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BUS 390: Artificial Intelligence at Queens College

3 credits · Spring 2027

Artificial Intelligence (BUS 390) 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: Francisco Penaranda Tomas.

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

Requirements

Prereq.: ECON 249 or MATH 241, or permission of instructor.

About this course

Nowadays many jobs are impacted by artificial intelligence, and machine learning in particular, because we can learn from data in new ways thanks to more powerful computers and increasing amounts of data. Artificial intelligence studies the construction of intelligent machines, while machine learning is considered its main branch, using large data sets for tasks such as identifying patterns and making predictions. Artificial intelligence tools have captured people?s imagination and have been extremely successful in computer vision and natural language processing. These modern tools can also be applied in business and economics to customer segmentation, fraud detection, credit decisions, sales forecasting, prediction of house prices, sentiment analysis, trading in financial markets, etc.

Professors for BUS 390 at Queens, Spring 2027

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BUS 390 sections, times and seats

Seat status as of Oct 4, 9:58 PM ET. Seats can change between refreshes. How fresh is this?

001-LEC Regular
Tue/Thu · 10:45 AM - 12:00 PM
Powdermker 302
Francisco Penaranda TomasNo Rate My Professors rating found
In PersonOpen

Questions about BUS 390 at Queens

Who teaches BUS 390 at Queens in Spring 2027?
Francisco Penaranda Tomas is listed for Spring 2027. Each name links to a page with their Chill Rank and Rate My Professors numbers.
Is BUS 390 at Queens hard?
We do not have enough Rate My Professors ratings for the professors teaching BUS 390 yet to say. The Chill Rank appears once a professor has at least 3 ratings.
What if a BUS 390 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.