CMSE 495

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Michigan State University Data Science Capstone.

View the Project on GitHub msu-cmse-courses/cmse495-SS24

Deep Tutorial Review

Agenda for today’s class (80 minutes)

  1. (10 minutes) Set up groups
  2. (70 minutes) Tutorial Reviews

Set up groups

Today will be another group pairing exersize. Each Group will review another groups tutorial with the goal of making it better. Submitt pull requests for things you can fix and then submit issues for things you can not fix.

Write a short report as an eamil and send it to the other

Team 1 Team 2
QSIDE - SToPA: MultiTown Data Analysis Techsmith - Healthy and Engaged User Data Exploration
ICER - User Data Analytics HFH - Revenue Cycle Prediction
Kellanova - Point of Sale Analysis HAP - Synthetic Data Generation
Intramotev - Automated Video Data Labeling for Autonomous Trains Ford - Defect Prediction
Tribal Start Program - Tribal Early Childhood Research Data City of Grand Rapids - Social Impact
CEPI - Anomaly Detection TwoSix - LLM to Graphs

Tutorial Reviews

Conduct a meeting to review your assigned tutorial as a team. Make sure you have a timekeeper, facilitator and note taker for your meeting.

Review your partner team’s tutorials and provide feedback in the form of either an issue on the gitlab issues page and/or a pull request. When you are done, please review any other tutorials as you have time and are interested.

Summarize in an email to your instructor the following (make sure you cc your entire team):

After you have submitted the email to your instructions share a copy with the team that made the tutorial.

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.