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--- biomedin215 [2021/09/07 12:58]
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+++ biomedin215 [2024/07/21 15:27] (current)
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-====== BIOMEDIN 215: Data Science for Medicine (Aut 2021) ======
+====== BIOMEDIN 215: Data Science for Medicine (Aut 2024) ======
-We will decide by early September whether the Autumn 2021 class will be offered in person or stay online. To preserve the learning experience of the [[:biomedin215_precovid|pre-COVID]] in a virtual setting, enrollment in 2020 was limited to graduate students in the Biomedical Informatics (BMI) Program. Having made the transition, we look forward to welcoming more students this year.
+The Autumn 2024 class will be offered in person.
-– 2021 Teaching team: Nigam Shah, Alison Callahan, Eric Sun, Juan Chaves, Katelyn Bechler
+– 2024 Teaching team: Nigam Shah, Yixing Jiang, Suhana Bedi, Sohaib Hassan, Joshua Lazaro
-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 R or Python.
+Schedule: TUE, THU 3:00 PM - 4:20 PM in Gates B3. \\
+See the [[https://canvas.stanford.edu/courses/197530|Canvas site]] (log in with your SUNet id), for office hours, contact information, Syllabus, Prerequisites etc.
 Upon completing this course, you should be able to:
@@ Line 14: / Line 17: @@
   - 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.
-The syllabus for 2021 is [[https://docs.google.com/document/d/1y7hl7x4bhWu1CjOD3lp882li7c8UeZQV0LdBbX7PN_k/edit|here]] (log in to GSuite with your sunet id) \\
-Canvas site is availabe [[https://canvas.stanford.edu/courses/140842|here]] \\
-Schedule: TUE, THU 1:30 PM - 2:50 PM
-Prerequisites: CS 106A or equivalent, STATS 60 or equivalent.
-Recommended: STATS 216, CS 145, STATS 305
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