ASTRO 4523

Last Updated

  • Schedule of Classes - June 11, 2025 2:48PM EDT

ASTRO 4523
Modeling, Mining and Machine Learning in Astronomy

Course information provided by the 2025-2026 Catalog.

This course covers probability, statistics, and signal processing to develop algorithms for detecting objects and events in astronomical data. Topics include frequentist and Bayesian model inference, time-series analysis, clustering, classification, genetic algorithms, Markov Chain Monte Carlo, and neural networks. Students will apply these methods to real and simulated data using Python and Jupiter notebooks.


Enrollment Information REF-F25 Recommended prerequisite: knowledge of Python or MATLAB.

Distribution Requirements (OPHLS-AG), (PHS-AS, SDS-AS)

Last 3 terms offered 2023SP, 2021SP, 2019SP

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: ASTRO 6523

  • 3 Credits Opt NoAud

  • 19640 ASTRO 4523   LEC 001

  •  
    • TR
    • Aug 25 - Dec 8, 2025

    • Chatterjee, S

  • Instruction Mode: In Person