Courses of Study 2020-2021 
    
    Mar 29, 2024  
Courses of Study 2020-2021 [ARCHIVED CATALOG]

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ASTRO 6523 - Modeling, Mining and Machine Learning in Astronomy


     
Spring. 4 credits. Letter grades only.

Prerequisite: background in probability and statistics; lower division math background equivalent for a physics or engineering major; background in statistics at the level of ENGRD 2700  or MATH 1710  or equivalent; and knowledge of Python or MATLAB highly recommended. Co-meets with ASTRO 4523 .

J. Cordes.

This course builds upon a review of probability and statistics to explore, develop, and apply algorithms for discovering objects and events in astronomical data, for inference of sophisticated models for populations of objects using frequentist and Bayesian methods, and for visualization and presentation of results to address fundamental questions using persuasive, data-based arguments. Methods include time-series analysis; clustering, classification algorithms, genetic and Markov Chain Monte Carlo methods.



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