140.802.01
Baltimore Community Data Science II
Location
East Baltimore
Term
2nd Term
Department
Biostatistics
Credit(s)
1.5
Academic Year
2023 - 2024
Instruction Method
In-person
Friday, 1:30 - 2:50pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Data science coursework and/or experience.
This course is focused on helping students learn how to apply their data science knowledge in non-academic settings. Students will reflect on their role as a statistician in society. They will learn more about being mindful and ethical practitioners of data science techniques to advocate for social change. Students will partner with community-based organizations (CBOs) in Baltimore to work on a data science related goal.
Students will focus on developing:
critical service-learning skills
data science skills
professional skills
Works in teams with a community-based organization (CBO) to: develop data science products (such as a dashboard, data analysis, series of visualizations, etc.), develop training material for CBO users to use and implement the products, develop sustainability/maintenance plans for CBOs to continue with the data science product in the future and how they can continue to use more data science methods more generally.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Assess the key problems that the community based organization aims to solve, and the root causes of these problems.
- Devise and implement a plan for meeting the needs/goals of a community-based organization and evaluate whether the needs/goals were met.
Methods of Assessment
This course is evaluated as follows:
- 20% Presentation(s)
- 80% Final Project