Advanced Statistical Computing

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Overview

Subject code

OPR

Course Number

9850

Description

This course is a second course in statistical computing for students who have a working knowledge of at least on general-purpose data analysis software package. The goal of the advanced course is to enable the student to utilize the computer for complex data analyses. The topics covered in the course will include numerical linear algebra, numerical optimization, graphical techniques, numerical approximations, numerical integration, Monte Carlo methods, computationally intensive statistics (e.g. bootstrap, jackknife, permutation tests), and large-scale data analysis. The student will learn to implement these statistical methods by writing extensions to statistical packages.

Career

Graduate

Credits

Value

3

Max

3

Min

3

Course Count

1

Number Of Credits

3

Number Of Repeats

1

Repeatable

No

Contact Use

Yes

Generate Attendance

No

Left Use

Yes

Present Use

Yes

Reason Use

Yes

Tardy Use

Yes

Template Override

No

Time Use

Yes

Attendance Type

Class Meeting

Auto Create

No

Code

LEC

Instructor Contact Hours

3

Default Section Size

35

Final Exam Type

Yes

Include in Dynamic Date Calc

No

Instruction Mode

In Person

LMS File Type

Blackboard CourseInfo 4

Name

Lecture

OEE Workload Hours

0

Optional Component

No

Preferred Room Features

Academic Scheduling

Workload Hours

3