Michigan State University Data Science Capstone.
Please spend 5 minutes giving advice to your instructors on how we can make the course better:
When you get to class, log onto CATME and provide a review of you and your team’s performance on the slide development milestone.
The following video can be reviewed to help with instructions for the peer-to-peer content on CATME.
I would like to use this as an opportunity to do some shout outs. Please think about people both inside and outside the class who have helped you so far. Use this as an opportunity to speak up and thank them.
Exchange project plans with another team (figure out how to connect with them and send the document, a pdf is fine):
Team A | Team B |
---|---|
HFH - Revenue Cycle Prediction | City of Grand Rapids - Social Impact |
Kellanova - Point of Sale Analysis | Tribal Start Program - Tribal Early Childhood Research Data |
Techsmith - Healthy and Engaged User Data Exploration | ICER - User Data Analytics |
HAP - Synthetic Data Generation | CEPI - Anomaly Detection |
Intramotev - Automated Video Data Labeling for Autonomous Trains | Ford - Defect Prediction |
TwoSix - LLM to Graphs | QSIDE - SToPA: MultiTown Data Analysis |
As a group review their proposal and provide them some constructive feedback. The more you can provide the better. Some things to think about include the following:
When typing up the proposal feedback, try to avoid words like you/your when giving criticism (criticize the project not the people). Even better, word your criticisms as specific suggestions for improvements.
When you are done writing up your feedback, share your notes with the other team and the instructors. Read over your own teams feedback and ask for any clarifications.
In two weeks, teams will be be giving their first presentation. Your next deadline will be a full storyboard for the presentation (Due Sunday February 4th).
Presentations will be recorded so that they can be shared with the project community partners.
Written by Dr. Dirk Colbry, Michigan State University
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.