Michigan State University Data Science Capstone.
All projects you will find “in the real world” require you to learn something. Knowing how to learn something new is a key learning goal of this class. To help with the many skills you may need for your project, this capstone course maintains a repository of student generated “tutorials” which can be found in the following repository:
We will be working on these during Friday classes for the rest of the semester. In today’s assignment we would like you to just review what has been done. There are three major goals for this review.
Your team’s task for the day is to go through one of the tutorials (assigned by team by the instructors), find bugs, issue or improvement and then submit a “issue” to the git repository.
The following is a list of teams and the randomly assigned tutorials.
Team | Tutorial |
---|---|
HFH MT - Motion Tracking | GoogleSheetsTutorial1.ipynb FFmpegDemo.ipynb Matplotlib_tutorial.ipynb image_thresholding_tutorial/ Classification.ipynb |
Justair - Air Monitoring Startup | BERT_VectorSimilarity_Python/ pcatutorial.ipynb PySpark_Tutorial.ipynb R_Shiny_App_Tutorial/ FuzzyWuzzy.ipynb |
MSU Deer Drones - Satellite Imaging | Auto_Cropping_Image_Tutorial/ Networkx and Pyvis.ipynb AudioDataTutorial.ipynb Pandas.ipynb DTTD_Tutorial_Widgets-D2LAPITeam.ipynb |
MSU Curriculum - Curriculum Mapping | StandardLibrary_C++.ipynb datasets/ Pointers.ipynb Functions_in_Python.ipynb References.ipynb |
MvX Rail - Safty Monitoring | DAX_Tutorial/ Streamlit/ Central_Limit_Theorem.ipynb Gradients.ipynb Uniscraper_Tutorial/ |
WBTPD - Patrol Optimization | Scope_C++.ipynb Basic_Containers.ipynb Loops.ipynb GoogleSheetsTutorial.ipynb GUI_Tutorial.ipynb |
Your group is expected to review all of the tutorials. However, today we will start with just this small set (I recommend one tutorial per person). As a group do the following:
Gitlab and github have a simple mechanism for reporting “issues” inside the repository. Go to the SCHOLAR gitlab page and click on the “issues” button at the top. Once there you can read through the current issues and make new ones by pressing the green “new issues” button on the top right. When creating the issue put in a lot of details, be very specific about what file has the problem and what you know needs to be done to fix it. Please consider the following when submitting an issue:
Each member of the team should author at least one NEW git issue (comments to existing issues do not count). More is better but help each other out and try to make good quality issues that have substance and are not redundant and/or just filler. There is always something that is missing or needs improvement.
NOTE: I realize we are using a lot of jargon. This is normal when you start a new job. Please research anything you don’t understand and talk with your team. Come to your instructor with questions if you can’t figure out something together.
Written by Dr. Dirk Colbry, Michigan State University
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.