Course Structure Overview

The Electronics Engineering program at Govt Polytechnic Satpuli is structured into 8 semesters over four years. The curriculum is carefully designed to build upon foundational knowledge and progressively introduce advanced concepts. Students are exposed to both theoretical principles and practical applications through lectures, tutorials, laboratory sessions, and hands-on projects.

Year 1 Semesters

Semester	Course Code	Course Title	Credit (L-T-P-C)	Prerequisites
I	EG101	Engineering Graphics & Design	3-0-0-3	-
I	MAT101	Applied Mathematics I	3-1-0-4	-
I	PHY101	Physics for Electronics	3-1-0-4	-
I	CHE101	Chemistry for Engineers	3-1-0-4	-
I	EC101	Introduction to Electronics	3-1-0-4	-
I	ECE101	Basics of Electrical Circuits	3-1-0-4	-
I	L101	Basic Electronics Lab	0-0-3-2	-
I	L102	Physics Lab	0-0-3-2	-
II	MAT102	Applied Mathematics II	3-1-0-4	MAT101
II	PHY102	Modern Physics & Optics	3-1-0-4	PHY101
II	CHE102	Chemistry of Materials	3-1-0-4	CHE101
II	EC201	Electrical Circuits & Networks	3-1-0-4	EC101
II	ECE201	Digital Logic & Design	3-1-0-4	ECE101
II	L201	Circuit Analysis Lab	0-0-3-2	ECE101
II	L202	Digital Logic Lab	0-0-3-2	ECE101

Year 2 Semesters

Semester	Course Code	Course Title	Credit (L-T-P-C)	Prerequisites
III	MAT201	Applied Mathematics III	3-1-0-4	MAT102
III	EC301	Analog Electronics I	3-1-0-4	EC201
III	ECE301	Microprocessors & Microcontrollers	3-1-0-4	ECE201
III	EC302	Signals & Systems	3-1-0-4	MAT201
III	EC303	Electromagnetic Fields & Waves	3-1-0-4	PHY102
III	L301	Analog Electronics Lab	0-0-3-2	EC301
III	L302	Microprocessor Lab	0-0-3-2	ECE301
IV	MAT202	Applied Mathematics IV	3-1-0-4	MAT201
IV	EC401	Analog Electronics II	3-1-0-4	EC301
IV	ECE401	Digital Signal Processing	3-1-0-4	EC302
IV	EC402	Control Systems	3-1-0-4	EC302
IV	EC403	Electronics Devices & Circuits	3-1-0-4	EC303
IV	L401	DSP Lab	0-0-3-2	ECE401
IV	L402	Control Systems Lab	0-0-3-2	EC402

Year 3 Semesters

Semester	Course Code	Course Title	Credit (L-T-P-C)	Prerequisites
V	EC501	Power Electronics	3-1-0-4	EC401
V	ECE501	Communication Systems	3-1-0-4	EC302
V	EC502	Microelectronic Circuits	3-1-0-4	EC403
V	EC503	Embedded Systems	3-1-0-4	ECE301
V	EC504	Antennas & Wave Propagation	3-1-0-4	EC303
V	L501	Power Electronics Lab	0-0-3-2	EC501
V	L502	Communication Systems Lab	0-0-3-2	ECE501
VI	EC601	VLSI Design	3-1-0-4	EC502
VI	ECE601	Wireless Networks	3-1-0-4	ECE501
VI	EC602	Digital Image Processing	3-1-0-4	EC401
VI	EC603	Robotics & Control	3-1-0-4	EC402
VI	L601	VLSI Lab	0-0-3-2	EC601
VI	L602	Robotics Lab	0-0-3-2	EC603

Year 4 Semesters

Semester	Course Code	Course Title	Credit (L-T-P-C)	Prerequisites
VII	EC701	Advanced Embedded Systems	3-1-0-4	EC503
VII	ECE701	Machine Learning for Electronics	3-1-0-4	EC401
VII	EC702	Internet of Things (IoT)	3-1-0-4	EC503
VII	EC703	Signal Processing Applications	3-1-0-4	EC401
VII	EC704	Capstone Project I	0-0-6-6	EC603
VIII	EC801	Advanced VLSI Design	3-1-0-4	EC601
VIII	ECE801	Artificial Intelligence in Electronics	3-1-0-4	ECE701
VIII	EC802	Capstone Project II	0-0-6-6	EC704
VIII	EC803	Research Methodology	3-1-0-4	-

Advanced Departmental Electives

Departmental electives in the Electronics program are designed to give students exposure to cutting-edge technologies and specialized domains. These courses are taught by faculty members who are experts in their fields and have extensive industry experience.

