Happy fall!
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about what the CCT and our partners have to offer.
Questions about the Center for Computational Thinking?
Contact us at computationalthinking@duke.edu.
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Bostock 127 (The Edge Workshop Room)
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R for lunch: Functions and Iteration
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Friday, September 29, 12:30 - 1:30 pm Eastern
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FOR loops? Maybe FOR loops are a bit dated. Let’s surf past the next level and apply custom functions to larger quantities of data while using fewer coding steps.
R for Lunch is a one-hour lunch-time series designed to help people learn R for reproducible computational thinking. Presented by Data Science Librarian John Little. Registration is required.
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An Introduction to Reproducible Research Practices
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Wednesday, October 11, 10:00am - 12:00 pm Eastern
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This workshop will introduce the concept of “reproducibility” and foundational strategies that can increase the reproducibility of your work, particularly related to organization, documentation, literate coding techniques, version control, and archiving data and code for future access and use.
We will also present the TIER protocol, as a tool that facilitates reproducible research. In the second half of the workshop we will present a potential end-to-end reproducible workflow using Git, RStudio, Binder, and Zenodo to demonstrate some of the concepts in practice. This event is open to non-Duke participants.
Registration is required.
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AI Health Virtual Seminar: Introduction to Machine Learning and Artificial Intelligence in Health
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Thursday, October 5, 4:00 pm - 5:00 pm Eastern
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The transformation in artificial intelligence (AI) and machine learning (ML) is impacting clinical medicine with potential for benefit but also harm.
In this one-hour virtual seminar, Matthew Engelhard, M.D., Ph.D., Assistant Professor of Biostatistics and Bioinformatics and Director of the Duke AI Health Data Science Fellowship Program, and Shelley Rusincovitch, MMCi, Managing Director, Duke AI Health, will introduce AI and ML, highlight capabilities of current methods for images, text, and other big data in clinical settings, and discuss considerations in how to use these powerful methods responsibly. This session will be a high-level introduction accessible to people with no prior knowledge of artificial intelligence.
Registration required.
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The fourth annual Cyber Cup will take place from Friday, October 6 through Sunday, October 8. Students will develop and present policy recommendations designed to address a hypothetical high-stakes cybersecurity scenario.
The winning graduate and undergraduate teams will receive $2,000. Students can register with a team of three to four people, or as an individual. The event will take place in the Sanford Building, room 04.
Read more about the Cyber Cup and register.
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UNIV103: Let’s Talk About Digital You explores the technology shaping our digital experiences and their ethical and societal impacts. Using interactive lectures, workshops, and discussions, the course introduces Duke students to a variety of headline-making technologies and their implications.
Fourteen Duke faculty members will lead seven modules on topics like AI art, large language models, and AI in healthcare and business. Each module's first week teaches a technology through lectures and hands-on workshops, followed by a week on its ethical and societal implications.
The course fosters critical thinking, helping students understand the current complex digital world and adapt to its rapid evolution. It challenges them to consider trade-offs, challenges, and opportunities in personal, professional, and systemic digital experiences. Students will collectively engage with tough ethical and technological questions, envisioning new, creative, socially responsible uses for these technologies.
Registration begins November 1.
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