ECE523

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ECE523 - Engineering Applications of Machine Learning and Data Analytics

Electrical & Computer Engr Graduate UA - UA General

Course Description

Machine learning deals with the automated classification, identification, and/or characterizations of an unknown system and its parameters. There are 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.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Graduate

Enrollment Requirements

017164

May be convened with

Name

Lecture

Workload Hours

3

Optional Component

No

Typically Offered Main Campus

Spring