BUIS 462 - Decision Science and Analytics

3 Credits

(Spring Only)
Prerequisite(s): BUIS 362. First the course provides foundation knowledge on decision making process and decision science. Then the course focuses on Predicative Analytics and covers the data mining (DM) processes for discovering patterns from both structured and unstructured data, and machine learning (ML) approaches, techniques, algorithms and their applications. It focuses on the applications of DM and ML for scientific and business problem solving using Machine Learning Software and/or Machine Learning libraries available in Python, R or other programming language. A project is required.