Fall 2026 Decision, Risk & Operations Management B8103 section 001

Business Analytics II: Foundations of AI

Business Analytics II: AI

Call Number 16145
Day, Time & Location View Class Schedule & Location in Vergil
Points 1.5
Grading Mode Standard
Approvals Required None
Instructor Charles R Guetta
Type LECTURE
Method of Instruction In-Person
Course Description This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.
Department Decision, Risk and Operations
Enrollment 150 students (150 max) as of 5:06PM Sunday, August 9, 2026
Status Full
Subject Decision, Risk & Operations Management
Number B8103
Section 001
Division School of Business
Open To Business, Journalism
Section key 20263DROM8103B001