Courses

Recent Courses

CSE 599J Human Systems and Control for Neurobotics

This course covers the mechanisms of human motor systems and control, using arm movements as an example. The course starts from the anatomy of muscles, sensors, spinal cord, and brain; then functional analysis of these system components will follow. After system analysis, all components are integrated to study feedback control dynamics. Using physiological studies such as psychophysical and lesion experiments, the course covers classic to modern theories of how the nervous systems may control movements. Advance topics include adaptation, representation, coordinate systems, cognitive involvement, and rehabilitation techniques for motor impaired patients.

CSE 370 Introduction to Digital Design

This course is an introductory course in digital logic and its specification and simulation. Boolean algebra, combinational circuits including arithmetic circuits and regular structures, sequential circuits including finite-state-machines, use of programmable logic devices. Simulation and high-level specification techniques are emphasized.

CSE 490I Design in Neurobotics

The field of Neurobotics lies at the intersection of robotics and medicine. It aims to build a robot-human closed loop system to alter the neural control of movement as a way to rehabilitate, assist, and enhance human motor control and learning capabilities. Typically, the primary target population is individuals with strokes, spinal cord injuries, traumatic brain injuries, and other injuries that inhibit daily activities. However, it could also target sports medicine, military, and entertainment applications. This course is an introductory design course in Neurobotics focusing on learning about human neural control of movement, using physiological signals as inputs, and controlling a mechanical device. Students will learn simple control laws, hands on experience and programming in controlling robots, and applying knowledge of human movements to move the robot. There is a design project competition at the end of quarter.

EE 299A Introduction to Signal Conditioning

Introduction to analog circuits interfacing sensors to digital systems. Connection, attenuation, amplification, sampling, filtering, termination, controls. Kirchoff.s Laws, sources, resistors, op amps, capacitors, inductors. PSpice, Matlab. Prerequisites: either Math 126 or Math 136; PHYS 122. Satisfies Computer Engineering requirement. Intended for non-EE majors.