C S 473
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Advanced Machine Learning
Computer ScienceCollege of Computational, Mathematical, & Physical Sciences
Course Description
Understand the fundamental models of machine learning, such as neural networks, decision trees, data mining, clustering, Bayesian learning, ensembles, reinforcement learning, and deep learning. Work with data and machine learning tools in real world applications.
When Taught
Fall and Winter
Min
3
Fixed/Max
3
Fixed
3
Fixed
0
Title
Machine Learning Expertise
Learning Outcome
Students will be able to implement machine learning models and learning algorithms. This fulfills the Intellectually Enlarging aim by requiring students to master the technical "depth" and rigorous logic necessary for professional-grade software development.
Title
Mathematical and Statistical Expertise
Learning Outcome
Students will be able to create new machine learning models using tools from math and stats. This outcome is Intellectually Enlarging as it bridges the "commonality of disciplines" between theoretical mathematics and practical engineering.
Title
Lifelong learning
Learning Outcome
Students will be able to read academic literature and incorporate ideas into their own toolbox.
