Numerical Data Analysis and Methods

Description from DukeHub

This course introduces numerical analysis and methods that are fundamental and relevant to modern data analysis. The students will get familiar with (1) the basic concepts and methods for data fitting or matching with linear and nonlinear models of continuous variables, (2) the basic numerical solution approaches (direct or iterative) for model solutions (or model-based simulation) and their analysis in approximation and stability, and (3) get numerical computation experience.

Skills

• programmingdepartment: COMPSCI
• data and statisticstitle: "data analysis"

AI-resilient: 0 of 5 0/5

• 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

More in COMPSCI

• Introduction to Computer Science COMPSCI 101L
• 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

All COMPSCI courses · All of Undergraduate