Course Structure Overview
The Electronics Engineering program at SHA SHIB COLLEGE OF TECHNOLOGY is structured over 8 semesters, ensuring a progressive and comprehensive learning journey. The curriculum balances foundational theory with practical application through lab work and project-based assignments.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | ECE101 | Introduction to Electronics | 3-0-0-3 | - |
| 1 | CSE101 | Computer Programming | 2-0-2-3 | - |
| 1 | ENG102 | Engineering Drawing | 1-0-0-1 | - |
| 1 | LIT101 | English for Engineers | 2-0-0-2 | - |
| 2 | ENG103 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | PHY102 | Modern Physics | 3-1-0-4 | PHY101 |
| 2 | ECE102 | Circuit Analysis | 3-1-0-4 | ECE101 |
| 2 | ECE103 | Digital Logic Design | 3-1-0-4 | ECE101 |
| 2 | CSE102 | Data Structures and Algorithms | 2-0-2-3 | CSE101 |
| 2 | ECE104 | Electronics Devices and Circuits | 3-1-0-4 | ECE101 |
| 3 | ENG201 | Signals and Systems | 3-1-0-4 | ENG103 |
| 3 | ECE201 | Electromagnetic Fields | 3-1-0-4 | PHY102 |
| 3 | ECE202 | Microprocessors and Microcontrollers | 3-1-0-4 | ECE103 |
| 3 | ECE203 | VLSI Design | 3-1-0-4 | ECE104 |
| 3 | CSE201 | Operating Systems | 2-0-2-3 | CSE102 |
| 3 | ECE204 | Electronic Measurements and Instrumentation | 3-1-0-4 | ECE104 |
| 4 | ECE301 | Digital Signal Processing | 3-1-0-4 | ENG201 |
| 4 | ECE302 | Communication Systems | 3-1-0-4 | ECE201 |
| 4 | ECE303 | Control Systems | 3-1-0-4 | ENG201 |
| 4 | ECE304 | Embedded Systems | 3-1-0-4 | ECE202 |
| 4 | CSE301 | Database Management Systems | 2-0-2-3 | CSE201 |
| 4 | ECE305 | Antennas and Wave Propagation | 3-1-0-4 | ECE201 |
| 5 | ECE401 | Wireless Communication | 3-1-0-4 | ECE302 |
| 5 | ECE402 | Power Electronics | 3-1-0-4 | ECE201 |
| 5 | ECE403 | Neural Networks and Deep Learning | 3-1-0-4 | ECE301 |
| 5 | ECE404 | RF and Microwave Engineering | 3-1-0-4 | ECE305 |
| 5 | ECE405 | Optoelectronics | 3-1-0-4 | ECE201 |
| 5 | ECE406 | Advanced Embedded Systems | 3-1-0-4 | ECE404 |
| 6 | ECE501 | System-on-Chip Design | 3-1-0-4 | ECE303 |
| 6 | ECE502 | Advanced VLSI Testing | 3-1-0-4 | ECE303 |
| 6 | ECE503 | Quantum Electronics | 3-1-0-4 | ECE201 |
| 6 | ECE504 | Robotics and Automation | 3-1-0-4 | ECE303 |
| 6 | ECE505 | Semiconductor Device Physics | 3-1-0-4 | ECE104 |
| 6 | ECE506 | IoT Security | 3-1-0-4 | ECE402 |
| 7 | ECE601 | Capstone Project I | 0-0-6-6 | - |
| 7 | ECE602 | Research Methodology | 2-0-0-2 | - |
| 8 | ECE701 | Capstone Project II | 0-0-6-6 | ECE601 |
| 8 | ECE702 | Industrial Training | 0-0-0-3 | - |
Detailed Departmental Elective Courses
Advanced courses in Electronics Engineering offer specialized knowledge and practical skills that align with industry trends and emerging technologies. Here are descriptions of key departmental electives:
- Digital Signal Processing: This course explores the mathematical foundations of digital signal processing, including filtering, transforms, and spectral analysis. Students learn to implement DSP algorithms using MATLAB and ARM-based processors.
- Wireless Communication: Covers modern wireless communication standards such as 5G, LTE, and Wi-Fi. Topics include modulation schemes, channel coding, and multiple access techniques.
- Power Electronics: Focuses on the design and application of power electronic converters used in renewable energy systems, electric vehicles, and industrial drives.
- Neural Networks and Deep Learning: Introduces students to machine learning concepts with emphasis on neural networks, convolutional networks, and reinforcement learning.
- RF and Microwave Engineering: Explores the principles of radio frequency circuits and microwave systems. Students gain hands-on experience in designing antennas, transmission lines, and filters.
- Optoelectronics: Examines the interaction between light and electronic devices. Applications include lasers, photodetectors, and optical communication systems.
- Embedded Systems: Teaches students to design embedded software and hardware solutions for real-time applications such as automotive systems, medical devices, and smart homes.
- Control Systems: Provides a comprehensive understanding of feedback control systems, stability analysis, and controller design using classical and modern methods.
- VLSI Testing: Focuses on testing strategies for integrated circuits. Students learn about fault modeling, test generation, and built-in self-test techniques.
- Quantum Electronics: Explores quantum mechanical principles applied to electronic devices. Topics include quantum dots, superconductivity, and quantum computing architectures.
Project-Based Learning Philosophy
At SHA SHIB COLLEGE OF TECHNOLOGY, project-based learning is at the heart of the Electronics Engineering curriculum. This approach fosters creativity, teamwork, and real-world problem-solving skills. Students are introduced to mini-projects in their second year, which evolve into capstone projects in their final year.
Mini-projects are designed to allow students to apply theoretical knowledge in practical settings. They typically involve designing a circuit, developing an embedded system, or implementing a software tool. These projects are evaluated based on design documentation, prototype demonstration, and peer reviews.
The final-year thesis project is a culmination of the student's learning journey. It requires students to select a topic under faculty supervision, conduct independent research, and deliver a comprehensive report. The project may lead to publications, patents, or startup ventures. Faculty mentors are selected based on expertise in the chosen domain, ensuring guidance and support throughout the process.