|
Oct 04, 2024
|
|
|
|
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: Must be within one year of degree completion Note: None 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. Jeremy Kedziora
Add to Portfolio (opens a new window)
|
|