IIT SYLLABUS

 This is highly aligned with GATE and advanced research-focused topics.

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🎓 IIT B.Tech CSE Syllabus – Semester Wise

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🧩 1st Year (Common Across Departments)

📘 Semester 1

Course	Topics
Mathematics I	Calculus, Linear Algebra, Differential Equations
Physics I	Mechanics, Oscillations, Waves
Computing / Introduction to Programming	Python/C++, Data types, Loops, Functions, Recursion
Engineering Graphics / Workshop	2D-3D Drawings, AutoCAD
Humanities Elective	Communication, Ethics
Physics Lab	Experiments in Mechanics

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📗 Semester 2

Course	Topics
Mathematics II	Multivariable Calculus, Vector Calculus, Laplace, Fourier
Physics II / Chemistry	Electricity & Magnetism / Atomic structure, Chemical Kinetics
Data Structures & Algorithms	Arrays, Linked Lists, Trees, Graphs, Sorting
Basic Electronics / Electrical Engineering	Diodes, Transistors, Op-Amps, Circuits
Environmental Studies / Biology	Ecosystems, Genetics (varies by IIT)
Labs	Programming Lab, Electronics Lab

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💻 2nd Year – CSE Core Begins

📘 Semester 3

Course	Topics
Discrete Mathematics	Logic, Sets, Combinatorics, Graph Theory
Computer Organization	CPU, Memory Hierarchy, Instruction Set
Design & Analysis of Algorithms	Greedy, DP, Graph Algorithms
Operating Systems	Process, Scheduling, Memory, File Systems
Digital Logic Design	Boolean Algebra, Logic Gates, FSM
Labs	OS Lab, Digital Lab

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📗 Semester 4

Course	Topics
Theory of Computation	DFA, NFA, CFG, Turing Machines
Database Management Systems	ER Diagrams, SQL, Transactions, Normalization
Software Engineering	SDLC, Agile, UML, Testing
Signals & Systems (in some IITs)	LTI Systems, Convolution, Fourier
Computer Networks	OSI, TCP/IP, Routing, Congestion Control
Labs	DBMS Lab, CN Lab

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🚀 3rd Year – Advanced CS Subjects + Electives

📘 Semester 5

Course	Topics
Artificial Intelligence	Search, Logic, Probabilistic Models, Planning
Compiler Design	Lexical Analysis, Parsing, Intermediate Code
Elective I	ML, Cybersecurity, NLP, Image Processing
Communication Skills / Minor Project	Research/Industry paper presentation
Labs	AI/ML Lab, Compiler Lab

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📗 Semester 6

Course	Topics
Machine Learning	Regression, SVMs, Clustering, Neural Networks
Elective II	Blockchain, Cloud Computing, Game Dev, IoT
Open Elective (Non-CS)	Management, Finance, Psychology, Law
Minor Project	Start design of Major Project
Labs	ML Lab, IoT/Cloud Lab

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🎓 4th Year – Specialization, Research, Industry Exposure

📘 Semester 7

Course	Topics
Major Project – Part 1	Research/design, Implementation Planning
Elective III	Deep Learning, Robotics, AR/VR
Elective IV	DevOps, System Security, Distributed Systems
Industrial Internship / Seminar	Industry training or technical seminar

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📗 Semester 8

Course	Topics
Major Project – Part 2	Full Implementation, Report, Viva
Professional Ethics / Entrepreneurship	Innovation, IP, Business Models
Elective V	High-performance Computing, NLP, Quantum Computing
Seminar / Viva	Final Research Paper / Presentation

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🧠 Special Features in IITs

• Elective Freedom: You can choose electives from other departments (math, management, even biology).

• Research Focus: UG students can take part in research assistantships under professors.

• Startups/Innovation Labs: Encouraged to build products or participate in competitions.

• Interdisciplinary Courses: Available through Minor Degrees (like AI, Economics, Management).

