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B-TECH in Computer Science And Engineering at Indian Institute of Technology Indore
Indore, Madhya Pradesh
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About the Specialization
What is Computer Science and Engineering at Indian Institute of Technology Indore Indore?
This B.Tech Computer Science and Engineering program at IIT Indore focuses on building strong foundational knowledge and advanced skills in computing. It is designed to meet the growing demands of the Indian IT industry, which is a global hub for software development and technological innovation. The program emphasizes both theoretical rigor and practical application, preparing students for diverse roles in the tech sector.
Who Should Apply?
This program is ideal for high-achieving fresh graduates from 10+2 seeking entry into core computer science domains. It also caters to aspiring researchers and innovators with a strong aptitude for mathematics, logic, and problem-solving. Students with a keen interest in software development, data science, artificial intelligence, and cybersecurity will find this curriculum highly rewarding.
Why Choose This Course?
Graduates of this program can expect to secure positions in leading Indian and multinational tech companies as software engineers, data scientists, AI/ML engineers, and cybersecurity analysts. Entry-level salaries typically range from INR 10-25 lakhs per annum, with significant growth trajectories. The comprehensive curriculum also prepares students for higher studies (M.Tech, PhD) in India and abroad, and for entrepreneurial ventures.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Data Structures- (Semester 1-2)
Dedicate significant time in semesters 1 and 2 to rigorously understand fundamental programming concepts (e.g., Python, C++) and core data structures like arrays, linked lists, trees, and graphs. Practice consistently to build strong problem-solving skills.
Tools & Resources
GeeksforGeeks, HackerRank, LeetCode, Coursera introductory programming courses
Career Connection
A solid grasp of these fundamentals is crucial for cracking coding interviews for internships and placements at product-based companies, serving as the bedrock for all advanced CS topics.
Build a Strong Mathematical & Scientific Base- (Semester 1-2)
Focus on understanding the underlying principles in Calculus, Linear Algebra, Probability, and Physics/Chemistry. These foundational sciences provide the analytical and logical thinking necessary for complex computer science theories.
Tools & Resources
MIT OpenCourseWare (Calculus, Linear Algebra), Khan Academy, NPTEL courses for core sciences
Career Connection
This strong analytical base is essential for research roles, data science, machine learning, and understanding the theoretical underpinnings required for innovation and advanced technical positions.
Engage in Peer Learning and Collaborative Projects- (Semester 1-2)
Form study groups to discuss challenging topics, solve problems together, and work on small programming projects. Collaborative learning enhances understanding and develops teamwork skills, crucial for industry.
Tools & Resources
GitHub for collaborative coding, Campus study rooms, Departmental hackathons for beginners
Career Connection
Teamwork and effective communication are highly valued by recruiters. Collaborative projects strengthen your portfolio and demonstrate your ability to work in a professional team environment.
Intermediate Stage
Undertake Mini-Projects and Explore Electives- (Semester 3-5)
In semesters 3-5, apply theoretical knowledge by building personal or academic mini-projects in areas like web development, app development, or basic AI. Actively choose program electives that align with emerging industry trends and your interests.
Tools & Resources
GitHub Projects, Stack Overflow, Udemy/edX for specific tech stacks, Departmental project fair
Career Connection
Projects showcase your practical skills and passion, making your resume stand out for internships. Electives allow you to specialize early, aligning with specific career paths like AI/ML or cybersecurity.
Participate in Coding Competitions & Hackathons- (Semester 3-5)
Regularly participate in competitive programming challenges (CodeChef, Google Code Jam) and hackathons. This sharpens your algorithmic thinking, problem-solving under pressure, and ability to quickly prototype solutions.
Tools & Resources
CodeChef, HackerEarth, TopCoder, College-organized hackathons
Career Connection
Success in competitive programming demonstrates exceptional problem-solving abilities, which is highly attractive to top tech companies, especially for roles in software development and R&D.
Seek Mentorship and Network within the Industry- (Semester 4-5)
Actively connect with seniors, alumni, and industry professionals through LinkedIn, departmental events, and industry seminars. Seek guidance on career paths, skill development, and internship opportunities.
