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B-TECH in Computer Science Engineering at VELS Institute of Science, Technology & Advanced Studies (VISTAS)
Chennai, Tamil Nadu
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About the Specialization
What is Computer Science Engineering at VELS Institute of Science, Technology & Advanced Studies (VISTAS) Chennai?
This Computer Science Engineering (CSE) program at Vels Institute of Science Technology and Advanced Studies (VISTAS) focuses on equipping students with foundational and advanced knowledge in computing. The curriculum is designed to meet the evolving demands of the Indian IT industry, covering areas from programming fundamentals to cutting-edge technologies like AI, IoT, and Cloud Computing. It aims to develop skilled professionals ready for diverse roles in software development, data science, and IT infrastructure.
Who Should Apply?
This program is ideal for fresh graduates with a strong aptitude for mathematics and logical reasoning, seeking entry into the dynamic field of information technology. It also caters to individuals passionate about problem-solving, innovation, and building scalable technological solutions. Students with a 10+2 background in Mathematics, Physics, and Chemistry/Biology/Biotechnology/Technical Vocational subjects, aspiring to a career in software engineering or digital innovation, will find this program highly beneficial.
Why Choose This Course?
Graduates of this program can expect to secure roles as Software Developers, Data Analysts, Cloud Engineers, Cybersecurity Specialists, or AI/ML Engineers in India. Entry-level salaries typically range from INR 3-6 LPA, growing significantly with experience. The program fosters critical thinking and practical skills, aligning with industry certifications in areas like cloud platforms, data science, and cybersecurity, enabling strong growth trajectories in leading Indian and multinational companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Consistently practice programming concepts learned in Problem Solving, Python, and C Programming. Focus on logic building, data structures, and algorithms through daily coding challenges and structured exercises.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef, NPTEL courses on basic programming
Career Connection
Strong programming fundamentals are essential for all software development and competitive programming interviews, forming the bedrock for higher-level courses and entry-level developer roles.
Develop Strong Analytical and Mathematical Skills- (Semester 1-2)
Pay close attention to Engineering Mathematics and Discrete Mathematics. Solve a variety of problems to build logical reasoning and analytical abilities, which are crucial for algorithm design and understanding complex systems.
Tools & Resources
Khan Academy, NPTEL, university textbooks, peer study groups
Career Connection
These skills are vital for understanding complex algorithms, data analysis, and cracking technical aptitude tests in recruitment processes for various tech roles.
Engage in Peer Learning and Collaborative Projects- (Semester 1-2)
Form study groups with peers to discuss concepts, clarify doubts, and work on small programming assignments together. Participate in campus coding clubs or tech communities to learn from others and build a network.
Tools & Resources
GitHub for collaborative coding, Discord/WhatsApp groups for discussions, college hackathon events
Career Connection
Enhances teamwork, communication, and problem-solving skills, which are highly valued in professional software development environments and large-scale project execution.
Intermediate Stage
Build a Strong Project Portfolio- (Semester 3-5)
Actively work on mini-projects using technologies like OOP (Java/C++), DBMS, and Web Technology. Apply theoretical knowledge to create functional applications, even small ones, to demonstrate practical skills.
Tools & Resources
GitHub, VS Code, specific IDEs for Java/C++, MySQL/PostgreSQL, various web development frameworks
Career Connection
A strong project portfolio is crucial for showcasing practical skills to recruiters and stands as tangible evidence of your abilities during interviews for internships and placements.
Seek Early Industry Exposure through Internships/Workshops- (Semester 3-5)
Look for summer internships or participate in industry-sponsored workshops, even if unpaid, to gain exposure to real-world software development practices, tools, and team environments.
Tools & Resources
LinkedIn, Internshala, college placement cell, industry networking events
Career Connection
Provides invaluable practical experience, helps in understanding career paths, builds professional networks, and significantly boosts resume value for future placements.
Specialize and Deepen Knowledge in Key Areas- (Semester 4-5)
Identify areas of interest (e.g., AI/ML, Cybersecurity, Web Development) and take relevant professional electives. Supplement coursework with online certifications and advanced projects in chosen areas.
Tools & Resources
Coursera, Udemy, NPTEL, specific platforms for ML (TensorFlow, PyTorch) or Web (React, Angular)
Career Connection
Developing specialized skills makes you a more attractive candidate for specific roles, leading to better job opportunities and higher earning potential in your chosen field.
