Well File:
- Well Planning ( results)
- Shallow Hazard Analysis ( results)
- Well Plat ( results)
- Wellbore Schematic ( results)
- Directional Survey ( results)
- Fluid Sample ( results)
- Log ( results)
- Density ( results)
- Gamma Ray ( results)
- Mud ( results)
- Resistivity ( results)
- Report ( results)
- Daily Report ( results)
- End of Well Report ( results)
- Well Completion Report ( results)
- Rock Sample ( results)
Software Developer
Model AI Assignments 2016
Neller, Todd W. (Gettysburg College) | Brown, Laura E. (Michigan Technological University) | Marshall, James B. (Sarah Lawrence College) | Torrey, Lisa (St. Lawrence University) | Derbinsky, Nate (Wentworth Institute of Technology) | Ward, Andrew A. (Software Developer) | Allen, Thomas E. (University of Kentucky) | Goldsmith, Judy (University of Kentucky) | Muluneh, Nahom (University of Kentucky)
The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning experience, we here present abstracts of six AI assignments from the 2016 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs.