ECE 532: Theory and Applications of Pattern Recognition
2015 Fall Semester

ECE 532 is an introduction to machine learning and pattern recognition that focuses on matrix methods and features real-world applications, ranging from classification and clustering to denoising and data analysis.

Open to all students with a basic mathematics and computing background.

Robert Nowak
and Laurent Lessard

Monday and Wednesday, 11:00am-12:15pm, 2317 Engineering Hall

Office Hours:
Monday, 12:15-1PM, 3539 Engineering Hall
Tuesday, 4-5PM,
3539 Engineering Hall

Textbook: Matrix Methods in Data Mining and Pattern Recognition

Software: Matlab or Python / IPython

Course Overview and Syllabus