Comprehensive Course Structure
The Electronics Engineering curriculum at Adamas University Kolkata is designed to provide a holistic understanding of electronic systems and their applications. The program spans four years, with each semester carefully structured to build upon previous knowledge while introducing new concepts and technologies.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1st | EE101 | Engineering Mathematics I | 3-1-0-4 | - |
| 1st | EE102 | Basic Electrical Circuits | 3-1-0-4 | - |
| 1st | EE103 | Introduction to Programming | 2-1-2-5 | - |
| 1st | EE104 | Physics for Electronics | 3-1-0-4 | - |
| 1st | EE105 | Chemistry for Engineers | 3-1-0-4 | - |
| 1st | EE106 | Workshop Practice | 0-0-2-2 | - |
| 2nd | EE201 | Engineering Mathematics II | 3-1-0-4 | EE101 |
| 2nd | EE202 | Electronic Devices and Circuits | 3-1-0-4 | EE102 |
| 2nd | EE203 | Signals and Systems | 3-1-0-4 | EE101 |
| 2nd | EE204 | Digital Logic Design | 3-1-0-4 | EE103 |
| 2nd | EE205 | Computer Organization and Architecture | 3-1-0-4 | EE103 |
| 2nd | EE206 | Lab Practice I | 0-0-4-2 | - |
| 3rd | EE301 | Microprocessor and Microcontroller | 3-1-0-4 | EE202 |
| 3rd | EE302 | Control Systems | 3-1-0-4 | EE201 |
| 3rd | EE303 | Communication Engineering | 3-1-0-4 | EE203 |
| 3rd | EE304 | Electromagnetic Fields and Waves | 3-1-0-4 | EE104 |
| 3rd | EE305 | Probability and Statistics for Engineers | 3-1-0-4 | EE101 |
| 3rd | EE306 | Lab Practice II | 0-0-4-2 | - |
| 4th | EE401 | VLSI Design Principles | 3-1-0-4 | EE202 |
| 4th | EE402 | Embedded Systems | 3-1-0-4 | EE301 |
| 4th | EE403 | Wireless Communication | 3-1-0-4 | EE303 |
| 4th | EE404 | Power Electronics and Drives | 3-1-0-4 | EE202 |
| 4th | EE405 | Renewable Energy Systems | 3-1-0-4 | - |
| 4th | EE406 | Lab Practice III | 0-0-4-2 | - |
| 5th | EE501 | Advanced Digital Signal Processing | 3-1-0-4 | EE303 |
| 5th | EE502 | Machine Learning for Signal Processing | 3-1-0-4 | EE303 |
| 5th | EE503 | Optical Communication Systems | 3-1-0-4 | EE303 |
| 5th | EE504 | Advanced Control Systems | 3-1-0-4 | EE302 |
| 5th | EE505 | Research Methodology | 2-1-0-3 | - |
| 5th | EE506 | Lab Practice IV | 0-0-4-2 | - |
| 6th | EE601 | Special Topics in Electronics Engineering | 3-1-0-4 | EE501 |
| 6th | EE602 | Mini Project I | 0-0-8-4 | - |
| 6th | EE603 | Elective Course A | 3-1-0-4 | - |
| 6th | EE604 | Elective Course B | 3-1-0-4 | - |
| 6th | EE605 | Lab Practice V | 0-0-4-2 | - |
| 7th | EE701 | Mini Project II | 0-0-8-4 | - |
| 7th | EE702 | Final Year Thesis/Project | 0-0-12-8 | - |
| 7th | EE703 | Elective Course C | 3-1-0-4 | - |
| 7th | EE704 | Elective Course D | 3-1-0-4 | - |
| 7th | EE705 | Lab Practice VI | 0-0-4-2 | - |
| 8th | EE801 | Final Year Thesis/Project | 0-0-12-8 | - |
| 8th | EE802 | Elective Course E | 3-1-0-4 | - |
| 8th | EE803 | Elective Course F | 3-1-0-4 | - |
| 8th | EE804 | Professional Practice and Internship | 0-0-12-6 | - |
Detailed Elective Course Descriptions
The department offers a variety of advanced electives that allow students to explore specialized areas within electronics engineering. These courses are designed to provide in-depth knowledge and practical skills relevant to current industry trends.
- Advanced Digital Signal Processing: This course covers advanced topics in digital signal processing including filter design, spectral analysis, and adaptive filtering techniques. Students learn how to implement these concepts using MATLAB and other simulation tools.
- Machine Learning for Signal Processing: Integrating machine learning with signal processing, this course explores algorithms such as neural networks, support vector machines, and deep learning models applied to real-time signal analysis.
- Optical Communication Systems: Students study the principles of optical fiber communication, including transmission media, modulation schemes, and network architectures used in modern telecommunications.
- Advanced Control Systems: This course delves into nonlinear control theory, state-space methods, and robust control design. It prepares students for advanced applications in robotics and automation.
- Special Topics in Electronics Engineering: An interdisciplinary course that addresses emerging trends such as quantum computing, neuromorphic engineering, and bioelectronics. Topics vary annually based on faculty expertise and industry demand.
- RF Circuit Design: Focuses on designing high-frequency circuits for wireless communication systems. Students gain hands-on experience with RF simulation tools and physical layout techniques.
- Power System Analysis: Covers power flow studies, stability analysis, and protection schemes in electrical networks. Ideal for students interested in renewable energy integration and smart grid technologies.
- Robotics and Automation: Combines mechanical design, electronics control, and artificial intelligence to develop autonomous systems. Projects include building robotic arms, mobile robots, and automated manufacturing lines.
Project-Based Learning Approach
The program strongly emphasizes project-based learning throughout the curriculum. From early semesters, students engage in laboratory experiments that reinforce theoretical concepts. As they progress, these projects evolve into more complex tasks involving research, design, and implementation of real-world solutions.
Mini-projects are assigned during the 6th semester and serve as a bridge between coursework and the final year thesis. Students work individually or in teams under faculty supervision to solve practical problems using electronic systems. Evaluation criteria include innovation, technical execution, documentation quality, and presentation skills.
The final year thesis is a significant component of the program. It allows students to apply their knowledge to a substantial research question or engineering challenge. The project selection process involves consultations with faculty mentors who guide students through literature review, experimental design, data analysis, and report writing. Successful completion results in a polished portfolio that demonstrates readiness for professional roles or further academic pursuits.