UP 317
Spring 2026 All Classes
All Classes
Credit: 3 hours.
Entry-level data science course which introduces basic scientific methods, processes, and algorithms to extract and further understand knowledge or insights from all kinds of data in the urban environment. Students will learn a set of fundamental concepts in data science during lectures. The weekly hands-on lab will cover methods and tools of effective data analysis and visualization. This course builds a common foundation for quantitative analysis among undergraduates for a wide application in their capstone/projects.
Prerequisite: UP 116 or equivalent statistical course such as: ACE 261, STAT 100, STAT 107, or STAT 200.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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77958
|
Laboratory
Lecture
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IF
IF
|
9:30AM
-10:50AM
9:30AM
-10:50AM
|
R
T
|
338 Davenport Hall
336 Davenport Hall
|
Douglas, G
Farah Rivadeneyra, I Douglas, G
Farah Rivadeneyra, I |
|