Course materials should be posted ~24 hours in advance of each lecture.
Check the course OSF project for the most up-to-date view of course content!
The Zoom Meeting ID for the course is 923-1709-1379;
please refer to the #schedule channel of the BHS Slack for the password.
Note that sessions will be recorded and we will do our utmost to upload them in a timely fashion!
| DATE | TIME | EVENT |
|---|---|---|
11 Monday May, 2020 | 09:00 - 10:00 | |
| 10:00 - 11:00 | Modern reproducibility problems in the life sciences ( Instructor: J.B. Poline — Slides ) | 11:00 - 12:00 | Set-up and installation | 12:00 - 13:00 | Lunch | 13:00 - 14:00 | Introduction to the terminal ( Instructor: Ross Markello — Materials ) | 14:00 - 17:00 | Introduction to git and GitHub ( Instructor: Elizabeth DuPre — Materials ) |
12 Tuesday May, 2020 | 09:00 - 12:00 | Python for data analysis ( Instructor: Ross Markello ) |
| 12:00 - 13:00 | Lunch | 13:00 - 16:30 | Containerization with Docker ( Instructor: Peer Herholz ) | 16:30 - 17:30 | Assessment 1 |
13 Wednesday May, 2020 | 09:00 - 10:30 | Standards for project management and organization ( Instructor: Elizabeth DuPre ) |
| 10:30 - 12:00 | Tools for project management and organization ( Instructor: Chris Markiewicz ) | 12:00 - 13:00 | Lunch | 13:00 - 16:30 | High-performance computing ( Instructor: Felix-Antoine Fortin ) |
14 Thursday May, 2020 | 09:00 - 10:30 | Data visualization ( Instructor: Peer Herholz ) |
| 10:30 - 12:00 | Introduction to classical statistics ( Instructor: J.B. Poline ) | 12:00 - 13:00 | Lunch | 13:00 - 16:30 | Introduction to machine learning ( Instructor: Estefany Suarez & Jake Vogel ) | 16:30 - 17:00 | Feedback for review sessions on Friday |
15 Friday May, 2020 | 09:00 - 10:30 | Fundamentals of deep learning in neuroscience ( Instructor: Blake Richards ) |
| 10:30 - 12:00 | Applications of deep learning in neuroscience ( Instructor: Jakub Kaczmarzyk ) | 12:00 - 13:00 | Lunch | 13:00 - 14:00 | Epistemology and lessons from the past ( Instructor: J.B. Poline ) | 14:00 - 15:00 | Review session 1 ( Instructor: TBA ) | 15:00 - 16:00 | Review session 2 ( Instructor: TBA ) | 16:00 - 17:00 | Assessment 2 |
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