Elective Course Descriptions

• Machine Learning for Electronics: This course introduces students to machine learning algorithms and their applications in electronics. It covers supervised and unsupervised learning techniques, neural networks, deep learning frameworks like TensorFlow and PyTorch, and how these are used in signal processing, sensor data analysis, and predictive maintenance systems.
• Internet of Things (IoT): The IoT course explores the architecture, protocols, and applications of interconnected devices. Students learn about wireless communication, embedded systems, cloud integration, security considerations, and real-time data analytics in IoT ecosystems.
• Advanced VLSI Design: This elective focuses on advanced topics in Very Large Scale Integration (VLSI) design including ASIC design flow, synthesis, verification, and testing. Students work with industry-standard tools like Cadence and Mentor Graphics to design complex integrated circuits.
• Signal Processing Applications: Students study practical applications of digital signal processing such as audio processing, image enhancement, biomedical signal analysis, and speech recognition systems. Hands-on labs involve MATLAB-based simulations and real-time implementation using DSP processors.
• Power Electronics and Drives: This course covers power electronic converters, motor drives, renewable energy integration, and smart grid technologies. Students gain hands-on experience in designing and simulating power conversion circuits for various applications.
• Wireless Communication Systems: The course delves into modern wireless communication standards including 5G, LTE, Wi-Fi, Bluetooth, and satellite communications. It includes both theoretical aspects and practical implementation of modulation schemes, error correction techniques, and network optimization strategies.
• Robotics and Automation: This elective teaches the principles of robotics including kinematics, dynamics, control systems, sensor integration, and autonomous navigation. Students build and program robots using microcontrollers, actuators, sensors, and AI-based decision-making systems.
• Digital Image Processing: Covering fundamental concepts of image enhancement, restoration, segmentation, feature extraction, and pattern recognition, this course prepares students for careers in computer vision, medical imaging, and multimedia applications.
• Microelectronic Circuits: Designed to deepen understanding of semiconductor device physics and circuit design, this course covers MOSFET modeling, amplifier design, oscillators, and analog integrated circuits. Students gain proficiency in designing low-power, high-efficiency circuits for modern electronics.
• Embedded Systems Programming: This course provides practical training in embedded C programming, real-time operating systems (RTOS), ARM Cortex-M architecture, and hardware-software co-design techniques. It emphasizes building responsive, efficient systems for IoT and automation applications.

Project-Based Learning Philosophy

The Electronics program at Govt Polytechnic Satpuli embraces a robust project-based learning (PBL) approach to foster innovation, critical thinking, and collaborative skills. The philosophy behind PBL is to provide students with authentic learning experiences that mirror real-world engineering challenges.

Mini Projects

In the second year, students undertake mini-projects under faculty supervision. These projects typically last 2-3 months and are designed to reinforce classroom learning while encouraging creativity and problem-solving. Topics may include designing a simple electronic device, implementing a control system, or developing a basic IoT solution.

Final Year Thesis/Capstone Project

The final year capstone project is the most significant component of the program. Students are required to complete an original research or development project that demonstrates their ability to apply advanced concepts and technologies. Projects are selected in consultation with faculty mentors and often involve collaboration with industry partners.

Project Selection Process

The selection process for capstone projects involves a proposal submission phase where students identify potential topics based on their interests and career goals. Faculty mentors guide students through literature review, methodology planning, and feasibility assessment. Projects are evaluated based on innovation, technical depth, and practical relevance.

Evaluation Criteria

Projects are assessed based on several criteria including technical execution, documentation quality, presentation skills, peer evaluation, and final deliverables. Students must submit detailed reports, conduct presentations, and defend their work in front of a panel of experts.