- Schedule of Classes - January 21, 2021 7:14PM EST
- Course Catalog - January 21, 2021 7:15PM EST
Course information provided by the Courses of Study 2020-2021.
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.
When Offered Spring.
Prerequisites/Corequisites 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.
Distribution Category (PBS-AS, PHS-AS, SDS-AS)
Regular Academic Session. Combined with: ASTRO 6523
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
- TRTo Be Assigned
- Feb 8 - May 14, 2021
Instruction Mode: In Person
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
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