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Course Evaluation Results

Course Details

Fall 2016-2017
* AST 303   Graded A-F, P/D/F, Audit

Modeling and Observing the Universe: Research Methods in Astrophysics

Jenny E. Greene
Michael A. Strauss

How do we observe and model the universe? We discuss the wide range of observational tools available to the modern astronomer: from space-based gamma ray telescopes, to globe-spanning radio interferometry, to optical telescopes and particle detectors. We review basic statistics and introduce students to techniques used in analysis and interpretation of modern data sets containing millions of galaxies, quasars and stars, as well as the numerical methods used by theoretical astrophysicists to model these data. The course is problem-set-based and aims to provide students with tools needed for independent research in astrophysics.

Sample reading list:
Ivezic, Connolly, VanderPlas and Gray, Statistics, Data Mining, Machine Learning in Astronomy
Hale Bradt, Astronomy Methods:Physical Approach to Astronomical Observat

Reading/Writing assignments:
Weekly problem sets. Final oral or written presentation

Requirements/Grading:
Oral Presentation(s) - 25%
Class/Precept Participation - 15%
Problem set(s) - 60%

Prerequisites and Restrictions:
PHY103/104 OR PHY 105/106, and MAT 103/104, or consent of instructor. Background in computer programming is helpful, but not required..

Website:  http://www.astro.princeton.edu/~strauss/AST303

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
20706 L01 3:00 pm - 4:20 pm M W   Jadwin Hall   A07   Enrolled:21 Limit:40