This material is based upon work supported by the National Science Foundation under NSF EHR DRL. 1839656/PI Lauren Birney. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
- Be more knowledgeable about the Billion Oyster Project
- Be more knowledgeable about what Data Science is
- Be introduced to basic statistics
- Be familiar with the Python language fundamentals
- Be familiar with the most common Python data structures and libraries for Data Science
- Be able to create visualizations with Python
- Be able to use Python to carry out basic statistical modeling and analysis
- Be familiar with Design Thinking
- Have developed teamwork and communication skills
- Have applied knowledge on a project based on real data
- Instruction - Zoom
- Communication - Slack
- Documentation - GitHub
- Exploration of the data - Excel
- Code - Python, Google Colab, GitHub
- Design thinking - Mural, Mentimeter
- Presentation - Google Docs
- Google Colab Slides
- Edgar Allan Poe text http://webpage.pace.edu/fparisi/STEM-2020/Python/poe.txt
- Agata Poniatowski, Education Outreach Coordinator at the Billion Oyster Project. Slides
- Dr. Stephen Gosnell, Assistant Professor, Department of Natural Sciences, Baruch College & Graduate Center, CUNY. Slides
- AppFigures, panel with Ariel Michaeli and Oz Michaeli : Co-founders of Appfigures, and Daniel Vogel : Junior Javascript Developer
- Panel of Googlers: Lukman Ramsey, Krista Kohler, Eric Poon, and Amber Morse (Moderator)
- Careers in Technology, Dr. Jane Shmidt, Careers Services, Pace University and Emma Klainberg, Advisor, Seidenberg, Pace University
- Data are here. You can also the data here and clone the repository.
- Sample data (2018expeditions.csv file) (20 lines) - To be used during sessions
- BOP data (bop_data_retrivedbyian.csv file) (1097 lines) - To be used for the project
- (Cleaner) data from 2016 to 2019 (bop_data_2016_2019.csv file) (7594 lines) - To be used for the project
- Material TBA
- What is BOP?
- Learning resources
- Data
- Field Science Manual: Oyster Restoration Station (how data are collected)
- Access the data. BOP Platform (not currrently possible)
- Data How-to Guide
- Digital Platform User Guide Table of Contents
- Sample research questions
Presentations, code, murals etc.
Please note that some of the links require access.
- Team 1
- Team 2
- Team 3
- Team 4
- Team 5
- Team 6
- Team 7
- Team 8
- Team 9
- Team 10