Course FAQ#
What will class actually look like?#
Most class days are not full-on lectures. You’ll work in groups of four on structured problems during class. These problems are designed to look like homework and exams, so class time is where you practice doing the hard part, with help.
What does a “complete” solution look like?#
Every problem you submit should include:
A short problem restatement
A brief strategy (what ideas you’re using and why)
The math, written in sentences—not just equations
A conclusion explaining what the answer means physically
A small Python check (a calculation or a plot)
You’ll have a notebook template to follow.
Why do we have to use Python?#
Python is just a verification tool. You still have to solve the problem analytically first. Python is used to:
check your math
visualize the motion
confirm that the answer makes sense
Simple code is totally fine, where this is not a programming course.
I’m taking calculus at the same time. Is that a problem?#
No. We’ll use calculus in a very limited, practical way:
derivatives as “rates of change”
basic polynomial integrals (power rule only)
When calculus shows up, we’ll connect it directly to the physics. If you want more detail, I’ll link to OpenStax Calculus.
Can I work with other students?#
Yes and you should.
In class: group work is required
Homework: you can talk through ideas, but your writing and code must be your own
Copy-and-paste solutions (from classmates or AI) get zero credit.
Can I use AI tools?#
Limited use is allowed.
OK: syntax help, debugging, quick clarification
Not OK: generating full solutions, explanations, or write-ups
If you use AI, say so in your notebook. Undocumented use counts as academic dishonesty.
How are grades weighted?#
Discussions: 10%
Participation & labs: 15%
Homework: 15%
Exams (4 total): 60%
The optional final exam can replace your lowest exam score.
What if I start falling behind?#
Start small and start early.
Work a little every week
Ask questions before deadlines
Use office hours, Slack, and your group
This course rewards steady effort, not cramming the night before.