EC EN 471
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Machine Learning: Foundations and Applications
Electrical and Computer Engineering
Ira A. Fulton College of Engineering
Course Description
Introduction to fundamental concepts of machine learning in an engineering context. Students will learn foundational mathematical principles underlying machine learning, select and implement machine learning algorithms, and evaluate and improve the performance of models. Special attention is given to engineering problems, including those involving time series data and dynamical systems.
When Taught
Winter
Min
4
Fixed/Max
4
Fixed
4
Fixed
0
Recommended
Senior standing recommended.
Note
Laptop recommended.
Title
Foundations
Learning Outcome
Learn the mathematical foundations of machine learning and be able to show how they are different than other types of analysis and predictive methods.
Title
Model Selection and Implementation
Learning Outcome
Select and implement fundamental machine learning models to solve problems relevant to electrical and computer engineering fields.
Title
Model Evaluation and Improvement
Learning Outcome
Evaluate and improve the performance of different types of fundamental machine learning models.
Title
Engineering Applications
Learning Outcome
Apply machine learning methods to time series data and dynamical systems.
