Curriculum Overview for Electronics Program

The Electronics program at Govt Polytechnic Ganai Gangoli is structured to provide a comprehensive understanding of both theoretical foundations and practical applications in the field. The curriculum spans four years, divided into eight semesters, with a balanced mix of core subjects, departmental electives, science electives, and laboratory sessions.

Course Structure Across All Semesters

Semester	Course Code	Course Title	Credit (L-T-P-C)	Prerequisites
Semester I	EC101	Mathematics I	3-1-0-4	-
	EC102	Physics I	3-1-0-4	-
	EC103	Chemistry	3-1-0-4	-
	EC104	Engineering Mechanics	3-1-0-4	-
	EC105	Introduction to Electronics	3-1-0-4	-
Semester II	EC201	Mathematics II	3-1-0-4	EC101
	EC202	Physics II	3-1-0-4	EC102
	EC203	Electrical Circuits and Networks	3-1-0-4	-
	EC204	Basic Electronics	3-1-0-4	EC105
	EC205	Computer Programming	3-1-0-4	-
Semester III	EC301	Signals and Systems	3-1-0-4	EC201, EC202
	EC302	Analog Electronics I	3-1-0-4	EC204
	EC303	Digital Electronics	3-1-0-4	EC204
	EC304	Electromagnetic Fields	3-1-0-4	EC202
	EC305	Engineering Drawing and Graphics	3-1-0-4	-
Semester IV	EC401	Analog Electronics II	3-1-0-4	EC302
	EC402	Microprocessors and Microcontrollers	3-1-0-4	EC303
	EC403	Communication Systems	3-1-0-4	EC301
	EC404	Control Systems	3-1-0-4	EC301
	EC405	Electronics Lab I	0-0-3-1	-
Semester V	EC501	VLSI Design	3-1-0-4	EC401, EC402
	EC502	Power Electronics	3-1-0-4	EC401
	EC503	Wireless Communication	3-1-0-4	EC403
	EC504	Embedded Systems	3-1-0-4	EC402
	EC505	Electronics Lab II	0-0-3-1	-
Semester VI	EC601	Robotics and Automation	3-1-0-4	EC504
	EC602	Computer Vision	3-1-0-4	EC501
	EC603	Advanced Signal Processing	3-1-0-4	EC301
	EC604	Neural Networks and Deep Learning	3-1-0-4	EC301
	EC605	Electronics Lab III	0-0-3-1	-
Semester VII	EC701	Project I (Mini Project)	0-0-6-3	-
	EC702	Advanced Power Electronics	3-1-0-4	EC502
	EC703	Renewable Energy Systems	3-1-0-4	EC502
	EC704	Smart Grid Technologies	3-1-0-4	EC502
	EC705	Electronics Lab IV	0-0-3-1	-
Semester VIII	EC801	Final Year Project / Thesis	0-0-9-6	-
	EC802	Industrial Training	0-0-3-1	-
	EC803	Cybersecurity in Electronics	3-1-0-4	EC503
	EC804	Electronics Elective I	3-1-0-4	-
	EC805	Electronics Elective II	3-1-0-4	-

Advanced Departmental Electives

The department offers several advanced departmental electives that allow students to explore specialized areas within electronics engineering. These courses are designed to meet the growing demands of the industry and provide in-depth knowledge in emerging fields.

VLSI Design

This course focuses on the design and development of Very Large Scale Integration circuits used in modern electronics. Students learn about logic synthesis, layout design, and testing techniques. The course includes hands-on experience with industry-standard EDA tools such as Cadence, Synopsys, and Mentor Graphics.

Power Electronics

The Power Electronics course covers the conversion and control of electrical power using electronic devices. Students study topics such as rectifiers, inverters, DC-DC converters, and motor drives. The course emphasizes practical applications in renewable energy systems and electric vehicle charging infrastructure.

Wireless Communication

This elective explores the principles of wireless transmission, modulation schemes, and network protocols. Students study 5G, Wi-Fi, Bluetooth, and satellite communications. The course includes laboratory sessions involving spectrum analyzers, signal generators, and 5G test equipment.

Embedded Systems

The Embedded Systems course teaches students how to design and develop systems that control hardware devices through software. Topics include real-time operating systems, microcontroller programming, and IoT applications. Students gain hands-on experience with ARM-based development boards and various embedded platforms.

Robotics and Automation

This course combines mechanical engineering, electrical engineering, and computer science to design and build robots. Students learn about sensor integration, motion planning, and artificial intelligence in robotics. The course includes laboratory sessions involving ROS (Robot Operating System) and various robotic platforms.

Computer Vision

The Computer Vision course enables students to understand how machines interpret and understand visual information from the world. Students study image processing, machine learning, and deep learning techniques for vision-based applications. The course includes laboratory sessions involving OpenCV and TensorFlow libraries.

Signal Processing

This elective covers the analysis and manipulation of signals in various domains. Students study digital signal processing, image processing, audio processing, and biomedical signal analysis. The course includes hands-on experience with MATLAB and DSP processors.

Control Systems

The Control Systems course deals with automatic control of dynamic systems. Students learn classical and modern control theory, system modeling, and feedback design. The course includes laboratory sessions involving simulation tools such as MATLAB/Simulink and physical control systems.

Cybersecurity in Electronics

This course addresses security threats in embedded systems and communication networks. Students study cryptographic algorithms, network security protocols, and secure hardware design principles. The course includes laboratory sessions involving penetration testing tools and secure coding practices.

Project-Based Learning Philosophy

The department's philosophy on project-based learning emphasizes hands-on experience, problem-solving skills, and innovation. Students are required to engage in both mini-projects and a final-year thesis or capstone project that integrates knowledge from all areas of study.

Mini-Projects (Semester VII)

The mini-project phase begins in the seventh semester and lasts for one academic year. Students form teams and select projects based on their interests and career aspirations. Projects are supervised by faculty members and often involve collaboration with industry partners or research organizations.

Final-Year Thesis/Capstone Project

The final-year project is a substantial undertaking that requires students to apply everything they have learned in the program. Students work under the guidance of a faculty mentor on a real-world problem that addresses current challenges in electronics engineering. Projects often lead to patent applications, publications, or commercial products.

Project Selection and Mentorship

Students are encouraged to choose projects aligned with their career goals and research interests. Faculty mentors guide students throughout the project lifecycle, from initial concept development to final presentation. The department provides a platform for students to present their work at conferences, symposiums, and industry forums.

Evaluation Criteria

Projects are evaluated based on several criteria including innovation, technical depth, documentation quality, presentation skills, and peer feedback. Students must submit progress reports, final project reports, and give oral presentations to a panel of faculty members and industry experts.