Events Schedule

Does Python confuse you? Do other programming languages seem to make more sense? Come learn best practices programming in Python! In this tutorial, you'll learn some useful features of the Python programming language along with how to write code that is performant and easy to maintain for your research and your personal projects.

A laptop to follow along is strongly recommended for this event.

The cutting edge of science is found in research papers, but they can be intimidating to read. Come learn how to read a research paper and get some experience during this roundtable discussion.

Discussion will be more oriented toward research papers in CS, but this event will still be accessible to people outside of the field.

If you attend this event, you will have to read a research paper ahead of time and will be contacted with more information before the event.

Computing has touched nearly every academic field in some way - whether with chemists using big data to aid drug discovery or with cognitive scientists using artificial neural networks to model the brain. Many of us tend to associate computing with software engineering and information technology, yet computing is so much more than those! Furthermore, with the advent of massively powerful computers and artificial intelligence, how do we ensure that our work and research contribute to the common good?

In this roundtable, we'll discuss just how deep the computational rabbit hole goes, including:

• How computing is changing the nature of scientific discovery

• The ethical and moral problems with so much compute

• How machine learning is impacting everything, everywhere, all at once

• What we can do to mitigate these impacts

Formerly just a branch of statistics, machine learning has been applied to many domains outside computer science. It has been used to help people make decisions and also to help people create art, but just how far do the applications of machine learning go?

In this amusing presentation that is accessible to non-practitioners, you'll learn about how large the influence of machine learning is and learn how powerful its tools are through some lively demonstrations with consideration for broader ethical impacts of the field.

(No laptop required.)

Researchers use a variety of tools and software to help process their data and simplify tedious tasks.

In this tutorial, you'll receive an introduction to several different libraries for data science and data visualization in Python, including NumPy, Pandas, and Scikit-Learn. There will be challenges (competing for bragging rights!) to complete in during the event.

A laptop to follow along is required for this event.

You've been working on your projects, but perhaps not gotten as far as you'd like. Now is the time to hack away before the SPUR abstract deadline! Come work on your projects in the company of others to motivate you and get some help along the way.

A computer is needed for this event.

What happens after the Clark Summer Research Program? Research may be worthwhile pursuit, but perhaps other industries or fields may be interesting to you. From cybersecurity to the medical industry, come learn how your understanding of computing can be used in various fields and disciplines, and walk away with recommendations for study at UT Dallas.

Dr. Ravi Prakash is a professor of computer science at The University of Texas at Dallas. His areas of teaching and research include wireless and sensor networking, mobile computing and distributed computing.