October 2022

We hope your semester has been going great!

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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. 

Check out the many offerings by Duke's Center for Data and Visualization Sciences. All sessions are online. Space is limited; registration is required.

- Wed., Oct. 19, 1:00 - 3:00 pm - Preparing Data for Publishing: Standards and Disciplinary Repositories, presented by Jen Darragh and Sophia Lafferty-Hass

- Wed., Oct. 26, 10:00am - 12:00pm - R for Data Science: Custom Functions, Iterations, and Regex, presented by John Little

- Thurs., Nov. 17, 10:00am - 12:00pm - Python for Data Science: Pandas 102 - Melt to Tidy Data and Merge to JOIN, presented by Eric Monson

Retina specialist, mathematician, computer scientist, full-stack AI engineer, and Google Cloud Certified Professional Cloud Security Engineer Stephen Odaibo, M.D. of RETINA-AI Health, Inc. will discuss the end-to-end AI product development process in the medical software field and the challenges and opportunities for AI in healthcare.

During Duke's Fall semester, the AI Industry Seminar Series features speakers every week who share their experience applying AI/Machine Learning in the real world.

Are you an undergraduate curious about the interrelationship of technology, industry, governments, and society? Check out Duke’s Digital Intelligence Certificate! This innovative curriculum will help you develop foundational knowledge in computational technologies and their relationship to society. You may already fulfill some of the requirements!

The Duke Initiative for Science & Society is hosting an information session on October 24 at 1pm, in Brodhead 068. Lunch will be provided! RSVP required.

There’s a lot of buzz around the blockchain space these days. Behind that buzz is a new technology built atop a variety of interesting concepts from many different fields within mathematics and computer science. In this talk, we will go through a precise definition of what a blockchain *is*, the mathematical concepts that make it work, the various kinds of blockchains e.g. Bitcoin and Ethereum, and the future horizons of how mathematics is helping improve these technologies.

Join this first PLUM (Public Lectures Unveiling Math) event of the academic year featuring Dmitry Vagner from Polygon Zero on Monday, Oct. 24 at 5:00pm in Physics 128.

Linear models are routinely used to perform differential abundance analysis in various ‘omics applications, including microarrays, RNA-seq, and proteomics. In this virtual learning experience (vLE) we will introduce linear models from the ground up and demonstrate how to use them to perform differential abundance analysis in a range of experimental designs of increasing complexity.

We will use the F1000 Research article “A guide to creating design matrices for gene expression experiments” as our guide. While no prior experience is assumed, if you would like to code along, you will need to have the programming language R installed.

Join live on YouTube.