BUS 3015 - AI and Machine Learning for Business Decisions

Prerequisite: BUS 2002, CBSC 2500, ECON 2002, POL 2002, or SOAN 2002.
Credits: 3

Artificial intelligence and machine learning are increasingly shaping society and revolutionizing the business world, making it essential for students to develop proficiency in these fields. This course provides a foundational understanding of the technical concepts of AI and machine learning, equips students with hands-on skills to implement algorithms, and fosters critical thinking about the implications and limitations of these technologies. Students will learn about a range of topics, from basic machine learning algorithms to deep learning and large language models, exploring both the underlying algorithms and their applications in prediction, classification, and automation using numerical, visual, and textual data within a business context. Python will be the primary tool for implementing these machine learning algorithms.