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biomedin215 [2023/09/01 11:37]
nigam 		biomedin215 [2023/09/01 14:42] (current)
nigam
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 The Autumn 2023 class will be offered in person. The Autumn 2023 class will be offered in person.
  
-– 2022 Teaching team: Nigam Shah, Alison Callahan, Bryan Bunning, Maggie Wang, Ben Viggiano, Yixing Jiang+– 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, large size patient datasets for home work projects associated with the course. To have the best learning experience, you will need to be proficient in the R language. 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, large size patient datasets for home work projects associated with the course. To have the best learning experience, you will need to be proficient in the R language.
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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.
  
-The syllabus for 2023 is [[https://docs.google.com/document/d/1se4LuFfeIpZBzgiGL5AM57jg_dBOCG37nNWdIfEoYZQ/edit|here]] (log in to GSuite with your SUNet id) and the Canvas site is available [[https://canvas.stanford.edu/courses/161401|here]] \\ 
-Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B3. For Office Hours, see the Canvas site \\ 
-Pre-requisites: This course is designed for students experienced in basic programming, statistics, and biology. To ensure your success in this course, we expect that you know the R programming language and require that you have taken the following courses: 
  
-  * CS 106A or equivalent +Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B3. \\ 
-  * STATS 60 or equivalent +For Office Hours, see the [[https://canvas.stanford.edu/courses/178048 | Canvas site]] (log in with your SUNet id) \\ 
-  * high school biology+Pre-requisites: See the [[https://docs.google.com/document/d/1se4LuFfeIpZBzgiGL5AM57jg_dBOCG37nNWdIfEoYZQ/edit|syllabus]]
  
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biomedin215.1693593430.txt.gz · Last modified: 2023/09/01 11:37 by nigam

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