Modern control and robotic techniques for use in practical applications. Coverage of advanced control methodologies and intelligent robotic systems. [course website]
Discrete-time signals and systems, sampling and reconstruction, A/D and D/A converters, DFT/FFT, z transform, stochastic processes, frequency-selective filters, effect of feedback, introduction to control. [course website]
Applying machine learning methods for solving real-world robotics problems. [course website]
Introduction to probabilistic robotics (based heavily on the Thrun, Burgard and Fox textbook). [course website]
Introduction to Excel and MATLAB for first year engineering students. [course website]
Introduction to the mechanics of static systems for first year engineering students. [course website]
Trajectory generation and control for UAV waypoint following, incorporating software-in-the-loop testing using the Cloud Cap Piccolo autopilot software. [course website]
PCB design for pico-satellite missions. [course website]