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B-TECH in Computer Science And Engineering at Indian Institute of Technology Kanpur
Kanpur Nagar, Uttar Pradesh
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About the Specialization
What is Computer Science and Engineering at Indian Institute of Technology Kanpur Kanpur Nagar?
This Computer Science and Engineering program at IIT Kanpur focuses on providing a strong theoretical foundation coupled with practical skills essential for innovation. It''''s designed to meet the growing demands of the Indian IT and tech industry, offering a comprehensive curriculum that covers cutting-edge technologies and fundamental computing principles. The program emphasizes problem-solving and research-oriented learning.
Who Should Apply?
This program is ideal for highly motivated fresh graduates with a strong aptitude for mathematics and logical reasoning, aspiring to build a career in software development, data science, or research. It also suits individuals passionate about contributing to technological advancements within India''''s burgeoning digital economy, particularly those interested in deep dives into algorithms, AI, and systems.
Why Choose This Course?
Graduates of this program can expect to secure top roles in leading Indian and multinational tech companies like Google, Microsoft, TCS, Wipro, and various startups. Entry-level salaries typically range from INR 10-25 LPA, with experienced professionals earning significantly more. Career paths include Software Engineer, Data Scientist, Machine Learning Engineer, Cyber Security Analyst, and Research Scientist, aligning with India''''s digital transformation goals.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to thoroughly understand basic programming concepts and data structures. Consistent practice on coding platforms is crucial for building a strong problem-solving base.
Tools & Resources
GeeksforGeeks, HackerRank, CodeChef, LeetCode, Introduction to Algorithms (CLRS)
Career Connection
A solid grasp of fundamentals is indispensable for technical interviews and developing robust software solutions in any entry-level engineering role.
Build a Strong Mathematical Foundation- (Semester 1-2)
Focus on excelling in core mathematics courses like Calculus, Linear Algebra, and Discrete Mathematics. These subjects form the bedrock for advanced computer science concepts, especially in AI and algorithms.
Tools & Resources
NPTEL courses, Khan Academy, MIT OpenCourseware, Reference textbooks (e.g., Lay for Linear Algebra)
Career Connection
Strong mathematical intuition is critical for research roles, algorithm design, and understanding the theoretical underpinnings of machine learning and cryptography.
Engage Actively in Peer Learning and Tutorials- (Semester 1-2)
Form study groups and actively participate in tutorial sessions. Teaching concepts to peers reinforces your own understanding and exposes you to different problem-solving approaches.
Tools & Resources
Study groups with classmates, Departmental TA/mentor sessions, Online collaboration tools
Career Connection
Develops teamwork, communication skills, and the ability to articulate complex ideas, which are vital for collaborative industry projects.
Intermediate Stage
Undertake Mini-Projects and Internships- (Semester 3-5)
Actively seek opportunities for mini-projects in areas of interest and pursue summer internships. Practical application of theoretical knowledge is key to understanding industry challenges.
Tools & Resources
GitHub, Kaggle, Department research labs, Internship portals like Internshala, LinkedIn
Career Connection
Practical experience significantly boosts your resume, provides networking opportunities, and often leads to pre-placement offers, accelerating your career in core tech companies.
Specialize and Explore Advanced Topics- (Semester 3-5)
Identify specific areas within CSE (e.g., AI/ML, Cybersecurity, Cloud Computing, Data Science) that pique your interest and take relevant elective courses. Deepen your knowledge through online certifications or self-study.
Tools & Resources
Coursera, edX, Udemy for specialized courses, NPTEL Advanced Courses, Research papers, academic journals
Career Connection
Specialized skills make you a valuable asset for targeted roles in niche tech domains and open doors to advanced research or product development positions.
Participate in Coding Competitions and Hackathons- (Semester 3-5)
Regularly participate in competitive programming contests and hackathons. This sharpens your coding skills, fosters innovation under pressure, and helps build a strong portfolio.
Tools & Resources
Codeforces, TopCoder, Google Kick Start, Major hackathon events (e.g., Smart India Hackathon)
Career Connection
Showcases problem-solving abilities and resilience to recruiters, often leading to direct interview opportunities with leading tech firms, especially for software development roles.
Advanced Stage
Focus on Capstone Project and Research- (Semester 6-8)
Invest deeply in your B.Tech project, aiming for a novel contribution or a high-quality implementation. Consider publishing your work or presenting at conferences, especially if interested in higher studies or R&D roles.
