Schedule
| FECHA & HORA | Monday 5 | Tuesday 6 | Wednesday 7 | Thursday 8 | Friday 9 |
|---|---|---|---|---|---|
| 09:00 – 10:45 | Opening | Python Object | Running a model | Machine Learning | Challenge |
| 10:45 – 11:00 | Break | ||||
| 11:00 – 12:00 | Team Creation Computation Thinking | Keynote: Niall Gaffney, TACC | Keynote: “Data Quality for Deep Learning” Speaker: Saúl Calderón, Dr | Keynote Speaker: Lilliana Sancho, Dra | Keynote: Ciencia de datos: perspectiva generacional de dos mujeres en el área. Speakers: Sofía Ulloa & Ana Paola Mora Murillo |
| 12:00 – 13:00 | Lunch | ||||
| 13:00-14:45 | Jupyter Notebooks | Python Interactions | Dataset creation | Beginning of Model Analysis Challenge | Challenge Completion |
| 14:45 – 15:00 | Beak | ||||
| 15:00 – 17:00 | Python Primer | Python Interactions | Dataset creation | Challenge | Teams Report Out Findings |
Teams
Bazinga
- [Problem]
- The model does not consider mask effectiveness and vaccination.
- [Intervention]
- Mask effectiveness -Infection rate depends on mask type N95, surgical mask, gauze, silk, etc.
- Vaccination - Infection rate decreases if vaccinated
- [Goal(s)]
- Analyze the reduction of infection considering different types of masks and vaccination.
🎵Team Theme Song:
The Big Bang Theory Song - Barenaked Ladies
Github Repo
def group_name
- [Problem]
- Rate_vaccine analysis
- [Intervention]
- Create a attribute to person (rate_vaccine)
- Calculated the rate_vaccine to each person
- Determine the rate_infection with rate_vaccine
- [Goal(s)]
- Determine the person’s rate_vaccine
- Show the rate_infection of population
🎵Team Theme Song:
Never Gonna Give You Up - Rick Astley
Github Repo
Error 506
🎵Team Theme Song:
Don't Stop Believin - Journey
Github Repo
Group Ubuntu506
🎵Team Theme Song:
Eye Of The Tiger - Survivor
Github Repo
Little Data
🎵Team Theme Song:
Dreamers - Jung Kook (of BTS) featuring Fahad Al Kubaisi
Github Repo
Los 4 Fantasticos
🎵Team Theme Song:
Chicago Bulls Theme - Allan Parsons Project
Github Repo
The Big Lab
🎵Team Theme Song:
El Laboratorio de Dexter Intro
Github Repo
The Christmas Greens
🎵Team Theme Song:
All Star - Smash Mouth
Github Repo
Presentation and Code Examples
To view all slides and resources click here. .
-
December 5, 2022Setting up and logging into DesignSafe-CI Accounts
Links:
• DesignSafe
• TACC User Portal
• TACC and Computational Thinking Slides [PDF]
• Intro to Python
• Big Data Hackathon Group Intro Slides [PDF]
DesignSafe-CI Jupyter -
December 6, 2022Intro to Python and Code Challenge/Computational Thinking
Guest Speakers:
• Niall Gaffney [Email]] (TACC) [Slides]
Links:
• Day 2 Jypyter Notebooks, Joe, and Jane Sides [PDF]"
• DesignSafe
• Intro to Python
• Joe and Jane Working Example Code [IPYNB]
CIR Model Jupyter -
December 7, 2022Creation of Person and Population Objects
Guest Speakers:
• Saúl Calderón Ramírez [Email]] (Tecnológico de Costa Rica)
Links:
• Day 3 Population Model Slides [PDF]"
• SIR Model Code [IPYNB]
• TACC-Learn Slack Channel #2022_bigdatahack
• SIR Model with Objects for Person and Population [IPYNB]
CIR Model Jupyter Python Objects -
Creation of Datasets and use of SciKit-Learn for Machine Learning. Start of the hackathon.
Guest Speakers:
• Lilliana Sancho Chavarría [Email]] (Tecnológico de Costa Rica)
Links:
• Day 4 Adding an Intervention (Masks)
• SIR Model with Mask Intervention [IPYNB]
• Google Colab
• Day 4 Introduction to Machine Learning Sides [PDF]"
• Example Dataset Creation and Machine Learning Code"
• Group Goals Slide Deck [Google Slide]
• GitHub
Python Code Tasks Machine Learning Hackathon -
Hackathon group presentations and closing."
Guest Speakers:
• Ana Paola Mora Murillo • Sofía Ulloa
Links:
• Final Presentations Sildes
Hackathon
Deliverables Due 12/9
"Each team will need to create a code repository at https://github.com for their team project. The link to the repository should be posted to the Slack Workspace TACC-Learn in the #2022_bigdatahack channel prior to your presentation.
The Github repo should include:
* Source Code
* README.md with Team Name and Team Members
* Presentation in PDF form with
- Team Name
- Team Members
- Question Posed
- Findings with Visualizations"
Resources
- Designsafe-CI - https://www.designsafe-ci.org
- SC22 SIR Example Code [Github] - https://github.com/HackHPC/StudentHackatSC22/tree/master/SC22-hack
- Supercomputing22 - https://sc22.supercomputing.org
- HackHPC - http://hackhpc.org
- Texas Advanced Computing Center - https://www.tacc.utexas.edu
- Center for Desease Control - https://www.cdc.gov
- SIR (susceptible(S), infectious(I), and recovered or removed (R)) Model - https://www.sciencedirect.com/topics/mathematics/sir-model
- (SciPython) The SIR epidemic model - https://scipython.com/book/chapter-8-scipy/additional-examples/the-sir-epidemic-model
- R. M. Anderson and R. M. May, Infectious Diseases of Humans: Dynamics and Control, OUP (1992) - http://www.amazon.co.uk/Infectious-Diseases-Humans-Dynamics-Publications/dp/019854040X
- Project Jupyter | JupyterHub - https://jupyter.org/hub
- Individual Hospital Statistics for Texas - https://www.ahd.com/states/hospital_TX.html
- Example Hospitalization Rates Pre-Vaccine - https://www.cdc.gov/mmwr/volumes/69/wr/mm6915e3.htm
- Death Rates between Vaccinated and Unvaccinated - https://www.cdc.gov/mmwr/volumes/71/wr/mm7104e2.htm#T1_down
- Mask Effectiveness - https://www.cdc.gov/mmwr/volumes/71/wr/mm7106e1.htm
- Deep Uncertainty Presentation - https://toolkit.climate.gov/content/decision-making-under-deep-uncertainty
- (EMAWorkBench) Fuzzy Logic Machine Learning Python Library - https://emaworkbench.readthedocs.io/en/latest/