Tools & Resources
LinkedIn, Alumni network platforms (if available), Industry association events in Indore/Mumbai
Career Connection
Networking opens doors to internship and placement opportunities, provides insights into industry expectations, and helps build a professional support system for your career growth in India''''s tech ecosystem.
Advanced Stage
Secure and Excel in Internships- (Semester 6-7)
Focus on securing significant internships (especially in Summer breaks of 3rd year) with reputable companies, either through campus placements or off-campus applications. Treat internships as extended interview processes, delivering high-quality work.
Tools & Resources
IIT Indore Placement Cell, LinkedIn Jobs, Internshala, Company career pages
Career Connection
Internships are the primary pathway to full-time placements in India. Strong performance often leads to Pre-Placement Offers (PPOs), significantly easing your final year job search.
Undertake a Comprehensive Major Project- (Semester 7-8)
In semesters 7-8, dedicate yourself to a substantial Major Project, ideally solving a real-world problem or exploring an advanced research topic. This is your chance to apply all learned skills to create a significant portfolio piece.
Tools & Resources
Academic research papers, Industry problem statements, Advanced programming frameworks (e.g., TensorFlow, PyTorch, React)
Career Connection
A well-executed Major Project demonstrates your ability to independently conceptualize, design, and implement complex systems, crucial for R&D roles, product development, and postgraduate applications.
Refine Interview Skills and Build a Professional Brand- (Semester 7-8)
Practice aptitude tests, technical interviews (data structures, algorithms, system design), and HR interviews. Create a strong online presence with an updated LinkedIn profile, GitHub portfolio, and a professional resume. Attend mock interview sessions.
Tools & Resources
GeeksforGeeks for interview preparation, Gfg Practice, LinkedIn, Resume builders, Mock interview platforms
Career Connection
Polished interview skills and a professional brand are essential for converting placement opportunities. This prepares you for the competitive job market and ensures you can articulate your value to potential employers in India and globally.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics, Chemistry, and Mathematics (or equivalent) and successful qualification in JEE Advanced. Admission based on All India Rank in JEE Advanced.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: Varies by course (typically includes quizzes, assignments, mid-semester exams, projects), External: Varies by course (typically includes end-semester examinations, lab vivas)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Calculus | Core | 9 | Single Variable Calculus, Sequences and Series, Multivariable Calculus, Vector Calculus, Line and Surface Integrals |
| PH101 | Physics I | Core | 9 | Special Relativity, Quantum Mechanics, Atomic Physics, Statistical Mechanics, Condensed Matter Physics |
| CH101 | Chemistry I | Core | 9 | Quantum Chemistry, Thermodynamics, Chemical Kinetics, Coordination Chemistry, Organic Chemistry |
| CS101 | Introduction to Computing | Core | 9 | Computational Thinking, Python Programming, Data Types and Structures, Control Flow, Functions and Recursion, Algorithms |
| GE101 | Engineering Graphics | Core | 6 | Orthographic Projections, Isometric Projections, Sectioning, Development of Surfaces, CAD Introduction |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Linear Algebra & Differential Equations | Core | 9 | Matrices and Vector Spaces, Eigenvalues and Eigenvectors, First Order ODEs, Higher Order ODEs, Partial Differential Equations |
| PH102 | Physics II | Core | 9 | Electromagnetism, Optics, Semiconductor Physics, Laser Physics, Wave Phenomena |
| CH102 | Chemistry II | Core | 9 | Spectroscopy, Electrochemistry, Materials Science, Polymer Chemistry, Bioinorganic Chemistry |
| CS102 | Data Structures & Algorithms | Core | 9 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms, Algorithm Analysis |
| EE101 | Basic Electrical Engineering | Core | 9 | DC and AC Circuits, Network Theorems, Transformers, DC and AC Machines, Power Systems Introduction |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS201 | Object-Oriented Programming | Core | 9 | OOP Concepts (Encapsulation, Inheritance, Polymorphism), UML Diagrams, Exception Handling, Generics, Design Patterns |
