IS 445
Fall 2025 Part of Term 1
Aug 25-Dec 10
Credit: 3 OR 4 hours.
Data visualization is crucial to conveying information drawn from models, observations or investigations. This course will provide an overview of historical and modern techniques for visualizing data, drawing on quantitative, statistical, and network-focused datasets. Topics will include construction of communicative visualizations, the modern software ecosystem of visualization, and techniques for aggregation and interpretation of data through visualization. Particular attention will be paid to the Python ecosystem and multi-dimensional quantitative datasets.
3 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 | |
|---|---|---|---|---|---|---|---|---|
|
73217
|
Lecture-Discussion
|
ACG
|
9:00AM
-11:50AM
|
M
|
W109 Turner Hall
|
Chen, J
Turk, M Xia, Y |
|
|
|
73218
|
Lecture-Discussion
|
ACU
|
9:00AM
-11:50AM
|
M
|
W109 Turner Hall
|
Chen, J
Turk, M Xia, Y |
|
|
|
76467
|
Lecture-Discussion
|
BCG
|
12:00PM
-2:50PM
|
M
|
4031 Campus Instructional Facility
|
Ding, K
Liu, G Naiman, J Tang, Y Zheng, G |
|
|
|
76468
|
Lecture-Discussion
|
BCU
|
12:00PM
-2:50PM
|
M
|
4031 Campus Instructional Facility
|
Liu, G
Naiman, J Tang, Y Zheng, G |
|