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Difference between revisions of "Research Methods"

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This course is a topical survey of research methodologies that in the Spring 2017 term will focus 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:
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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)
 
* Python and javascript for data analysis, instrument control, and image processing (Kielkopf)

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