BZAN3307 · Business Analytics
Carroll School of Management
| Term | Evaluations | Course rating | Instructor rating |
|---|---|---|---|
| Spring 2025 | 3 | 3.9 | 4.0 |
| Fall 2024 | 3 | 4.4 | 4.8 |
| Spring 2024 | 2 | 3.6 | 4.0 |
| Fall 2023 | 3 | 4.5 | 4.8 |
| Spring 2023 | 1 | 4.2 | 4.0 |
| Fall 2022 | 3 | 4.3 | 4.5 |
| Spring 2022 | 1 | 4.3 | 4.5 |
| Fall 2021 | 1 | 4.7 | 4.8 |
3 of 3 instructors
Machine Learning and Artificial Intelligence won't replace managers in the near term, but managers who use ML and AI well will replace those who don't. Organizations now have too much data and insufficient time for managers to consume data only in spreadsheets. Instead, the future of work involves managers designing models that, for example, segment customers, forecast sales, schedule preventative maintenance, or predict markets. This course addresses both the technical and managerial aspects of these applications. Technically, students use Python to create, evaluate, and tune multiple practical models (e.g., classifiers, trees, neural networks) in supervised and unsupervised machine learning contexts. Managerially, this course examines how organizations create value through AI applications.
Estimated from the original workload response buckets. Individual sections may differ.
Written reviews 1
Anonymous student feedback, shown as submitted.
1 of 1 reviews
Semester not recorded
Professor Kim is so kind! He is so excited about machine learning and AI and does a pretty good job explaining. He is great outside of class if you are confused as well. However, sometimes exam and HW feedback is slow.