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typos in running locally sentence
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scottyhq committed Jan 28, 2025
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Expand Up @@ -196,7 +196,7 @@ The course is designed for an instructor and a teaching assistant. Instructors t

Classes were taught with 90 minutes class time three times a week, student spend several hours per week on their final project, paper reviews, and homework.

Instructors and students have access to a Jupyter Hub provisioned by University of Washington for the class, which uses the `uwessds/mlgeo-image` Docker Image for a common computing environment. In the 2024 course offering, we made the students install their environment locally with Visual Studio Code, a student license for GitHub education that included a free license to GitHub CoPilot, and integrated this to the instructional time. Students downloaded the Jbook's notebook on their local Mac, Linux, and PC laptops, and ran the notebooks locally. It tooks a full week to have all 35 students fully ready to run the notebooks.
Instructors and students have access to a Jupyter Hub provisioned by University of Washington for the class, which uses the `uwessds/mlgeo-image` Docker Image for a common computing environment. In the 2024 course offering, we made the students install their environment locally with Visual Studio Code, a student license for GitHub education that included a free license to GitHub CoPilot, and integrated this to the instructional time. Students cloned the Jupyter Book repository on their local Mac, Linux, and PC laptops, and ran the notebooks locally. It took a full week to have all 35 students fully ready to run the notebooks.

The integration of GenAI in the 2024 course offering was transformative: the instructor spent less time debugging in class, more time discussing ML concepts, the students spent less time stuck on software engineering and formating, more time discussing their data. This acceleration enable students's final project to complete the 3 milestones of the class: AI-ready data, CML, and DL. However, it should be still emphasized that integrating GenAI required a background knowledge in the scientific domain and in programming skills to understand when genAI was correct, useful, and when it failed.

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