MDS Instructor Training
August 13-14, 2019
If you build someone a fire, you'll keep them warm for a night. If you set someone on fire, you'll keep them warm for the rest of their life.
- Sir Terry Pratchett
Registration
Please RSVP by emailing Tiffany Timbers and indicating which day you intend on attending. Space is limited to 20 participants.
Location
ESB (Earth Sciences), Rm. 4192
Google doc for collaboration
Schedule
Day 1 (Tuesday) is intended for Instructors new to teaching Data Science or new to teaching at all. Day 2 (Wednesday) is intended as a more hands-on teaching refinement session useful for new to seasoned Data Science Instructors. The precise topics covered in each half-day segment may vary depending on participants’ interests and prior experience, but we expect the overall arc to be as follows:
| Day | Time | Topic | Instructor |
|---|---|---|---|
| Tues | 12:30 PM - 1:45 PM | Intro, learner personas & mental models | Tiffany Timbers |
| Tues | 1:45 PM - 2:00 PM | Coffee break | |
| Tues | 2:00 PM - 3:15 PM | Cognitive load & capacity | Tiffany Timbers |
| Tues | 3:15 PM - 3:30 PM | Coffee break | |
| Tues | 3:30 PM - 4:30 PM | Feedback, assessment, live coding | Mike Gelbart |
| Wed | 12:30 PM - 1:45 PM | Exercises for Data Science | Tiffany Timbers |
| Wed | 1:45 PM - 2:00 PM | Coffee break | |
| Wed | 2:00 PM - 3:15 PM | Lesson design, curriculum design, think-pair-share | Mike Gelbart |
| Wed | 3:15 PM - 3:30 PM | Coffee break | |
| Wed | 3:30 PM - 4:30 PM | Student engagement and big-picture thoughts about teaching | Mike Gelbart |
Rooms for breakout sessions
- TBD
Readings:
- Teaching Tech Together by Greg Wilson
Instructors
Tiffany Timbers is an Instructor in the Department of Statistics and an Option Co-Director for the Master of Data Science program at the University British Columbia. She is also a Software Carpentry and Data Carpentry Instructor. In these roles she teaches and develops curriculum around the responsible application of Data Science to solve real-world problems.
Mike Gelbart is an Instructor in the Department of Computer Science and Option Co-Director of the Master of Data Science Program (Vancouver). He has a PhD in machine learning and is passionate about teaching the subject.
Attribution
Materials and inspiration for this workshop are attributed to Greg Wilson. In particular his book Teaching Tech Together and the slides he developed for the RStudio Instructor Training course.
License
Creative Commons - Attribution-ShareAlike 2.5 Canada (CC BY-SA 2.5 CA)