The Geometry of Space stream is associated with the FRI program at the University of Texas Austin. In the stream, students will begin to understand the large-scale structure of the universe through a study of the distribution of galaxies and clusters of galaxies using algorithms developed in computational geometry and applying techniques in data analytics. The galaxy data is obtained from professional databases - SDSS, SIMBAD, NED, and GAIA.
We want to answer one seemingly simple question:
What does the universe look like on the large scale?
Researchers interested in astronomy, computer science, physics, or mathematics will gain experience in data analysis and programming. Students will learn how to formulate research questions, collect data, and produce a paper to be published in an undergraduate research journal.
Specifically, Geometry of Space researchers will learn:
- basic astronomy
- programming in Python
- data analysis using toolkits in Python - Jupyter Notebook, NumPy, SciPy, MatPlotLib, Pandas, SQL
The stream is led by Professor Shyamal Mitra in the Computer Science department of the College of Natural Sciences
Company Details
Geometry Of Space Questions
Geometry Of Space's website is https://spaceg.cs.utexas.edu/main_page/main.html
Geometry Of Space's LinkedIn profile is https://www.linkedin.com/company/geometry-of-space
Geometry Of Space has
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Geometry Of Space's industry is
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Geometry Of Space's categories are Education
