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B-TECH in Computer Science Engineering at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Computer Science Engineering at SRM Institute of Science and Technology Chengalpattu?
This Computer Science Engineering program at SRM Institute of Science and Technology focuses on building a strong foundation in computational theories, algorithms, software development, and hardware systems. With a dynamic curriculum aligned with industry demands and NEP 2020 guidelines, it prepares students for the evolving Indian IT landscape. The program emphasizes problem-solving, innovation, and practical application, ensuring graduates are ready for diverse technological challenges.
Who Should Apply?
This program is ideal for ambitious fresh graduates passionate about technology and innovation, seeking entry into high-growth sectors like AI, cybersecurity, and cloud computing. It also caters to those aiming for careers in software development, data science, or research. Students with a strong aptitude for mathematics, logical reasoning, and a desire to create impactful technological solutions will thrive in this rigorous environment.
Why Choose This Course?
Graduates can expect robust career paths in India as Software Developers, Data Scientists, AI/ML Engineers, Cyber Security Analysts, and Cloud Architects, with entry-level salaries typically ranging from 4-8 LPA, growing significantly with experience. The program provides a solid base for advanced studies and professional certifications in areas highly valued by Indian and global tech companies, ensuring sustained growth.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to understanding core programming concepts in Python. Practice consistently on online coding platforms to build problem-solving abilities and algorithmic thinking. Focus on data types, control structures, functions, and basic data structures.
Tools & Resources
HackerRank, LeetCode, CodeChef, GeeksforGeeks, Python documentation, NPTEL courses on Programming
Career Connection
Strong fundamentals are the bedrock for all advanced CSE topics and are heavily tested in initial placement rounds for software development roles.
Excel in Engineering Mathematics- (Semester 1-2)
Build a solid mathematical foundation, particularly in calculus, linear algebra, and discrete mathematics. These are crucial for understanding algorithms, data science, and machine learning. Solve problems regularly and seek help from faculty or peers for clarity.
Tools & Resources
Khan Academy, MIT OpenCourseware, NPTEL, Practice problems from textbooks
Career Connection
Essential for roles in AI/ML, data science, algorithm design, and research-oriented positions, providing the analytical backbone.
Engage in Interdisciplinary Labs- (Semester 1-2)
Actively participate in labs for Physics, Chemistry, and Electrical/Electronics Engineering. Understand the practical applications of theoretical concepts and develop basic hardware troubleshooting skills. This broadens engineering perspective beyond pure software.
Tools & Resources
Lab manuals, Simulation software (e.g., TinkerCAD for electronics), Peer discussions
Career Connection
Fosters a holistic engineering mindset, valuable for embedded systems, IoT, and interdisciplinary projects, differentiating candidates in the job market.
Intermediate Stage
Build a Strong Data Structures & Algorithms (DSA) Portfolio- (Semester 3-4)
Master complex data structures and algorithm design techniques. Implement them in Java/Python and solve a wide range of problems on competitive programming platforms. Aim for consistent practice and participation in coding contests.
Tools & Resources
LeetCode, HackerEarth, InterviewBit, GeeksforGeeks, Cracking the Coding Interview book
Career Connection
DSA proficiency is non-negotiable for product-based companies and highly sought after by almost all tech recruiters for software development roles in India.
Develop Database and OOP Expertise- (Semester 3-4)
Gain hands-on experience with SQL for database management systems and master Object-Oriented Programming (OOP) concepts using Java. Work on mini-projects involving database interaction and modular, object-oriented design principles.
Tools & Resources
MySQL, PostgreSQL, Oracle SQL Developer, IntelliJ IDEA/Eclipse, Java official documentation
Career Connection
Crucial for backend development, full-stack roles, and any application development, forming the core of enterprise software systems.
Explore Emerging Technologies via Electives and Projects- (Semester 5)
Strategically choose professional and open electives in areas like AI, Machine Learning, Cloud Computing, or Cybersecurity. Apply this knowledge in mini-projects or through self-study, building foundational skills in a specialized domain.
