Michigan State University Data Science Capstone.
Decisions will need to be made for every project. Often these decisions need to be made to close your loops. This assignment you show you how to create a selection matrix not only help make a decision but communicate how the decision is made. It is expected that a similar selection matrix will be included in your final report as a main component and/or an appendix. For some projects your selection matrix may even be the biggest deliverable your team will provide.
The goal of this Friday project is to build a selection matrix and pick a tutorial your team will add to the DTTD git repository. We will be adding the tutorials in later weeks.
In your teams brainstorm tools that you may need for your projects. Specifically focus on any open loops you may have and tools that you will need to learn. You also want to pick a tutorial that future students will find useful.
Your goal is to find a minimum of around 3 tools (no max but more than 12 may be a lot) you would consider for your project. You may consider an existing tool in the DTTD but you will need to make a significant contribution or addition to the tutorial. The best tools are those that may be used in future classes so that future students may learn from your tutorial.
Identify selection criteria you will use to pick your tutorial. Try your best to use quantifiable metrics but simple True/False or Yes/No attributes can also work.
The rows (or columns) of your matrix should be contain a list of the tutorials your group brainstormed. The columns (or rows) will be
Short title (include team name and member names)
List of tutorials that you are considering.
List of ways each of the options will be compared (numbers are generally better).
The actual matrix doing the comparison with rows (or columns) showing each option and columns (or rows) listing the metrics.
Given the matrix, write up about how the selection was made.
Put your report in your teams folder. Be ready to present your choices next week in class.
Written by Dr. Dirk Colbry, Michigan State University
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.