Feedback Survey for CIS 421/521 - Fall 2021
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Did you enjoy the class?
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What is your major / graduate degree?
Homework assignments
What did you think about the level of difficulty of the programing assignments?
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Prior to joining the class, how strong were your Python skills?
Novice / No prior experience
Expert
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Now that the class is over, how would you rate your Python skills?
Novice
Expert
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Did you attend any of the optional Python recitations?
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Please rate the homework assignments
Leave a line blank if you skipped the assignment.
Terrible, definitely replace it next year
Needs improvement
Good assignment
One of my favorites
HW1: Python Skills
HW2: Uninformed Search
HW3: Informed Search
HW4: Games and Adversarial Search
HW5: Sudoku
HW6: MDPs and Gridworld
HW7: Reinforcement Learning
HW8: Language Models
HW9: Perceptrons
HW10: Neural Networks
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Did you attend any of the optional homework recitations?
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Did you do the programming assignments with a partner when it was allowed?
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Did working with a partner improve your learning experience?
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What is your opinion about randomly assigned partners?
We randomly assigned partners for two reasons: (1) To make it easier for students who started at Penn during the pandemic and who hadn't yet built a network to find a partner, and (2) to reduce "trading off" assignments where partners take turns doing the work instead of working together on each assignment.
Should there be hidden test cases in the autograder for the HWs next year?
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Should we prioritize making autograder error message clearer?
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Do you have any feedback on the assignments?
Were there any assignments where the instructions were not clear enough?  Which ones?  Do you have suggestions on how to improve any of the assignments for next year?
Lectures
How did you watch the lectures?
Check all that apply
Please give your feedback on these modules
Drop this module next year
Needs substantial improvement
Fine as is
One of my favorite modules
Intro to Python
Search Algorithms
Logical Agents
MDPs and Reinforcement Learning
Bayes' Nets
Probabilities and N-Gram LMs
Naive Bayes and Perceptrons
Logistic Regression and Neural Nets
NLP and Vector Semantics
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Are there any topics that I didn't cover that you would like to see added?
Midterm exams
Did you feel that the midterm exams were a fair assessment of your knowledge of the course materials?
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Do you feel that writing notes in the colab notebook helped you prepare for the exam?
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How did you take the midterms?
Any comments on the midterms?
Textbook
Did you do the required reading?
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When did you do the reading?
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We used two textbooks - AI a Modern Approach and Speech and Language Processing.  Should we keep using two, or switch to one?
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Quizzes versus remember.school
We developed a new platform for the course called remember.school, and used it rather assigning weekly reading quizzes.  Next year, what should we use to encourage students to do the reading?
Clear selection
Any comments on remember.school?
Extra Credit assignments
Did extra credit assignments improve your learning experience?
I didn't do this extra credit
I did it, and it improved my learning experience
I did it, but didn't get anything valuable out of it
R2D2 assignments
Attending seminars by famous AI researchers
Helping CCB's PhD students with their research
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Would you like to volunteer to help with more research projects?
Did you try out your access to the OpenAI API?
You can access it here: https://openai.com
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Any comments on the extra credit?
Teaching Staff
Did your professor have any unconscious ticks that were distracting?
For example: talked too quietly, said um too much, weird fashion sense.
Any feedback on how to be a better teacher?
Teaching Awards
Would you like to nominate any of the TAs for a teaching award?
If so, please write which TA and 1 or 2 sentences saying why they are awesome.  I'll submit your nomination to the department.
Would you like to nominate any of your professors for a teaching award?
Doesn't have to be me!  The deadline for nominations for Penn's "Lindback Award for Distinguished Teaching" is Friday, January 7, 2022 at 5 PM.  Here's the nomination link https://vpe.wufoo.com/forms/w1u4wrua0zefbx3/
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Large Scale of the Class
This semester I allowed over 600 students to enroll in the class to accommodate the high interest in AI.  This made it the largest class that I have ever taught, and one of the largest courses ever offered at Penn.  Please check all that apply.
When were you granted a permit?
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How do you feel that the large scale class affect your learning experience?
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We recruited a total of 30 TAs.  Was this enough?
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Was the wait in OHQ acceptable?
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Was the response time on Piazza reasonable?
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Next year, should I keep offering a large class, or should we revert to a smaller sized class?
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Any feedback on how to improve the class?
Apply to be a TA
Lastly, would you like to apply to be a TA?
Have you got a great idea about how to improve the class?  Or did you have so much fun that you'd like to return as a TA?  I'd love to work with you!   You can apply to be a TA for the Spring Online MCIT course here (Harry Smith will be teaching): https://docs.google.com/forms/d/e/1FAIpQLSdPuYy0xaYW3PWasQwRRhAf_WF-NkP8YS_Q58jikK7CyABrBw/viewform    If you'd like to apply to be a TA with CCB in Summer or Fall, please fill out this form: https://docs.google.com/forms/d/e/1FAIpQLSeGM7uegYNxf0pY6T2lOhMpUosnVnH3c1woZ10IcFJ18IKN-A/viewform?usp=sf_link
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