CMSE 495

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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.

View the Project on GitHub msu-cmse-courses/cmse495-SS23

Iterative improvements

Agenda for today’s class (80 minutes)

  1. Final CATME Reviews
  2. (80 minutes) Course Review

0. Final CATME team review

When you get to class, log onto CATME and provide a review of you and your team’s performace on the slide development milestone.

1. Course Review

Today I would like you to think about ways to improve this course for students in the future. We talked about this a bit but we are looking for ideas that we can implement in the classroom, the assignments, etc to help prepare students for the open nature of the projects and help them learn and be successful.

As a group, please take notes of what you think is important and have your group send me an email at the end of class.

Step 1: Review Course goals and syllabus

To start lets review the slides and syllabus from day one. We can go over this quickly. I am interested to see if my plan for the semester met our expectations.

Step 2: Group breakout

In your groups, I would like you to think about at least two bullet points for each of the following (you will be sharing this with the class). This exercise is called “Start, stop and continue” and can be used as a way to adjourn a group.

Share your ideas with the rest of the class.

Step 3: Ideas for course improvement

Finnally as a class lets share our ideas and brainstorm other things we can do to make this course even better. Please recourd all ideas here:

Step 4: SIRS forms

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.