Learningoutcomes

EC EN 471

Course Purpose

Learning Outcomes

Foundations

Model Selection and Implementation

Model Evaluation and Improvement

Engineering Applications

Instructor created Learning Outcomes

Course Purpose

Learning Outcomes

Foundations

Model Selection and Implementation

Model Evaluation and Improvement

Engineering Applications

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Course Outcome	Program Outcomes
Foundations Learn the mathematical foundations of machine learning and be able to show how they are different than other types of analysis and predictive methods.	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Model Selection and Implementation Select and implement fundamental machine learning models to solve problems relevant to electrical and computer engineering fields.	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Model Evaluation and Improvement Evaluate and improve the performance of different types of fundamental machine learning models.	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices
Engineering Applications Apply machine learning methods to time series data and dynamical systems.	Problem Analysis and Solutions Design, Implement, & Evaluate Computing Solutions Communicate Effectively Legal & Ethical Judgment Teamwork and Management Security Principles and Practices