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MATH 342W: Data Sci via Machine Learning at Queens College

4 credits · Spring 2027

Data Sci via Machine Learning (MATH 342W) at Queens College has 1 way to take it in Spring 2027. 1 of 1 section has an open seat right now.

The professor is: Elliot Gangaram / Bryan Nevarez.

Compare them below, check the days and times, and add the course to your schedule.

Requirements

Prereq.: ENGL 110, MATH 231, MATH 241, CSCI 111 (or equivalent)

About this course

Philosophy of modeling with data. Prediction via linear models and machine learning including support vector machines and random forests. Probability estimation and asymmetric costs. Underfitting vs. overfitting and model validation. Formal instruction of data manipulation, visualization and statistical computing in a modern language. Not open to students who are taking or who have received credit for MATH 642. Writing Intensive (W). Recommended corequisites include ECON 382, 387, MATH 341, MATH 343 or their equivalents.

Professors for MATH 342W at Queens, Spring 2027

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 342W sections, times and seats

Seat status as of Oct 4, 11:21 PM ET. Seats can change between refreshes. How fresh is this?

01-LEC Regular
Mon/Wed · 3:45 PM - 5:35 PM
Mon/Wed · 3:10 PM - 3:40 PM
Mon · 5:40 PM - 7:30 PM
Kiely Hall 324
Elliot Gangaram / Bryan NevarezNo Rate My Professors rating found
In PersonOpen

Questions about MATH 342W at Queens

Who teaches MATH 342W at Queens in Spring 2027?
Elliot Gangaram / Bryan Nevarez is listed for Spring 2027. Each name links to a page with their Chill Rank and Rate My Professors numbers.
Is MATH 342W at Queens hard?
We do not have enough Rate My Professors ratings for the professors teaching MATH 342W yet to say. The Chill Rank appears once a professor has at least 3 ratings.
What if a MATH 342W 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.