Database Management Systems	3
Object Oriented Programming	3
OS Lab	1
DBMS Lab	1

Topics include:

• Sorting & Searching Algorithms
• Processes, Threads, Memory Management
• SQL and Relational Databases
• OOP Concepts with Java or C++
• Semester V (Third Year)

Subject	Credits
Computer Networks	3
Software Engineering	3
Theory of Computation	3
Elective-I	3
Mini Project	2
Professional Communication	1

This is a mix of theory and project-oriented learning. Students get exposure to networks, software life cycles, automation, and computational theory.

Semester VI (Third Year)

Subject	Credits
Compiler Design	3
Artificial Intelligence	3
Computer Graphics	3
Elective-II	3
Major Project	2
Internship / Seminar	1

Cutting-edge topics like AI, compiler internals, and graphics prepare students for advanced fields.

Semester VII (Fourth Year)

Subject	Credits
Distributed Systems	3
Big Data Analytics	3
Elective-III	3
Elective-IV	3
Project Phase I	3

This semester is geared toward research-oriented and industrial applications.

Semester VIII (Fourth Year)

Subject	Credits
Elective-V	3
Elective-VI	3
Project Phase II	6
Seminar	2

Final year focuses heavily on projects, internships and real world problem solving.

3. Major Core Subjects Breakdown

Mathematics (I & II)

Topics:

• Calculus
• Vectors
• Probability
• Differential Equations

Importance:
This sets the foundation for algorithmic thinking, problem solving, and computational analysis.

Programming for Problem Solving

Languages: C / Python
Core Concepts:

• Flowcharts & Algorithms
• Conditionals and Loops
• Functions & Recursion

Benefits:
Essential for any coding jobs, competitive exams like GATE, placements.

Data Structures & Algorithms

Key Topics:

• Arrays, Linked Lists
• Trees, Graphs
• Sorting & Searching
• Time / Space Complexity

Why It Matters:
This is the backbone of technical interviews globally.

Database Management Systems (DBMS)

Skills:

• SQL, Joins, Normalization
• ER Diagrams
• Transactions

Useful for:
Backend developers, data analysts, and system designers.

4. Electives & Professional Subjects

• Electives vary by semester and may include:
• Machine Learning
• Cloud Computing
• Cyber Security
• Mobile App Development
• IoT (Internet of Things
• Blockchain Technologies

These allow students to specialize based on interest.

5. Credits, Labs & Evaluation Pattern

Credits Structure

Total credits required for B.Tech (CSE): ~160+ Credits

Component	Percentage
Theory Exams	60%
Internal Assessments	20%
Practical Exams	20%

Evaluation includes:

• Midterms
• Assignments
• Lab Marks
• Projects
• 6. Program Outcomes (POs) & Objectives (PEOs)

Program Outcomes (POs)

After completing the SRKR CSE syllabus, students will be able to:

Apply computational thinking to solve real problems
Design efficient software systems
Communicate effectively
Work in team environments
Adapt to new technologies & tools

Program Educational Objectives (PEOs)

1. Technical Skills for Software Industry
2. Innovation and Research Aptitude
3. Ethical & Sustainable Engineering Mindset

7. How to Effectively Prepare for the CSE Syllabus

Here’s a semester-wise preparation strategy:

Semester I & II

Strengthen basics — mathematics & programming
Practice labs thoroughly
Attend workshops

Semester III & IV

Practice Data Structures daily
Build mini projects
Join coding platforms (HackerRank, LeetCode)

Semester V & VI

Focus on specialization electives
Learn tools (Git, Linux, Docker)
Work on research papers / seminars

Semester VII & VIII

Build real-time applications
Publish your resume on GitHub
Attend internships

SRKR CSE SYLLABUS – UNIT WISE (TABLE FORMAT)

Programming for Problem Solving (C Language)

Unit	Unit Name	Topics Covered
Unit I	Problem Solving & Algorithms	Problem-solving techniques, Algorithms, Flowcharts, Pseudocode, Program development steps
Unit II	C Basics	Structure of C program, Data types, Variables, Constants, Operators, Expressions
Unit III	Control Structures	Conditional statements (if, if-else, switch), Looping (for, while, do-while)
Unit IV	Functions & Arrays	Functions, Recursion, Arrays (1D & 2D), Strings
Unit V	Pointers & Structures	Pointers, Structures, Unions, File Handling

Data Structures

Unit	Unit Name	Topics Covered
Unit I	Logic & Propositions	Propositional logic, Truth tables
Unit II	Set Theory	Sets, Relations, Functions
Unit III	Combinatorics	Permutations, Combinations
Unit IV	Graph Theory	Graphs, Paths, Cycles
Unit V	Algebraic Structures	Groups, Rings, Fields

Unit	Unit Name	Topics Covered
Unit I	Number Systems	Binary, Octal, Hexadecimal
Unit II	Boolean Algebra	Laws, Theorems, Simplification
Unit III	Combinational Circuits	Adders, Subtractors, Multiplexers
Unit IV	Sequential Circuits	Flip-Flops, Counters
Unit V	Memory & PLDs	ROM, RAM, PLA, PAL

Unit	Unit Name	Topics Covered
Unit I	OS Overview	OS functions, Types, System calls
Unit II	Process Management	Processes, Threads, Scheduling
Unit III	Memory Management	Paging, Segmentation
Unit IV	File Systems	File organization, Allocation
Unit V	Deadlocks	Deadlock prevention, Detection

Unit	Unit Name	Topics Covered
Unit I	Introduction	DBMS concepts, Architecture
Unit II	ER Model	ER diagrams, Mapping
Unit III	Relational Model	Keys, Constraints
Unit IV	SQL	DDL, DML, Joins, Queries
Unit V	Transactions	ACID properties, Concurrency

Unit	Unit Name	Topics Covered
Unit I	OOP Concepts	Classes, Objects, Encapsulation
Unit II	Inheritance	Types of inheritance
Unit III	Polymorphism	Method Overloading & Overriding
Unit IV	Exception Handling	Try, Catch, Throw
Unit V	File Handling	Streams, Files

Unit	Unit Name	Topics Covered
Unit I	Network Basics	Network types, Topologies
Unit II	OSI & TCP/IP	Layer functions
Unit III	Data Link Layer	Error control, Flow control
Unit IV	Network Layer	IP, Routing algorithms
Unit V	Transport Layer	TCP, UDP, Congestion control

Unit	Unit Name	Topics Covered
Unit I	Software Process	SDLC models
Unit II	Requirements	SRS, Requirement analysis
Unit III	Design	UML diagrams
Unit IV	Testing	Black box, White box
Unit V	Maintenance	Software evolution

Unit	Unit Name	Topics Covered
Unit I	Compiler Overview	Phases of compiler
Unit II	Lexical Analysis	Tokens, Regular expressions
Unit III	Syntax Analysis	Parsing techniques
Unit IV	Semantic Analysis	Type checking
Unit V	Code Optimization	Intermediate code

Unit	Unit Name	Topics Covered
Unit I	Graphics Basics	Raster graphics
Unit II	Drawing Algorithms	Line & Circle algorithms
Unit III	2D Transformations	Translation, Rotation
Unit IV	3D Graphics	3D transformations
Unit V	Viewing	Projections

FAQ