Electronics Curriculum Overview
The Electronics curriculum at Phonics Group Of Institutions is meticulously structured to provide students with a strong theoretical foundation, combined with extensive practical exposure and real-world problem-solving skills. The program spans eight semesters, with each semester building upon the previous one to create a comprehensive learning experience.
| SEMESTER | COURSE CODE | COURSE TITLE | CREDIT STRUCTURE (L-T-P-C) | PREREQUISITES |
|---|---|---|---|---|
| 1 | ENG101 | English for Engineers | 3-0-0-3 | - |
| 1 | MAT101 | Calculus and Differential Equations | 4-0-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-0-0-3 | - |
| 1 | CHM101 | Chemistry for Engineers | 3-0-0-3 | - |
| 1 | EG101 | Engineering Graphics | 2-0-0-2 | - |
| 1 | ECE101 | Introduction to Electronics | 3-0-0-3 | - |
| 1 | CP101 | Computer Programming | 2-0-0-2 | - |
| 1 | ESC101 | Engineering Science | 3-0-0-3 | - |
| 2 | MAT201 | Linear Algebra and Probability | 4-0-0-4 | MAT101 |
| 2 | PHY201 | Modern Physics | 3-0-0-3 | PHY101 |
| 2 | ECE201 | Electrical Circuits and Networks | 4-0-0-4 | ECE101 |
| 2 | EEE201 | Basic Electrical Engineering | 3-0-0-3 | - |
| 2 | CP201 | Data Structures and Algorithms | 3-0-0-3 | CP101 |
| 2 | ES201 | Engineering Ethics | 2-0-0-2 | - |
| 2 | LAB201 | Basic Electronics Lab | 0-0-3-1 | ECE101 |
| 3 | MAT301 | Transform Calculus and Complex Variables | 4-0-0-4 | MAT201 |
| 3 | ECE301 | Digital Logic Design | 4-0-0-4 | ECE201 |
| 3 | ECE302 | Analog Electronics | 4-0-0-4 | ECE201 |
| 3 | ECE303 | Signals and Systems | 4-0-0-4 | MAT201 |
| 3 | ECE304 | Microprocessor Architecture | 3-0-0-3 | CP201 |
| 3 | ECE305 | Electromagnetic Fields | 3-0-0-3 | PHY201 |
| 3 | LAB301 | Digital and Analog Electronics Lab | 0-0-3-1 | ECE201 |
| 4 | MAT401 | Numerical Methods | 4-0-0-4 | MAT301 |
| 4 | ECE401 | VLSI Design | 4-0-0-4 | ECE302 |
| 4 | ECE402 | Control Systems | 4-0-0-4 | ECE303 |
| 4 | ECE403 | Communication Systems | 4-0-0-4 | ECE303 |
| 4 | ECE404 | Embedded Systems | 3-0-0-3 | ECE304 |
| 4 | ECE405 | Power Electronics | 3-0-0-3 | ECE201 |
| 4 | LAB401 | Advanced Electronics Lab | 0-0-3-1 | ECE302 |
| 5 | ECE501 | Microelectronics | 4-0-0-4 | ECE302 |
| 5 | ECE502 | Signal Processing | 4-0-0-4 | ECE303 |
| 5 | ECE503 | Wireless Communications | 4-0-0-4 | ECE303 |
| 5 | ECE504 | Renewable Energy Systems | 3-0-0-3 | ECE405 |
| 5 | ECE505 | Artificial Intelligence | 3-0-0-3 | CP201 |
| 5 | LAB501 | Specialized Electronics Lab | 0-0-3-1 | ECE401 |
| 6 | ECE601 | Advanced VLSI Design | 4-0-0-4 | ECE401 |
| 6 | ECE602 | Machine Learning | 4-0-0-4 | ECE502 |
| 6 | ECE603 | Optical Communication | 4-0-0-4 | ECE303 |
| 6 | ECE604 | RF and Microwave Engineering | 4-0-0-4 | ECE501 |
| 6 | ECE605 | Robotics and Automation | 3-0-0-3 | ECE402 |
| 6 | LAB601 | Research & Development Lab | 0-0-3-1 | ECE501 |
| 7 | ECE701 | Capstone Project I | 2-0-0-2 | ECE602 |
| 7 | ECE702 | Special Topics in Electronics | 3-0-0-3 | ECE601 |
| 7 | ECE703 | Project Management | 2-0-0-2 | - |
| 7 | ECE704 | Entrepreneurship | 2-0-0-2 | - |
| 7 | LAB701 | Final Year Project Lab | 0-0-6-2 | ECE501 |
| 8 | ECE801 | Capstone Project II | 4-0-0-4 | ECE701 |
| 8 | ECE802 | Internship | 0-0-0-6 | - |
| 8 | ECE803 | Professional Development | 2-0-0-2 | - |
| 8 | ECE804 | Research Methodology | 2-0-0-2 | - |
| 8 | LAB801 | Final Year Project Lab | 0-0-6-2 | ECE701 |
Advanced Departmental Electives
The department offers a wide array of advanced elective courses that allow students to delve deeper into specialized areas of interest. These courses are designed in consultation with industry experts and academic leaders to ensure relevance and depth.
