WELCOME TO THE
CENTER FOR COMPUTATIONAL THINKING
We are excited to bring you the first mailing from Duke's Center for Computational Thinking (CCT). Our overall goal is to enable computational education at Duke and beyond, to ensure that every Duke student, regardless of field of study, is prepared for the digital 21st century. Toward this end, we partner with faculty, programs, and departments across Duke, including +DataScience, Duke Learning Innovation, the Innovation Co-Lab, and many more, to bring computational learning experiences and opportunities to Duke students, faculty, and staff.
Every month, we'll send you details of upcoming events covering a range of topics, such as data science, cybersecurity, policy, ethics, and blockchain. Please share this email and spread the word about what the CCT and our partner programs have to offer!
Questions about the Center for Computational Thinking? Contact us at firstname.lastname@example.org.
ANNOUNCING THE NEW
DIGITAL INTELLIGENCE CERTIFICATE
Duke Machine Learning Winter School
Sunday, January 2, 9:00am - 2:30pm Eastern
Monday, January 3, 9:00am - 4:00pm Eastern
Tuesday, January 4, 9:00am - 4:00pm Eastern
Registration will close Friday, December 17 for the Duke Machine Learning Winter School: Computer Vision (MLWS-CV), being offered January 2-4, 2022 as a live, virtual three-day class that provides lectures on the fundamentals of machine learning and computer vision.
The curriculum in the MLWS-CV is targeted to individuals interested in learning about machine learning (ML) with a focus on computer vision: a field that seeks to develop foundational theory and computational approaches for the characterization and understanding of digital images. From an applied perspective, computer vision aims at using such approaches to automate tasks traditionally carried out by humans. The MLWS-CV will introduce the mathematics and statistics at the foundation of modern machine learning models for computer vision and provide context for the methods that have formed the foundations of rapid growth in artificial intelligence (AI).
Learn more about the Machine Learning Winter School.
Coding Out Loud - Episode 2
Tuesday, January 11, 4pm Eastern
One hour, one dataset, a pair of programmers. In each episode Dr. Mine Çetinkaya-Rundel will team up with an undergraduate student to collaboratively explore and visualize a dataset with the goal of both answering questions of mutual interest with the dataset and showcasing the process of doing data science, with R, collaboratively.
The session will feature live coding and audience participation. Coding-along is encouraged, however those who would just like to watch and/or contribute ideas in the chat for improvements are equally welcome!
Basic familiarity with R and tidyverse will be helpful, however the only requirement for participation is a browser and a stable internet connection.
Our guest host for Episode 2 is Holly Cui (B.S. in Statistics with Data Science Concentration and Minor in Computer Science, Class of 2023).
Watch Episode 1 on YouTube.
Duplicates, Iterations, Data, and Visuality
Thursday, January 20, 4:00 - 5:30pm Eastern
- Mine Çetinkaya-Rundel, Ph.D., Professor of the Practice of Statistical Science
- Bill Fick, Lecturing Fellow of Art, Art History & Visual Studies
- Kelsey Brod, Ph.D. student in the Computational Media, Arts and Cultures program
This virtual learning experience is programmed in support of the AI for Art Competition.
Faculty and staff from the Visual Arts and Statistical Science will explore the role of computational processes in the making of visual art.
How do the methods of art creation intersect with the resulting work? Is a system capable of massive iterative outcomes capable of art making? Where do the tolerances, affordances and bounds of technologies become opportunities for visual art?
Examples of artwork, data visualization and generative processes will be discussed with examples from contemporary and historic practitioners.
Innovation, Influence and Originality: Artificial Intelligence in the Creation of Visual Art
Thursday, January 27, 4:00 - 5:30pm Eastern
This virtual learning experience (VLE) is programmed in support of the AI for Art Competition.
Faculty member and visual artist Augustus Wendell will explore the methods of applying Artificial Intelligence to the creation of Visual Artworks. Work by contemporary computational artists will be examined and explored in terms of techniques and outcomes. How does a computational process become a collaborative partner in the creation process? Where do artificial intelligence methods cross the line from prescriptive generation to opportunistic potentials?
This VLE will include the specific demonstration of several common AI techniques for art generation. Methods demonstrated will be made available after the VLE for adaptation and application for the competition.
In Person and on YouTube Live
Save the Date! CCT Symposium
|Matthew Hirschey, Ph.D., Associate Professor of Medicine and CCT Director|
The CCT will hold a symposium on the afternoon of Thursday, March 3 to celebrate computational thinking at Duke University.
The event will follow a hybrid format, with in-person presentations for a small live audience complemented by a livestream from the CCT's YouTube channel. If you can't watch live, the videos will be available online after the event.
More details, including more speakers and topics, will be announced soon.
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