PHYS 270: Appl of Machine Learning at Queens College
3 credits · Fall 2026
Appl of Machine Learning (PHYS 270) at Queens College has 1 way to take it in Fall 2026. 1 of 1 section has an open seat right now.
The professor is: Vladimir Shuvayev.
Compare them below, check the days and times, and add the course to your schedule.
About this course
A practical introduction to using machine learning to analyze experimental data and theoretical models in physics, chemistry, biology, and earth sciences. Provides contemporary skills valuable for careers in technology, including an introduction to MATLAB and Python. There is no specific required mathematics pre-requisite but some previous knowledge of college algebra, calculus, and computer programing ishelpful.
Professors for PHYS 270 at Queens, Fall 2026
- Vladimir ShuvayevChill Rank 3 of 5: Fairlimited data?
1 section · 1 open · ★ 3.3 (3) · difficulty 3.0/5 · 67% 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
PHYS 270 sections, times and seats
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
Questions about PHYS 270 at Queens
- Who teaches PHYS 270 at Queens in Fall 2026?
- Vladimir Shuvayev is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is PHYS 270 at Queens hard?
- It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 3.0 out of 5. The Chill Rank above compares them directly.
- What if a PHYS 270 section is full?
- Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.