B.Tech in Embedded Systems - Semester-wise Syllabus

 

Year 1: Foundation Courses

Semester 1:

1. Mathematics-I: Calculus, Linear Algebra

2. Physics for Engineers: Mechanics, Electromagnetism

3. Basic Electrical Engineering: Circuit Theory, Network Analysis

4. Programming Fundamentals: Introduction to C/Python

5. Engineering Chemistry/Environmental Studies

6. Workshop/Lab: Basic Electronics, Programming in C

 

Semester 2:

1. Mathematics-II: Differential Equations, Probability

2. Digital Electronics: Logic Gates, Combinational Circuits

3. Data Structures & Algorithms

4. Engineering Mechanics

5. Semiconductor Physics

6. Lab: Digital Circuits, Data Structures

 

Year 2: Core Embedded Systems

Semester 3:

1. Microcontrollers & Applications: 8051/ARM Architecture

2. Analog Electronics: Op-Amps, Sensors

3. Signals & Systems

4. Object-Oriented Programming (C++)

5. Discrete Mathematics

6. Lab: Microcontroller Programming, Analog Circuits

 

Semester 4:

1. Real-Time Operating Systems (RTOS)

2. Communication Systems: Analog & Digital

3. Embedded C Programming

4. Computer Organization & Architecture

5. Control Systems

6. Lab: RTOS, Embedded C Projects

 

Year 3: Advanced Topics & Electives

Semester 5:

1. Embedded System Design: Design Methodologies

2. VLSI Design: FPGA, ASIC Basics

3. IoT & Wireless Communication: Protocols (Bluetooth, Zigbee)

4. Power Electronics

5. Elective-I: Automotive Systems/Robotics

6. Lab: VLSI, IoT Projects

 

Semester 6:

1. Embedded Communication Protocols: CAN, SPI, I2C

2. Digital Signal Processing (DSP)

3. Sensors & Actuators

4. Embedded Linux

5. Elective-II: Medical Devices/AI in Embedded Systems

6. Lab: DSP, Sensor Interfacing

 

Year 4: Specialization & Projects

Semester 7:

1. System-on-Chip (SoC) Design

2. Embedded Security & Cybersecurity

3. Testing & Verification: Validation Techniques

4. Elective-III: Machine Learning/Cyber-Physical Systems

5. Capstone Project-I

6. Internship/Industry Training

 

Semester 8:

1. Advanced Embedded Topics: AI Edge Computing

2. Elective-IV: Automotive Robotics/Drones

3. Capstone Project-II

4. Professional Ethics & Entrepreneurship

5. Seminar/Technical Presentations

 

Electives (Sample Options):

- Automotive Embedded Systems

- Robotics & Automation

- Biomedical Instrumentation

- Embedded AI & Machine Learning

- Advanced RTOS

- Cyber-Physical Systems

Labs & Practicals:

- Integrated throughout each semester for hands-on experience with microcontrollers, FPGAs, IoT devices, and DSP tools.

Capstone Projects:

- Span final year, focusing on real-world applications like smart devices, automation, or IoT solutions.

Internships/Industry Exposure:

- Mandatory in Semester 7/8 to bridge academic and industry practices.