How to Register for Your Courses:
You’ll register through MyUW. View Step #4 on this webpage for detailed instructions.
Additional Information:
- Many of our courses are offered under advanced topics numbers like 590, 538, 596, 598, and 592. The actual subject/ topic of the course is listed below, but what you’ll see when you register is the advanced topic title. For example, instead of “EE P 596: Deep Learning for Big Visual Data “Advanced Topics in Signal and Image Processing”. You’re allowed up to 16 credits (4 classes) of the same number as long as the topic is different, so don’t worry about duplicate course numbers.
- Is the class you’re interested in closed? Sign up for NotifyUW, which will send you an email or text message if/when a spot opens up!
- Only enroll in the credits you intend to complete. Full-time is 10 credits, and we allow a max of 12 (we will ask you to drop excess credits).
Taking Non-PMP Courses:
- Students can utilize a max of 3 classes/ 12 credits outside of the PMP curriculum towards their degree
- Daytime EE courses are considered non-PMP courses
- Courses must be STEM related or advances your career interests (please check with me first to make sure it will apply!)
- Only one non-EE class can be at the 300 level. The rest must be at the 400 or 500 level.
- Not all classes are available for all students. Please view the notes section of the class to check for any restrictions. If you’re not eligible to register for a class outside of ECE, we’re unfortunately unable to make exceptions and you’ll need to contact that department for further assistance.
Course Offerings:
Below are the courses we’re offering with links to additional information for your reference. Keep in mind that some of these documents are in draft form or are syllabi from prior offerings, so there could be some changes to the content/ structure.
NEWLY ADDED 7/30! EE P 596: Practical Introduction to Deep Learning Applications and Theory
- SLN 23910, Wednesdays 6-9:50 pm, Kim
- 1 Credit (A): SLN 14608
- 2 Credits (B): SLN 14609
EE P 500: Intellectual Property for Engineers
- SLN 23454, Wednesday 5-5:50 pm, Probst and Gardner
EE P 502: Analytical Methods for Electrical Engineering
- SLN 14610, Wednesday 6-9:50 pm, Bonaci
EE P 524: Applied High Performance Computing (synchronous online)
- SLN 14611, Tuesday 6-9:50 pm, Reinhardt
This is the first class in a sequence of three: Applied High-Performance GPU Computing, GPU-Accelerated Interactive Scientific Visualization Techniques (SciVis), and Advanced GPU Computing and Visualization.
EE P 545: The Self Driving Car: Intro to AI for Mobile Robots
- SLN 14613, Tuesdays 6-9:50 pm, TBD
EE P 568: Deep Learning for Big Visual Data Also view slides here.
- SLN 14615, Monday 6-9:50 pm, Hwang
EE P 569: Wireless Networks for 4G/5G Next Generation Wireless Networks
- SLN 14617, Tuesday and Thursday 4-5:50 pm, Hao
EE P 590: Data Structures and Algorithms for ECE Applications
- SLN 14618, Tuesday and Thursday 4-5:50 pm, Slaughter
EE P 592: Radar Signals and Systems
- SLN 14619, Thursday 6-9:50 pm, Reynolds
EE P 595: Network and Communication Security
- SLN 14620, Monday 6-9:50 pm, TBD
EE P 596: Computer Vision: Deep and Classical Methods
- SLN 14622, Thursday 6-9:50 pm, Birchfield
EE P 598: Digital Systems Design with FPGAs
- SLN 14624, Monday and Wednesday 4- 5:50 pm, Makhsous
EE 598: Engineering Entrepreneurial Systems and Design (this is the 2-credit seminar associated with ENGINE)
- SLN 14236, Fridays 11:30-12:50 pm, Arabshahi
EE P 599: Research in ECE
- SLN 14626. This isn’t a specific course, but rather credits you enroll in if you work with a professor in their lab. You’ll get in touch with a professor/ lab of interest, and if they agree to work with you, you’ll complete a form to receive a registration add code. More information can be found on our Canvas page!