Hi all, Hope you are all having a good break. I would like to let you know about a special topic course to be offered in the spring term: ECE499/599, CS499/599 Statistical Signal Processing (MW02:00-03:50pm). In this course, I will teach fundamentals of statistical methods that are essential for EECS students (detection, estimation, and machine learning). This course is targeted for two groups of students: (i) Engineering students interested in learning statistical inference methods (including machine learning) and how they are applied to solve various problems, and (ii) Computer Science students (interested in machine learning) who want to learn about the classical theory of statistical inference 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. The knowledge of signals or systems is not required at all. Please see the attached flyer for detailed information. Please feel free to reach out to me (jinsub.kim@oregonstate.edu<mailto:jinsub.kim@oregonstate.edu>) if you have any questions. Best, Jinsub Kim