Comprehensive Course Listing Across 8 Semesters

Detailed Departmental Elective Courses

The department offers a wide range of advanced departmental electives that allow students to specialize in specific areas based on their interests and career aspirations. These courses are designed to provide in-depth knowledge and practical skills needed for professional success.

Advanced Power Electronics

This course delves into the design and analysis of power electronic converters, inverters, and rectifiers. Students explore topics such as resonant converters, multilevel inverters, and high-frequency switching techniques. Practical sessions involve building prototype circuits using simulation tools like MATLAB/Simulink and hardware platforms like FPGA.

Renewable Energy Systems

This elective covers the fundamentals of solar, wind, hydroelectric, and other renewable energy sources. Students study energy conversion technologies, grid integration challenges, and policy frameworks supporting clean energy adoption. The course includes laboratory experiments involving solar panel testing, wind turbine modeling, and battery storage systems.

VLSI Design

Students learn the principles of Very Large Scale Integration (VLSI) design, including logic synthesis, physical layout, and testability considerations. The course emphasizes practical aspects such as designing digital circuits using HDLs like Verilog and VHDL, performing gate-level simulations, and implementing designs on FPGAs.

Industrial Automation

This course introduces students to automation technologies used in manufacturing environments. Topics include programmable logic controllers (PLCs), sensor integration, robotic systems, and human-machine interfaces (HMIs). Students engage in hands-on projects involving industrial control systems and process automation using SCADA software.

Smart Grid Technologies

This track explores the evolution of traditional power grids into smart networks capable of handling distributed generation, demand response, and real-time monitoring. Students examine concepts like smart meters, energy management systems, cybersecurity in power systems, and grid modernization strategies.

Digital Signal Processing

This course focuses on digital signal processing techniques used in audio, image, and biomedical applications. Students study discrete-time signals, Z-transforms, filter design methods, and spectral analysis techniques. Practical labs involve implementing DSP algorithms using MATLAB and embedded platforms like ARM processors.

Communication Systems

This elective covers the theory and practice of analog and digital communication systems. Topics include modulation schemes, error correction codes, multiplexing techniques, and wireless communication protocols. Students work on projects involving voice and data transmission over various media including fiber optics, radio waves, and satellite links.

Electromagnetic Fields

This course provides a comprehensive understanding of electromagnetic field theory and its applications in engineering systems. Students study Maxwell's equations, wave propagation, antenna design, and scattering phenomena. Laboratory experiments include measuring electric and magnetic fields using specialized instruments and analyzing electromagnetic interference (EMI).

Wireless Networks

This track explores wireless communication technologies used in modern networks including cellular systems, Wi-Fi, Bluetooth, and IoT protocols. Students learn about network topologies, routing algorithms, security mechanisms, and QoS considerations. Practical sessions involve setting up wireless networks using software-defined radios (SDRs) and simulating performance metrics.

Embedded Systems

This course introduces students to embedded computing systems used in consumer electronics, automotive systems, and industrial controls. Topics include microcontroller architectures, real-time operating systems (RTOS), interrupt handling, and peripheral interfacing. Students develop firmware for various platforms including ARM Cortex-M series and ESP32 modules.

Project-Based Learning Philosophy

The department strongly believes in project-based learning as a means to bridge the gap between theoretical knowledge and practical application. Our approach is centered on experiential education, where students actively participate in designing, building, testing, and presenting solutions to real-world engineering problems.

Mini-Projects

Mini-projects are mandatory components of the curriculum that span across the first seven semesters. Each project is designed to reinforce concepts learned in core subjects while encouraging creativity and innovation. Students work in teams and receive guidance from faculty mentors throughout the process. Projects can range from developing a simple circuit board to designing a complete embedded system for an application.

Final-Year Thesis/Capstone Project

The final-year project serves as the culmination of the student's academic journey. It requires students to identify a relevant problem, conduct literature review, propose innovative solutions, and implement them using appropriate tools and techniques. The project is supervised by a faculty mentor and evaluated based on originality, technical depth, presentation quality, and overall impact.

Project Selection and Mentorship

Students can choose projects from a list of pre-approved topics or propose their own ideas with approval from the department. Faculty mentors are assigned based on expertise areas and availability, ensuring personalized guidance throughout the project lifecycle. Regular progress reviews and milestone assessments help maintain quality and timely completion.