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B-TECH in Computer Science And Engineering at Indian Institute of Technology Roorkee
Haridwar, Uttarakhand
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About the Specialization
What is Computer Science and Engineering at Indian Institute of Technology Roorkee Haridwar?
This Computer Science and Engineering program at IIT Roorkee focuses on providing a robust foundation in core computer science principles, alongside exposure to cutting-edge technologies like AI, Machine Learning, and Parallel Computing. It''''s designed to meet India''''s escalating demand for skilled tech professionals, driving innovation and digital transformation across various sectors.
Who Should Apply?
This program is ideal for high-achieving 10+2 students who have excelled in JEE Advanced and possess a strong aptitude for mathematics, logical reasoning, and problem-solving. It''''s tailored for aspiring software developers, data scientists, researchers, and tech entrepreneurs keen on building impactful careers in India''''s dynamic technology landscape.
Why Choose This Course?
Graduates of this program can expect to secure sought-after positions in top-tier Indian IT services firms, product companies (including FAANG equivalents), and burgeoning startups. Entry-level salaries typically range from INR 10-25 LPA, with significant growth trajectories into leadership, architect, or specialized research roles, aligning with global tech certifications and industry demands.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant effort to CS101 (Introduction to Programming) by consistently solving problems in C/C++. Utilize online platforms like GeeksforGeeks and HackerRank daily to build a strong problem-solving foundation, crucial for coding rounds in Indian tech companies.
Tools & Resources
GeeksforGeeks, HackerRank, Competitive Programming Platforms
Career Connection
Strong programming fundamentals are non-negotiable for placements, especially in product-based companies and startups, enabling quick learning of new languages and frameworks.
Excel in Basic Sciences and Engineering- (Semester 1-2)
Develop a deep understanding of core subjects like Mathematics (MA101, MA102) and Physics (PH101, PH102). Form study groups, actively participate in discussions, and solve numerous practice problems. This strengthens analytical abilities vital for advanced CSE concepts.
Tools & Resources
Textbooks, Professor Office Hours, Peer Study Groups
Career Connection
Robust analytical and mathematical skills are foundational for research roles, data science, and complex algorithm design, providing a competitive edge in higher studies and specialized tech roles.
Actively Engage in Lab & Workshop Sessions- (Semester 1-2)
Participate fully in practical sessions like Physics Lab, Electrical Engineering Lab, and Engineering Workshop. Focus on hands-on application and understanding the working principles. Practical skills are highly valued and demonstrate a holistic engineering understanding to recruiters.
Tools & Resources
Lab Manuals, Workshop Tools, Instructor Guidance
Career Connection
Hands-on experience in various engineering disciplines showcases practical problem-solving skills, making students versatile and appealing for internships and entry-level engineering positions across industries.
Intermediate Stage
Deep Dive into Data Structures and Algorithms (DSA)- (Semester 3-5)
Prioritize CS201 (DSA) and CS211 (Design & Analysis of Algorithms). Practice relentlessly on platforms like LeetCode and InterviewBit, aiming for daily coding challenges and participating in competitive programming contests. This is paramount for clearing technical interviews.
Tools & Resources
LeetCode, InterviewBit, CodeChef, Coding Blocks
Career Connection
Mastery of DSA is the single most critical skill for securing placements in top product companies and high-paying tech roles in India, as it forms the core of technical interviews.
Engage in Departmental Projects and Clubs- (Semester 3-5)
Actively seek out minor projects with faculty or join departmental technical clubs like SDSLabs, IMG. Apply theoretical knowledge from subjects like OS, DBMS, and AI to build real-world applications. Showcasing meaningful projects strengthens your resume significantly.
Tools & Resources
GitHub, Department Labs, Faculty Mentors, SDSLabs (IITR)
Career Connection
Practical project experience demonstrates initiative and applied skills, which are highly valued by startups and product companies for internships and full-time roles, especially in India''''s vibrant tech ecosystem.
Build a Strong Professional Network- (Semester 3-5)
Attend technical workshops, guest lectures, and industry seminars organized by the department or various student chapters (ACM, IEEE). Connect with seniors, alumni, and industry experts via platforms like LinkedIn. Networking opens doors to internships and mentorship opportunities.
