M.Tech in Electronics and Communication Engineering (ECE)
Semester-wise syllabus for an M.Tech in Electronics and Communication Engineering (ECE)
Semester 1:
Core Concepts & Foundations
Courses:
1. Advanced Digital Signal Processing (DSP)
- Discrete-time signals, FFT, filter design, adaptive filters, and applications in communication.
2. VLSI Design
- CMOS technology, FPGA/ASIC design, Verilog/VHDL, and low-power circuit design.
3. Communication Systems
- Advanced modulation schemes (QAM, OFDM), error correction coding, and wireless protocols.
4. Embedded Systems
- Microcontroller/ARM architecture, RTOS, and IoT integration.
5. Research Methodology
- Technical writing, data analysis (Python/MATLAB), and research ethics.
Labs:
- VLSI Design Lab (Cadence, Xilinx Vivado)
- DSP Implementation Lab (MATLAB/Simulink, FPGA-based projects)
Semester 2: Specialization & Electives
Core Courses:
1. Optical Communication
- Fiber optics, DWDM systems, laser diodes, and photonic devices.
2. RF and Microwave Engineering
- Antenna design, microwave circuits, S-parameters, and radar systems.
Electives (Examples):
- Wireless Sensor Networks
- Machine Learning for Signal Processing
- 5G and Beyond Networks
- Nanoelectronics and MEMS
- Satellite Communication
Labs:
- RF/Microwave Lab (ANSYS HFSS, CST Studio)
- Embedded Systems Lab (Raspberry Pi/Arduino projects)
Semester 3:
Advanced Electives & Project Work
Electives (Examples):
- IoT and Edge Computing
- Advanced Antenna Design
- Quantum Communication
- Biomedical Signal Processing
- System-on-Chip (SoC) Design
Project/Dissertation:
- Phase 1: Topic selection, literature review, and proposal submission.
- Seminars: Presentations on emerging trends (e.g., 6G, AI-driven ECE applications).
Semester 4: Thesis/Project Completion
Thesis/Project:
- Full-time focus on implementation, simulations, hardware prototyping, or algorithm development.
- Final documentation and viva voce defense.
Additional Components:
- Industrial Internship (optional, often aligned with telecom/electronics firms).
- Workshops: Training in tools like LabVIEW, TensorFlow for ECE, or PCB design (Altium, Eagle).
Elective Tracks (Specializations):
1. VLSI and Embedded Systems
- ASIC/FPGA design, low-power circuits, hardware-software co-design.
2. Communication Systems
- 5G/6G, MIMO, cognitive radio, and network security.
3. Signal Processing and Machine Learning
- AI/ML for image/speech processing, biomedical applications.
4. RF and Microwave Engineering
- Antenna arrays, microwave imaging, radar systems.