Pick a lab · 1 lab · 1 open · Wed 10:00 AM - 11:40 AM
- L099-LABWed · 10:00 AM - 11:40 AMViviana AcquavivaChill Rank 1 of 5: Chill?★ 5.0(13)Difficulty 2.1/5 · 100% would take againIn PersonOpen
3 credits · Fall 2026
Machine Learning for Physics (PHYS 3600ID) at NYC College of Technology has 1 way to take it in Fall 2026, plus 1 recitation or lab time you pair with a lecture. 2 of 2 sections have an open seat right now.
The professor is: Viviana Acquaviva.
Compare them below, check the days and times, and add the course to your schedule.
This course meets as a lecture plus a lab. Your schedule needs one time from each, and the schedule builder picks them together.
P: CST 1201 or equivalent, MAT 1272 or MAT 1372 or MAT 2572 or permission
Problem solving in physics and astronomy through statistical inference, machine learning algorithms and data mining techniques. Researching and solving problems in different areas of physics using tools such as Bayesian statistics, Monte Carlo sampling, regression and classification algorithms, dimensionality reduction and data cleaning data. Programming assignments use current, flexible languages, such as Python.
1 section · 1 open · ★ 5.0 (13) · difficulty 2.1/5 · 100% would take again
Ordered chillest first. A Chill Rank compares a professor with other CUNY professors on Rate My Professors difficulty, rating and would-take-again; it needs at least 3 ratings. How it works
Seat status as of Oct 4, 5:49 PM ET. Seats can change between refreshes. How fresh is this?
Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means
You need one lecture and one lab. They can be combined freely, so pick each separately; the schedule builder checks the times together.