IS 407
Fall 2022 All Classes
Credit: 4 hours.
This course introduces students to data science approaches that have emerged from recent advances in programming and computing technology. They will learn to collect and use data from a variety of sources, including the web, in a modern statistical inference and visualization paradigm. The course will be based in the programming language R, but will also use HTML, regular expressions, basic unix tools, XML, and SQL. Supervised and unsupervised statistical learning techniques made possible by recent advances in computing power will also be covered.
4 undergraduate hours. 4 graduate hours.
This course satisfies the General Education Criteria in
Fall 2022 for:
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
73126
|
Lecture-Discussion
|
ACG
|
9:00AM
-11:50AM
|
W
|
Grad Sch of Lib & Info Science
|
Hendricks, R
|
|
|
|
73127
|
Lecture-Discussion
|
ACU
|
9:00AM
-11:50AM
|
W
|
Grad Sch of Lib & Info Science
|
Hendricks, R
|
|
|
|
75113
|
Online
|
OAG
|
1:00PM
-2:55PM
|
M
|
n.a.
|
Seo, J
|
|
|
|
75114
|
Online
|
OAU
|
1:00PM
-2:55PM
|
M
|
n.a.
|
Seo, J
|
|