BUS 390
Artificial Intelligence · 3 credits · Spring 2027
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.
Seat status as of Oct 2, 8:21 PM ET. Seats can change between refreshes.