Tools & Resources
Coursera, Udemy, Google Cloud/AWS certifications, Specific technology documentation (e.g., TensorFlow, Docker)
Career Connection
Helps in identifying a niche, provides an edge in specialized roles, and demonstrates proactive learning, making candidates more attractive to specific tech firms.
Advanced Stage
Undertake Industry-Relevant Project Work- (Semester 6-8)
Engage deeply in major project works, ideally industrial-oriented or research-based. Focus on solving real-world problems, collaborating with industry mentors, and documenting the entire development process rigorously. Aim for innovative solutions.
Tools & Resources
GitHub for version control, Project management tools (Jira, Trello), Relevant industry-standard technologies for project implementation
Career Connection
Projects showcase practical skills, problem-solving ability, and industry readiness, often acting as a key talking point in interviews and sometimes leading to direct job offers.
Prepare for Placements & Professional Development- (Semester 7-8)
Actively participate in career development workshops, mock interviews, and resume-building sessions offered by the institution. Network with alumni and industry professionals. Refine soft skills like presentation and group discussion.
Tools & Resources
SRM IST Career Development Centre, LinkedIn, Glassdoor, Interview preparation books
Career Connection
Directly impacts placement success, helping students secure desirable jobs in top companies and build a professional network for future career growth.
Specialized Skill Development & Certification- (Semester 7-8)
Deep dive into one or two specialized areas (e.g., MLOps, DevOps, Blockchain Development, Advanced Cybersecurity). Pursue recognized industry certifications to validate expertise and enhance employability in niche markets.
Tools & Resources
AWS Certified Developer, Microsoft Azure Certifications, Google Professional Certificates, Offensive Security Certified Professional (OSCP)
Career Connection
Provides a competitive advantage for specialized roles, often leading to higher packages and roles in cutting-edge tech domains within India and globally.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination with Physics, Chemistry, and Mathematics as compulsory subjects, obtaining a minimum of 50% aggregate marks.
Duration: 4 years / 8 semesters
Credits: 174 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GE2001 | Professional English – I | Core | 3 | Communication Skills, Listening and Speaking, Reading Comprehension, Basic Writing Skills, Grammar and Vocabulary |
| MA2001 | Engineering Mathematics – I | Core | 4 | Matrices, Differential Calculus, Functions of Several Variables, Multiple Integrals, Vector Calculus |
| PH2001 | Engineering Physics | Core | 3 | Quantum Physics, Laser Physics, Fiber Optics, Crystal Physics, Ultrasonics |
| CH2001 | Engineering Chemistry | Core | 3 | Electrochemistry, Corrosion, Instrumental Analysis, Water Technology, Polymer Chemistry |
| EE2001 | Basic Electrical and Electronics Engineering | Core | 4 | DC Circuits, AC Circuits, Semiconductor Devices, Rectifiers and Filters, Amplifiers |
| GE2002 | Engineering Graphics | Core | 3 | Engineering Curves, Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces |
| PH2002 | Physics Laboratory | Lab | 2 | Optics Experiments, Mechanics Principles, Sound and Waves, Material Properties, Basic Electronics |
| CH2002 | Chemistry Laboratory | Lab | 2 | Volumetric Analysis, Instrumental Methods, Water Quality Analysis, Corrosion Studies, Polymer Synthesis |
| GE2003 | Computer Aided Engineering Graphics Laboratory | Lab | 2 | CAD Software Basics, 2D Drafting, 3D Modeling, Assembly Drawing, Solid Modeling |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GE2004 | Professional English – II | Core | 3 | Advanced Communication, Presentation Skills, Technical Report Writing, Interview Techniques, Group Discussion Strategies |
| MA2002 | Engineering Mathematics – II | Core | 4 | Ordinary Differential Equations, Laplace Transforms, Fourier Series, Partial Differential Equations, Complex Analysis |