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🏁 

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📚 IIT B.Tech CSE – Topic-Wise Syllabus

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🔢 1. Mathematics for Computer Science

• Linear Algebra: Matrices, Determinants, Eigenvalues, Rank, System of Linear Equations

• Calculus: Limits, Differentiation, Integration, Multivariable Calculus

• Probability & Statistics: Random Variables, Probability Distributions, Mean, Variance, Bayes Theorem

• Discrete Mathematics: Sets, Logic, Proof Techniques, Relations, Functions, Combinatorics, Graph Theory

• Numerical Methods: Root Finding, Interpolation, Numerical Integration, ODE Solvers

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💾 2. Programming & Data Structures

• Programming Fundamentals: Variables, Operators, Loops, Conditionals (C/C++/Python)

• Object-Oriented Programming: Classes, Objects, Inheritance, Polymorphism, Encapsulation

• Data Structures: Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables

• Recursion and Backtracking

• Searching & Sorting: Binary Search, Merge Sort, Quick Sort, Heap Sort

• Dynamic Programming & Greedy Techniques

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🧮 3. Algorithms

• Algorithm Complexity: Big-O, Omega, Theta Notations

• Divide and Conquer: Merge Sort, Quick Sort

• Greedy Algorithms: Activity Selection, Huffman Coding

• Dynamic Programming: Knapsack, Matrix Chain Multiplication, LCS

• Graph Algorithms: BFS, DFS, Dijkstra, Prim’s, Kruskal’s, Floyd Warshall

• NP Completeness & Approximation Algorithms

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🖥️ 4. Computer Organization & Architecture

• Number Systems & Binary Arithmetic

• Logic Gates, Combinational Circuits, Sequential Circuits

• CPU Design, ALU, Control Unit

• Instruction Set Architecture (ISA)

• Memory Hierarchy: Cache, Main Memory, Virtual Memory

• I/O Systems and Interrupts

• Pipelining, RISC vs CISC

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📂 5. Operating Systems

• Process Management: Process, Threads, Scheduling (FCFS, SJF, Round Robin)

• Inter-process Communication, Deadlock, Concurrency

• Memory Management: Paging, Segmentation, Virtual Memory

• File Systems and I/O Management

• Disk Scheduling Algorithms

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🌐 6. Computer Networks

• OSI & TCP/IP Models

• Application Layer: HTTP, DNS, SMTP

• Transport Layer: TCP, UDP, Flow & Congestion Control

• Network Layer: IP Addressing, Routing (RIP, OSPF, BGP)

• Data Link Layer: ARP, MAC, CSMA/CD, Ethernet

• Network Security Basics

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🗃️ 7. Database Management Systems (DBMS)

• ER Modeling, Relational Model

• SQL Queries, Joins, Subqueries

• Normalization (1NF to BCNF)

• Indexing, B+ Trees, Hashing

• Transactions, ACID Properties, Concurrency Control

• Recovery & Backup Techniques

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🔠 8. Theory of Computation

• Finite Automata (DFA, NFA)

• Regular Languages, Regular Expressions

• Context-Free Grammars (CFG), Pushdown Automata (PDA)

• Turing Machines

• Decidability, Halting Problem, Rice's Theorem

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🧱 9. Compiler Design

• Lexical Analysis (Tokenization, Lex)

• Parsing Techniques (LL, LR, LALR)

• Syntax-Directed Translation

• Intermediate Code Generation (3AC)

• Code Optimization

• Target Code Generation

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🔐 10. Software Engineering

• Software Development Life Cycle (SDLC)

• Agile, Scrum, Waterfall Models

• UML Diagrams (Use Case, Class, Sequence)

• Testing Techniques: Unit, Integration, System

• Software Maintenance and Metrics

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🧠 11. Artificial Intelligence & Machine Learning

• Search Algorithms: BFS, DFS, A*, Minimax

• Logic & Reasoning: Propositional Logic, First Order Logic

• Probabilistic Models: Bayesian Networks, HMM

• Machine Learning Models:

  • Supervised (Regression, Classification)

  • Unsupervised (Clustering, PCA)

  • Neural Networks (Perceptron, Backpropagation)

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🌩️ 12. Electives / Special Topics (varies by IIT)

• Cloud Computing: Virtualization, Containers, AWS, Load Balancing

• Internet of Things (IoT): Sensors, Actuators, MQTT, Edge Computing

• Cybersecurity: Cryptography, Firewalls, Threat Modeling

• Big Data & Hadoop: MapReduce, HDFS, Spark

• Blockchain & Web3: Distributed Ledgers, Consensus, Smart Contracts

• Natural Language Processing (NLP): Tokenization, Word Embeddings, Transformers

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👨‍🔬 13. Projects, Internships & Seminars

• Minor Project (3rd Year)

• Major Project (4th Year)

• Industry Internship (Summer)

• Technical Seminars & Research Paper Presentations

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