Advanced Stage
Focus on Major Project and Research- (Semester 7-8)
Dedicate significant effort to the final year project (Project Work I & II). Choose a challenging problem, conduct thorough research, implement a robust solution, and aim for a publication or patent where feasible.
Tools & Resources
Research papers (IEEE, ACM), advanced development tools, collaboration with faculty mentors
Career Connection
A high-quality major project demonstrates advanced problem-solving, technical depth, and innovation, which are critical for placements, higher studies, or entrepreneurship opportunities.
Intensive Placement Preparation and Skill Refinement- (Semester 6-8)
Engage in rigorous interview preparation, including mock interviews, aptitude tests, and technical rounds. Refine soft skills like communication, presentation, and negotiation. Regularly update your resume and LinkedIn profile.
Tools & Resources
Placement training cells, mock interview platforms, company-specific preparation materials, professional resume builders
Career Connection
Directly leads to successful placements by equipping students with the confidence and skills needed to navigate the recruitment process effectively and secure desirable job offers.
Undertake Industrial Training/Internship for Real-World Experience- (Semester 8 (or earlier as per institutional guidance))
Utilize the mandatory industrial training/internship in the final year to gain in-depth exposure to industry practices, work on live projects, and understand corporate culture. Focus on contributing meaningfully to the organization.
Tools & Resources
Industry-standard tools and technologies relevant to the internship, mentorship from industry professionals
Career Connection
Provides invaluable hands-on experience, networking opportunities, and often converts into pre-placement offers, significantly easing the transition from academia to the professional world.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2 with a minimum aggregate of 45% (40% for SC/ST/OBC) in Mathematics, Physics & Chemistry/Biotechnology/Biology/Technical Vocational subjects.
Duration: 4 years / 8 semesters
Credits: 169 Credits
Assessment: Internal: 40% (for Theory), 60% (for Practical), External: 60% (for Theory), 40% (for Practical)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS22101 | Professional English – I | Humanities and Social Sciences | 3 | Communication Skills, Grammar and Usage, Reading Comprehension, Writing Practice, Listening and Speaking |
| MA22101 | Engineering Mathematics – I | Basic Science | 4 | Matrices, Differential Calculus, Functions of Several Variables, Multiple Integrals, Vector Calculus |
| PH22101 | Engineering Physics | Basic Science | 3 | Properties of Matter, Oscillations and Waves, Quantum Physics, Lasers and Fiber Optics, Crystal Physics |
| CY22101 | Engineering Chemistry | Basic Science | 3 | Water Technology, Electrochemistry, Corrosion and its Control, Fuels and Combustion, Engineering Materials |
| GE22101 | Problem Solving and Python Programming | Engineering Science | 3 | Problem Solving Techniques, Python Language Fundamentals, Control Structures and Functions, Data Structures in Python, Object-Oriented Programming Basics |
| GE22102 | Engineering Graphics | Engineering Science | 3 | Drafting Standards, Orthographic Projections, Sectional Views, Isometric Projections, Development of Surfaces |
| GE221L1 | Problem Solving and Python Programming Laboratory | Engineering Science - Lab | 2 | Python Programming Exercises, Data Structures Implementation, Debugging Techniques, Conditional and Looping Constructs, Function and Module Usage |
| PH221L1 | Physics and Chemistry Laboratory | Basic Science - Lab | 2 | Properties of Matter Experiments, Optical Phenomena Measurements, Electrochemistry Practical, Water Analysis Techniques, pH and Conductivity Determinations |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS22201 | Professional English – II | Humanities and Social Sciences | 3 | Advanced Reading Skills, Technical Report Writing, Presentation Skills, Group Discussion Strategies, Professional Communication Etiquette |
| MA22201 | Engineering Mathematics – II | Basic Science | 4 | Ordinary Differential Equations, Laplace Transforms, Vector Spaces, Complex Numbers, Analytic Functions |
| CS22201 | Data Structures | Program Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal, Hashing and Collision Resolution |
