CAPSTONE I

Prerequisites & course information

Requisites: Consent of instructor Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Summer 2026 Learning Outcomes: 1. Conduct a literature review to understand the current state of the art in a specific problem domain Audience: Graduate 2. Connect in-class learning experiences to real world datasets and problems. Audience: Graduate 3. Use online resources to acquire as-needed libraries, toolsets, and knowledge for solving data-science problems in the study of human behavior. Audience: Graduate 4. Present a concise overview of an important problem and a proposed solution to different audiences. Audience: Graduate 5. Write a scope-of-work proposal for partners in industry and government. Audience: Graduate 6. Develop code implementing a data-science workflow relevant to a specific problem. Audience: Graduate Learning Outcomes: 1. Conduct a literature review to understand the current state of the art in a specific problem domain Audience: Graduate 2. Connect in-class learning experiences to real world datasets and problems. Audience: Graduate 3. Use online resources to acquire as-needed libraries, toolsets, and knowledge for solving data-science problems in the study of human behavior. Audience: Graduate 4. Present a concise overview of an important problem and a proposed solution to different audiences. Audience: Graduate 5. Write a scope-of-work proposal for partners in industry and government. Audience: Graduate 6. Develop code implementing a data-science workflow relevant to a specific problem. Audience: Graduate