Comprehensive Course Listing Across 8 Semesters
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ES01 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | PH101 | Physics for Electronics | 3-1-0-4 | None |
| 1 | CS101 | Introduction to Programming | 2-0-2-3 | None |
| 1 | EC101 | Basic Electrical Circuits | 3-1-0-4 | None |
| 1 | ES02 | Engineering Graphics | 2-1-0-3 | None |
| 2 | ES03 | Engineering Mathematics II | 3-1-0-4 | ES01 |
| 2 | PH102 | Modern Physics and Quantum Mechanics | 3-1-0-4 | PH101 |
| 2 | EC102 | Electronic Devices and Circuits | 3-1-0-4 | EC101 |
| 2 | EC103 | Digital Logic Design | 3-1-0-4 | None |
| 2 | CS102 | Data Structures and Algorithms | 2-0-2-3 | CS101 |
| 3 | EC201 | Signals and Systems | 3-1-0-4 | ES03 |
| 3 | EC202 | Electromagnetic Fields | 3-1-0-4 | PH102 |
| 3 | EC203 | Control Systems | 3-1-0-4 | ES03 |
| 3 | EC204 | Microcontroller Programming | 2-0-2-3 | CS102 |
| 3 | EC205 | VLSI Design Fundamentals | 3-1-0-4 | EC103 |
| 4 | EC301 | Communication Systems | 3-1-0-4 | EC201 |
| 4 | EC302 | Power Electronics | 3-1-0-4 | EC102 |
| 4 | EC303 | Embedded Systems | 3-1-0-4 | EC204 |
| 4 | EC304 | Advanced Digital Design | 3-1-0-4 | EC103 |
| 4 | EC305 | RF and Microwave Engineering | 3-1-0-4 | EC202 |
| 5 | EC401 | Artificial Intelligence & Machine Learning | 3-1-0-4 | EC201 |
| 5 | EC402 | Internet of Things (IoT) | 3-1-0-4 | EC303 |
| 5 | EC403 | Renewable Energy Systems | 3-1-0-4 | EC202 |
| 5 | EC404 | Advanced Microelectronics | 3-1-0-4 | EC102 |
| 5 | EC405 | Robotics and Automation | 3-1-0-4 | EC303 |
| 6 | EC501 | Capstone Project I | 2-0-6-8 | EC303 |
| 6 | EC502 | Advanced Topics in Electronics | 3-1-0-4 | EC401 |
| 6 | EC503 | Quantum Electronics | 3-1-0-4 | PH102 |
| 6 | EC504 | Biomedical Electronics | 3-1-0-4 | EC201 |
| 6 | EC505 | Photonics and Optoelectronics | 3-1-0-4 | EC202 |
| 7 | EC601 | Capstone Project II | 2-0-6-8 | EC501 |
| 7 | EC602 | Internship Training | 0-0-0-4 | EC501 |
| 8 | EC701 | Final Year Thesis/Project | 0-0-8-12 | EC601 |
Advanced Departmental Elective Courses
Artificial Intelligence & Machine Learning (EC401): This course introduces students to the foundational concepts of AI and ML, including supervised and unsupervised learning algorithms, neural networks, deep learning architectures, computer vision, and natural language processing. Students will implement projects using TensorFlow, PyTorch, and scikit-learn, preparing them for roles in AI research labs or product development teams.
Internet of Things (IoT) (EC402): Focused on building connected systems, this course covers sensor integration, wireless communication protocols, cloud connectivity, edge computing, and security considerations. Students will design and deploy IoT solutions for smart homes, agriculture, healthcare, and industrial automation.
Renewable Energy Systems (EC403): This elective explores the principles of solar photovoltaics, wind power generation, energy storage systems, and smart grid integration. Students will model renewable energy systems using MATLAB/Simulink and analyze their performance under various environmental conditions.
Advanced Microelectronics (EC404): Delving into semiconductor physics and fabrication processes, this course covers advanced device structures, doping techniques, and integrated circuit design methodologies. Students will gain hands-on experience with EDA tools like Cadence and Synopsys for designing complex microchips.
Robotics and Automation (EC405): Designed for students interested in robotics, this course covers kinematics, dynamics, control systems, sensor fusion, and path planning. Students will build and program robots using ROS (Robot Operating System) and simulate their behavior in virtual environments.
Quantum Electronics (EC503): This advanced course introduces quantum mechanics concepts relevant to electronics, including lasers, quantum computing, and quantum communication systems. Students will explore the theoretical foundations of quantum information processing and practical applications in secure communications.
Biomedical Electronics (EC504): Bridging electronics with medicine, this course examines medical instrumentation, biosensors, signal processing for physiological data, and implantable devices. Students will develop prototypes for health monitoring systems using microcontrollers and embedded software.
Photonics and Optoelectronics (EC505): Covering light generation, propagation, and detection in optical fibers and photonic crystals, this course explores applications in telecommunications, sensing, and imaging. Students will fabricate basic photonic devices and test their performance in laboratory settings.
Project-Based Learning Philosophy
The department at Electronics Service And Training Centre believes that project-based learning is essential for developing practical engineering skills and preparing students for real-world challenges. The program integrates mandatory mini-projects throughout the curriculum, culminating in a comprehensive final-year thesis or capstone project.
Mini-projects begin in the second year and are designed to reinforce concepts learned in core courses. Each project involves a small team of 3–5 students working under faculty supervision. Projects are selected based on current industry trends and available resources, ensuring relevance and impact.
The final-year capstone project is a significant undertaking that allows students to explore an area of personal interest or industry need. Students can choose from a list of proposed projects provided by faculty members or submit their own ideas for approval. Faculty mentors are assigned based on expertise alignment and availability.
Projects are evaluated using a multi-criteria rubric that includes technical merit, innovation, presentation quality, teamwork, and documentation standards. The evaluation process involves both internal assessment and external review by industry experts or visiting faculty members.
The capstone project culminates in a public presentation and demonstration at the end of the academic year. Successful projects often lead to patent applications, startup incubation, or direct job offers from participating companies.