| DIT 46200 | 180 |
This course establishes in-depth knowledge and skill in the design, testing, and implementation of predictive analytical models in a business/organizational context. The methodologies used in the inception and development of predictive models is covered along with practical and applied use of tools and technologies.
Prerequisites
Outcomes
On completion of this course, students will be able to:
- Identify suitable applications and limitations of predictive models in an applied organizational context
- Describe the underlying statistical mathematical methods used in predictive models and imbedded in modern modeling platforms
- Apply consistent methods to the creation, testing, and implementation of predictive models
- Describe the difference between prescriptive decision-making models and predictive modes
- Design, construct, test, and implement predictive model solutions using tools/platforms and supporting programming languages
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