IS 497
Spring 2022 All Classes
All Classes
Topics in Data Analytics & Data Science
Credit: 2 TO 4 hours.
Variety of newly developed and topics courses within Data Analytics & Data Science, intended to augment the existing Information Sciences curricula.
Additional fees may apply. See Class Schedule. 2 to 4 undergraduate hours. 2 to 4 graduate hours. May be repeated if topics vary.
This course satisfies the General Education Criteria in
Fall 2022 for:
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
73695
|
Online
|
DA1
|
9:00AM
-11:50AM
|
R
|
n.a.
|
MacMullen, T
|
|
|
|
73704
|
Online
|
DA2
|
6:00PM
-7:55PM
|
R
|
n.a.
|
Rangarajan, A
|
|
|
|
72289
|
Laboratory-Discussion
|
DAG
|
9:00AM
-11:50AM
|
M
|
12A Grad Sch of Lib & Info Science
|
Weible, J
|
|
|
|
73399
|
Laboratory-Discussion
|
DAU
|
9:00AM
-11:50AM
|
M
|
12A Grad Sch of Lib & Info Science
|
Weible, J
|
|
|
|
72298
|
Online
|
IM3
|
10:00AM
-11:20AM
|
MW
|
n.a.
|
Davis, N
Wickes, E |
|
|
|
72294
|
Online
|
IM4
|
10:00AM
-11:20AM
|
MW
|
n.a.
|
Davis, N
Wickes, E |
|