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DataScienceUWL
GitHub Repository: DataScienceUWL/DS775
Path: blob/main/Lessons/Lesson 12 - Scheduling & DA with Uncertainty (Project)/Overview_12.ipynb
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Kernel: Python 3 (system-wide)

Overview for Lesson 12

This lesson is really a project which you can think of as a more involved homework problem that gives you the opportunity to dive a little deeper. The presentation for this week is a short notebook without videos.

Topics

  • Integrating simulation, decision analysis, and optimization.

Learning Outcomes

The student will be able to:

  • solve a linear program with uncertain parameters and optimize the values of those parameters to achieve optimal decisions.

Student "To Do" Checklist

  • Complete the homework notebook in CoCalc and transfer your answers to the Canvas Quiz by the due date which is shown both in Canvas and CoCalc.

Use Piazza to ask questions when you have them and be sure to check Piazza regularly so you don't miss out on any good Q & A or other discussions.

There is no assigned reading this week, but reviewing the material of the past few lessons as needed should be sufficient.