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Apr 19, 2024
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CSC 7901 - Machine Learning Capstone4 lecture hours 0 lab hours 4 credits
Course Description
Students work on a significant machine learning project that incorporates knowledge from previous coursework. Throughout the project students will be supported by a faculty advisor who will meet regularly for project updates and guidance. The capstone concludes with a final report and presentation to faculty and industry representatives. (prereq: within one year of degree completion)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Integrate and apply knowledge and skills acquired in previous coursework
- Analyze a complex data science problem and apply principles of machine learning to design, implement, and deploy a solution
- Effectively communicate the design, implementation, and impacts of the solution
- Identify and address ethical and governance aspects of the problem and solution
Prerequisites by Topic
- Machine learning
- AI tools
Coordinator
Dr. Eric Durant
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