PRESCRIPTIVE ANALYTICS AND OPTIMIZATION (4 CREDITS)

Learning Outcomes:

On successful completion of this course, students will be able to: LO1 – define prescriptive analytics concepts and techniques; LO2 – explain collection of data and preprocessing techniques for prescriptive analytics; LO3 – design the prescriptive models to solve problems; LO4 – analyze the implementation of the model which appropriate to the need.

Topics:

1. Introduction to Business Analytics;
2. Database Analytics;
3. Introduction to Prescriptive Analytics;
4. How Does Prescriptive Analytics Work?;
5. Determining If You’re Ready For Prescriptive Analytics;
6. Getting Started With Prescriptive Analytics; A
7. Aplications Of Prescriptive Analytics;
8. Prescriptive Analytics Model : Linear Optimization;
9. Applications of Linear Optimization;
10. Integer Optimization;
11. What Lies Ahead For Prescriptive Analytics?;
12. Decision Analysis;
13. Project presentation.