| CS202 | Computer Organization & Architecture | Core | 9 | Digital Logic Circuits, Processor Design, Memory Hierarchy, Pipelining, I/O Organization |
| CS203 | Discrete Mathematics | Core | 9 | Set Theory and Logic, Combinatorics, Graph Theory, Recurrence Relations, Algebraic Structures |
| HSXXX | Humanities Elective I | Elective | 6 | Economics, Philosophy, Psychology, Sociology, Literature |
| ID201 | Design Thinking | Core | 6 | Empathize, Define, Ideate, Prototype, Test |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS204 | Operating Systems | Core | 9 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks |
| CS205 | Database Management Systems | Core | 9 | Relational Model, SQL, Database Design (ER, Normalization), Transaction Management, Concurrency Control |
| CS206 | Theory of Computation | Core | 9 | Finite Automata, Regular Languages, Context-Free Grammars, Turing Machines, Computability and Undecidability |
| MA201 | Probability & Statistics | Core | 9 | Probability Distributions, Random Variables, Statistical Inference, Hypothesis Testing, Regression Analysis |
| ID202 | Critical Thinking | Core | 6 | Logic and Argumentation, Problem-Solving, Decision Making, Bias Recognition, Ethical Reasoning |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS301 | Computer Networks | Core | 9 | OSI and TCP/IP Models, Data Link Layer, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| CS302 | Compiler Design | Core | 9 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization |
| CS303 | Artificial Intelligence | Core | 9 | Problem Solving (Search Algorithms), Knowledge Representation, Machine Learning Basics, Natural Language Processing, AI Ethics |
| CSXXX | Program Elective I | Elective | 9 | Advanced Algorithms, Parallel Computing, Web Technologies, Data Mining, Embedded Systems |
| HSXXX | Humanities Elective II | Elective | 6 | Indian History, Environmental Studies, Professional Ethics, Foreign Language, Public Administration |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS304 | Software Engineering | Core | 9 | Software Development Life Cycle, Requirements Engineering, Software Design, Testing and Maintenance, Project Management |
| CS305 | Machine Learning | Core | 9 | Supervised Learning, Unsupervised Learning, Deep Learning Basics, Reinforcement Learning, Model Evaluation |
| CSXXX | Program Elective II | Elective | 9 | Cyber Security, Cloud Computing, Big Data Analytics, Computer Graphics, Operating System Lab |
| CSXXX | Program Elective III | Elective | 9 | Digital Image Processing, Natural Language Processing, Information Retrieval, Blockchain Technology, IoT Architectures |
| CS499 | Minor Project | Project | 6 | Project Planning, System Design, Implementation, Testing and Debugging, Documentation and Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS401 | Cryptography & Network Security | Core | 9 | Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions, Digital Signatures, Network Security Protocols |
| CSXXX | Program Elective IV | Elective | 9 | Computer Vision, Reinforcement Learning, Game Theory, Human Computer Interaction, Quantum Computing |
| CSXXX | Program Elective V | Elective | 9 | Distributed Systems, Service-Oriented Architecture, High Performance Computing, Ethical Hacking, Biometric Security |
| OE4XX | Open Elective I | Elective | 6 | Sustainable Development, Entrepreneurship, Renewable Energy, Robotics, Financial Management |
| CS498 | Industrial Project / Internship | Project | 6 | Real-world Problem Solving, Industry Standards, Team Collaboration, Project Documentation, Professional Communication |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS499 | Major Project | Project | 12 | Advanced System Design, Innovative Solution Development, Experimental Analysis, Research Methodologies, Technical Report Writing |
| CSXXX | Program Elective VI | Elective | 9 | Internet of Things, Edge Computing, Data Visualization, Quantum Machine Learning, Computational Biology |
| OE4XX | Open Elective II | Elective | 6 | Technology Management, Intellectual Property Rights, Digital Marketing, Supply Chain Management, Disaster Management |
| HSXXX | Professional Ethics | Core | 6 | Ethical Theories, Professional Code of Conduct, Cyber Ethics, Social Responsibility, Intellectual Property Issues |