Tools & Resources
Faculty advisors, PhD mentors, Academic databases (IEEE Xplore, ACM Digital Library), LaTeX for report writing
Career Connection
A strong capstone project demonstrates your ability to apply knowledge to real-world problems and is a significant talking point in advanced technical interviews and for graduate school applications.
Intensive Placement Preparation- (Semester 6-8)
Begin rigorous preparation for placements well in advance. This includes practicing aptitude tests, technical interview questions (DSA, OS, DBMS, Networks), behavioral interviews, and mock interviews.
Tools & Resources
Mock interview platforms, InterviewBit, LeetCode premium, Company-specific preparation guides, Career Development Center resources
Career Connection
Ensures readiness for the competitive placement season, maximizing your chances of securing desired roles with top-tier companies in India and internationally.
Network Professionally and Mentor Juniors- (Semester 6-8)
Leverage the IIT Kanpur alumni network and attend industry talks. Mentor junior students, which helps consolidate your own learning and develops leadership qualities.
Tools & Resources
LinkedIn, Alumni portals, Departmental events, Student clubs and societies
Career Connection
Professional networking can lead to valuable career insights, job referrals, and mentorship opportunities. Mentoring enhances leadership and communication skills, vital for managerial positions.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics, Chemistry, Mathematics from a recognized board, and a valid rank in JEE Advanced examination.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| LIF101 | Introduction to the Life Sciences | Core | 3 | Cell Biology, Genetics and Evolution, Physiology, Ecology and Environment, Biotechnology Applications |
| PHD101 | Physics I | Core | 3 | Classical Mechanics, Oscillations and Waves, Special Relativity, Electromagnetism Introduction, Quantum Mechanics Fundamentals |
| MTH101 | Mathematics I | Core | 4 | Differential Calculus, Integral Calculus, Sequences and Series, Multivariable Calculus Introduction, Vector Calculus Basics |
| ESC101 | Fundamentals of Computing | Core | 3 | Introduction to Python Programming, Data Types and Operators, Control Flow and Functions, Basic Data Structures (Lists, Tuples, Dictionaries), Object-Oriented Programming Concepts |
| TA101 | Engineering Graphics | Core | 2 | Orthographic Projections, Isometric Views, Sectional Views, Development of Surfaces, Introduction to CAD Software |
| PHY101 | Physics Laboratory | Lab | 1 | Measurement Techniques, Error Analysis, Experiments in Mechanics, Experiments in Optics, Basic Electronics Experiments |
| HSS-I | Humanities and Social Sciences Elective I | Elective | 3 | Social Sciences Concepts, Arts and Culture Studies, Communication Skills, Ethics and Philosophy, Economics Fundamentals |
| PE101 | Physical Education I | Core (Mandatory, 0 Credits) | 0 | Physical Fitness, Team Sports, Individual Sports, Yoga and Wellness, Health Awareness |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CHM101 | Chemistry | Core | 3 | Atomic Structure and Bonding, Chemical Thermodynamics, Chemical Kinetics, Organic Chemistry Basics, Electrochemistry |
| MTH102 | Mathematics II | Core | 4 | Linear Algebra, Ordinary Differential Equations, Partial Differential Equations Introduction, Fourier Series, Numerical Methods Basics |
| ESC102 | Engineering Discovery | Core | 3 | Introduction to Engineering Disciplines, Design Thinking Process, Problem Identification and Solutions, Basic Prototyping, Team-based Project Work |
| SOE1XX | Science Elective (e.g., Biology, Earth Science) | Elective | 3 | |
| TA201 | Engineering Design | Core | 3 | Systematic Design Methodology, Conceptual Design, Detailed Design, Material Selection, Manufacturing Processes |
| CHM102 | Chemistry Laboratory | Lab | 1 | Titrimetric Analysis, Gravimetric Analysis, Spectroscopic Techniques, Organic Synthesis Basics, Analytical Chemistry Methods |
| LIF102 | Life Sciences Laboratory | Lab | 1 | Microscopy Techniques, Biochemical Assays, DNA Extraction and Analysis, Microbial Culture, Physiological Measurements |
| HSS-II | Humanities and Social Sciences Elective II | Elective | 3 | |
| PE102 | Physical Education II | Core (Mandatory, 0 Credits) | 0 | Advanced Sports Techniques, Fitness Training, Sports Psychology Basics, Nutrition and Health, Recreational Activities |
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, Time and Space Complexity Analysis |
| CS203 | Discrete Mathematics for Computer Science | Core | 4 | Logic and Proof Techniques, Set Theory and Relations, Combinatorics and Counting, Graph Theory, Algebraic Structures |
