Intelligent Systems Engineering
E511 Machine Learning for Signal Processing
Prerequisite(s): Students should be accustomed to Calculus, Linear Algebra, Probability Theory, CSCI-B 555 and one of the scientific programming languages, MATLAB, Python, or R.
The course discusses advanced signal processing topics as an application of machine learning. Hands-on signal processing tasks are introduced and tackled using a problem-solving manner, so students can grasp important machine learning concepts. The course can help students learn to build an intelligent signal processing system in a systematical way.