COMPSCI 216
Everything Data
Kristin V. Stephens-Martinez
Description from DukeHub
Study of data and its acquisition, integration, querying, analysis, and visualization. Concepts and computational tools for working with unstructured, semi-structured, and structured data and databases. Interdisciplinary perspectives of data and its impact crossing science, humanities, policy, and social science. Culminating team project applied to real datasets. Prerequisite: 200-level computer science OR 100-level Statistics OR 200-level Math course, or permission of instructor.
Skills
- programmingdepartment: COMPSCI
- data and statisticsdescription: "datasets" and 2 more
AI-resilient: 2 of 5
- No: Physical, lab or field work
- Yes: Live work with people · "team"
- Yes: Judgment someone is accountable for · "policy"
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
More in COMPSCI
- Introduction to Computer Science COMPSCI 101L
- Data Structures and Algorithms COMPSCI 201
- Introduction to Computer Systems COMPSCI 210D
- Discrete Math for Computer Science COMPSCI 230
- Computer Architecture COMPSCI 250D
- Introduction to Cyber Policy COMPSCI 255