*Module 1: Core Electronics Engineering Fundamentals* 

- *Advanced Circuit Theory*: 

  - Network analysis, Laplace transforms, frequency response, and filter design. 

- *Semiconductor Physics*: 

  - Band theory, PN junctions, MOSFETs, and advanced device modeling. 

- *Analog Electronics*: 

  - Operational amplifiers, oscillators, analog signal processing, and mixed-signal circuits. 

- *Digital Electronics*: 

  - Combinational/sequential logic, FPGA programming, and VHDL/Verilog. 

 

*Module 2: Embedded Systems & Microcontrollers* 

- *Embedded System Design*: 

  - ARM Cortex-M/A architectures, RTOS (Real-Time Operating Systems), and peripheral interfacing. 

- *IoT & Sensor Networks*: 

  - Wireless protocols (Bluetooth, Zigbee, LoRa), edge computing, and sensor fusion. 

- *Industrial Automation*: 

  - PLC programming, SCADA systems, and Industry 4.0 applications. 

 

*Module 3: VLSI Design & Nanotechnology* 

- *VLSI Design Flow*: 

  - ASIC/FPGA design, RTL synthesis, and physical design (place-and-route). 

- *CMOS Technology*: 

  - FinFETs, low-power design, and process scaling challenges. 

- *Nanoelectronics*: 

  - Quantum dots, graphene-based devices, and MEMS/NEMS. 

 

*Module 4: Communication Systems & Signal Processing* 

- *Digital Communication*: 

  - Modulation techniques (QAM, OFDM), error correction codes, and 5G/6G systems. 

- *Wireless Communication*: 

  - MIMO, beamforming, and satellite communication. 

- *DSP (Digital Signal Processing)*: 

  - FFT, digital filters, and real-time DSP applications (audio/video processing). 

 

*Module 5: Power Electronics & Renewable Energy* 

- *Power Converters*: 

  - DC-DC converters, inverters, and PWM techniques. 

- *Renewable Energy Systems*: 

  - Solar/wind energy integration, grid-tied systems, and energy storage (Li-ion, supercapacitors). 

- *Smart Grids*: 

  - Demand-side management, microgrids, and IoT-enabled energy monitoring. 

 

*Module 6: Advanced Topics in Electronics* 

- *AI/ML in Electronics*: 

  - Neural networks for signal processing, predictive maintenance, and hardware acceleration. 

- *Robotics & Control Systems*: 

  - PID control, robotic kinematics, and embedded control algorithms. 

- *Quantum Computing Basics*: 

  - Qubits, quantum gates, and applications in cryptography. 

 

*Module 7: Professional Practices & Ethics* 

- *Research Methodologies*: 

  - Literature review, experimental design, and data analysis. 

- *Ethics & Standards*: 

  - IEEE standards, intellectual property rights, and environmental regulations (RoHS, WEEE). 

- *Entrepreneurship*: 

  - Startups in IoT, hardware prototyping, and venture capital strategies. 

 

*Electives (Choose 2–3)* 

- *RF & Microwave Engineering*: Antenna design, radar systems, and RF circuit simulation (ADS). 

- *Biomedical Electronics*: Wearable sensors, medical imaging systems, and bioinstrumentation. 

- *Cybersecurity for Embedded Systems*: Secure firmware, encryption, and hardware Trojans. 

- *Advanced FPGA Design*: High-speed serial interfaces (PCIe, SATA) and DSP on FPGA. 

 

*Practical Training & Labs* 

- *Embedded Systems Lab*: STM32/PIC microcontroller projects, IoT device prototyping. 

- *VLSI Lab*: Cadence Virtuoso, SPICE simulations, and FPGA synthesis (Xilinx/Intel). 

- *Power Electronics Lab*: Design of SMPS, solar charge controllers, and motor drives. 

- *Communication Lab*: SDR (Software-Defined Radio), GNU Radio, and spectrum analysis. 

 

*Capstone Project/Thesis* 

- *Industry/Research Collaboration*: 

  - Design a smart system (e.g., AI-powered IoT device, energy-efficient VLSI chip). 

- *Thesis Focus*: 

  - Publishable research on emerging areas like neuromorphic computing, terahertz communication, or sustainable electronics. 

 

*Internship (Mandatory)* 

- 8–12 weeks with electronics firms (e.g., Intel, Qualcomm, Siemens), R&D labs, or startups. 

 

*Assessment Methods* 

- *Exams*: 30% (theory on core subjects). 

- *Projects/Labs*: 40% (simulations, prototypes, reports). 

- *Thesis/Capstone*: 30%. 

 

*Software & Tools* 

- *Design & Simulation*: MATLAB, LTspice, Cadence, Altium Designer. 

- *Programming*: Python, C/C++, Embedded C, TensorFlow Lite. 

- *Hardware*: Arduino, Raspberry Pi, FPGA development boards (Zynq, Cyclone).