MATH 340: Probability Theory Data Sci at Queens College
4 credits · Fall 2026
Probability Theory Data Sci (MATH 340) at Queens College has 1 way to take it in Fall 2026. 0 of 1 section have an open seat right now.
The professor is: Elliot Gangaram.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Prereq.: MATH 241. Coreq.: MATH 201 and 231.
About this course
Topics include introducing common random variable models, the central limit theorem, law of large numbers, random variable convergence. Topics may also include order statistics, probability inequalities, Slutsky?sTheorem, Markov chains and stochastic gradient descent. Probability computation using modern software. Not open to students who are taking or who have received credit for MATH 640.
Professors for MATH 340 at Queens, Fall 2026
- Elliot GangaramChill Rank 3 of 5: Fair?
1 section · 0 open · ★ 4.3 (103) · difficulty 3.4/5 · 79% 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
MATH 340 sections, times and seats
Seat status as of Oct 4, 5:41 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 MATH 340 at Queens
- Who teaches MATH 340 at Queens in Fall 2026?
- Elliot Gangaram is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is MATH 340 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 3.4 out of 5. The Chill Rank above compares them directly.
- What if a MATH 340 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.