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Overview

Mathematics & Statistics (Sci) : Introduction to statistical modelling, likelihood principle and maximum likelihood estimation, Bayesian principle and Bayesian estimation, with emphasis on their application in statistical analysis and data science.

Terms: Winter 2025

Instructors: Lee, Kiwon (Winter)

• Prerequisites: MATH 203, and MATH 206 and MATH 208, or equivalent

• Restrictions: Not open to students who have received credits for MATH 324.