Graduate

Courses

Intelligent Systems Engineering

E511 Machine Learning for Signal Processing

Credits: 3

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.  

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