Two more candidates / four more talks this week - last candidates
for now!
- Mon 1/30 Hanxiang Du, 4pm CF 105 - Research (Educational Data
Mining, Artificial Intelligence and Machine Learning in Education)
- Tue 1/31 Hanxiang Du, 4pm CF 025 - Teaching Demo
- Thu 2/2 Czilard Vajda, 4pm CF 105 - Research (machine learning/data
science/etc.; wine quality esimation?)
- Fri 2/3 Czilard Vajda, 4pm CF 316 - Teaching Demo
Week 3 Feedback is in - 116/125
responses - thanks for filling it out! Themes:
- Positives: in-class teamwork, videos; course is going well overall
for most
- Challenges: Labs, Problems, A1
- You’re not expected to finish all the Problems every class - they
are meant to challenge you!
- If your group tends to finish the Problems, try this: write your
solutions on paper first. Get it as correct as possible, then type up,
test, and debug.
Week 4 Feedback out after class today, due
Wednesday night (2/1).
A2 was out last Friday, due this
Friday!
Don’t forget to watch Wednesday’s videos before your lab -
particularly important for this week’s lab.
This Friday’s class is a Buffer Day. This
means:
- No videos to watch and no Exercises to complete and submit
ahead.
- There is class, and there will be
an in-class (for credit) deliverable as usual.