Links & pointers

These are of course only a small selection of resources and pointers. There is a huge amount of information in the public domain, easily found by applying some elementary internet searching strategies. The items below were relevant around mid-way of the OCESE project. Many others could be included, however it was considered “out of scope” to provide a more exhaustive bibliography.

OCESE Project links

• F. Jones, UBC Edubytes article “Implementing computational tools for learning”, November 2023. Sharing the Department’s project to implement open source computational tools and teaching tactics to facilitate hands-on interdisciplinary learning in data-driven scientific exploration.

• Original OCESE proposal

• 3 year schedule as of Jan 2022. (Priorities and deliverable scheduling have been changing as personnel, resources and COVID-19 evolve.)

• Project repository

• EOAS on github

• The eoas_ubc conda package channel

Related projects & programs at UBC

• The Experiential Data science for Undergraduate Cross-disciplinary Education or EDUCE project.

• Started in 2022 with “large TLEF” funding, the UBC COMET project is all about Jupyter Notebook resources for learning statistical methods in economics.

• UBC’s Open Education Resources - OER site.

• UBC Faculty of Science’s Data Science Report, Sep. 2019.

• DSCI 100 initial implementation report, Nov. 2019.

• UBC’s Data Science Minor; description and how to apply.

• Microbiology-bioinformatics 2017/2018 TLEF project description.

• Synergies; three related Teaching and Learnign Enhancement Fund (TLEF) projects

• DSCI 100 repository

• STAT 201 repository

• A strategic planning “how to” info-graphic.

• UBC’s June 2023 Edubytes about open scholarship.

• open-source earth sciences: SimpEG, Fatiando a Terra, geosci.xyz,

  • Jupyter books: Numerical Techniques for AOE scientists, R. White and S. Allen,

  • DSCI100 python text & repo.

  • Need to find ocgy and atsc examples. Consider searching for software capentry. Ask S. Allen.

Data Science programs at UBC-Vancouver and UBC-Okanagan

• Major in Data Science at UBC Okanagan campus.

• Minor in Data Science in UBC’s Faculty of Science.

• MDS: Master of Data Science in UBC’s Faculty of Science.

• UBC Certificate Program in Data Science - an extended learning program.

• “DSCI” (Data Science) courses offered by UBC’s department of Computer Science.

Related organizations

• Pangeo education/training.

• 2i2c: design, development and operation of JupyterHubs for research and education.

• Project Pythia: An education and training hub for the geoscientific Python community.

• What’s missing? Send suggestions for this spot to fjones@eoas.ubc.ca.

Summary-style documentation we have found useful

• See other tutorial and How-To-Guides pages in this website for sources about:

  • Working at the comand line

  • Git commands

  • Git workflows

  • Conda & environments

  • Jupyter Notebooks

  • Docker containers and running dashboard servers

• Markdown for Jupyter notebooks cheatsheet.

• MyST syntax cheat sheet.

UBC pre-OCESE python timeline

2005 - python adopted in ATSC 301/ATSC 405/ATSC 409/ATSC 500/EOSC 511/EOSC 582
2014 - launch of Project Jupyter
2015 - Berkeley introduces 1st year jupyter-based course: data8
2016 - python adopted in majors CPSC first year curriculum
2017 - PIMS launches syzygy on compute canada hardware
2019 – Sara Harris convenes the data science discussion group, which yields Bringing Accessible Data Science Training to Undergraduates.
2020 - 2023: OCESE - Open-source Computing for Earth Science Education, T. Ivanchko as principle investigator.

Open source python software

• Earth science big data (pangeo)

• NASA open science initiative

• Climate data analysis: xcdat (US DOE)

• Weather data - Metpy (NCAR), Scitools (UK met office)

• GIS – proprietary (arcinfo) and open source (qgis)

• Machine learning: tensorflow (google), pytorch (facebook), rapids (nvidia)