| GE22201 | Digital Logic and Computer Design | Engineering Science | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters, Computer Organization Fundamentals |
| GE22202 | C Programming | Engineering Science | 3 | C Language Fundamentals, Control Statements and Loops, Functions and Scope, Arrays and Pointers, Structures, Unions, and File Handling |
| GE222L1 | Digital Logic and Computer Design Laboratory | Engineering Science - Lab | 2 | Logic Gates Implementation, Combinational Circuit Design, Sequential Circuit Design, Multiplexers and Demultiplexers, Basic Microprocessor Interfacing |
| CS222L1 | Data Structures Laboratory | Program Core - Lab | 2 | Linked List Operations, Stack and Queue Implementations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Techniques |
| GE222L2 | C Programming Laboratory | Engineering Science - Lab | 2 | C Programming Exercises, Pointers and Array Manipulation, Structures and Unions Usage, File Operations in C, Debugging C Programs |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA22301 | Probability and Queueing Theory | Basic Science | 4 | Probability Axioms and Theorems, Random Variables and Distributions, Stochastic Processes, Markov Chains, Queueing Models (M/M/1, M/M/C) |
| CS22301 | Object Oriented Programming | Program Core | 3 | OOP Concepts and Principles, Classes, Objects, and Methods, Inheritance and Polymorphism, Abstraction and Encapsulation, Exception Handling and File I/O |
| CS22302 | Database Management Systems | Program Core | 3 | DBMS Architecture and Data Models, Entity-Relationship (ER) Model, Relational Algebra and Calculus, Structured Query Language (SQL), Normalization and Transaction Management |
| CS22303 | Design and Analysis of Algorithms | Program Core | 3 | Algorithm Analysis Techniques, Divide and Conquer Algorithms, Dynamic Programming, Greedy Algorithms, Graph Algorithms and NP-Completeness |
| CS22304 | Operating Systems | Program Core | 3 | OS Structure and Functions, Process Management and Scheduling, Memory Management Techniques, Virtual Memory and Paging, File Systems and I/O Management |
| CS22305 | Computer Architecture | Program Core | 3 | CPU Organization and Design, Instruction Set Architecture (ISA), Pipelining and Parallelism, Memory Hierarchy and Caches, Input/Output Organization |
| CS223L1 | Object Oriented Programming Laboratory | Program Core - Lab | 2 | OOP Implementation in Java/C++, Inheritance and Polymorphism Exercises, Abstract Classes and Interfaces, Exception Handling Practices, File Input/Output Operations |
| CS223L2 | Database Management Systems Laboratory | Program Core - Lab | 2 | SQL Query Writing, Schema Design and Implementation, Data Manipulation Language (DML), Stored Procedures and Triggers, Database Connectivity (JDBC/ODBC) |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA22401 | Discrete Mathematics | Basic Science | 4 | Mathematical Logic, Set Theory and Relations, Functions and Recurrence Relations, Graph Theory, Algebraic Structures and Combinatorics |
| CS22401 | Theory of Computation | Program Core | 3 | Finite Automata and Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability and Computability |
| CS22402 | Microprocessors and Microcontrollers | Program Core | 3 | 8085/8086 Microprocessor Architecture, Instruction Set and Assembly Language, Memory and I/O Interfacing, Interrupt Handling, Microcontroller Basics (e.g., 8051) |
| CS22403 | Computer Networks | Program Core | 3 | Network Models (OSI, TCP/IP), Data Link Layer Protocols, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| CS22404 | Web Technology | Program Core | 3 | HTML and CSS, JavaScript for Client-Side Scripting, XML and AJAX, Web Servers and Web Application Architecture, Introduction to Web Security |
| PE224XX | Professional Elective – I | Professional Elective | 3 | |
| CS224L1 | Microprocessors and Microcontrollers Laboratory | Program Core - Lab | 2 | Assembly Language Programming, Interfacing with Peripherals, Timer/Counter Operations, Interrupt Handling Programming, Microcontroller based Projects |
| CS224L2 | Computer Networks Laboratory | Program Core - Lab | 2 | Network Configuration Commands, Socket Programming (TCP/UDP), Network Traffic Analysis Tools, Router and Switch Configuration, Protocol Implementation Exercises |
| CS224L3 | Web Technology Laboratory | Program Core - Lab | 2 | HTML/CSS Page Design, JavaScript Client-Side Interactions, Dynamic Web Pages with DOM, Web Form Validation, Database Connectivity for Web Apps |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS22501 | Professional Ethics and Human Values | Humanities and Social Sciences | 3 | Human Values and Morals, Engineering Ethics, Ethical Theories and Models, Global Ethical Issues, Corporate Social Responsibility |
