IS 160 - Artificial Intelligence in Business

Prerequisite: IS 170
Building on top of the machine learning applications, this course presents the concepts and algorithms of deep learning (DL) and reinforcement learning (RL). Student will: 1) learn the mathematical concepts of DL and RL, 2) understand how to setup DL & RL models using leading coding platform, 3) exercise critical thinking for the data preparation - feature engineering and 4) explore DL & RL business applications. The essential topics such as gradient descent and Markov decision process are emphasized. (Formerly IS 189T)

Units: 3

Course Typically Offered: Fall