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Scientific Computing Training Series

Cornell’s Fall 2024 Scientific Computing Training Series kicks off Oct. 2nd!
The series features 5 webinars scheduled for Wednesdays from 9:00 to 10:00 a.m. ET, with an optional 30-minute discussion period immediately following each session. It’s open to all Cornell, Cornell Tech, and Weill Cornell Medicine undergraduate/graduate students, postdocs, faculty, and staff. You can register for individual webinars or the entire series.

Webinar Schedule:

  • Oct. 2: Introduction to Python – Chris Myers will provide an overview of Python, covering its programming language, software ecosystem, and essential concepts. This session is ideal for both beginners as well as more experienced Python users seeking a new perspective.
  • Oct. 9: Introduction to JupyterLab for Python/R – Christopher Cameron will showcase Jupyter Notebooks, highlighting their use in scientific communication through a blend of text, code, statistical analysis, and visualizations. This session is geared toward those working with or interested in Jupyter Notebooks.
  • Oct. 23: Python for Computational Science, Data Science, and Machine Learning – Chris Myers will explore key components of the Python software stack used for numerical computing, scientific algorithms, data processing, visualization, and machine learning.
  • Oct. 30: Getting Started with R – Zilu Wang will introduce new users to the RStudio interface, its features, and best practices, including the use of Quarto for documenting and sharing data analysis and research.
  • Nov. 6: Data Analysis with R – Christopher Cameron will present examples of data analysis and visualization in R, helping researchers assess if learning R is beneficial for their work. Attendees are encouraged to submit their own examples for potential inclusion.

To register:

Cornell Sponsors: The Scientific Computing Training Series is sponsored by the Center for Advanced Computing (CAC) who will be providing the instruction and Weill Cornell Medicines’ Scientific Computing Unit, ITS, and the Clinical and Translational Science Center.
We look forward to your participation!
Paul Redfern
Associate Director
Cornell University Center for Advanced Computing (CAC)
Cell 607-227-1865