Webinar: Information session on Carnegie Mellon University School of Computer Science Executive Education’s Introduction to Algorithms and Data Structures program (Webinar) by Emeritus

Information session on Carnegie Mellon University School of Computer Science Executive Education’s Introduction to Algorithms and Data Structures program (Webinar)

About

There is a rapidly growing demand for technology professionals who understand the ways in which algorithms drive today’s world. The number of technical professionals who list “algorithms and data structures” among their skills is increasing by 25% year over year, according to LinkedIn Insights. Keep pace with this rapidly growing field by enrolling in Algorithms and Data Structures, an online program offered by Carnegie Mellon University's School of Computer Science Executive Education. Participants receive an in-depth understanding of the design principles behind real-world, problem-solving algorithms, as well as the data structures that support them.

Register for this informative webinar to learn more about the upcoming Introduction to Algorithms and Data Structures program from Carnegie Mellon University School of Computer Science Executive Education.

When

Mon, May 9, 2022 · 9:00 AM Eastern Time (US & Canada) (GMT -4:00)

WEBINAR ENDED

Agenda

Hear from pioneering thought-leaders
Dive deeper into fascinating topics that are changing the world
Explore how our multifaceted learning approach will help you create lasting impact
...and so much more!

Presenters

David P. Woodruff

Associate Professor, Department of Computer Science, Carnegie Mellon University

David Woodruff is an associate professor in CMU's Computer Science Department. A recipient of the 2021 Herbert Simon Award for Teaching Excellence in Computer Science, he has taught algorithm programs since joining CMU in 2017.

Over his professional career, David has been a member of the Visiting Faculty Program at Google's Mountain View Research Division; research scientist at the IBM Almaden Research Principles and Methodologies Group; and visiting scholar at the Tsinghua University Institute for Theoretical Computer Science. He is author of the book Sketching as a Tool for Numerical Linear Algebra and more than 200 articles for refereed publications. He holds a Ph.D. in computer science from the Massachusetts Institute of Technology.

Anupam Gupta

Professor, Department of Computer Science, Carnegie Mellon University

Anupam Gupta is a professor in CMU's Computer Science Department. He taught Graduate Algorithms at CMU in the Spring 2021 semester. He is recipient of the 2019 Herbert Simon Award for Teaching Excellence in Computer Science.

Anupam's research interests include theoretical computer science, with an emphasis on algorithms for uncertain environments and metric embeddings. He has received a CAREER Award and an Alfred P. Sloan Research Fellowship. In addition, he is a member of the Joint Indo-US Networked Center for Algorithms Under Uncertainty and has published more than 160 papers. He holds a Ph.D. in computer science from the University of California, Berkeley, and a B.Tech from the Indian Institute of Technology, Kanpur.