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Computer Vision with Giles Bergel Workshop

Computer Vision with Giles Bergel Workshop

September 19, 2018
Wilson Hall, Room 142

Lunch will be served afterwards.


Click on Image to Enlarge

Giles Bergel workshop letter_v4-1

Datapalooza 2018

Datapalooza 2018 LOGONovember 9, 2018
Newcomb Hall | 8am — 6pm

Join the UVA Data Science Institute for Datapalooza 2018! Featuring highlights from cutting-edge research happening across Grounds, skills sessions led by industry experts, roundtable discussions on a variety of data science topics, and more.

For this year’s event, we will be hosting four sessions of “research highlights” highlighting the work of faculty and students from across the University. The four areas are: Machine Learning; Data Visualization; Data Integration and Engineering; and Data Ethics, Law, Policy and Social Implications.

The Call for Proposals is open now and submissions are due no later than 11:59pm on Friday, September 21, 2018. To learn more and to submit a proposal, visit Datapalooza Research Highlights Call for Proposals.

Registration will be opening soon. Check Datapalooza 2018 on our website and subscribe to our newsletter for updates.

ARCS Summer Education Series (Registration Open)

Would you like to learn the basics of high-throughput and parallel computing? Do you want hands-on high performance training that you can apply to your research? If so, then we invite you to attend one or more sessions in ARCS’ Summer Education Series. The sessions are free for all UVA faculty, staff, and students. Topics include how to program in Python, scientific visualization, modern Fortran, data analytics, MPI for distributed systems, OpenMP for multicore systems, and more! Lectures on relevant topics will be delivered during the morning sessions; afternoon sessions offer hands-on practice. Continental breakfast and snacks will be provided. Attendees are responsible for their own lunches.

2018 Sessions:

May 30-June 1: Programming in Python–Topics include fundamental data types; simple expressions; lists and list operators; input and output to the console; conditionals and looping; writing functions to perform specific tasks; understanding the scope of variables; creating modules and namespaces; reading from and writing to files; tuples and dictionaries; NumPy, SciPy, and Matplotlib.

June 4: Intermediate Python–Topics include derived types and classes; constructors and methods; data hiding; inheritance; polymorphism.

June 5: Software Design and Testing Principles–An overview of how to manage software projects. Topics include development processes for software; modularizing and organizing code; methodologies of code testing; using version control, specifically git.

June 6: Scientific Visualization–An introduction to tools for rendering images. Topics include advanced visualization techniques in Python; ParaView; VAPOR.

June 7-8: Compiled Languages (C++ and Fortran 2003)–An introduction to the basics of programming in a compiled language. Topics include use of a compiler; differences between compiled languages and interpreted languages; data types and typing; arrays and array operations input and output; conditionals and loops. Prerequisite: Some programming experience

June 11: Introduction to High-Performance Computing–An overview of how to use a High-Performance Computing (HPC) cluster. Topics include Unix and BASH; resource managers; optimization of serial codes; submitting serial jobs to the cluster.

June 12: High-Performance Data Analytics–An overview of data analytics using an HPC Cluster. Topics include data transfer and storage; introduction to machine learning, including tensorflow.

June 13-14: Parallel Programming Using MPI–An introduction to parallel computing using the message passing interface (MPI). Includes details of how MPI works and how to use MPI for global communications and point-to-point communications.

June 15: Parallel Programming Using OpenMP and Accelerators–An introduction to parallel programming using multi-core (i.e., shared memory) models. A brief introduction to accelerators, such as general purpose GPUs.


DH Speaker (Katherine Bode) & Mixer

You are invited to come to Katherine Bode’s DH@UVa talk on Tuesday, April 24 at 4:00pm in Brooks Hall Commons. Please come (and bring a friend) to hear about Katherine Bode’s ground-breaking work, and stay for the food, drink, and follow-up conversation at the 5:30pm DH Mixer.

You can register for the DH Mixer here so that we can give the caterer a head count, but as always, feel free to show up whether you have registered or not!

The future of literary history:

Mass-digitized collections, literary data, and American fiction in the Antipodes

Abstract: Bode’s research considers the new insights into past literary cultures, as well as the new practices for present and future literary history, that mass-digitized collections enable. She first explores how these discoveries expand the transnational history of American literature, by investigating the publication and reception of American fiction in 19th-century Australia. Bode then suggests new research practices that mass-digitized collections necessitate and enable for literary history. In her lecture, she will focus on the approaches to data required of literary history in the digital age, as well as the new collaborations and publics for literary history that data-rich research makes possible.

About Katherine Bode

More about Katherine can be found here.

Sponsoring Organization(s):

Francesca Fiorani, Associate Dean, College and and Graduate School of Arts and Sciences
Archie Holmes, Executive Vice President and Provost for Academic Affairs
Ron Hutchins, Vice President for Information Technology
John Unsworth, Dean of Libraries and University Librarian
Institute of Global Cultures and the Humanities

DSI Hosting: Women in Data Science Charlottesville

WiDS2018 copy 2March 16, 2018

Register now for the 2018 Charlottesville Women in Data Science (WiDS) Conference on March 16. Hosted by the UVA Data Science Institute, the conference aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This year’s event will feature a keynote presentation by Red Hat Vice President of Enterprise Data & Analytics Heidi Lanford, roundtable lunches led by leading women in the field, and skills sessions in R and machine learning.

Click here to view the conference agenda.

WiDS Charlottesville is a regional event affiliated with the Global Women in Data Science (WiDS) Conference which will be held March 5, 2018 at Stanford University. All genders are invited to participate in the conference, which features exclusively female speakers.