HK 416

Spring 2025 All Classes

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Applied Health Data Analysis

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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

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HK 416 class schedule data for spring 2025
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	76781	Lecture-Discussion	G1	9:30AM -10:50AM	TR	101 Armory	Kang, H	Part of Term: 1 Date Range: 01/21/25-05/07/25 Degree Notes: Quantitative Reasoning II course. Credit: 4 hours Restriction(s): Restricted to Graduate - Urbana-Champaign.
	76782	Lecture-Discussion	U1	9:30AM -10:50AM	TR	101 Armory	Kang, H	Part of Term: 1 Date Range: 01/21/25-05/07/25 Degree Notes: Quantitative Reasoning II course. Credit: 3 hours Section Info: Some seats are held for majors, but others are open to the public. Additional seats will be released on December 10. Please contact the Department with any questions. Restriction(s): Restricted to students with Junior or Senior class standing. Restricted to Undergrad - Urbana-Champaign.