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biomedin215 [2020/08/26 15:30] nigam |
biomedin215 [2022/09/21 14:25] nigam |
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- | ====== BIOMEDIN 215, 2020 ====== | + | ====== BIOMEDIN 215: Data Science for Medicine (Aut 2022) ====== |
- | In the Autumn | + | The Autumn |
- | In the past years, the [[:biomedin215_precovid|pre-COVID]] offering was a highly interactive, in person experience. We wish to preserve as much of the learning experience as possible in a virtual setting. Therefore, to ease the transition of converting the class content for offering on Zoom, enrollment in 2020 will be limited to graduate students in the Biomedical Informatics (BMI) Program. I have chosen to do this so that we can maintain an effective learning experience for those students for whom this is a required class. | + | – 2022 Teaching team: Nigam Shah, Alison Callahan, Bryan Bunning, Oana Enache, Min Woo Sun, Maggie Wang |
- | If you are not a BMI graduate student, thank you for understanding. I look forward to meeting | + | This course is designed to prepare |
+ | Upon completing this course, you should be able to: | ||
+ | |||
+ | - recognize categories of research questions and the study designs used to address them. | ||
+ | - describe common healthcare data sources and their relative advantages and limitations. | ||
+ | - extract and transform various kinds of clinical data to create analysis-ready datasets. | ||
+ | - design and execute an analysis of a clinical dataset to answer a research question. | ||
+ | - apply your knowledge to evaluate and criticize published clinical informatics research. | ||
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+ | The syllabus for 2022 is [[https:// | ||
+ | Canvas site is availabe [[https:// | ||
+ | Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B1\\ | ||
+ | Prerequisites: | ||
+ | Office Hours: See Canvas site | ||
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+ | < | ||
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