Astronomy Graduate Courses • Fall 2016
Python is becoming the de facto superglue language for modern scientific computing. In this course we will learn Pythonic interactions with databases, imaging processing, advanced statistical and numerical packages, web frameworks, machine-learning, and parallelism. Each week will involve lectures and coding projects. In the final project, students will build a working codebase useful for their own research domain. This class is for any student working in a quantitative discipline and with familiarity with Python. Those who completed the Python Bootcamp or equivalent will be eligible
An introduction to the basic physics of astronomy and astrophysics at the graduate level. Principles of energy transfer by radiation. Elements of classical and quantum theory of photon emission; bremsstrahlung, cyclotron and synchrotron radiation. Compton scattering, atomic, molecular and nuclear electromagnetic transitions. Collisional excitation of atoms, molecules and nuclei.
A survey of physical cosmology - the study of the origin, evolution, and fate of the universe. Topics include the Friedmann-Robertson-Walker model, thermal history and big bang nucleosynthesis, evidence and nature of dark matter and dark energy, the formation and growth of galaxies and large scale structure, the anisotropy of the cosmic microwave radiation, inflation in the early universe, tests of cosmological models, and current research areas. The course complements the material of Astronomy 218.
Special Topics in Astrophysics - Stellar Populations - Astro 250
Instructor: Dan Weisz
This class is a survey of contemporary extragalactic stellar populations. We will cover such topics as the IMF, ages of stars and galaxies, dust, modeling resolved and unresolved stellar systems, and interpreting observations of galaxies at various redshifts. This class involves reading and discussion of key current and historical papers, and gaining an appreciation for challenges in the field through select coding exercises and problem sets.