Electronics Curriculum Overview
The Electronics program at Balwant Singh Mukhiya Bsm College Of Engineering is structured to provide a comprehensive understanding of electronic principles and applications across multiple domains. The curriculum spans eight semesters, with each semester carefully designed to build upon previous knowledge while introducing new concepts and practical skills.
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
---|---|---|---|---|
1 | EE101 | Mathematics I | 3-1-0-4 | - |
1 | EE102 | Physics for Electronics | 3-1-0-4 | - |
1 | EE103 | Chemistry for Electronics | 3-1-0-4 | - |
1 | EE104 | Engineering Drawing & Graphics | 2-0-0-2 | - |
1 | EE105 | Basic Electrical Engineering | 3-1-0-4 | - |
1 | EE106 | Programming & Problem Solving | 2-0-2-3 | - |
2 | EE201 | Mathematics II | 3-1-0-4 | EE101 |
2 | EE202 | Electromagnetic Field Theory | 3-1-0-4 | EE102 |
2 | EE203 | Digital Logic Design | 3-1-0-4 | EE105 |
2 | EE204 | Electronic Devices & Circuits | 3-1-0-4 | EE105 |
2 | EE205 | Signals & Systems | 3-1-0-4 | EE101 |
2 | EE206 | Computer Programming Lab | 0-0-2-1 | - |
3 | EE301 | Mathematics III | 3-1-0-4 | EE201 |
3 | EE302 | Analog Electronic Circuits | 3-1-0-4 | EE204 |
3 | EE303 | Digital Electronics | 3-1-0-4 | EE203 |
3 | EE304 | Microprocessor & Microcontroller | 3-1-0-4 | EE203 |
3 | EE305 | Control Systems | 3-1-0-4 | EE205 |
3 | EE306 | Analog & Digital Lab | 0-0-2-1 | - |
4 | EE401 | Probability & Statistics | 3-1-0-4 | EE201 |
4 | EE402 | Communication Systems | 3-1-0-4 | EE205 |
4 | EE403 | VLSI Design | 3-1-0-4 | EE303 |
4 | EE404 | Power Electronics | 3-1-0-4 | EE302 |
4 | EE405 | Electromagnetic Wave Propagation | 3-1-0-4 | EE202 |
4 | EE406 | VLSI & Embedded Systems Lab | 0-0-2-1 | - |
5 | EE501 | Advanced Signal Processing | 3-1-0-4 | EE305 |
5 | EE502 | Wireless Communication | 3-1-0-4 | EE402 |
5 | EE503 | Pattern Recognition | 3-1-0-4 | EE401 |
5 | EE504 | Image Processing | 3-1-0-4 | EE401 |
5 | EE505 | Antenna & Microwave Engineering | 3-1-0-4 | EE405 |
5 | EE506 | Signal Processing Lab | 0-0-2-1 | - |
6 | EE601 | Machine Learning | 3-1-0-4 | EE503 |
6 | EE602 | Neural Networks | 3-1-0-4 | EE601 |
6 | EE603 | Renewable Energy Systems | 3-1-0-4 | EE404 |
6 | EE604 | Semiconductor Devices | 3-1-0-4 | EE302 |
6 | EE605 | Optoelectronics | 3-1-0-4 | EE402 |
6 | EE606 | Advanced Communication Lab | 0-0-2-1 | - |
7 | EE701 | Capstone Project I | 2-0-0-2 | EE601, EE603 |
7 | EE702 | Internship | 0-0-0-4 | - |
8 | EE801 | Capstone Project II | 2-0-0-2 | EE701 |
8 | EE802 | Research Thesis | 0-0-0-6 | - |
Advanced Departmental Electives
Several advanced departmental elective courses are offered in the later semesters to provide students with deeper insights into specialized areas of electronics. These include:
- Pattern Recognition: This course explores algorithms and methodologies for pattern recognition, including machine learning techniques, statistical models, and neural networks.
- Neural Networks: Students learn about the architecture, training methods, and applications of artificial neural networks in various domains such as image processing, natural language processing, and data mining.
- Renewable Energy Systems: This course focuses on the integration of renewable energy sources into the power grid, including solar panels, wind turbines, and battery storage systems.
- Semiconductor Devices: A detailed study of semiconductor physics, device structures, and fabrication processes, preparing students for careers in semiconductor manufacturing and design.
- Optoelectronics: An exploration of optical devices such as lasers, photodiodes, and LEDs, with applications in telecommunications, sensing, and display technologies.
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a means to foster critical thinking, innovation, and practical application of knowledge. Students are encouraged to work on projects from the early stages of their academic journey. The mandatory mini-projects in the second and third years provide foundational experience, while the final-year thesis/capstone project allows students to engage in comprehensive research or development initiatives.
Mini-Projects Structure
Mini-projects are assigned during the second and third semesters. Each project has a specific duration of 3-4 weeks, involving teams of 3-5 students. Projects are selected based on student interests and aligned with faculty expertise. The evaluation includes both technical performance and presentation skills.
Final-Year Thesis/Capstone Project
The final-year capstone project is a significant component of the program. Students work individually or in small teams under the guidance of faculty mentors to address real-world problems. The project involves literature review, methodology development, experimentation, analysis, and documentation. Students present their findings at an annual symposium, providing an opportunity for peer feedback and recognition.