Electrical Engineering Curriculum Overview
The curriculum for Electrical Engineering at Phonics Group Of Institutions is meticulously designed to provide students with a robust foundation in core engineering principles while offering flexibility to explore specialized areas. The program spans eight semesters, with each semester consisting of core courses, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | PHYS101 | Physics for Engineers | 3-1-0-4 | - |
| 1 | MATH101 | Mathematics I | 4-0-0-4 | - |
| 1 | ECO101 | Engineering Drawing and Graphics | 2-0-2-3 | - |
| 1 | COMP101 | Introduction to Computer Programming | 2-0-2-3 | - |
| 1 | CHEM101 | Chemistry for Engineers | 3-0-0-3 | - |
| 1 | ENG101 | English for Engineering Communication | 2-0-0-2 | - |
| 2 | MATH102 | Mathematics II | 4-0-0-4 | MATH101 |
| 2 | PHYS102 | Electromagnetic Field Theory | 3-1-0-4 | PHYS101 |
| 2 | ELEC101 | Basic Electrical Circuits | 3-1-0-4 | - |
| 2 | ELEC102 | Digital Logic Design | 3-1-0-4 | - |
| 2 | COMP102 | Data Structures and Algorithms | 3-1-0-4 | COMP101 |
| 2 | ENG102 | Technical Writing and Presentation Skills | 2-0-0-2 | - |
| 3 | MATH103 | Mathematics III | 4-0-0-4 | MATH102 |
| 3 | ELEC201 | Circuit Analysis and Synthesis | 3-1-0-4 | ELEC101 |
| 3 | ELEC202 | Signals and Systems | 3-1-0-4 | MATH102 |
| 3 | ELEC203 | Electromagnetic Waves and Transmission Lines | 3-1-0-4 | PHYS102 |
| 3 | ELEC204 | Electrical Machines | 3-1-0-4 | ELEC101 |
| 3 | ELEC205 | Control Systems | 3-1-0-4 | - |
| 4 | MATH104 | Mathematics IV | 4-0-0-4 | MATH103 |
| 4 | ELEC301 | Power Systems Analysis | 3-1-0-4 | ELEC201 |
| 4 | ELEC302 | Electronics Devices and Circuits | 3-1-0-4 | ELEC102 |
| 4 | ELEC303 | Digital Signal Processing | 3-1-0-4 | ELEC202 |
| 4 | ELEC304 | Microprocessors and Microcontrollers | 3-1-0-4 | ELEC102 |
| 4 | ELEC305 | Power Electronics | 3-1-0-4 | ELEC204 |
| 5 | ELEC401 | Renewable Energy Systems | 3-1-0-4 | ELEC201 |
| 5 | ELEC402 | Communication Systems | 3-1-0-4 | ELEC202 |
| 5 | ELEC403 | Industrial Electronics | 3-1-0-4 | ELEC302 |
| 5 | ELEC404 | Embedded Systems Design | 3-1-0-4 | ELEC304 |
| 5 | ELEC405 | Advanced Control Systems | 3-1-0-4 | ELEC205 |
| 6 | ELEC501 | Smart Grid Technologies | 3-1-0-4 | ELEC301 |
| 6 | ELEC502 | Machine Learning for Electrical Engineers | 3-1-0-4 | ELEC303 |
| 6 | ELEC503 | VLSI Design | 3-1-0-4 | ELEC302 |
| 6 | ELEC504 | Signal Processing in Communications | 3-1-0-4 | ELEC303 |
| 6 | ELEC505 | Energy Storage Systems | 3-1-0-4 | ELEC401 |
| 7 | ELEC601 | Research Methodology | 2-0-2-3 | - |
| 7 | ELEC602 | Capstone Project I | 2-0-4-5 | ELEC401 |
| 7 | ELEC603 | Elective I | 3-1-0-4 | - |
| 7 | ELEC604 | Elective II | 3-1-0-4 | - |
| 7 | ELEC605 | Elective III | 3-1-0-4 | - |
| 8 | ELEC701 | Capstone Project II | 2-0-6-7 | ELEC602 |
| 8 | ELEC702 | Advanced Elective I | 3-1-0-4 | - |
| 8 | ELEC703 | Advanced Elective II | 3-1-0-4 | - |
| 8 | ELEC704 | Industrial Internship | 2-0-6-5 | - |
| 8 | ELEC705 | Final Year Project | 2-0-8-10 | ELEC602 |
Advanced Departmental Elective Courses
The department offers a rich selection of advanced departmental electives that allow students to specialize in areas of interest and gain deeper insights into emerging technologies. These courses are designed to provide both theoretical knowledge and practical skills, preparing students for research and industry roles.
