B.Tech syllabus, subject by subject

Basic Electrical Engineering

DC and AC circuit analysis, machines and measuring instruments.

Year 1 · Sem 1 · ES102

Engineering Mathematics I

Calculus and linear algebra — the mathematics everything later is built on.

Year 1 · Sem 1 · BS101

Engineering Physics

Optics, quantum mechanics and semiconductor physics for engineers.

Year 1 · Sem 1 · BS102

Programming for Problem Solving

The first programming course. C, from variables to structures and file handling.

Year 1 · Sem 1 · ES101

Digital Logic Design

Gates to sequential circuits — how a processor is built from switches.

Year 1 · Sem 2 · ES201

Data Structures

Arrays to graphs — the subject every technical interview is quietly about.

Year 2 · Sem 3 · CS201

Discrete Mathematics

Logic, sets, relations, graphs and counting — the mathematics of computer science.

Year 2 · Sem 3 · CS205

Object-Oriented Programming

Classes, inheritance and polymorphism, usually taught in C++ or Java.

Year 2 · Sem 3 · CS202

Probability and Statistics

Distributions, estimation and hypothesis testing — the maths under every model.

Year 2 · Sem 3 · AD202

Python for Data Science

NumPy, pandas and matplotlib — the working toolkit for everything that follows.

Year 2 · Sem 3 · AD201

Computer Organisation and Architecture

How instructions actually execute — datapath, pipelines, cache and memory hierarchy.

Year 2 · Sem 4 · CS203

Database Management Systems

ER models, SQL, normalisation and transactions — the most directly employable subject in the degree.

Year 2 · Sem 4 · CS204

Operating Systems

Processes, scheduling, memory and deadlock — where theory meets the machine.

Year 2 · Sem 4 · CS301

Computer Networks

The OSI and TCP/IP stacks, routing, and how the internet actually moves a packet.

Year 3 · Sem 5 · CS303

Cryptography and Network Security

Symmetric and public-key cryptography, hashing, and the protocols built from them.

Year 3 · Sem 5 · CY301

Design and Analysis of Algorithms

Divide and conquer, greedy, dynamic programming, and the beginning of complexity theory.

Year 3 · Sem 5 · CS302

Theory of Computation

Automata, grammars, Turing machines and the limits of what can be computed.

Year 3 · Sem 5 · CS304

Compiler Design

Lexical analysis to code generation — how source text becomes something a machine runs.

Year 3 · Sem 6 · CS306

Deep Learning

Neural networks, CNNs, RNNs and transformers, and how they are actually trained.

Year 3 · Sem 6 · AD301

Information Security

Access control, risk management, policy and the defensive side of security.

Year 3 · Sem 6 · CY302

Machine Learning

Supervised and unsupervised learning, from linear regression to ensembles.

Year 3 · Sem 6 · CS308

Software Engineering

Process models, requirements, design, testing — the subject that is easy to pass and worth actually learning.

Year 3 · Sem 6 · CS305

Web Technologies

HTML, CSS, JavaScript and server-side basics — the most immediately usable subject you will study.

Year 3 · Sem 6 · CS307

Big Data Analytics

Hadoop, MapReduce and Spark — processing data that does not fit on one machine.

Year 4 · Sem 7 · CS402

Cloud Computing

Virtualisation, service models and the economics of not owning servers.

Year 4 · Sem 7 · CS401

Computer Vision

Image formation, features, segmentation and modern detection networks.

Year 4 · Sem 7 · AD303

Digital Forensics

Evidence handling, disk and memory analysis, and the legal process around them.

Year 4 · Sem 7 · CY401

Distributed Systems

Clocks, consensus and replication — why distributed computing is hard on purpose.

Year 4 · Sem 7 · CS403

Natural Language Processing

From tokenisation and n-grams to embeddings and transformer-based language models.

Year 4 · Sem 7 · AD302

Cyber Law and Ethics

The IT Act, data protection, and the professional boundaries of security work.

Year 4 · Sem 8 · CY402