Courses

These sections outline the intentions and outcomes for each course affected by the OCESE project.

Some courses were significantly transformed in terms of pedagogy, resources, and/or content.

Other courses were impacted on smaller scales by introducing one or more interactive dashboard apps, helping instructors introduce new learning activities, coordinating computing hubs or servers for running Jupyter Notebooks or dashboards, evaluating impacts of innovations, and/or by generating guidelines for installing Python, Jupyter, and other opensource computing facilities.

Where feasible the course impact summaries include comments on these aspects:

1. Goals: intended improvements, and why;

2. Actions taken

3. Students’ experiences;

4. Instructors’ experiences;

5. Costs: time taken & steps to design, build, test, deploy, & evaluate;

6. Lessons learned and next steps if any.

Courses and essential contributions made by OCESE are summarized in the following table.

Course	Title	Contributions	Comments
ATSC301	Atmospheric Radiation and Remote Sensing	Python, JNB, Jbooks, GitHub	All aspects implemented prior to OCESE, so this course served as precedent for OCESE decisions and actions.
DSCI100	Introduction to Data Science	Build a Python version of this R-based course	Python version of the textbook, worksheets, assignments and assessments. First taught Jan-Apr, 2023.
ENVR300	Introduction to Research in Environmental Science	Dashboard(s)	3 made, 2 used.
ENVR420	Ecohydrology of Watersheds and Water Systems	Planned: R to Python & Jupyter notebooks (JNBs)	Not started for various logistical reasons.
EOSC112	The Fluid Earth: Atmosphere and Ocean	Dashboard(s) & class activity consulting	Section 101 only; not yet implemented in sectionn 201.
EOSC114	The Catastrophic Earth: Natural Disasters	Preliminary discussions about interactive learning exercises.	Use of mind-maps or flow-charts for learning about the “cause-and-effect” nature of natural processes were discussed and protypes build but not tested.
EOSC116	Mesozoic Earth: Time of the Dinosaurs	Dashboards	Used in online and in-person versions.
EOSC211	Computer Methods in Earth, Ocean and Atmospheric Sciences	Convert MatLab to Python; JNBs; Jbooks tried but dropped as inefficient, autograding	Major transformation; significant contributions from teaching assistants.
EOSC310	The Earth and the Solar System	Dashboard “Daisyworld”	Online section only.
EOSC323	Structural Geology I	dashboard	piloted as an optional resource for students.
EOSC325	Principles of Physical Hydrogeology	3 dashboards, question management and consulting	New course in 2021W.
EOSC326	Earth and Life Through Time	dashboards	climate and image annotation apps tested.
EOSC329	Quantitative Groundwater Hydrology	dashboards (as per EOSC 325) planned but not implemented	Not completed for various logistical reasons.
EOSC340	Global Climate Change:	Dashboards developed, question management and autograding	2021W: prairielearn introduced. 2022W: CMIP6 dashboards completed.
EOSC350	Environmental, Geotechnical, and Exploration Geophysics I	Support for online delivery; J-Hubs	Pre-existing suite of Jupyter Notebooks used as ‘apps’ with no student programming. 2020W: online “field” labs. 2021W: hub only. 2022W: hub only.
EOSC354	Analysis of Time Series and Inverse Theory for Earth Scientists	Convert MatLab to Python & JNBs	11 assigs: JNBs + workflow for delivery and assessment.
EOSC372	Introductory Oceanography: Circulation and Plankton	dashboard	Explore data about global ocean water properties.
EOSC373	Introductory Oceanography: Climate and Ecosystems	dashboards proposed	Not completed for logistical reasons.
EOSC425	Palaeontology	Dashboard	global temperature factors
EOSC429	Groundwater Contamination	Dashboard	In progress 2023.
EOSC442	Climate Measurement and Analysis	Convert 4 MatLab labs to Python & JNBs	All four computing labs.
EOSC471	Waves, Currents and Ocean Mixing	Convert MatLab assignments to Python with JNBs	In progress 2023.