Comprehensive Course Structure for Electronics Program

Semester	Course Code	Course Title	Credit (L-T-P-C)	Prerequisites
1st Semester	EC101	Engineering Mathematics I	3-1-0-4	-
1st Semester	EC102	Physics for Electronics	3-1-0-4	-
1st Semester	EC103	Chemistry for Electronics	3-1-0-4	-
1st Semester	EC104	Engineering Drawing & Graphics	2-1-0-3	-
1st Semester	EC105	Basic Electrical Engineering	3-1-0-4	-
2nd Semester	EC201	Engineering Mathematics II	3-1-0-4	EC101
2nd Semester	EC202	Electrical Circuits & Networks	3-1-0-4	EC105
2nd Semester	EC203	Digital Logic Design	3-1-0-4	-
2nd Semester	EC204	Electronic Devices & Circuits	3-1-0-4	EC102
2nd Semester	EC205	Programming for Electronics	3-1-0-4	-
3rd Semester	EC301	Signals & Systems	3-1-0-4	EC201
3rd Semester	EC302	Analog Electronics I	3-1-0-4	EC204
3rd Semester	EC303	Microprocessors & Microcontrollers	3-1-0-4	EC205
3rd Semester	EC304	Electronic Measurements & Instrumentation	3-1-0-4	EC202
3rd Semester	EC305	Control Systems	3-1-0-4	EC301
4th Semester	EC401	Analog Electronics II	3-1-0-4	EC302
4th Semester	EC402	Digital Electronics & Logic Design	3-1-0-4	EC303
4th Semester	EC403	Power Electronics & Drives	3-1-0-4	EC202
4th Semester	EC404	Wireless Communication Systems	3-1-0-4	EC301
4th Semester	EC405	Embedded Systems	3-1-0-4	EC303
5th Semester	EC501	VLSI Design	3-1-0-4	EC402
5th Semester	EC502	Optical & Microwave Electronics	3-1-0-4	EC301
5th Semester	EC503	Renewable Energy Systems	3-1-0-4	EC403
5th Semester	EC504	Advanced Signal Processing	3-1-0-4	EC301
5th Semester	EC505	Electromagnetic Fields & Waves	3-1-0-4	EC301
6th Semester	EC601	Advanced Control Systems	3-1-0-4	EC305
6th Semester	EC602	Computer Architecture & Organization	3-1-0-4	-
6th Semester	EC603	Advanced Power Electronics	3-1-0-4	EC403
6th Semester	EC604	Image Processing & Pattern Recognition	3-1-0-4	EC504
6th Semester	EC605	Radiation Electronics	3-1-0-4	-
7th Semester	EC701	Mini Project I	0-0-4-2	-
7th Semester	EC702	Special Topics in Electronics	3-1-0-4	-
7th Semester	EC703	Electronics & Communication Systems	3-1-0-4	-
8th Semester	EC801	Final Year Project	0-0-8-4	-
8th Semester	EC802	Electronics Industry Practices	3-1-0-4	-
8th Semester	EC803	Capstone Research & Innovation	3-1-0-4	-

Advanced Departmental Electives

The department offers several advanced elective courses that allow students to specialize in cutting-edge areas of electronics engineering. These courses are designed to bridge the gap between academic learning and industry requirements, ensuring that students are well-prepared for careers in fast-moving technological fields.

VLSI Design

This course delves into the design and implementation of Very Large Scale Integration (VLSI) systems. Students learn about CMOS technology, logic synthesis, floorplanning, and physical design of integrated circuits. The curriculum includes hands-on lab sessions using industry-standard tools such as Cadence and Synopsys for circuit simulation and layout design.

Optical & Microwave Electronics

This elective explores the principles and applications of optical fiber communication and microwave systems. Topics include laser physics, fiber optic transmission, microwave components, and antenna design. Students gain practical experience in designing and testing optical and microwave circuits through lab experiments and simulations.

Renewable Energy Systems

Focusing on sustainable energy solutions, this course covers photovoltaic systems, wind turbines, energy storage technologies, and smart grid integration. Students learn to model and simulate renewable energy systems using MATLAB/Simulink and evaluate their performance under different conditions.

Advanced Signal Processing

This course introduces advanced techniques in digital signal processing including filter design, spectral analysis, wavelet transforms, and adaptive filtering. Students apply these concepts to real-world applications such as audio processing, biomedical signal analysis, and radar systems.

Electromagnetic Fields & Waves

Exploring the fundamental principles of electromagnetic fields, this course covers Maxwell’s equations, wave propagation, transmission lines, and scattering theory. The emphasis is on understanding how electromagnetic phenomena influence electronic device behavior and system performance.

Image Processing & Pattern Recognition

This elective focuses on techniques used in computer vision and image analysis. Students learn about image enhancement, segmentation, feature extraction, and machine learning algorithms applied to pattern recognition tasks. The course includes practical sessions using Python-based libraries such as OpenCV and scikit-image.

Radiation Electronics

Designed for students interested in space and nuclear applications, this course covers radiation effects on electronic devices, radiation-hardened circuit design, and instrumentation systems used in aerospace environments. Students engage in laboratory experiments involving radiation sources and device characterization techniques.

Computer Architecture & Organization

This course provides an in-depth understanding of modern computer architectures, including instruction set design, pipeline processing, cache memory management, and multi-core processors. Students explore both hardware and software aspects of system design through simulation and assembly language programming exercises.

Project-Based Learning Philosophy

The department places a strong emphasis on project-based learning as a means to enhance student engagement and deepen understanding of complex concepts. Projects are structured to mirror real-world engineering challenges, encouraging students to apply theoretical knowledge in practical contexts.

Mini-Projects (Semester 7)

In the seventh semester, students undertake a mini-project under faculty supervision. The project involves identifying a problem, conducting literature review, designing a solution, building a prototype, and documenting findings. Each project team consists of 3-4 members and is evaluated based on technical depth, creativity, presentation quality, and teamwork.

Final-Year Thesis/Capstone Project (Semester 8)

The final year project is the capstone experience for students, where they work independently or in small teams to develop a substantial engineering solution. Projects can be research-oriented, product development focused, or industry-sponsored. Faculty mentors guide students throughout the process, providing technical expertise and feedback.

Project Selection Process

Students begin selecting projects during the sixth semester by attending project orientation sessions and reviewing available topics. Mentors are assigned based on student preferences and faculty availability. The selection process ensures that projects align with both academic goals and industry relevance.

Evaluation Criteria

Projects are evaluated using a comprehensive rubric covering design methodology, implementation quality, results analysis, report writing, oral presentation, and peer evaluation. Regular progress reviews ensure timely completion of milestones and address any issues that arise during development.