EEE: Electrical And Electronic Engineering Courses

Courses

EEE 3308   Electronic Circuits I

College of Sci and Engineering, Department of Electrical & Computer Engineer

3 sh (may not be repeated for credit)
Prerequisite: (EGN 3204 OR EGM 3344) AND ((EEE 3308L* AND EEL 3111))

Fundamentals of analog electronic circuits and systems. A grade of "C" or better is required in the prerequisites. Credit may not be received in both EEE 3308 and EEL 3304.

EEE 3308L   Electronics Laboratory

College of Sci and Engineering, Department of Electrical & Computer Engineer

1 sh (may not be repeated for credit)
Prerequisite: EEE 3308* AND EEL 3111L

Electronic instrumentation devices and systems. Material and supply fee will be assessed. A grade of "C" or better is required in the prerequisites. Credit may not be received in both EEE 4308L and EEL 4304L.

EEE 3396   Solid-State Electronic Devices

College of Sci and Engineering, Department of Electrical & Computer Engineer

3 sh (may not be repeated for credit)
Prerequisite: (EEL 3111) AND (CHM 2045 OR CHM 1045 OR CHM 1045C)

Introduction to the principles of semiconductor electron device operation. A grade of "C" or better is required in the prerequisite.

EEE 4306   Electronic Circuits II

College of Sci and Engineering, Department of Electrical & Computer Engineer

3 sh (may not be repeated for credit)
Prerequisite: EEE 3308/L AND EEE 4306L* AND EEL 3112

Design-oriented continuation of EEL 3304C; feedback on am circuits and applications, digital electronics. A grade of "C" or better is required in the prerequisites.

EEE 4306L   Electronic Circuits II Laboratory

College of Sci and Engineering, Department of Electrical & Computer Engineer

1 sh (may not be repeated for credit)
Prerequisite: EEE 3308/L AND EEE 4306* AND EEL 3112

Electronic Circuits II laboratory. A grade of "C" or better is required in the prerequisites. Material and Supply fee will be assessed. Credit may not be received in both EEE 4306L and EEL 4306L.

EEE 4310   VLSI Circuit Design

College of Sci and Engineering, Department of Electrical & Computer Engineer

3 sh (may not be repeated for credit)
Prerequisite: ((EEE 3308 AND EEL 3701)) AND (CHM 2045 OR CHM 1045 OR CHM 1045C)

Analysis and design of digital circuits using MOS and bipolar devices.

EEE 6730   Special Topics in Intelligent Systems and Robotics

College of Sci and Engineering, Department of Electrical & Computer Engineer

3 sh (may not be repeated for credit)

A independent research-oriented seminar course in the foundations of intelligent systems and robotics. The course is interdisciplinary in nature, providing an integrated view of the relationships between hardware and software in intelligent systems. Students conduct individual or small-group research, present research findings to the class and conduct discussions of the work they present. Admission to the class is by permission of the instructor.

EEE 6734   Bipedal Walking Robots

College of Sci and Engineering, Department of Intelligent Systems & Robotics

3 sh (may not be repeated for credit)
Prerequisite: EEE 6772

The study of walking robots and what it means to balance. Topics include static balance/stability, dynamic balancing and the study of the fundamentals of the inverted pendulum. The course addresses a series of increasingly complex bipedal walkers and various ways to interpret stability including static stability, center of mass, center of pressure, zero moment point and capturability. Concepts include what it means to walk and how complex movement such as running and trotting are achieved, and how disturbances affect walking, such as unexpected step-downs and pushes.

EEE 6772   Foundations of Intelligent Systems & Robotics

College of Sci and Engineering, Department of Intelligent Systems & Robotics

3 sh (may not be repeated for credit)

This course provides an introduction of foundational methods in intelligent systems and robotics. It focuses on the mathematical and algorithmic principles underlying intelligent systems and robotics. Topics include knowledge representation and reasoning, perception and sensing in agents, efficient methods of search, plan creation and execution to solve complex problems, multi-agent systems and interaction, as well as ethical issues of intelligent systems. Students are expected to have a background in data structures, set theory & logic, Calculus II, and probability & statistics.