Course Structure Overview
The Electronics Engineering program at Government Polytechnic Bash Bagarh is meticulously structured over eight semesters to ensure a progressive and comprehensive understanding of the field. Each semester builds upon previous knowledge, integrating theory with practical application through hands-on laboratory experiences.
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
---|---|---|---|---|
1 | EC101 | Mathematics I | 3-0-0-3 | - |
1 | EC102 | Physics I | 3-0-0-3 | - |
1 | EC103 | Chemistry | 3-0-0-3 | - |
1 | EC104 | Engineering Drawing & Graphics | 2-0-0-2 | - |
1 | EC105 | Basic Electrical Engineering | 3-0-0-3 | - |
1 | EC106 | English Communication Skills | 2-0-0-2 | - |
2 | EC201 | Mathematics II | 3-0-0-3 | EC101 |
2 | EC202 | Physics II | 3-0-0-3 | EC102 |
2 | EC203 | Basic Electronics | 3-0-0-3 | - |
2 | EC204 | Circuit Analysis | 3-0-0-3 | EC105 |
2 | EC205 | Computer Programming | 2-0-2-4 | - |
2 | EC206 | Engineering Mechanics | 3-0-0-3 | - |
3 | EC301 | Mathematics III | 3-0-0-3 | EC201 |
3 | EC302 | Analog Electronics I | 3-0-0-3 | EC203, EC204 |
3 | EC303 | Digital Electronics | 3-0-0-3 | EC203 |
3 | EC304 | Electromagnetic Fields | 3-0-0-3 | EC202 |
3 | EC305 | Signals & Systems | 3-0-0-3 | EC201, EC204 |
3 | EC306 | Electronic Devices | 3-0-0-3 | - |
4 | EC401 | Mathematics IV | 3-0-0-3 | EC301 |
4 | EC402 | Analog Electronics II | 3-0-0-3 | EC302 |
4 | EC403 | Microprocessors & Microcontrollers | 3-0-0-3 | EC303 |
4 | EC404 | Communication Systems | 3-0-0-3 | EC305 |
4 | EC405 | Control Systems | 3-0-0-3 | EC305 |
4 | EC406 | Electromagnetic Compatibility | 3-0-0-3 | EC304 |
5 | EC501 | VLSI Design | 3-0-0-3 | EC402, EC403 |
5 | EC502 | Embedded Systems | 3-0-0-3 | EC403 |
5 | EC503 | Digital Signal Processing | 3-0-0-3 | EC305 |
5 | EC504 | Antenna & Wave Propagation | 3-0-0-3 | EC304 |
5 | EC505 | Power Electronics | 3-0-0-3 | EC302 |
5 | EC506 | Optical Fiber Communications | 3-0-0-3 | EC404 |
6 | EC601 | Robotics & Automation | 3-0-0-3 | EC502, EC405 |
6 | EC602 | Wireless Networks | 3-0-0-3 | EC404 |
6 | EC603 | Machine Learning in Electronics | 3-0-0-3 | EC503 |
6 | EC604 | Digital Image Processing | 3-0-0-3 | EC503 |
6 | EC605 | Renewable Energy Systems | 3-0-0-3 | EC505 |
6 | EC606 | Advanced Topics in Electronics | 3-0-0-3 | - |
7 | EC701 | Capstone Project I | 2-0-0-2 | EC601, EC602 |
7 | EC702 | Project Management | 2-0-0-2 | - |
7 | EC703 | Industry Internship | 0-0-0-4 | - |
7 | EC704 | Entrepreneurship Development | 2-0-0-2 | - |
7 | EC705 | Technical Writing & Presentation | 2-0-0-2 | - |
8 | EC801 | Capstone Project II | 2-0-0-2 | EC701 |
8 | EC802 | Research Methodology | 2-0-0-2 | - |
8 | EC803 | Advanced VLSI Design | 3-0-0-3 | EC501 |
8 | EC804 | Special Topics in Electronics | 3-0-0-3 | - |
8 | EC805 | Professional Ethics & Social Responsibility | 2-0-0-2 | - |
Advanced Departmental Electives
The following advanced departmental electives are offered in the latter semesters to allow students to specialize according to their interests:
- Advanced VLSI Design: This course delves into advanced design techniques for Very Large Scale Integration circuits, including layout design, testing, and optimization strategies. Students explore industry-standard tools like Cadence and Synopsys.
- Machine Learning in Electronics: Integrating AI principles with electronic systems, this course focuses on implementing machine learning algorithms on embedded platforms and developing intelligent hardware-software co-design solutions.
- Wireless Networks: Students study wireless communication protocols, including 5G standards, mesh networks, and IoT architectures. The course emphasizes practical implementation using software-defined radios and wireless testbeds.
- Digital Image Processing: This elective covers advanced image processing techniques such as edge detection, segmentation, feature extraction, and deep learning-based image recognition using tools like OpenCV and MATLAB.
- Renewable Energy Systems: A comprehensive study of solar panels, wind turbines, and energy storage systems. Students learn about grid integration, power conditioning, and control strategies for renewable energy systems.
- Robotics & Automation: Combines mechanical design, sensor integration, and control theory to develop autonomous robots. Projects include mobile robot navigation, robotic arm control, and industrial automation applications.
- Digital Signal Processing: This course explores discrete-time signal processing techniques using FFT, filtering, and spectral analysis. Students implement DSP algorithms in MATLAB and embedded processors.
- Antenna & Wave Propagation: Focuses on the design and analysis of various antenna types including microstrip, dipole, and array antennas. Emphasis is placed on simulation and measurement techniques using CST Microwave Studio and ANSYS.
- Power Electronics: Covers power conversion circuits, inverters, rectifiers, and motor drives. Students build and test switching power supplies and variable frequency drives using real-time simulation tools.
- Optical Fiber Communications: Examines the principles of optical communication including fiber optics, wavelength division multiplexing (WDM), and optical amplifiers. Practical sessions involve designing and testing fiber optic links.
Project-Based Learning Philosophy
At Government Polytechnic Bash Bagarh, we believe that learning through doing is the most effective way to master electronics engineering. Our project-based learning model spans the entire program, starting with small-scale experiments in early semesters and culminating in complex capstone projects in the final year.
The structure of our project system includes:
- Mini-Projects: These are short-term assignments (typically 2-3 weeks) designed to reinforce concepts learned in class. Mini-projects encourage experimentation, teamwork, and innovation. Students often work in groups of 3-5 individuals and receive mentorship from faculty members.
- Capstone Projects: The final year capstone project is a significant endeavor that integrates all the knowledge acquired throughout the program. Students are expected to propose a project idea, conduct feasibility studies, develop prototypes, and present their findings to a panel of experts.
The evaluation criteria for projects include:
- Conceptual clarity
- Technical implementation
- Innovation and creativity
- Teamwork and collaboration
- Presentation and documentation
- Impact on real-world problems
Students select their project topics in consultation with faculty mentors. Each student works closely with a mentor throughout the project lifecycle, ensuring personalized guidance and support. This approach not only enhances technical skills but also builds confidence, leadership, and communication abilities.