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Weekly Schedule & Communications

Tuesday 11 am - 13:00 pm Arizona Time.

This schedule is tentative and subject to change

In Session Communication

Communications within meeting are done through HackMD, a Markdown based documentation tool that allows for multiple users to add notes at the same time.

Markdown is a lightweight and extremely simple text formatter used by platforms such as GitHub, GitLab and LLM chatbots such as ChatGPT to display text in an intended manner without using CSS or HTML.

If you are not familiar with Markdown, we highly suggest visiting the Markdown Guide for quick reference.

Links to each week's HackMD are posted next to the Topic Overview column and made available prior to the session starting.

Calendar

Week Date Content Topic Overview HackMD link
Week 1 Sept. 2 Intro to Open Science - The big picture of what Open Science is and why do it.
- How to apply the Open approach to various scientific processes and enhance your individual research.
Session 1 HackMD
Week 2 Sept. 9 Data management & Documentation - Inferring on the importance of data and how your project can benefit from successful data management, discussing DMPs, storage, sharing and licences.
- Emphasizing the role of effective documentation for research and projects in the age of Open Science.
Session 2 HackMD
Week 3 Sept. 16 How to Talk to Computers - Learning of the command line, a more direct and powerful way to instruct your computer.
- Introduction to the basics of the Unix Shell.
- Why shell skills are useful for personal computing, cloud, and HPC.
Session 3 HackMD
Week 4 Sept. 23 How to Talk to LLMs - Understanding how large language models (LLMs) work and how to effectively prompt them.
- Exploring use cases for research and coding.
- Limitations, biases, and ethical considerations when working with AI tools.
Session 4 HackMD
Week 5 Sept. 30 Reproducibility I: Version Control - Introduction to Git & GitHub as tools for personal and collaborative work through version tracking using GitHub. Session 5 HackMD
Week 6 Oct. 7 Reproducibility II: Software Environments - Reproducibility means for code to be executable on any machine; This session tackles this exact topic: computing enviroments and package managers ensure your analysis runs smoothly across machines. Session 6 HackMD
Week 7 Oct. 14 Reproducibility III: Containers - Continuing on reproducible analysis with software containers.
- Introduction to container technology (e.g., Docker).
- Running simple containers to illustrate how and why to use them.
Session 7 HackMD
Week 8 Oct. 21 Remote Computing: CyVerse - Introduction to CyVerse, a University of Arizona cloud computing platform, useful for storing data, executing pipelines and publishing datasets. Session 8 HackMD
Week 9 Oct. 28 Remote Computing: High Performance Computing (HPC) - What to do when your laptop won’t cut it for large-scale analysis.
- Basics of high performance computing (HPC).
- How to log on, navigate, and submit jobs to the University of Arizona HPC.
Session 9 HackMD
Week 10 Nov. 4 AI Models & Where to Find Them (Training Your Own AI Models) - Overview of available AI models for research.
- How to train, fine-tune, and deploy your own models.
- Practical considerations: compute needs, datasets, and reproducibility.
Session 10 HackMD
Week 11 Nov. 11 Help Session We will take a break from new content and simply be available to answer any questions related to the workshop content including helping with your personal capstone projects. -
Week 12 Nov. 18 Capstone Presentations Each Student will present their capstone project! -