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Viewing: INFR 4110 : Biomedical Data Science

Last approved: Mon, 23 May 2016 18:24:04 GMT

Last edit: Sat, 02 Apr 2016 22:44:06 GMT

Catalog Pages referencing this course
Programs referencing this course
School of Medicine and Health Sciences
Clinical Research and Leadership (CRL)
INFR
4110
Biomedical Data Science
Biomedical Data Science
Summer 2016
3
Course Type
Lecture
Default Grading Method
Letter Grade
students in the medical informatics degree program
No
No
HSCI 3117 and INFR 4101 and INFR 4103
Corequisites

20

Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
Yes
Fee Type
Lab
30
Remote proctor fee.
No


Principles of health analytic techniques, and implications associated with big data uses in clinical and health care settings. Laboratory fee.
1. Identify threats to data integrity and validity. 2. Analyze clinical data to identify trends that demonstrate quality, safety, and efficacy. 3. Apply knowledge of database querying and data exploration and mining techniques to facilitate information retrieval. 4. Analyze the implications of big data uses in clinical and health care settings.
Uploaded a Course Syllabus

Course Attribute


twilson (Fri, 29 Jan 2016 22:15:35 GMT): Rollback: please correct and resubmit under appropriate subject code
Key: 10338