Electrical & Computer Engineering Graduate Courses

 

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Electrical & Computer Engineering Graduate Courses

NOTE: Courses may be subject to change. Please check back often. Check your UWinsite for class time/date information.

Course Code / Title

Course Description


Course Code/Title:

ELEC 8540
Automotive Sensor Systems

Course Description:

This course describes topics on sensors, optics & lighting, image representation, feature extraction, image analysis, image classification, 3D imaging techniques, GPS, radar, lidar 3D range imaging, intelligent and night vision, sensor integration and fusion. The students will apply their theoretical knowledge to solve a practical problem by completing a course mini-project.

Course Code/Title:

ELEC 8630
Wireless Communication Systems

Course Description:

Overview of mobile communications, the characterization and modeling of time-variant fading and/or dispersive channels, digital communication system performance over fading dispersive channels, diversity reception, optimum receiver, trellis-coded modulation, (fundamentals, performance evaluation and applications to mobile communications), spread spectrum systems, and code division multiple access (CDMA), TDMA, FDMA, multiple access schemes, CSMA, Aloha. Concepts on wireless ad hoc networks will also be introduced, MAC, routing, QoS protocols for these networks will be covered.


Course Code/Title:

ELEC 8900-02
Special Topics: Analog Integrated Circuit Design

Course Description:

Bipolar and Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFET) technology; device characterization; analog circuit modelling; current sinks, sources, and mirrors; differential pairs; current and voltage amplifiers; differential amplifiers; comparators; operational amplifiers; A/D and D/A converters; Integrated Circuit (IC) implementation with Electronic Design Automation (EDA) tools.

Course Code/Title:

ELEC 8900 (30)
Special Topics: Adv. Energy Storage Systems

Course Description:

This is a graduate level course designed to provide in depth knowledge in energy storage systems, particularly, batteries. This course will introduce important battery management problems, such as, battery fuel gauging, optimal charging, and cell balancing, and introduce engineering approaches to solve them. This course offers hands on experience in battery management through programming examples supported by realistic data

Course Code/Title:

ELEC 8900-49
Special Topics: Multimedia Systems

Course Description:

Multimedia signals: Audio fundamentals; the Human visual system and perception; multimedia data acquisition. Multimedia signal compression: Transforms and sub-band decomposition; text representation; digital text, audio, image, and video compression. Multimedia signal processing: Digital audio, image, and video processing. Multimedia systems.

Course Code/Title:

ELEC 8900-51
Special Topics: Power Systems II

Course Description:

Advanced analytical tools; analysis of abnormal operation, numerical methods, stability and control; transient stability and voltage stability; control and monitoring of power systems; dynamics and control of multi-machine systems; symmetrical faults; symmetrical components; unsymmetrical faults; power system protection and relaying; economic dispatch; optimal power flow; numerical simulation tools in power systems

Course Code/Title:

ELEC 8900-56
Special Topics: Automotive Mechatronics

Course Description:

Overview of automotive powertrain mechatronics; sensors and actuators embedded in advanced IC engine powertrain systems; advanced spark ignition engine operation and electronic control; advanced compression ignition engine operation and electronic control; E-motor operation and control; energy storage and charging systems.

Course Code/Title:

ELEC 8900-70
Special Topics: Computer Networks Security

Course Description:

Introduction to computer networks security; cryptography; public-key and secret key encryption; encryption algorithms; network security mechanisms and techniques; security protocols; authentication and network security services; traditional and emerging Information Technology (IT) security; cybersecurity.

Course Code/Title:

GENG 8010
Engineering Mathematics

Course Description:

The course will cover topics in advanced modern engineering mathematics not addressed in earlier courses and considered to be crucial for more advanced engineering courses at the graduate level. These topics include matrix and numerical analysis, advanced topics in calculus and their application to engineering design problems, and optimization. In particular tools for computer-based system modelling, analysis and engineering design will be addressed.

Course Code/Title:

GENG 8030
Computational Methods & Modeling for Engineering Applications

Course Description:

This course covers the basics of computational analysis for real-world engineering applications. Students will learn the fundamentals of programming and modeling with MATLAB. Topics include Computational Methods, Model Building, for Engineering Projects, Hardware for Real-time Testing, Data Acquisition from Sensors. Students will complete a real-world project in the areas of their interests.