STAT 243
Introduction to Statistical Computing
Concepts in statistical programming and statistical computation, including programming principles, data and text manipulation, parallel processing, simulation, numerical linear algebra, and optimization.
Topics
- Operate effectively in a UNIX environment and on remote servers. Program effectively in languages including R and Python with an advanced knowledge of language functionality and an understanding of general programming concepts. Become familiar with concepts and tools for reproducible research and good scientific computing practices. Understand in depth and make use of principles of numerical linear algebra, optimization, and simulation for statistics-related research.
Official catalogue course objectives and student learning outcomes
Sources
- Course catalogue ↗2026-2027