Hope you are all having a great summer. 

I would like to let you know about a new course to be offered on campus in the fall term: ECE 499 Statistical Signal Processing. This is an updated version of the course that I have taught in the past three years. In this course, I will teach fundamentals of statistical methods that are essential for EECS students (detection, estimation, and statistical learning).  

This course is targeted for two groups of students: (i) engineering students interested in learning about statistical inference approaches (including machine learning) and how they are applied to solve various problems, and (ii) CS students who want to learn about classical detection and estimation theory and the statistical perspective of machine learning (note that ML is essentially about making a statistical inference). 

The prerequisites include basic background in probability (ECE 353 or ST314) and familiarity with Python or MATLAB. 

Please see the attached flyer for the detailed information. Please feel free to reach out to me if you have any questions.

Best,

Jinsub Kim