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Computational Competencies – Learn Science, Master Code
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Learn Science, Master Code

about Computational Competencies

As part of the ETH wide initiative following the 2020 teaching retreat, many degree programmes have already expanded the range of courses available to acquire and deepen Computational Competencies.

In this Refresh Teaching event, ETH faculty will share teaching approaches to foster competencies in data analysis, computational modelling and programming - embedded in their domain specific scientific context.

Dr. Urs Brändle Strategische Initiativen E-Mail senden
Dr. Doris Follini D-USYS E-Mail senden
Dr. Alexander Caspar D-MATH E-Mail senden
Dr. Alexander Eichler D-PHYS E-Mail senden
Dr. Alexis Shakas D-ERDW E-Mail senden

Intro on the topic

Intro by Urs Brändle (Strategic initiatives) and Daniel Flück (LET)

Dr. Doris Follini

Dr. Doris Follini (D-USYS) about enabling students with basic programming skills to extract insights from climate data using python tools.

Dr. Alexander Caspar

Dr. Alexander Caspar (D-MATH) on how JupyterNotebooks help to better understand mathematical content.

Dr. Alexander Eichler

Dr. Alexander Eichler (D-PHYS)  about preparing 1st year Physics students for the Data Analysis that lies ahead.

Dr. Alexis Shakas

Dr. Alexis Shakas (D-ERDW) on his students efficient use of AI-Copilot in developing program code in Geophysics.