B.Tech CSEBachelor of Technology — Computer Science

Calculus, matrices and differential equations.

Physical principles underlying engineering applications.

Fundamentals of programming using C.

Technical drawing and CAD fundamentals.

Technical English communication for engineers.

Chemical principles applied in engineering.

Environment, pollution and sustainable engineering.

Complex variables, probability and numerical methods.

Chemical principles in engineering applications.

Core data structures and algorithm analysis.

Boolean algebra, logic gates and digital circuits.

Electrical circuits, machines and power systems.

OOP concepts with Python for engineering applications.

OOP design and implementation in Java.

CPU design, memory hierarchy and I/O systems.

Mathematical structures for computer science.

Database design, SQL and query optimisation.

Semiconductor devices, op-amps and microprocessors.

Numerical methods and transform techniques for CSE.

OS internals — processes, memory, file systems.

Network protocols, OSI model and internet architecture.

Algorithm design paradigms and complexity analysis.

Formal languages, automata and computability.

ARM architecture, embedded C and RTOS.

Lexical analysis, parsing and code generation.

Software development lifecycle, design patterns and testing.

ML algorithms, model training and evaluation.

Frontend and backend web development.

2D/3D graphics algorithms and rendering techniques.

Data warehouse design, ETL and mining algorithms.

Android & iOS app development with modern frameworks.

AI techniques — search, planning, knowledge and learning.

Cloud architecture, services and deployment.

Information security, cryptography and network defence.

Parallel computing, GPU programming and HPC systems.

Linux, Git, containerisation and open source ecosystem.

Neural network architectures and deep learning applications.

Hadoop, Spark and large-scale data processing.

IoT systems, protocols and edge computing.

Distributed architectures, consensus and fault tolerance.

AR/VR fundamentals, development and applications.

Distributed systems, blockchain and consensus.

NLP techniques and language model applications.

Major engineering project — design, develop and present.

Hands-on workshop, material science basics and engineering trades.

Statics, dynamics and free body diagrams for engineers.

Boolean algebra, logic gates, combinational and sequential circuits.

Continuous and discrete signals, Fourier and Laplace transforms.

Automata, formal languages, Turing machines and computational complexity.

SDLC, UML, design patterns and CASE tool usage.

IoT architecture, embedded programming and real-world sensor projects.

Virtualisation, container orchestration and cloud service deployment.

AR/VR development with Unity, 3D rendering and immersive experience design.

Text processing, NLP pipelines and applications using Python/NLTK.

Blockchain fundamentals, smart contracts and decentralised applications.

Quantum mechanics basics, qubits, quantum gates and Qiskit programming.

Building scalable data pipelines with Airflow, dbt and modern data stack.

Hadoop ecosystem, Spark and analytics at scale.

Cryptographic algorithms, security protocols and ethical hacking basics.

Agile methodologies, DevOps pipeline and security integration.

Collaborative filtering, content-based and hybrid recommendation algorithms.

Image processing, CNNs and real-world computer vision applications.

End-to-end industry-grade project solving a real-world problem.

AI ethics, digital rights, privacy law and responsible tech design.

Industry training report, technical seminar and placement preparation.

Limits, differentiation, integration, matrices and eigenvalues.

Probability, distributions, hypothesis testing and statistical inference.

Root finding, interpolation, numerical integration and ODE solving.

Logic, sets, relations, graph theory and combinatorics.