Research Methods: Difference between revisions
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This is a required course for students in the doctoral program in Physics & Astronomy. | This is a required course for students in the doctoral program in Physics & Astronomy. | ||
== External Sites == | == Python External Sites == | ||
*[http://www.python.org/ Python official website] | *[http://www.python.org/ Python official website] | ||
*[http://docs.python.org/2/tutorial/ Python tutorial] | *[http://docs.python.org/2/tutorial/ Python tutorial] | ||
*[http://docs.python.org/2/reference/ Python language reference] | *[http://docs.python.org/2/reference/ Python language reference] | ||
*[http://www.dartlang.org/ Dart | *[http://www.numpy.org/ Numpy] | ||
*[http://www.scipy.org/ Scipy] | |||
*[http://www.stsci.edu/institute/software_hardware/pyfits Pyfits] | |||
== Web Application Programming == | |||
*[http://www.us-cert.gov/cas/techalerts/TA13-010A.html CERT alert about Javascript] | |||
*[http://www.dartlang.org/ Dart from Google] | |||
Revision as of 21:28, 12 January 2013
This course is a topical survey of research methodologies that in the Spring 2013 term are drawn primarily from astronomy and astrophysics, but are broadly applicable for graduate students who are engaged in doctoral level research in the physical sciences and engineering. With the objective of providing useful tools and a perspective on how advanced scientific research is conducted, we will cover three topics:
- On-line resources, databases, and use of LaTeX for scientific writing (Williger)
- Programming with Python for data analysis, modeling, and instrument control (Kielkopf)
- Elements of optical spectroscopy and statistics (Lauroesch)
This is a required course for students in the doctoral program in Physics & Astronomy.
Python External Sites