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| Item | | ---------------------- | -------------------------------------------------------------------------------------------- | | Schedule | Tuesdays 6:00 - 7:00 PM Eastern | | Location | Zoom. Details on Carmen | | Professor | Greg Ryslik / ryslik DOT 1 AT osu DOT edu | | Professor Office Hours | Likely Friday - via zoom. Details on Carmen. Contact me ahead of time if you plan to attend. | | TA | To be confirmed | | TA Office Hours | To be confirmed | | Slack Link | See email invite. |
This class aims to introduce ways to mine and analyze data for people that are data related fields but are not necessarily computer scientists or data scientists. This webpage will serve as a source of content for the course and will eventually house the homeworks and project code files. It is highly encouraged that you simply fork this entire repo and then just sync updates periodically. This will provide you the easiest access to all the updated code at once. For more information on this process, you can see the documentation here.
If you would like to make a correction or a fix (either to this page or the associated jupyter notebooks/data) please submit a pull request. I'll review and merge and then hopefully, everyone taking this class benefits!
The direct link to the actual repository is here: https://github.com/gryslik/gradtda5622.
- Homework x5: 30%
- Case Studies x4: 40%
- Final Project: 20%
- Participation: 10%
There might be tentative bonus points assigned for harder math or cs problems. Max would be at most 2-3% per problem.
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