| CY2001 | Environmental Science and Engineering | Core | 3 | Ecosystems, Natural Resources, Environmental Pollution, Social Issues and Environment, Human Population and Environment |
| CS2001 | Programming in Python | Core | 3 | Python Fundamentals, Control Structures, Functions and Modules, Data Structures (Lists, Tuples, Dictionaries), Object-Oriented Programming in Python |
| ME2001 | Basic Mechanical Engineering | Core | 3 | Thermodynamics Basics, IC Engines, Power Transmission, Manufacturing Processes, Engineering Materials |
| ME2002 | Engineering Workshop | Lab | 2 | Carpentry, Fitting, Welding, Sheet Metal Operations, Foundry Practices |
| CS2002 | Programming in Python Laboratory | Lab | 2 | Python Programming Practice, Algorithm Implementation, Debugging Techniques, Data Manipulation, File Handling |
| GE2005 | Soft Skills – I | Core | 1 | Self-Awareness, Goal Setting, Time Management, Interpersonal Skills, Communication for Effectiveness |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA2003 | Discrete Mathematics | Core | 4 | Mathematical Logic, Set Theory, Relations and Functions, Graph Theory, Algebraic Structures |
| CS2003 | Data Structures and Algorithms | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Heaps, Graph Algorithms, Sorting and Searching Techniques |
| CS2004 | Object Oriented Programming using Java | Core | 3 | OOP Concepts, Java Fundamentals, Classes and Objects, Inheritance and Polymorphism, Exception Handling and Interfaces |
| CS2005 | Database Management Systems | Core | 3 | Relational Model, SQL Queries, E-R Diagrams, Normalization, Transaction Management |
| CS2006 | Digital Principles and System Design | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters |
| ES2001 | Professional Communication | Core | 1 | Technical Writing, Presentation Skills, Professional Ethics, Career Planning, Interview Strategies |
| CS2007 | Data Structures and Algorithms Laboratory | Lab | 2 | Implementation of Data Structures, Algorithm Design and Analysis, Problem-Solving using DSA, Efficiency Analysis, Debugging |
| CS2008 | Object Oriented Programming using Java Laboratory | Lab | 2 | Java Programming Practice, OOP Concepts Implementation, GUI Development, Exception Handling, File I/O in Java |
| CS2009 | Database Management Systems Laboratory | Lab | 2 | SQL Query Writing, Database Design, ER Diagram Implementation, Front-end Connectivity, Mini Project Development |
| GE2006 | Soft Skills – II | Core | 1 | Teamwork and Collaboration, Leadership Skills, Emotional Intelligence, Stress Management, Presentation Delivery |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA2004 | Probability and Statistics | Core | 4 | Probability Axioms, Random Variables, Probability Distributions, Sampling Theory, Hypothesis Testing and Regression |
| CS2010 | Computer Architecture and Organization | Core | 4 | CPU Organization, Instruction Sets, Pipelining, Memory Hierarchy, I/O Organization and Parallel Processing |
| CS2011 | Operating Systems | Core | 3 | OS Structures, Process Management, CPU Scheduling, Deadlock Management, Memory and File Systems |
| CS2012 | Design and Analysis of Algorithms | Core | 3 | Algorithm Design Techniques, Complexity Analysis, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| CS2013 | Microprocessors and Microcontrollers | Core | 3 | 8086 Architecture, Assembly Language Programming, Memory Interfacing, I/O Interfacing, Microcontroller Basics |
| CS2014 | Operating Systems Laboratory | Lab | 2 | Linux Commands and Shell Scripting, Process Management Implementation, CPU Scheduling Algorithms, Memory Allocation, Synchronization Techniques |
| CS2015 | Microprocessors and Microcontrollers Laboratory | Lab | 2 | Assembly Language Programming, Interfacing with Peripherals, Embedded System Applications, Timer and Interrupt Programming, Microcontroller Projects |
| CS2016 | Mini Project with Design Thinking | Project | 2 | Problem Identification, Design Thinking Process, Ideation and Prototyping, User Centered Design, Project Development Lifecycle |