| CS204 | Computer Organization | Core | 4 | Digital Logic Circuits, Assembly Language Programming, CPU Design and Pipelining, Memory Hierarchy (Cache, RAM), I/O Organization |
| ESO207 | Signals and Systems | Core | 4 | Continuous and Discrete-Time Signals, Linear Time-Invariant Systems, Fourier Series and Transform, Laplace Transform, Z-Transform and Sampling |
| SOE1XX | Open Elective (Electrical Engineering Dept) | Elective | 3 | |
| EEM6XX | Economics | Core | 3 | Microeconomics Principles, Macroeconomics Principles, Market Structures, National Income Accounting, Monetary and Fiscal Policy |
| HSS-III | Humanities and Social Sciences Elective III | Elective | 3 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS210 | Object Oriented Programming | Core | 4 | Classes and Objects, Inheritance and Polymorphism, Encapsulation and Abstraction, Templates and Generics, Exception Handling and Design Patterns |
| CS220 | Introduction to Computer Systems | Core | 4 | Operating System Concepts, Process Management, Memory Management, I/O Subsystem, File Systems |
| CS252 | Database Management Systems | Core | 4 | Relational Model, SQL Query Language, Database Design (ER Models, Normalization), Transaction Management, Concurrency Control and Recovery |
| CS290 | Software Engineering and Ethics | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Testing and Quality Assurance, Professional Ethics in Computing |
| CS292 | Computer Science Laboratory | Lab | 2 | Data Structures Implementation, Algorithm Design Practice, Operating System Utilities, Network Programming Basics, Shell Scripting |
| ESO209 | Probability and Statistics | Core | 4 | Probability Theory, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Regression and Correlation |
| HSS-IV | Humanities and Social Sciences Elective IV | Elective | 3 |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS330 | Operating Systems | Core | 4 | Process and Thread Management, CPU Scheduling, Deadlocks, Memory Management (Paging, Segmentation), File Systems and I/O |
| CS340 | Theory of Computation | Core | 4 | Finite Automata, Regular Languages, Context-Free Grammars, Turing Machines, Computability and Undecidability |
| CS345 | Compilers | Core | 4 | Lexical Analysis, Parsing (Top-down, Bottom-up), Syntax-Directed Translation, Intermediate Code Generation, Code Optimization |
| CS360 | Computer Networks | Core | 4 | Network Layered Architecture (OSI/TCP-IP), Data Link Layer Protocols, Network Layer (IP Addressing, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| CS370 | Introduction to AI | Core | 4 | Problem Solving and Search Algorithms, Knowledge Representation, Logic and Inference, Machine Learning Fundamentals, Natural Language Processing Basics |
| CSE3XX | Department Elective I | Elective | 3 |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS350 | Automata Theory | Core | 4 | Finite Automata and Regular Expressions, Context-Free Grammars and Pushdown Automata, Turing Machines and Computability, Decidability and Undecidability, Complexity Classes (P, NP) |
| CS390 | Algorithms Laboratory | Lab | 2 | Advanced Data Structures Implementation, Graph Algorithms Practice, Dynamic Programming Applications, Greedy Algorithms Implementations, Algorithm Analysis Tools |
| CS392 | Operating Systems Laboratory | Lab | 2 | Process and Thread Management in Linux, Inter-process Communication, Synchronization Primitives, Memory Management Techniques, File System Calls |
| CS394 | Computer Networks Laboratory | Lab | 2 | Socket Programming, Network Protocol Analysis (Wireshark), Routing Protocols Configuration, Client-Server Applications, Network Security Basics |
| CSE4XX | Department Elective II | Elective | 3 | |
| CSE4XX | Department Elective III | Elective | 3 | |
| OE1 | Open Elective I | Elective | 3 | |
| OE2 | Open Elective II | Elective | 3 |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS498 | B.Tech Project I | Project | 6 | Problem Definition and Literature Review, System Design and Architecture, Methodology and Implementation Plan, Initial Prototyping and Experimentation, Project Documentation and Presentation |
| CSE4XX | Department Elective IV | Elective | 3 | |
| CSE4XX | Department Elective V | Elective | 3 | |
| OE3 | Open Elective III | Elective | 3 |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS499 | B.Tech Project II | Project | 6 | Advanced Implementation and Development, Testing and Evaluation, Results Analysis and Interpretation, Dissertation Writing, Final Presentation and Defense |
| CSE4XX | Department Elective VI | Elective | 3 | |
| CSE4XX | Department Elective VII | Elective | 3 | |
| OE4 | Open Elective IV | Elective | 3 |
