INSY 674. Enterprise Data Science: Concepts and Algorithms
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms offered: Fall 2025, Winter 2026
View offerings for Fall 2025 or Winter 2026 in Visual Schedule Builder.
Description
Practical knowledge of issues involving learning with large datasets. Topic include: data governance and management at scale; principles of feature engineering, parallel and distributed computing for machine learning; techniques for scalable supervised and unsupervised learning; analysis of programs in terms of memory, computation, and (for parallel methods) communication complexity; and methods for low-latency inference.
- Prerequisites: (INSY 660 or INSY 662) and (MGSC 660 or MGSC 661) or permission of the instructor
- Minimum Grade or Test Scores : B-
- Restrictions: Not open to students who have taken INSY 695 when the topic was "Enterprise Data Science & Machine Learning in Production 1"
- The online version of the course includes synchronous and/or asynchronous course activities