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PSTAT232

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PSTAT 232 - Computational Techniques in Statistics

Statistics & Applied Probability College of Letters and Science

Full Course Title

Computational Techniques in Statistics

Instructor Name(s)

Staff

Course Description

Explores computationally-intensive methods in statistics. Topics covered include Fundamentals of Optimization, Combinatorial Optimization, EM algorithm, Monte Carlo simulation, Markov Chain Monte Carlo methods. Lab work is carried out using R or Python.

Unit Value

4

Maximum number of times course can be repeated for additional credit

0

Maximum Units

4

Prerequisites

PSTAT 120A-B-C, PSTAT 126 or equivalent. Knowledge of at least one programming language.