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Graduate Programs
Home / Graduate Programs / Courses / Engineering Applications of Machine Learning and Data Analytics

ECE 523

Engineering Applications of Machine Learning and Data Analytics

Spring
Required Course:
No

Course Level

Graduate

Units

3

Prerequisite(s)

ECE 503 or equivalent

Course Texts

Introduction to Machine Learning, 3rd Ed., Ethem Alpaydin, The MIT Press, 2014. (ISBN: 978-0262028189)
 

Schedule

150 minutes lecture per week

Course Description

Machine learning deals with the automated classification, identification, and/or characterizations of an unknown system and its parameters. There is an overwhelming number of application-driven fields that can benefit from machine learning techniques. This course will introduce you to machine learning and develop core principles that allow you to determine which algorithm to use, or design a novel approach to solving to engineering task at hand. This course will also use software technology to supplement the theory learned in the class with applications using real-world data.

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Department of Electrical & Computer Engineering
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