Teaching

Electric and Electronic Circuit

Introduces voltage, current, resistance, circuit laws, network theorems, and the analysis of fundamental electrical and electronic circuits.

Power Systems

Covers electric power generation, transmission, distribution, load-flow analysis, system operation, and power-system stability.

Power System Protection

Examines fault analysis, protective relays, instrument transformers, circuit breakers, and protection coordination for electrical networks.

Electrical and Electronic Circuit I

Develops core DC and AC circuit-analysis skills using Kirchhoff’s laws, equivalent circuits, network theorems, and basic electronic components.

Signals and Sensing

Explores signal representation, sensors, measurement principles, signal conditioning, noise reduction, and data-acquisition techniques.

Microcontrollers with Labs

Combines microcontroller architecture and embedded programming with practical laboratories on peripherals, sensors, actuators, and interfacing.

Robotic & Mechatronic Systems Design

Integrates mechanical design, electronics, sensing, actuation, control, and prototyping in the development of robotic and mechatronic systems.

Linear Control Theory

Covers dynamic-system modeling, time and frequency responses, stability analysis, state-space methods, and linear controller design.

Electric Motor Drives

Studies electric-machine models, power converters, modulation, and speed and torque control for modern motor-drive systems.

Electrical and Electronic Circuit II

Extends circuit analysis to transient behavior, sinusoidal steady state, frequency response, resonance, filters, and advanced network applications.

Electrical and Electronic Circuits II with Lab

Reinforces advanced circuit theory through simulation, measurement, experimental analysis, and hands-on laboratory exercises.

Power Electronics

Introduces power-semiconductor devices, rectifiers, DC–DC converters, inverters, modulation methods, and power-converter control.

Optimal Control and Planning

Introduces optimization-based control, dynamic programming, linear-quadratic regulation, and trajectory planning for dynamic systems.

Advanced Optimal Control and Planning

Examines constrained and nonlinear optimal control, model predictive control, numerical optimization, and advanced motion-planning methods.