CMSE 495

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Michigan State University Data Science Capstone.

View the Project on GitHub msu-cmse-courses/cmse495-SS26

In-Class ASSIGNMENT: Team Charter Review

Agenda (70 Minutes)

Reminder: Both Individual and Team 3x3 Reports due every Monday (starting today)

Team Charter Review

Each team create a feedback file in your shared folder under the General Chanel on Teams. Name the file YYYYMMDD_Team_Charter_Review.docx.

The goal of this exercise is to make the Team Charter’s better and avoid common problems. Everyone is encouraged to add comments and suggestions to the “Team Charter Review” documents.

We will start with a team paring exercise. Your instructor has put you into the following teams of teams.

Parings V1 Team A Team B
1 Kellanova MSU-Curriculum
2 HFH-VS Joyntly
3 UofM MSU-SW_Lansing
4 TeliAI Luce
5 BW-Water_Leaks CEPI
6 ToolsForHumanity WBPD
7 Delta_Dental NCEAS
8 BW-Design CustomersLens

Review the team charter(s) for your team pairs. Have someone from each team team do a quick presentation of their charter to the other teams(s). Make sure you suggest changes to other charters and your own.

(Pick things to share at the end of the class).

Example Case Study: Not Enough Training Data

For this exercise your groups will review one of the case studies in the following page.

To get some practice, the entire class will review the first case study to give you an idea what you should be doing. challenges

Group Case Studies

In your individual groups, spend about 30 minutes to review the handout of the remainder of the case studies. You should have time to get through about three (3) of them (more is fine). We don’t want all groups to do the same studies so start with the case study in the table below. Spend about 10 minutes per case study by doing the following:

Team Case
Kellanova - Demand Forecasting 2. Case Study: Visit from the CEO
MSU - Curriculum Analytics 3. Case Study: Micromanaged and Misaligned
Henry Ford Health - Video Segmentation 4. Case Study: Team Conflict
Joyntly - User Engagement 5. Case Study: Data Overload
UofM - Civil Rights Litigation Website 6. Case Study: What is the best accuracy?
MSU - Southwest Lansing Project 7. Case Study: Not Enough Training Data
TeliAI - Agentic Campaign Insight Analyzer 8. Case Study: Working Alone
Luce - Lumber 9. Case Study: NDA Delays and Data Drought
Bradford White - Water Leak Detection 10. Case Study: Divergent Paths in Model Selection
CEPI - Effective Communications 11. Uneven Skills, Uneven Progress
ToolsForHumanity - IRIS Recognition 12. Tool or Platform Failure
WBPD - Crash Safety 13. Meticulous Planning
Delta Dental - Canonical Mouth Dataset Development 14. When Jargon Leads You Astray
NCEAS - Unsupervised NLP 15. Doing the Job Assigned (When It’s Not the Job You Wanted)
Bradford White - Data-Driven Design 16. Missing Individual Deliverables Due to Miscommunication
Customers Lens - Entrepreneurial Challenges 17. Professionalism Means Different Things

Sharing with the class

The 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.

Introduce Project Schedule assignment

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 Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.