Dear all, I hope that you are preparing well for the start of the term. I would like to share this course announcement one more time in case some of you missed my earlier email. In the fall term, a senior level special topic course related to statistical inference and machine learning will be offered: ECE499/CS499 Statistical Signal Processing (MW10:00-11:50am). In this course, I will teach fundamentals of statistical methods that are essential for EECS students (detection, estimation, and machine learning). Although the course title includes "signal" in it, knowledge of signals or systems is not required at all. Several CS students (interested in machine learning) took this course in the past years without a difficulty. All you need is basic background in probability (check the prerequisites below). 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