Fundamental concepts and applications of intelligent and interactive system design and implementation. Topics include: problem formulation and experiment design, search techniques and complexity, decision making and reasoning, data acquisition, data pre-processing (de-noising, missing data, source separation, feature extraction, feature selection, dimensionality reduction), supervised learning, unsupervised learning, and swarm intelligence.
3, Lecutre, 0.25, Tut: 0) Lab
PREREQUISITE(S):
ELEC 278, ELEC 326 or permission of the instructorWinter