HK 416
Spring 2026 All Classes
All Classes
Credit: 3 OR 4 hours.
Introduces data analysis techniques commonly applied to empirical studies in healthcare. Equips students with the skills needed to proficiently describe, analyze, and draw meaningful insights from health-related data, leveraging statistical and other data analysis tools. In this course, we will utilize a diverse range of health data sets, enabling students to apply the data analysis techniques to real-world datasets and gain practical experience in the field.
3 or 4 undergraduate hours. 3 or 4 graduate hours. Prerequisite: Quantitative Reasoning I course or equivalent.
This course satisfies the General Education Criteria in
Fall 2022 for:
Quantitative Reasoning II
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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76781
|
Lecture-Discussion
|
G1
|
9:30AM
-10:50AM
|
TR
|
101 Armory
|
Kang, H
|
|
|
|
76782
|
Lecture-Discussion
|
U1
|
9:30AM
-10:50AM
|
TR
|
101 Armory
|
Kang, H
|
|