Course Schedule
STAT 5660 A —
Statistical Data Analytics
CRN 52236
3.0 credit hours
The course will apply concepts learned in diverse areas of mathematics to data analysis. Topics include clustering and classification, data cleaning, text analysis and document similarities, frequent itemsets and association rules, neural networks, support vector machines, and decision trees. This class has a primary focus on the underlying mathematical theory, with a secondary focus on application. Students will be introduced to R and RStudio for data storage, manipulation, and visualization. Prerequisite(s): A minimum grade of "C" in the following: MATH 2160, MATH 2243, and at least one of MATH 3337 or STAT 5531. Cross Listing(s): STAT 5660G, MATH 5660, MATH 5660G.
Course Details
| College |
Science and Mathematics |
Instructor |
Carden, Stephen |
| Location |
Online Course |
Seats Available |
10 open
(5 / 15)
|
| Instructional Method |
Fully at a distance
More than 95% of class sessions are delivered via distance education technology. This course may require students to travel to campus/designated instructional site to attend orientation, take an exam, or participate in other on-site experiences.
|
Waitlist Available |
0 / 10
|
| Schedule Type |
Asynchronous Instruction
Asynchronous Course: Instruction delivered online without specified meeting days, times, or location.
|
Material Cost |
N/A |
| Semester |
Summer 2022 |
University Store |
Online
|
| Term |
Minimester I |
Course Fees |
N/A
|
Meeting Times
| Dates |
Days |
Time |
Building |
Room |
| May 16 - June 16, 2022
|
- |
-
|
- |
- |