- Course Sessions
- Saturday Night Electives
- Meet the Scientist
Additional Material
Introduction to NetLogo, Track 1, Schedule
- 4 hours of Netlogo coding class
- Bias and Representation in Machine Learning
- Meet the Scientist
Meet with a Scientist to help you make your proposal better.
Geospatial Agent-based Modeling / Netlogo and Python Class, Track 2, Schedule
- Bias and Representation in Machine Learning
- 2 hour Geospatial Agent-based Modeling in Netlogo coding class
- 2 hour Python class
- Meet the Scientist
Meet with a Scientist to help you make your proposal better.
Experienced, Track 3, Schedule
- Jupyter Notebooks
- Data Science and Relational Modeling
Linear and Nonlinear Correlation - Python Mesa slides
MIT App Inventor, Track 4, Schedule
This is a unique 5-hour MIT App Inventor learning strand. Students, if you decide this is right for you, you'll need a team member with an Android or Apple smartphone, a laptop computer, and a good attitude for learning.
Students, register here for this track.
Teacher Afternoon Tea, Speare room 116, 1:45 - 2:45
- Come for refreshment and discussions.
- Handouts: Summary of STEM Competitions, Professional Development Opportunities
- Website Dates, Need for Login, Spam Filter
- Mentors
- Q and A
Facilitated by Consult (consult@supercomputingchallenge.org) Member Karen Glennon and Creighton Edington
Developing a Strong Project
- Developing a Strong Project webpage
Meet the Scientist/Proposal Review
The students should have submitted their proposals and reviewed the Computational Science Process map. The Meet the Scientist Proposal Review form will be filled out.
The purpose of the session is to make sure teams have chosen a problem that is suitable for computational science, has measurable components so that a mathematical model can be developed, and from that a computing solution can be written. The session is secondarily about mentoring teams who have good proposals and are ready to get started on their projects. Meet the Scientist is a key session for helping students get off to a good start on their projects. For info about Proposals, see: Proposals.
It may be helpful to look at the proposal guidelines and the proposals that are already up on the Challenge web page – Proposals. There is also a link on the web page for questions to ask to direct the students: Team Project Development. Additionally, Areas of Science links to areas of science and may be helpful for teams still looking for an idea. This guidelines link can be useful, too: Challenge Proposal Guidelines. You can see which teams have submitted proposal on the proposals page of the Challenge web site, Proposals.
Here is the Agent Based Planning Document for Middle School teams choosing to do an Agent Based model.
Introduction to Computational Science and Modeling
- Introduction to Computational Science and Modeling (.pptx)
- Computational Science and Modeling including Mathematical Modeling (.pptx)
- Computational Science Process Map
- Patterns of Change and Mathematical Models (.pdf)