Artificial Neural Systems I
M & W: 5:30 - 7:20 pm
Official WSU Bulletin Data:
ECE 512: Artificial Neural
Prerequisites by Topic:
1. Linear algebra and matrix computations.
2. Linear differential and difference equations.
3. Linear system analysis.
Textbook: Fundamentals of Artificial Neural Networks, Mohamad H. Hassoun (MIT Press, 1995). Will cover selected sections from Chapters 1 - 7.
Faculty: Mohamad H. Hassoun,
Office: 3127 Engineering Bldg.
Office Hours: M & W, 4:30 - 5:20 (or by appointment)
Midterm exam: 30%
Final Exam: 30%
There could also be optional extra-credit assignments which will help students accumulate extra points on Exams.
The “News” link is available for you to check important dates and announcements regarding this course. Please make sure you check it on a regular basis.