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Searched for: 6 subjects found.
1.C25[J] Real World Computation with Julia
(
)
(Same subject as 6.C25[J], 12.C25[J], 16.C25[J], 18.C25[J], 22.C25[J])
Prereq: 6.100A, 18.03, and 18.06
Units: 3-0-9
Lecture: MW1-2.30 (4-149)
Focuses on algorithms and techniques for writing and using modern technical software in a job, lab, or research group environment that may consist of interdisciplinary teams, where performance may be critical, and where the software needs to be flexible and adaptable. Topics include automatic differentiation, matrix calculus, scientific machine learning, parallel and GPU computing, and performance optimization with introductory applications to climate science, economics, agent-based modeling, and other areas. Labs and projects focus on performant, readable, composable algorithms, and software. Programming will be in Julia. Expects students to have some familiarity with Python, Matlab, or R. No Julia experience necessary.
A. Edelman, R. Ferrari, B. Forget, C. Leiseron,Y. Marzouk, J. Williams
No required or recommended textbooks6.C25[J] Real World Computation with Julia
(Same subject as 1.C25[J], 12.C25[J], 16.C25[J], 18.C25[J], 22.C25[J])
Prereq: 6.100A, 18.03, and 18.06
Units: 3-0-9
Lecture: MW1-2.30 (4-149)
Focuses on algorithms and techniques for writing and using modern technical software in a job, lab, or research group environment that may consist of interdisciplinary teams, where performance may be critical, and where the software needs to be flexible and adaptable. Topics include automatic differentiation, matrix calculus, scientific machine learning, parallel and GPU computing, and performance optimization with introductory applications to climate science, economics, agent-based modeling, and other areas. Labs and projects focus on performant, readable, composable algorithms, and software. Programming will be in Julia. Expects students to have some familiarity with Python, Matlab, or R. No Julia experience necessary.
A. Edelman, R. Ferrari, B. Forget, C. Leiseron,Y. Marzouk, J. Williams
No required or recommended textbooks12.C25[J] Real World Computation with Julia
(Same subject as 1.C25[J], 6.C25[J], 16.C25[J], 18.C25[J], 22.C25[J])
Prereq: 6.100A, 18.03, and 18.06
Units: 3-0-9
Lecture: MW1-2.30 (4-149)
Focuses on algorithms and techniques for writing and using modern technical software in a job, lab, or research group environment that may consist of interdisciplinary teams, where performance may be critical, and where the software needs to be flexible and adaptable. Topics include automatic differentiation, matrix calculus, scientific machine learning, parallel and GPU computing, and performance optimization with introductory applications to climate science, economics, agent-based modeling, and other areas. Labs and projects focus on performant, readable, composable algorithms, and software. Programming will be in Julia. Expects students to have some familiarity with Python, Matlab, or R. No Julia experience necessary.
A. Edelman, R. Ferrari, B. Forget, C. Leiseron,Y. Marzouk, J. Williams
No required or recommended textbooks16.C25[J] Real World Computation with Julia
(Same subject as 1.C25[J], 6.C25[J], 12.C25[J], 18.C25[J], 22.C25[J])
Prereq: 6.100A, 18.03, and 18.06
Units: 3-0-9
Lecture: MW1-2.30 (4-149)
Focuses on algorithms and techniques for writing and using modern technical software in a job, lab, or research group environment that may consist of interdisciplinary teams, where performance may be critical, and where the software needs to be flexible and adaptable. Topics include automatic differentiation, matrix calculus, scientific machine learning, parallel and GPU computing, and performance optimization with introductory applications to climate science, economics, agent-based modeling, and other areas. Labs and projects focus on performant, readable, composable algorithms, and software. Programming will be in Julia. Expects students to have some familiarity with Python, Matlab, or R. No Julia experience necessary.
A. Edelman, R. Ferrari, B. Forget, C. Leiseron,Y. Marzouk, J. Williams
No required or recommended textbooks18.C25[J] Real World Computation with Julia
(Same subject as 1.C25[J], 6.C25[J], 12.C25[J], 16.C25[J], 22.C25[J])
Prereq: 6.100A, 18.03, and 18.06
Units: 3-0-9
Lecture: MW1-2.30 (4-149)
Focuses on algorithms and techniques for writing and using modern technical software in a job, lab, or research group environment that may consist of interdisciplinary teams, where performance may be critical, and where the software needs to be flexible and adaptable. Topics include automatic differentiation, matrix calculus, scientific machine learning, parallel and GPU computing, and performance optimization with introductory applications to climate science, economics, agent-based modeling, and other areas. Labs and projects focus on performant, readable, composable algorithms, and software. Programming will be in Julia. Expects students to have some familiarity with Python, Matlab, or R. No Julia experience necessary.
A. Edelman, R. Ferrari, B. Forget, C. Leiseron,Y. Marzouk, J. Williams
No required or recommended textbooks22.C25[J] Real World Computation with Julia
(Same subject as 1.C25[J], 6.C25[J], 12.C25[J], 16.C25[J], 18.C25[J])
Prereq: 6.100A, 18.03, and 18.06
Units: 3-0-9
Lecture: MW1-2.30 (4-149)
Focuses on algorithms and techniques for writing and using modern technical software in a job, lab, or research group environment that may consist of interdisciplinary teams, where performance may be critical, and where the software needs to be flexible and adaptable. Topics include automatic differentiation, matrix calculus, scientific machine learning, parallel and GPU computing, and performance optimization with introductory applications to climate science, economics, agent-based modeling, and other areas. Labs and projects focus on performant, readable, composable algorithms, and software. Programming will be in Julia. Expects students to have some familiarity with Python, Matlab, or R. No Julia experience necessary.
A. Edelman, R. Ferrari, B. Forget, C. Leiseron,Y. Marzouk, J. Williams
No required or recommended textbooks
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