MATH 160CN
Elements of Mathematical Modeling
Suzanne Crifo
Description from DukeHub
Introductory course providing basic approaches for describing real-world problems. Students will learn and practice the mathematical modeling process, in which they will iteratively identify a real-world problem, define variables, perform mathematics, analyze, test, and refine their solution, and eventually implement their model and present results. A variety of types of models will be introduced, including linear and nonlinear models, discrete dynamical systems, optimization, and statistics. The real-world problems will connect to a running theme throughout each semester.
Skills
- data and statisticstitle: "modeling"
AI-resilient: 0 of 5
- No: Physical, lab or field work
- 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
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