| CS22501 | Artificial Intelligence | Program Core | 3 | AI Fundamentals and History, Search Algorithms (DFS, BFS, A*), Knowledge Representation and Reasoning, Introduction to Machine Learning, Natural Language Processing Basics |
| CS22502 | Software Engineering | Program Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Strategies, Software Project Management |
| CS22503 | Compiler Design | Program Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| PE225XX | Professional Elective – II | Professional Elective | 3 | |
| OE225XX | Open Elective – I | Open Elective | 3 | |
| CS225L1 | Artificial Intelligence Laboratory | Program Core - Lab | 2 | Python for AI and ML, Search Algorithm Implementation, Machine Learning Libraries Usage, Natural Language Processing Tools, Knowledge Representation Systems |
| CS225L2 | Software Engineering Laboratory | Program Core - Lab | 2 | Requirements Elicitation and Analysis, UML Diagramming Tools, Software Design Patterns, Unit and Integration Testing, Configuration Management |
| CS225P1 | Mini Project - I | Project Work | 1 | Project Planning and Scoping, Design and Implementation, Testing and Debugging, Documentation and Reporting, Presentation Skills |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GE22601 | Environmental Science and Engineering | Basic Science | 3 | Ecosystems and Biodiversity, Environmental Pollution and Control, Waste Management Strategies, Global Environmental Issues, Sustainable Development |
| CS22601 | Mobile Application Development | Program Core | 3 | Mobile OS Architectures (Android/iOS), UI/UX Design for Mobile, Android App Development Basics, Data Storage in Mobile Apps, Mobile Networking and APIs |
| CS22602 | Internet of Things | Program Core | 3 | IoT Architecture and Protocols, Sensors, Actuators, and Microcontrollers, IoT Communication Technologies, Cloud Platforms for IoT, IoT Security and Privacy |
| CS22603 | Cryptography and Network Security | Program Core | 3 | Classical Encryption Techniques, Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions and Digital Signatures, Network Security (Firewalls, IDS) |
| PE226XX | Professional Elective – III | Professional Elective | 3 | |
| OE226XX | Open Elective – II | Open Elective | 3 | |
| CS226L1 | Mobile Application Development Laboratory | Program Core - Lab | 2 | Android Studio/Xcode Usage, UI Layouts and Widgets, Event Handling and Listeners, Database Integration (SQLite), API Integration and Web Services |
| CS226L2 | Internet of Things Laboratory | Program Core - Lab | 2 | Sensor Interfacing with Microcontrollers, IoT Device Programming, Data Transmission Protocols, Cloud Platform Integration, IoT Project Development |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HS22701 | Professional Readiness for Innovation and Entrepreneurship | Humanities and Social Sciences | 3 | Entrepreneurial Mindset, Business Idea Generation, Business Plan Development, Startup Funding and Legal Aspects, Innovation and Design Thinking |
| CS22701 | Big Data Analytics | Program Core | 3 | Big Data Concepts and Challenges, Hadoop Ecosystem, MapReduce Programming Model, Spark for Data Processing, Data Warehousing and Visualization |
| CS22702 | Cloud Computing | Program Core | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization Technologies, Cloud Security Challenges, Cloud Storage and Networking |
| PE227XX | Professional Elective – IV | Professional Elective | 3 | |
| PE227XX | Professional Elective – V | Professional Elective | 3 | |
| OE227XX | Open Elective – III | Open Elective | 3 | |
| CS227P1 | Project Work – I | Project Work | 3 | Problem Identification and Scope, Literature Survey and Research, System Design and Architecture, Prototype Development, Progress Reporting and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS228P1 | Project Work – II | Project Work | 10 | Final System Development, Testing and Validation, Comprehensive Documentation, Thesis Writing, Project Defense and Presentation |
| PE228XX | Professional Elective – VI | Professional Elective | 3 | |
| OE228XX | Open Elective – IV | Open Elective | 3 | |
| GE228V1 | Internship / Industrial Training | Project Work | 2 | Real-world Industry Exposure, Application of Technical Skills, Professional Communication, Teamwork and Collaboration, Internship Report Preparation |
