Semester-wise syllabus for B.Tech in Information Technology (IT)

Semester 1 (First Year – Basics)

1. Mathematics-I
   • Topics: Calculus, Linear Algebra, Differential Equations
   • Description: Covers fundamental mathematical concepts essential for engineering problem-solving.
2. Physics / Chemistry (Choose One)
   • Physics Topics: Mechanics, Optics, Semiconductors
   • Chemistry Topics: Atomic Structure, Polymers, Electrochemistry
   • Description: Basic principles applied in IT hardware and materials.
3. Programming for Problem Solving (PPS) (C Language)
   • Topics: Variables, Loops, Functions, Pointers, File Handling
   • Description: Introduces programming logic using C.
4. Engineering Graphics & Design
   • Topics: Technical Drawing, CAD Basics
   • Description: Teaches visualization of engineering designs.
5. English for Communication
   • Topics: Technical Writing, Presentation Skills
   • Description: Improves communication for IT professionals.
6. Environmental Science
   • Topics: Sustainability, Pollution Control
   • Description: Awareness of environmental impacts in tech.
7. Workshop / Lab Practice
   • Topics: Basic Electronics, Soldering, Tools

Semester 2

1. Mathematics-II
   • Topics: Probability, Statistics, Numerical Methods
   • Description: Essential for data analysis and algorithms.
2. Basic Electrical & Electronics Engineering (BEEE)
   • Topics: Circuits, Semiconductor Devices, Logic Gates
   • Description: Basics of hardware components in computing.
3. Data Structures & Algorithms (DSA)
   • Topics: Arrays, Linked Lists, Trees, Sorting, Searching
   • Description: Core concepts for efficient programming.
4. Digital Logic Design
   • Topics: Boolean Algebra, Combinational Circuits, Flip-Flops
   • Description: Foundation for computer architecture.
5. Discrete Mathematics
   • Topics: Sets, Relations, Graph Theory
   • Description: Used in cryptography and algorithms.
6. Python Programming Lab
   • Topics: Python syntax, Libraries, Mini-Projects

Semester 3 (Second Year – Core IT)

1. Computer Organization & Architecture
   • Topics: CPU Design, Memory Hierarchy, Pipelining
   • Description: How computers work at the hardware level.
2. Database Management Systems (DBMS)
   • Topics: SQL, Normalization, Transactions
   • Description: Storing and managing data efficiently.
3. Operating Systems
   • Topics: Processes, Scheduling, Deadlocks
   • Description: How OS manages hardware and software.
4. Object-Oriented Programming (OOP) with Java/C++
   • Topics: Classes, Inheritance, Polymorphism
   • Description: Advanced programming paradigm.
5. Software Engineering
   • Topics: SDLC, Agile, UML Diagrams
   • Description: Systematic approach to software development.
6. DBMS Lab / DSA Lab
   • Hands-on: SQL Queries, Algorithm Implementation

Semester 4

1. Design & Analysis of Algorithms (DAA)
   • Topics: Dynamic Programming, Greedy Algorithms, NP-Completeness
   • Description: Techniques for solving complex problems.
2. Computer Networks
   • Topics: OSI Model, TCP/IP, Routing Protocols
   • Description: How data travels across networks.
3. Web Technologies
   • Topics: HTML, CSS, JavaScript, PHP
   • Description: Frontend and backend web development.
4. Theory of Computation (TOC)
   • Topics: Automata, Regular Languages, Turing Machines
   • Description: Theoretical foundation of computing.
5. Microprocessors & Interfacing
   • Topics: 8086 Architecture, Assembly Language
   • Description: Low-level programming for hardware.
6. Networking Lab / Web Development Lab

Semester 5 (Third Year – Advanced IT)

1. Artificial Intelligence (AI) & Machine Learning (ML)
   • Topics: Neural Networks, Supervised/Unsupervised Learning
   • Description: Introduction to AI algorithms.
2. Cyber security & Cryptography
   • Topics: Encryption, Firewalls, Ethical Hacking
   • Description: Protecting systems from cyber threats.
3. Cloud Computing
   • Topics: AWS, Azure, Virtualization
   • Description: Managing IT resources over the cloud.
4. Compiler Design
   • Topics: Lexical Analysis, Parsing, Code Optimization
   • Description: How programming languages are processed.
5. Elective-I (IoT / Big Data / Block chain)
6. AI Lab / Cyber security Lab

Semester 6

1. Data Science & Analytics
   • Topics: Data Mining, Visualization, Predictive Modelling
   • Description: Extracting insights from large datasets.
2. Mobile Application Development
   • Topics: Android (Kotlin/Java) or iOS (Swift)
   • Description: Building apps for smartphones.
3. Distributed Systems
   • Topics: Cloud Computing, Parallel Processing
   • Description: Systems working across multiple devices.
4. Elective-II (NLP / Game Development / Advanced DBMS)
5. Minor Project (Real-world problem-solving)

Semester 7 (Final Year – Specialization)

1. Internet of Things (IoT)
   • Topics: Sensors, Embedded Systems, IoT Protocols
   • Description: Connecting physical devices to the internet.
2. Deep Learning & Neural Networks
   • Topics: CNN, RNN, TensorFlow/PyTorch
   • Description: Advanced AI techniques.
3. Elective-III (Quantum Computing / DevOps / AR-VR)
4. Internship / Industrial Training
5. Major Project (Phase 1 – Research & Planning)

Semester 8

1. Ethical Hacking & Cyber Forensics
   • Topics: Penetration Testing, Digital Forensics
   • Description: Security assessment techniques.
2. Elective-IV (Robotics / FinTech / Advanced Cloud)
3. Major Project (Phase 2 – Implementation & Submission)
4. Seminar & Viva Voce

Key Labs & Practical’s

• Programming (C, Java, Python)
• Database & SQL
• Networking (Cisco Packet Tracer, Wireshark)
• AI/ML (TensorFlow, Scikit-learn)
• Web & Mobile App Development

Final Year Project Examples

• AI Chatbot
• Block chain-Based Voting System
• IoT-Based Smart Home Automation
• Cyber security Threat Detection Tool