The course covers mathematical modeling of mechanical, electrical, and electromechanical systems, focusing on transient response, steady-state error, stability, and control design using PID and Lag-Lead compensators.
The course mainly covers topics from mechanical engineering and emphasizes computational aspects of the robotics with focus on forward and inverse kinematics.
This course covers basics of artificial intelligence and machine learning in mechanical engineering.
Here are selected lecture recordings from my courses at Gebze Technical University. More videos are available on my YouTube channel.
The main purpose of this course is to provide the student with a clear and thorough presentation of the theory and application of engineering mechanics.
This course focuses on designing control systems based on root locus, frequency domain, and state-space techniques.
The course covered modeling of free and forced vibrations in single- and multi-degree-of-freedom systems, including force and displacement transmissibility concepts and applications.
The course covered kinematics, kinetics, force-momentum formulation for systems of particles in planar and three-dimensional motions, and rigid bodies in planar motions.
The course covered kinematics, kinetics, force-momentum formulation for systems of particles and rigid bodies in three-dimensional motions.
I view teaching as a collaborative exploration where theoretical rigor meets real-world application. My approach integrates active learning, open-ended assignments, and research-driven examples to foster deep understanding. I aim to create an inclusive, feedback-driven classroom where students grow technically and critically.