Artificial Intelligence and Machine Learning
This course introduces students to fundamental concepts of AI and ML, including supervised and unsupervised learning, neural networks, deep learning frameworks like TensorFlow and PyTorch, natural language processing, computer vision, reinforcement learning, and ethical considerations in AI. Students work on projects involving real datasets and deploy models in cloud environments.
Optical Communication Systems
This course covers the principles of optical fiber communication, including light propagation, modulation techniques, photonic devices, fiber optic components, wavelength division multiplexing (WDM), and system design. Students gain hands-on experience with simulation tools like MATLAB and SPICE.
RF and Microwave Engineering
This course explores the theory and application of radio frequency and microwave engineering, covering transmission lines, waveguides, antennas, microwave components, and measurement techniques. Students engage in lab experiments involving network analyzers, spectrum analyzers, and vector network analyzers.
Robotics and Automation
This course introduces robotics concepts, including kinematics, dynamics, control systems, sensor integration, programming with ROS (Robot Operating System), and mobile robot design. Students build and program robots for various tasks like navigation, manipulation, and autonomous operation.
Power Electronics and Drives
This course focuses on power conversion techniques, including rectifiers, inverters, DC-DC converters, AC drives, and motor control systems. Students study switching devices like IGBTs, MOSFETs, and thyristors, and gain practical experience in designing power electronic circuits.
Advanced VLSI Design
This course covers advanced topics in VLSI design such as logic synthesis, physical design, verification methods, testability design, and low-power design techniques. Students use CAD tools like Cadence and Synopsys for circuit design and simulation.
Signal Processing for Communications
This course delves into digital signal processing techniques used in communication systems, including filtering, spectral analysis, modulation schemes, and error correction codes. Students work on projects involving MATLAB-based simulations and real-time implementations using FPGAs.
Internet of Things (IoT) and Embedded Systems
This course explores IoT architecture, wireless protocols, sensor integration, embedded programming, cloud connectivity, and security considerations in IoT systems. Students develop IoT applications using platforms like Arduino, Raspberry Pi, and ESP32.
Nanotechnology and Microfabrication
This course introduces the principles of nanoscale physics and fabrication techniques used in microelectronics and semiconductor devices. Students learn about quantum mechanics, surface science, thin-film deposition, lithography, and device characterization methods.
Control Systems and Applications
This course covers modern control theory, including state-space representation, stability analysis, controller design, and system identification. Students apply these concepts in designing controllers for industrial processes, robotics, and aerospace systems.
Project-Based Learning Philosophy
At Phonics Group Of Institutions, project-based learning is central to the Electronics program. It encourages students to apply theoretical knowledge to solve real-world problems while developing critical thinking and teamwork skills.
The structure of project-based learning includes:
- Mini-projects in the third and fourth years
- Capstone projects in the seventh and eighth semesters
- Industry-sponsored projects with external partners
- Research opportunities through faculty mentorship
The evaluation criteria for these projects are based on:
- Technical execution and innovation
- Teamwork and collaboration
- Presentation skills and documentation
- Impact and scalability of the solution
Students are encouraged to select their own project topics or propose ideas aligned with faculty research interests. Each student is paired with a faculty mentor who guides them through the research process, ensuring that projects meet academic standards while fostering creativity.