Tools & Resources
LinkedIn, Departmental Events, Alumni Connect Programs
Career Connection
A strong professional network provides insights into industry trends, potential internship leads, and valuable career guidance, often leading to referrals for coveted positions in Indian and international firms.
Advanced Stage
Targeted Skill Specialization and Certifications- (Semester 6-8)
Carefully select Department and Open Electives (e.g., in AI/ML, Cybersecurity, Cloud Computing) to build specialized expertise. Complement this with relevant industry certifications (e.g., AWS, Azure, Google Cloud). This creates a niche and enhances employability.
Tools & Resources
Coursera, edX, AWS Certifications, Microsoft Azure Certifications
Career Connection
Specialized skills and certifications make graduates highly competitive for specific roles in emerging tech domains, offering higher salaries and faster career growth in India''''s rapidly evolving tech landscape.
Intensive Placement and Career Preparation- (Semester 6-8)
Engage in rigorous placement preparation, including mock interviews (technical and HR), aptitude tests, and group discussions. Leverage the institute''''s Career Development Centre for company-specific training, resume reviews, and interview simulations. Focus on communication skills.
Tools & Resources
Career Development Centre, Mock Interview Panels, Aptitude Test Books
Career Connection
Thorough preparation is crucial for navigating the competitive campus placement process, maximizing chances of securing offers from top-tier companies in India and ensuring a strong start to your career.
Undertake Impactful Capstone Projects/Research- (Semester 6-8)
Invest deeply in Project II and Project III. Aim to develop innovative solutions or contribute to research publications. Collaborate with faculty on advanced research problems. A strong, well-executed final year project is a powerful differentiator for placements and higher studies.
Tools & Resources
Research Papers, Faculty Advisors, Project Management Tools, GitHub
Career Connection
A significant capstone project showcases problem-solving, innovation, and implementation skills, highly regarded by recruiters and essential for pursuing Master''''s or PhD programs at leading institutions globally and in India.
Program Structure and Curriculum
Eligibility:
- JEE Advanced qualification, 10+2 with Physics, Chemistry, Mathematics (as per IIT Roorkee general B.Tech admissions)
Duration: 8 semesters / 4 years
Credits: 149 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Mathematics I | Core | 4 | Functions of Several Variables, Sequences and Series, Fourier Series, Laplace Transforms, Vector Calculus, Ordinary Differential Equations |
| PH101 | Physics I | Core | 4 | Wave Optics, Electromagnetic Theory, Quantum Physics, Statistical Mechanics |
| PH102 | Physics Lab | Lab | 2 | Experiments in Wave Optics, Electricity and Magnetism, Modern Physics Concepts |
| CS101 | Introduction to Programming | Core | 4 | Problem Solving and Algorithms, C/C++ Fundamentals, Control Structures and Functions, Arrays and Pointers, Structures and Files, Recursion |
| CE101 | Engineering Graphics | Core | 3 | Orthographic Projections, Sectional Views, Isometric Views, Computer-Aided Drafting (CAD) |
| HS101 | English for Communication | Core | 2 | Listening and Speaking Skills, Reading Comprehension, Academic Writing, Grammar and Vocabulary |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Mathematics II | Core | 4 | Linear Algebra, Vector Spaces, Eigenvalues and Eigenvectors, Numerical Methods, Probability and Statistics |
| EE101 | Basic Electrical Engineering | Core | 4 | DC and AC Circuits, Network Theorems, Single-Phase Transformers, DC Machines, Three-Phase AC Circuits, Basic Power Systems |
| EE102 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Network Theorems, RLC Circuit Characteristics, Transformer Performance Tests |
| ME101 | Engineering Mechanics | Core | 4 | Statics of Particles and Rigid Bodies, Analysis of Structures, Friction, Kinematics of Rigid Bodies, Kinetics of Particles and Rigid Bodies, Work, Energy, Impulse, Momentum |
| ME102 | Engineering Workshop | Lab | 2 | Carpentry Shop Operations, Welding Shop Processes, Machining and Fitting Shop, Foundry Practices |
| CH101 | Chemistry I | Core | 4 | Quantum Chemistry, Spectroscopy, Stereochemistry, Polymers and Smart Materials, Electrochemistry and Corrosion |
