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| - | ====== BIOMEDIN 215: Data Science for Medicine (Aut 2023) ====== | + | ====== |
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| - | The Autumn 2023 class will be offered in person. | + | |
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| - | – 2022 Teaching team: Nigam Shah, Alison Callahan, Bryan Bunning, Maggie Wang, Ben Viggiano, Yixing Jiang | + | |
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| - | This course is designed | + | |
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| - | Upon completing this course, you should be able to: | + | |
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| - | - 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 2023 is [[https:// | + | |
| - | Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B3. For Office Hours, see the Canvas site \\ | + | |
| - | Pre-requisites: | + | |
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| - | * CS 106A or equivalent | + | |
| - | * STATS 60 or equivalent | + | |
| - | * high school biology | + | |
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| - | < | + | |
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| - | <iframe width=' | + | |
| + | New page is at https:// | ||