Advanced MATLAB for Scientific Computing

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Advanced MATLAB for Scientific Computing

Course Details

Cost

FREE

Upcoming Schedule

  • Upcoming

Course Provider

Stanford Online online courses
Stanford Lagunita offers a variety of professional education opportunities in conjunction with many of the University’s schools and departments. We also offer an array of free online courses taught by Stanford faculty to lifelong learners worldwide. We foster collaboration with other education organizations by sharing course material, data-driven research, and source code for enhancements to our open-source platform Stanford Lagunita. We continually experiment to improve what we do throu...
Stanford Lagunita offers a variety of professional education opportunities in conjunction with many of the University’s schools and departments. We also offer an array of free online courses taught by Stanford faculty to lifelong learners worldwide. We foster collaboration with other education organizations by sharing course material, data-driven research, and source code for enhancements to our open-source platform Stanford Lagunita. We continually experiment to improve what we do through creative use of technology, and we share what we learn with the rest of the world.

Provider Subject Specialization
Sciences & Technology
393 reviews

Course Description

The course is aimed for participants working or conducting research in scientific computing. Covered topics in scientific computing will include numerical linear algebra, numerical optimization, ODEs, and PDEs. Relevant applications areas include machine learning, electrical engineering, mechanical engineering, and aeroastro.

There will be seven interactive based lectures with application based assignments to follow.

Participants will be introduced to advanced MATLAB features, syntaxes, and toolboxes not traditionally found in introductory courses. Material will be reinforced with in-lecture examples, demos, and homework assignment involving topics from scientific computing.

MATLAB topics will be drawn from: advanced graphics (2D/3D plotting, graphics handles, publication quality graphics, animation), MATLAB tools (debugger, profiler), code optimization (vectorization, memory management), object-oriented programming, compi...

The course is aimed for participants working or conducting research in scientific computing. Covered topics in scientific computing will include numerical linear algebra, numerical optimization, ODEs, and PDEs. Relevant applications areas include machine learning, electrical engineering, mechanical engineering, and aeroastro.

There will be seven interactive based lectures with application based assignments to follow.

Participants will be introduced to advanced MATLAB features, syntaxes, and toolboxes not traditionally found in introductory courses. Material will be reinforced with in-lecture examples, demos, and homework assignment involving topics from scientific computing.

MATLAB topics will be drawn from: advanced graphics (2D/3D plotting, graphics handles, publication quality graphics, animation), MATLAB tools (debugger, profiler), code optimization (vectorization, memory management), object-oriented programming, compiled MATLAB (MEX files and MATLAB coder), interfacing with external programs, toolboxes (optimization, parallel computing, symbolic math, PDEs).

Thanks to the support from MathWorks, a free MATLAB license is provided for participants taking the course.

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