| CH102 | Chemistry Lab | Lab | 2 | Volumetric Analysis Techniques, Organic Synthesis Procedures, Instrumental Analysis Methods |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS201 | Data Structures and Algorithms | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching Algorithms, Hashing Techniques, Algorithm Design Paradigms |
| CS202 | Discrete Structures | Core | 4 | Mathematical Logic, Set Theory and Functions, Relations and Posets, Graph Theory Fundamentals, Combinatorics and Counting, Algebraic Structures |
| CS203 | Object Oriented Programming | Core | 4 | Classes and Objects, Inheritance and Polymorphism, Abstraction and Encapsulation, Exception Handling, File Handling, Standard Template Library (STL) |
| CS204 | Digital Logic Design | Core | 4 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory and Programmable Logic, State Machine Design |
| MA201 | Probability and Random Processes | Core | 4 | Probability Spaces and Axioms, Random Variables and Distributions, Stochastic Processes, Markov Chains, Queuing Theory, Estimation and Hypothesis Testing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS211 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness and Approximation |
| CS212 | Computer Organization | Core | 4 | CPU Organization and Design, Instruction Set Architectures, Memory Hierarchy, Input/Output Organization, Pipelining and Parallel Processing, Cache Memory Design |
| CS213 | Operating Systems | Core | 4 | Process Management and Scheduling, Inter-process Communication, Memory Management, Virtual Memory, File Systems, I/O Management |
| CS214 | Database Management Systems | Core | 4 | Relational Model and Algebra, SQL Query Language, Database Design and Normalization, Transaction Management, Concurrency Control, Recovery Systems |
| HS201 | Management, Economics and Ethics | Core | 3 | Principles of Management, Microeconomics and Macroeconomics, Business Ethics and Corporate Governance, Organizational Behavior, Financial Management |
| HU2XX | Humanities Elective I | Elective | 1 |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS301 | Theory of Computation | Core | 4 | Finite Automata and Regular Languages, Context-Free Grammars, Pushdown Automata, Turing Machines, Computability Theory, Complexity Classes |
| CS302 | Computer Networks | Core | 4 | Network Models (OSI/TCP-IP), Physical and Data Link Layer, Network Layer Protocols, Transport Layer Protocols, Application Layer Protocols, Network Security Basics |
| CS303 | Artificial Intelligence | Core | 4 | Problem Solving and Search, Knowledge Representation, Machine Learning Basics, Neural Networks, Natural Language Processing, Game Playing and Robotics |
| CS304 | Software Engineering | Core | 4 | Software Development Lifecycle, Requirements Engineering, Software Design Principles, Software Testing and Maintenance, Project Management, Quality Assurance |
| CS305 | Advanced Programming Lab | Lab | 2 | Advanced Data Structures Implementation, Complex Algorithm Development, System Level Programming, Network Programming, GUI and Web Programming |
| OE1XX | Open Elective I | Elective | 2 |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS311 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis (Parsing), Syntax-Directed Translation, Intermediate Code Generation, Code Optimization, Target Code Generation |
| CS312 | Principles of Parallel Computing | Core | 4 | Parallel Computer Architectures, Parallel Programming Models, Shared Memory Programming (OpenMP), Distributed Memory Programming (MPI), GPU Computing (CUDA/OpenCL), Performance Analysis and Optimization |
| CS313 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Regression and Classification, Clustering Algorithms, Deep Learning Fundamentals, Model Evaluation and Hyperparameter Tuning |
| CSXXX | Department Elective I | Elective | 4 | |
| OE2XX | Open Elective II | Elective | 2 | |
| PJC | Project I | Project | 2 |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSXXX | Department Elective II | Elective | 4 | |
| CSXXX | Department Elective III | Elective | 4 | |
| OE3XX | Open Elective III | Elective | 2 | |
| OE4XX | Open Elective IV | Elective | 2 | |
| CS400 | Industrial Lecture | Core | 1 | Industry Trends, Emerging Technologies, Expert Insights from Industry/Academia |
| CS401 | Seminar | Core | 2 | Technical Presentation Skills, Research Communication, Academic Topic Exploration |
| PJC | Project II | Project | 2 |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSXXX | Department Elective IV | Elective | 4 | |
| CSXXX | Department Elective V | Elective | 4 | |
| PJC | Project III | Project | 8 |
