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- | ====== BIOMEDIN 215: Data Science for Medicine (Aut 2020) ====== | + | ====== BIOMEDIN 215: Data Science for Medicine (Aut 2023) ====== |
- | In the Autumn | + | The Autumn |
+ | |||
+ | – 2023 Teaching team: Nigam Shah, Alison Callahan, Bryan Bunning, Maggie Wang, Ben Viggiano, Yixing Jiang | ||
This course is designed to prepare you to pose and answer meaningful clinical questions using routinely collected healthcare data. The practical skills you will learn in this class will be applicable to any task involving data manipulation and analysis. The course will use real, de-identified, | This course is designed to prepare you to pose and answer meaningful clinical questions using routinely collected healthcare data. The practical skills you will learn in this class will be applicable to any task involving data manipulation and analysis. The course will use real, de-identified, | ||
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- apply your knowledge to evaluate and criticize published clinical informatics research. | - apply your knowledge to evaluate and criticize published clinical informatics research. | ||
- | In the past years, | + | 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: | ||
- | 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. If you are not a BMI student, thank you for understanding. I look forward to meeting you in the regular offering of the class next Autumn. | + | * CS 106A or equivalent |
+ | * STATS 60 or equivalent | ||
+ | * high school biology | ||
- | The syllabus for 2020 is [[https:// | + | < |
- | – 2020 Teaching team: Nigam Shah, Alison Callahan, Conor Corbin, Minh Nguyen, Erin Craig | + | <iframe width=' |