Teaching Team

On Mondays at 3:10pm, chat with Nick on Zoom


Announcements
From all of the CS106A staff, we thank you so much for a great quarter. We'll be releasing course grades next week Tuesday at midnight PST. Have a wonderful break!
We described our honor code policy at the beginning of the quarter, but we wanted to revisit our rules on homework collaboration. Essentially, you are welcome to exchange ideas with other students and the staff, but then you should take those insights and use them to write your own code. If you feel you made a mistake over the course of the quarter, please read this retroactive citation and retraction handout detailing some next steps.
The median score was a 91 (137/150 pts).
We try to grade as consistently as possible, but we are human and we might make mistakes. If you feel like one of your problems was misgraded, please file a regrade request on Gradescope. The regrade requests will open this afternoon and must be submitted by Monday, December 19th at 2pm PT. Note that this is the only way to have your regrade request considered - your SL cannot regrade your exam. We want you to have the credit you deserve, but filing a formal request helps us make sure that your request goes to the right person. If you submit a regrade regrade request, we do reserve the right to regrade request, we do reserve the right to regrade the entire problem and make any necessary corrections.
DATASCI 112 is a new data science course offered this winter - the prerequisite is just CS106A! Learn more on the DATASCI 112 website.
Resources
Course Values
Teaching Team

On Mondays at 3:10pm, chat with Nick on Zoom


Resources
Announcements
From all of the CS106A staff, we thank you so much for a great quarter. We'll be releasing course grades next week Tuesday at midnight PST. Have a wonderful break!
We described our honor code policy at the beginning of the quarter, but we wanted to revisit our rules on homework collaboration. Essentially, you are welcome to exchange ideas with other students and the staff, but then you should take those insights and use them to write your own code. If you feel you made a mistake over the course of the quarter, please read this retroactive citation and retraction handout detailing some next steps.
The median score was a 91 (137/150 pts).
We try to grade as consistently as possible, but we are human and we might make mistakes. If you feel like one of your problems was misgraded, please file a regrade request on Gradescope. The regrade requests will open this afternoon and must be submitted by Monday, December 19th at 2pm PT. Note that this is the only way to have your regrade request considered - your SL cannot regrade your exam. We want you to have the credit you deserve, but filing a formal request helps us make sure that your request goes to the right person. If you submit a regrade regrade request, we do reserve the right to regrade request, we do reserve the right to regrade the entire problem and make any necessary corrections.
DATASCI 112 is a new data science course offered this winter - the prerequisite is just CS106A! Learn more on the DATASCI 112 website.
Course Values