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STAT243

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STAT 243 - Introduction to Statistical Computing

StatisticsGraduateCDSS - Clg of Comp Data Sci & Society

Subject

STAT

Course Number

243

Department

Statistics

Course Level

Graduate

Course Title

Introduction to Statistical Computing

Course Description

Concepts in statistical programming and statistical computation, including programming principles, data and text manipulation, parallel processing, simulation, numerical linear algebra, and optimization.

Minimum

4

Maximum

4

Grading Basis

Default Letter Grade; S/U Option

Prerequisites

Graduate standing.

Repeat Rules

Course may be repeated for credit without restriction.

Student Learning Outcomes

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.

Formats

Laboratory, Lecture

Term

Fall

Duration (in weeks)

15

Minimum Hours

3

Maximum Hours

3

Minimum Hours

2

Maximum Hours

2

Minimum Hours

7

Maximum Hours

7