Research Methods: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
Line 1: | Line 1: | ||
This course is a topical survey of research methodologies that in the Spring | This course is a topical survey of research methodologies that in the Spring 2015 term are drawn primarily from optical physics, 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: | ||
*[http://prancer.physics.louisville.edu/classes/650/syllabus/ | * Python for data analysis, instrument control, and image processing (Kielkopf) | ||
* Lasers (Mendes) | |||
* Ultrafast optics (Smadici) | |||
*[http://prancer.physics.louisville.edu/classes/650/syllabus/p650_sp15.pdf Syllabus] | |||
*[http://prancer.physics.louisville.edu/astrowiki/index.php/Python_for_Physics_and_Astronomy Programming with Python for data analysis, modeling, and instrument control (Kielkopf)] | *[http://prancer.physics.louisville.edu/astrowiki/index.php/Python_for_Physics_and_Astronomy Programming with Python for data analysis, modeling, and instrument control (Kielkopf)] | ||
*[http://prancer.physics.louisville.edu/homework/index.html Upload Python homework] | *[http://prancer.physics.louisville.edu/homework/index.html Upload Python homework] | ||
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. |
Revision as of 07:49, 12 December 2014
This course is a topical survey of research methodologies that in the Spring 2015 term are drawn primarily from optical physics, 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:
- Python for data analysis, instrument control, and image processing (Kielkopf)
- Lasers (Mendes)
- Ultrafast optics (Smadici)
- Syllabus
- Programming with Python for data analysis, modeling, and instrument control (Kielkopf)
- Upload Python homework
This is a required course for students in the doctoral program in Physics & Astronomy.
On-Line Resources
- Writing with LaTeX
- NASA Astrophysics Data System Abstract Service (ADS)
- New astrophysics papers on arxiv.org's astro-ph
- SIMBAD astronmical database
- Coordinated universal time (UTC)
- Space Telescope Science Institute
- Mikluski Archive for Space Telescopes (MAST)
- Sloan Digital Sky Survey
Python External Sites
- Python official website
- Python tutorial
- Python language reference
- Numpy
- Scipy
- Matplotlib
- Pyfits
- Scikits - Scipy toolkits
- Enthought academic Python distribution