COMPSCI 101L
Introduction to Computer Science
Susan H. Rodger
Description from DukeHub
Introduction practices and principles of computer science and programming and their impact on and potential to change the world. Algorithmic, problem-solving, and programming techniques in domains such as art, data visualization, mathematics, natural and social sciences. Programming using high-level languages and design techniques emphasizing abstraction, encapsulation, and problem decomposition. Design, implementation, testing, and analysis of algorithms and programs. No previous programming experience required. Not open to students who have taken Computer Science 102, 116, Engineering 103 or Computer Science 201.
Skills
- programmingdescription: "computer science" and 8 more
- data and statisticsdescription: "data visualization" and 1 more
- designdescription: "design" and 1 more
- lab workhas a lab component
AI-resilient: 1 of 5
- Yes: Physical, lab or field work · "laboratory"
- No: Live work with people
- No: Judgment someone is accountable for
- 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
- Data Structures and Algorithms COMPSCI 201
- Introduction to Computer Systems COMPSCI 210D
- Everything Data COMPSCI 216
- Discrete Math for Computer Science COMPSCI 230
- Computer Architecture COMPSCI 250D
- Introduction to Cyber Policy COMPSCI 255