Capstone I
CAPSTONE I prepares students for an applied capstone project by identifying primary literature, tools, and software, and communicating plans to stakeholders.
Summary
What you’ll be able to do
Conduct a literature review to understand the current state of the art in a specific problem domain
Connect in-class learning experiences to real world datasets and problems.
Use online resources to acquire as-needed libraries, toolsets, and knowledge for solving data-science problems in the study of human behavior.
Present a concise overview of an important problem and a proposed solution to different audiences.
Write a scope-of-work proposal for partners in industry and government.
Develop code implementing a data-science workflow relevant to a specific problem.
Source: UW Guide
Grade history
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Prerequisites
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Student experience
the class
Preparation for the applied capstone project, including identifying the project primary literature, relevant tools, and software and communicating these ideas and plans to relevant stakeholders.
difficulty & workload
No workload feedback recorded.
Topics
- Identifying project primary literature
- Relevant tools and software
- Communicating ideas and plans to stakeholders
- Connecting learning to real-world datasets and problems
- Solving data-science problems in the study of human behavior
Skills
- Conducting literature reviews to understand the state of the art in a specific problem domain.
- Communicating project ideas and plans to relevant stakeholders and presenting overviews to different audiences.
- Identifying relevant tools and software, and using online resources to acquire libraries and toolsets for data-science problems.
- Writing scope-of-work proposals for partners in industry and government.
- Developing code that implements a data-science workflow relevant to a specific problem.
Grades
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Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
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Model & dataset provenance
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"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "8a3a332cafc8a544220d978b886de7b5c37913fe0cf87721fd63771ad2d03006",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}