Research Methods: Difference between revisions

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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:
This course is a topical survey of research methodologies that in the Spring 2017 term focused on computing and programming methods  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 in roughly 5 week sequential segments:


* Python for data analysis, instrument control, and image processing (Kielkopf)
* Python and javascript for data analysis, instrument control, and image processing (Kielkopf)
* Lasers (Mendes)
* Advanced Python (Freelon)
* Ultrafast optics (Smadici)
* Root (Banerjee)


*[http://prancer.physics.louisville.edu/classes/650/syllabus/p650_sp15.pdf Syllabus]
Some on-line course materials are here:
*[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/classes/650/syllabus/p650_sp17.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)]




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== On-Line Resources ==
== Useful On-Line Resources ==


*[http://prancer.physics.louisville.edu/classes/650/latex/index.html Writing with LaTeX]
*[http://prancer.physics.louisville.edu/classes/650/latex/index.html Writing with LaTeX]
*[http://adswww.harvard.edu/ads_abstracts.html NASA Astrophysics Data System Abstract Service (ADS)]
*[http://adswww.harvard.edu/ads_abstracts.html NASA Astrophysics Data System Abstract Service (ADS)]
*[http://arxiv.org/list/astro-ph/new New astrophysics papers on arxiv.org's astro-ph]
*[http://arxiv.org/list/astro-ph/new New astrophysics papers on arxiv.org's astro-ph]
*[http://simbad.u-strasbg.fr/simbad/ SIMBAD astronmical database]
*[http://simbad.u-strasbg.fr/simbad/ SIMBAD astronomical database]
*[http://www.time.gov/timezone.cgi?UTC/s/0/java Coordinated universal time (UTC)]
*[http://www.time.gov/timezone.cgi?UTC/s/0/java Coordinated universal time (UTC)]
*[http://www.stsci.edu/ Space Telescope Science Institute]
*[http://www.stsci.edu/ Space Telescope Science Institute]
*[http://archive.stsci.edu/ Mikluski Archive for Space Telescopes (MAST)]
*[http://archive.stsci.edu/ Mikluski Archive for Space Telescopes (MAST)]
*[http://www.sdss.org/ Sloan Digital Sky Survey]
*[http://www.sdss.org/ Sloan Digital Sky Survey]


== Python External Sites ==
== Python External Sites ==
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*[http://matplotlib.org/ Matplotlib]
*[http://matplotlib.org/ Matplotlib]
*[http://www.stsci.edu/institute/software_hardware/pyfits Pyfits]
*[http://www.stsci.edu/institute/software_hardware/pyfits Pyfits]
*[http://www.astropy.org/ Astropy]
*[http://scikits.appspot.com/scikits Scikits - Scipy toolkits]
*[http://scikits.appspot.com/scikits Scikits - Scipy toolkits]
*[http://www.enthought.com/products/edudownload.php Enthought academic Python distribution]
*[https://www.enthought.com/academic-subscriptions/ Enthought academic Python distribution]




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*[http://www.w3schools.com/js/default.asp JavaScript tutorial]
*[http://www.w3schools.com/js/default.asp JavaScript tutorial]
*[http://www.dartlang.org/  Dart from Google]
*[https://threejs.org/ Threejs.org]

Latest revision as of 04:23, 12 August 2017

This course is a topical survey of research methodologies that in the Spring 2017 term focused on computing and programming methods 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 in roughly 5 week sequential segments:

  • Python and javascript for data analysis, instrument control, and image processing (Kielkopf)
  • Advanced Python (Freelon)
  • Root (Banerjee)

Some on-line course materials are here:


This is a required course for students in the doctoral program in Physics & Astronomy.


Useful On-Line Resources

Python External Sites


Web Application Programming

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