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Expand Up @@ -39,19 +39,20 @@ See the Grading Rubric for guidance on how the contents of this notebook will be

For the rest of the class, each student will work on different research questions or aspects of the project with as individuals or small subgroups. You can propose ideas, show results, and get guideance from instructor and clients at the twice weekly breakout sessions. This notebook is documentation of whatever you are workinging. Makes sure to coordinate with your teammates to ensure you are working on different aspects of the project.

To get you thinking, here are some of the research questions that have been proposed for the Mars project so far.
To get you thinking, here are some of the research questions that have been proposed for the Mars project to tackle this semester. We need to convert these questions into data analytics tasks using appropriate data. We will coach you through on this process and help you pick good question in our Monday and Wednesday breakouts. Bring your ideas to the breakouts.


![Dr. Roger's Mars Question on 9-4-24](../../Resources/MarsQuestions2024-09-04.png)

These are Dr. Bennett's Mars questions from Day 1 lecture plus so more


1) Whatever Dr. Roger’s wants.
2) develop new analyses/visualizations with an emphasis on integrative analysis of the different types of data (e.g. PIXL, SHERLOC, SuperCam/LIBS, and Lithology)
3) Incorporate these analysis into improved Campfire demo
2) Develop new analyses/visualizations with an emphasis on integrative analysis of the different types of data (e.g. PIXL, SHERLOC, SuperCam/LIBS, and Lithology)
3) Incorporate these analysis into improved Campfire demo. What would Dr. Rogers consider to be an improved Campfire demo?
4) Develop standalone "2D" app incorporating Campfire and enhanced analysis/visualization capabilities.
5) Understand LIBS and develop an insightful standalone Libs analysis.
6) Develop a deeper understanding of each dataset by looking at NASA sources and published papers. Our we missing data? Are we correctly integrating data? How does LIBS data correspond to samples?
6) Develop a deeper understanding of each dataset by looking at NASA sources and published papers. Are we missing data on campaigns etc? Are we correctly integrating data? How does LIBS data correspond to the 16 Samples?

Please put valuable resources (like websites and papers) on github https://github.rpi.edu/DataINCITE/DAR-Mars-F24/wiki Dr. Bennett has started this process by creating a wiki on DAR-MARS-F24 with short description and links to resources. Files (like letures are in DAR-Mars-F24/Resources. You can add more to the wiki and add files to the the Resources directory on github. You can edit the wiki too.

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