COGS 106
Computational Lab Skills
Teaches programming tools, skills, and conventions for collaborative work in computational cognitive science. Topics covered include program structure, version control, random number generation, plotting, basic model fitting, and numerical optimization methods.
Topics
- program structure
- version control
- random number generation
- plotting
- basic model fitting
- and numerical optimization methods
Topics explicitly listed in official catalogue description
Prerequisites & course information
Teaches programming tools, skills, and conventions for collaborative work in computational cognitive science. Topics covered include program structure, version control, random number generation, plotting, basic model fitting, and numerical optimization methods.
Sources
- Course catalogue ↗2026-2027