ICME Summer Workshops @ Santiago

Fundamentals of Data Science


January 8, 2018 to January 12, 2018 at Pontificia Universidad Católica de Chile

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The data deluge is a challenge that calls for new methods for processing and analyzing data, and interpreting the results


Professionals working today in processing and analyzing massive amounts of data or performing large-scale simulations require an understanding of the concepts and the intuition that underlie the computational, mathematical, and statistical methods that are used in practice.

The ICME Summer Workshop is an annual event organized in Silicon Valley by the Institute for Computational and Mathematical Engineering at Stanford University, where professionals, faculty and students attend short courses about the fundamentals of Data Science and Scientific Computing.

The Institute for Mathematical and Computational Engineering at Pontificia Universidad Católica de Chile invites you to the ICME Summer Workshop Fundamentals of Data Science in Santiago from January 8 to January 12, 2018 to be taught by guest instructors from the Institute for Computational and Mathematical Engineering, Stanford University.

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courses here

Workshops


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Introduction to Numerical Linear Algebra
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Introduction to Parallel Programming
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Introduction to Machine Learning
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Introduction to Interactive Data Visualization in D3
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Seminar


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Seminar "Collaboration between Industry and Academia"
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Talks


We will have talks from faculty at the Institute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, in topics related to Data Science and Scientific Computing.
The talks will be between 12:15 and 12:55 on the date indicated

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for more information


Date Presenter Title
Monday, January 8 Elwin van t' Wout Efficient Computational Simulations for Wave Propagation Phenomena
Wednesday, January 10 Carlos A. Sing Long Modern Reconstruction Methods
Thursday, January 11 Gustavo Angulo Optimization under Uncertainty: Developments and Challenges
Friday, January 12 Cristóbal Guzmán Dimensionality Reduction: Classical, Modern, and Fast

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Contact


Questions? Comments? Do not hesitate to contact us!

+56 - 2 - 2354 - 1100