One such course is 'Renewable Energy Systems' which explores the design, implementation, and optimization of solar, wind, hydroelectric, and geothermal energy systems. Students learn about grid integration, energy storage solutions, and policy frameworks that support sustainable energy transition. This course is particularly relevant given the growing global emphasis on climate change mitigation.
'Signal Processing in Communications' delves into modern signal processing techniques used in wireless communication networks. Topics include digital modulation schemes, error correction codes, channel estimation, and beamforming algorithms. This course bridges the gap between classical signal theory and contemporary applications in 5G, IoT, and satellite communications.
'Power Electronics and Drives' focuses on the conversion and control of electrical power using semiconductor devices. Students study various power converters, motor drives, and control strategies that are essential for applications in electric vehicles, renewable energy systems, and industrial automation.
'Machine Learning for Electrical Engineers' introduces students to machine learning algorithms and their applications in electrical engineering contexts. The course covers supervised and unsupervised learning, neural networks, deep learning architectures, and reinforcement learning methods tailored for engineering problems.
'Smart Grid Technologies' addresses the integration of renewable energy sources into existing power grids. Students learn about grid stability analysis, demand response systems, smart metering technologies, and cybersecurity in energy infrastructure. This course prepares graduates for leadership roles in the energy transition.
'VLSI Design' explores the design and implementation of very large-scale integrated circuits. Students gain hands-on experience with CAD tools, circuit simulation, and physical layout design. This course is crucial for those interested in semiconductor industry careers or research in nanotechnology.
'Industrial Electronics' covers industrial control systems, programmable logic controllers (PLCs), sensors, actuators, and automation technologies. The course emphasizes practical implementation and troubleshooting of industrial systems, making it highly relevant for students seeking employment in manufacturing and process industries.
'Embedded Systems Design' focuses on designing systems that combine hardware and software components for specific applications. Students learn about microcontrollers, real-time operating systems, embedded C programming, and interfacing with peripheral devices.
'Advanced Control Systems' builds upon foundational control theory by exploring nonlinear systems, state-space representation, optimal control, and robust control methods. This course is ideal for students pursuing research or careers in robotics, aerospace engineering, and automation.
'Energy Storage Systems' examines various energy storage technologies including batteries, supercapacitors, fuel cells, and compressed air energy storage. Students study system design, performance evaluation, and economic analysis of different storage solutions.
Project-Based Learning Philosophy
The department believes in project-based learning as a cornerstone of engineering education. Projects are designed to mirror real-world engineering challenges, encouraging students to apply theoretical concepts in practical settings. This approach fosters critical thinking, teamwork, and innovation.
Mini-projects are assigned throughout the academic year, typically beginning in the second semester. These projects last 3-4 weeks and involve small teams of 3-5 students working under faculty supervision. Projects may range from designing a simple circuit to developing an embedded system prototype.
The final-year thesis/capstone project is a comprehensive endeavor that spans two semesters. Students select topics aligned with their interests or industry needs, often in collaboration with external partners. The project involves literature review, experimental design, data collection, analysis, and presentation of findings.
Faculty mentors play a crucial role in guiding students through their projects. Each student is assigned a faculty mentor who provides technical support, feedback, and direction. Regular meetings and progress reports ensure that projects stay on track.
Evaluation criteria for projects include innovation, technical execution, documentation quality, presentation skills, and team collaboration. Projects are assessed using rubrics that evaluate both individual and group contributions.