BADM 373
Fall 2025 Part of Term 1
Aug 25-Dec 10
Credit: 3 hours.
Provides students a comprehensive overview of essential mathematical and statistical concepts necessary for effective data-driven business decision-making. The course covers linear algebra, probability theory, statistics foundation, exploratory data analysis, predictive analytics focusing on multivariate models and time series forecasting, and prescriptive analytics including optimization techniques and Monte Carlo Simulation. Through theoretical lectures and practical sessions using widely available software tools, students will develop the analytical skills required to solve real-world business problems.
Prerequisite: BADM 211.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
80635
|
Lecture-Discussion
|
A
|
9:30AM
-10:50AM
|
MW
|
130 Wohlers Hall
|
Subramanyam, R
|
|