Research Methods: Difference between revisions

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Course materials are here:
Course materials are here:


* [http://prancer.physics.louisville.edu/classes/650/syllabus/p650_sp15.pdf Syllabus]
* [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)]
* [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]

Revision as of 09:35, 2 January 2017

This course is a topical survey of research methodologies that in the Spring 2015 term was 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)

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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