MIT 15.071 The Analytics Edge, Spring 2017 9.2.5 Sports Scheduling - Video 3: Solving the Problem
9.2.5 Sports Scheduling - Video 3: Solving the Problem Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Building and solving the scheduling problem in LibreOffice. License: Creative Commons BY-NC-SA
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Building and solving the scheduling problem in LibreOffice. License: Creative Commons BY-NC-SA
Key Takeaways
- Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Building and solving the scheduling problem in LibreOffice. License: Creative Commons BY-NC-SA
- Understand how 15-071-the-analytics-edge-spring-2017 fits into 9.2.5 Sports Scheduling - Video 3: Solving the Problem.
- Understand how binary variables fits into 9.2.5 Sports Scheduling - Video 3: Solving the Problem.
- Understand how constraints fits into 9.2.5 Sports Scheduling - Video 3: Solving the Problem.
- Understand how decision variables fits into 9.2.5 Sports Scheduling - Video 3: Solving the Problem.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Building and solving the scheduling problem in LibreOffice. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 9.2.5 Sports Scheduling - Video 3: Solving the Problem about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Building and solving the scheduling problem in LibreOffice. License: Creative Commons BY-NC-SA
What key concepts are covered in this lesson?
The lesson covers 15-071-the-analytics-edge-spring-2017, binary variables, constraints, decision variables, integer variables.
What should I learn before 9.2.5 Sports Scheduling - Video 3: Solving the Problem?
Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: 15-071-the-analytics-edge-spring-2017, binary variables, constraints, decision variables.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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