Difference between revisions of "ISC-4304"

 
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== Programming for Science Applications==
 
== Programming for Science Applications==
[[File:eniac4.jpg|left|top]]
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<div>[[File:eniac4.jpg|left|top]]
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(Gloria Ruth Gordon [Bolotsky] and Ester Gerston programming the ENIAC:[http://www.columbia.edu/cu/computinghistory/eniac.html History of ENIAC])</div>
 
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This course provides knowledge of a scripting language (python) that serves as a front-end to popular packages and frameworks, along with a compiled language (C++). Since programming for scientific applications is not a static topic and new languages are emerging at a high rate the students will be also exposed to modern relatives of these languages (Julia and D). Students will study and practice object-oriented scientific programming with the scripting and compiled lan- guage. In the laboratory component of the course students will apply the concepts learned in several science applications.
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This course provides knowledge of a scripting language (python) that serves as a front-end to popular packages and frameworks, along with a compiled language (C++). Students will study and practice object-oriented scientific programming with the scripting and compiled language. In the laboratory component of the course, students will apply the concepts learned in several scientific applications.
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* [[Media:Syllabus-ISC4304-S2019.pdf | Syllabus]]
* [[Syllabus for ISC-4304]]
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* [[Notes ISC-4304 | Class notes and slides]]
* [[Schedule ISC-4304 | Schedule ]]
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* [[Homework for ISC-4304 | Homework ]]
* [[Class notes and slides]]
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* [[Lab assignments for ISC-4304 | Lab assignments]]
* [[Homework for ISC-4304]]
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* [[Resources for ISC-4304 | Resources]]
* [[Lab assignments for ISC-4304]]
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* [[FunExamples | Fun examples we will run in class]]
* [[Resources for ISC-4304]]
 

Latest revision as of 14:14, 6 January 2019

Programming for Science Applications

Eniac4.jpg
(Gloria Ruth Gordon [Bolotsky] and Ester Gerston programming the ENIAC:History of ENIAC)

This course provides knowledge of a scripting language (python) that serves as a front-end to popular packages and frameworks, along with a compiled language (C++). Students will study and practice object-oriented scientific programming with the scripting and compiled language. In the laboratory component of the course, students will apply the concepts learned in several scientific applications.