| GE2007 | Soft Skills – III | Core | 1 | Critical Thinking, Problem-Solving, Decision Making, Negotiation Skills, Ethical Practices in Professionalism |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS2017 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines and Computability |
| CS2018 | Computer Networks | Core | 4 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer Protocols, Transport Layer Protocols, Application Layer Services |
| CS2019 | Artificial Intelligence | Core | 3 | AI Fundamentals, Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| PE-I | Professional Elective - I | Elective | 3 | Specific topics vary based on chosen elective |
| OE-I | Open Elective - I | Elective | 3 | Specific topics vary based on chosen elective |
| CS2020 | Computer Networks Laboratory | Lab | 2 | Network Programming, Socket Programming, Network Simulation Tools, Protocol Analysis, Packet Sniffing |
| CS2021 | Artificial Intelligence Laboratory | Lab | 2 | AI Programming (Python), Search Algorithm Implementation, Knowledge Representation Techniques, Machine Learning Library Usage, Mini AI Projects |
| CS2022 | Industrial Training / Internship | Project | 1 | Industry Exposure, Practical Skill Development, Professional Etiquette, Report Writing, Problem Solving in Industry |
| GE2008 | Soft Skills – IV | Core | 1 | Corporate Etiquette, Interview Preparation, Resume Building, Personal Branding, Professional Communication |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS2023 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| CS2024 | Web Technology | Core | 3 | HTML, CSS, JavaScript, Client-Side Scripting, Server-Side Programming, Web Frameworks, Database Integration for Web |
| PE-II | Professional Elective - II | Elective | 3 | Specific topics vary based on chosen elective |
| PE-III | Professional Elective - III | Elective | 3 | Specific topics vary based on chosen elective |
| OE-II | Open Elective - II | Elective | 3 | Specific topics vary based on chosen elective |
| CS2025 | Compiler Design Laboratory | Lab | 2 | Lexical Analyzer Implementation, Parser Development, Intermediate Code Generation, Symbol Table Management, Compiler Tools |
| CS2026 | Web Technology Laboratory | Lab | 2 | Full-Stack Web Development, Dynamic Web Applications, API Integration, Deployment Strategies, Responsive Design |
| CS2027 | Project Work – I (Industrial Oriented) | Project | 2 | Project Management, Requirements Analysis, Design and Architecture, Implementation and Testing, Industrial Problem Solving |
| CS2028 | Socially Relevant Project | Project | 1 | Problem Identification (Social Context), Community Engagement, Solution Development for Social Impact, Ethical Considerations, Sustainability Aspects |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS2029 | Cryptography and Network Security | Core | 3 | Classical Encryption Techniques, Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions and Digital Signatures, Network Security Protocols |
| PE-IV | Professional Elective - IV | Elective | 3 | Specific topics vary based on chosen elective |
| PE-V | Professional Elective - V | Elective | 3 | Specific topics vary based on chosen elective |
| OE-III | Open Elective - III | Elective | 3 | Specific topics vary based on chosen elective |
| CS2030 | Cryptography and Network Security Laboratory | Lab | 2 | Implementation of Encryption Algorithms, Network Security Tools, Vulnerability Assessment, Firewall Configuration, Digital Signature Implementation |
| CS2031 | Project Work – II (Research Oriented) | Project | 6 | Research Methodology, Literature Review, Problem Formulation, Experimental Design and Analysis, Thesis Writing and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PE-VI | Professional Elective - VI | Elective | 3 | Specific topics vary based on chosen elective |
| OE-IV | Open Elective - IV | Elective | 3 | Specific topics vary based on chosen elective |
| CS2032 | Project Work – III (Startup Incubation / Product Development) | Project | 6 | Business Plan Development, Product Lifecycle Management, Market Analysis and Strategy, Entrepreneurship Skills, Intellectual Property Rights |
