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PSTAT194CS

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PSTAT 194CS - Computational Methods in Statistics

Statistics & Applied Probability College of Letters and Science

Full Course Title

Computational Methods in Statistics

Instructor Name(s)

STAFF

Course Description

Using the computational power of a computer has become central to the many fields - modern statistics , data science, machine learning, deep learning, artificial intelligence etc. In this course students develop a working knowledge of modern computational statistics applicable to data science, machine learning, deep learning. Students will develop an understanding of how computers are used to do statistics and why these methods work. This will enable effective use of methods of computational statistics in applications. We will use R programming language.

Min

1

Max

4

Maximum number of times course can be repeated for additional credit

0

Maximum Units

4

Prerequisites

Upper-division standing; consent of instructor.

Advisory Enrollment Comments

Enrollment normally limited to 12 or fewer students.