*Program Overview* 

*Objective*: Equip students with advanced knowledge in electronics, communication systems, signal processing, and embedded technologies. 

*Credits*: 60–70 credits (varies by university), including labs, projects, and a thesis/dissertation. 

 

*Year 1: Core Curriculum* 

*Semester 1* 

1. *ECE 501: Advanced Digital Signal Processing* (4 credits) 

   - Discrete-time signals, FFT, wavelet transforms, and applications in communication systems. 

   - Lab: MATLAB/Simulink simulations. 

2. *ECE 502: Analog and Digital Communication Systems* (4 credits) 

   - Modulation techniques (AM, FM, QPSK), error control coding, and 5G fundamentals. 

3. *ECE 503: VLSI Design* (4 credits) 

   - CMOS circuits, FPGA programming, and ASIC design using CAD tools (Cadence, Verilog). 

   - Lab: Layout design and simulation. 

4. *ECE 504: Electromagnetic Theory & Antennas* (3 credits) 

   - Maxwell’s equations, microwave engineering, and antenna array design. 

 

*Semester 2* 

1. *ECE 505: Embedded Systems & IoT* (4 credits) 

   - Microcontrollers (ARM, Arduino), RTOS, and IoT protocols (MQTT, LoRaWAN). 

   - Lab: Sensor networks and edge computing. 

2. *ECE 506: Optical Communication* (3 credits) 

   - Fiber optics, DWDM systems, and photonic devices. 

3. *ECE 507: Wireless Communication* (4 credits) 

   - MIMO, OFDM, LTE/5G architecture, and RF circuit design. 

4. *ECE 508: Control Systems* (3 credits) 

   - State-space analysis, PID controllers, and robotics applications. 

 

*Year 2: Specializations & Thesis* 

*Specializations* (Choose one track): 

- *Communication Systems*: 6G networks, satellite communication, radar systems. 

- *VLSI & Embedded Systems*: ASIC verification, low-power design, SoC. 

- *Signal Processing & AI*: Machine learning for ECE, biomedical signal analysis. 

- *RF & Microwave Engineering*: MMIC design, terahertz technologies. 

 

*Electives* (Sample Options): 

- ECE 601: Advanced MEMS and Sensors 

- ECE 602: Quantum Communication 

- ECE 603: Machine Learning for Signal Processing 

- ECE 604: Nanoelectronics 

- ECE 605: Cybersecurity in IoT 

 

*Semester 3* 

1. *Specialization Course 1* (4 credits) 

2. *Specialization Course 2* (4 credits) 

3. *ECE 700: Research Methodology* (2 credits) 

   - Technical writing, literature review, and thesis proposal. 

 

*Semester 4* 

1. *ECE 790: Thesis/Dissertation* (12 credits) 

   - Independent research under faculty guidance, with a focus on innovation in ECE. 

   - Examples: Design of a 5G transceiver, AI-based signal compression, IoT security frameworks. 

 

*Labs & Practical Work* 

- *Key Labs*: 

  - DSP Lab (MATLAB, Python) 

  - VLSI Lab (Cadence, Xilinx Vivado) 

  - RF & Microwave Lab (Network analyzers, ADS software) 

  - Embedded Systems Lab (Raspberry Pi, ARM Cortex-M) 

- *Mini-Projects*: 

  - Semester 1–2: Design a frequency synthesizer, IoT-based health monitor. 

  - Semester 3: Implement a machine learning model for signal classification. 

 

*Assessment & Grading* 

- *Exams*: 60% (theory), 40% (practical/projects). 

- *Grading*: A (90+), B (80–89), C (70–79); minimum 70% to pass. 

- *Thesis Evaluation*: Oral defense and peer-reviewed publication (if applicable). 

 

*Additional Requirements* 

- *Internship*: Optional 6–8 weeks in industries like Qualcomm, Intel, or telecom firms. 

- *Workshops*: Certifications in PCB design (Altium), Python for ECE, or 5G NR (via Coursera/edX). 

- *Prerequisites*: Bachelor’s in ECE/EE with coursework in analogue/digital electronics.