This is the webpage for CMSE495 Data Science Capstone Course. These materials are provided as an Open Educational Resource (OER). Instructors interested in using these classroom resources should reach out to Dirk Colbry (colbrydi@msu.edu) who can provide all the materials and instructor notes.
For the next exercise your groups will review one of the case studies in your handout. However, to get some practice, you instructor will lead a case study for the entire class and give you an idea what you should be doing.
This is a team paring exercise. Your instructors will pair up teams in groups of 2 or 3. Combine your teams and split up in to 2-3 groups (some people from each team). Each group pick one of the team charters to review. Ensure that the final groups consist of 4-5 people and that every team charter will be reviewed.
Team A | Team B |
---|---|
SME - Crack Prediction | Kinesiology - 40 yard dash |
NC3 - Community Capital | Henry Ford Hospital - Image Segmentation |
Kellogg - Deduction Classification | Olson - Campain finance Data |
Intramotev - Autonomous Vehicles | QSIDE - Human trafficking |
D2L - Instructor API | CEPI - Anomaly Detection |
Boeing - Defect Prediction | QSIDE - Justfare Toolbox |
Neogen - Pesticide Analysis | Neogen - Pesticide Analysis |
Review the team charter assigned to your team. Have someone from the team that wrote the team charter present it to the group (10 minutes). Discuss key features and how you try to anticipate challenges for the semester. Have the group come up with ideas to make the team charter even better.
As a group, review the handout of case studies. You should have time to get through about four of them. We don’t want all groups to do the same four so the instructor may ask you to start on a specific number. Spend about 10 minutes per case study by doing the following:
In the last 10 minutes of class your instructor will have groups share what they learned with the class. The important outcome will be ideas you think are good to add to the team charter to help anticipate challenges that may occur throughout the semester.
The next deliverable is the project plan and schedule. Teams will use this time to read though the assignment and work on getting ready for the next steps.
Written by Dr. Dirk Colbry, Michigan State University
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.