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.