Stanford Root

Schedule

Stanford Root

Schedule

CME 192

MATLAB for Scientific Computing and Engineering

UNITS:1
GRADING:Satisfactory/No Credit
LEVEL:Undergrad
GER:—

This short course runs for eight weeks/eight lectures. It is intended for both students with prior programming experience who are expected to use MATLAB in math, science, or engineering courses, and for ambitious students with no prior programming experience. It consists of interactive lectures and application-based assignments. The goal of the course is to make students fluent in MATLAB and to provide familiarity with its wide array of features, in real-world settings. We will have a special emphasis on learning how to actually apply MATLAB outside of a classroom setting. The course introduces essential MATLAB programming concepts and data structures, and builds toward applied scientific computing workflows involving visualization, numerical linear algebra, simulation, machine learning, and toolbox-driven analysis in realistic problem settings.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

3 Terms
Workshop 1Open
ID: 24984
0 / 75 enrolled
DAYS:TBD
TIME:TBD
LOCATION:TBD
1unit

CME 192: MATLAB for Scientific Computing and Engineering

1 units · Satisfactory/No Credit

This short course runs for eight weeks/eight lectures. It is intended for both students with prior programming experience who are expected to use MATLAB in math, science, or engineering courses, and for ambitious students with no prior programming experience. It consists of interactive lectures and application-based assignments. The goal of the course is to make students fluent in MATLAB and to provide familiarity with its wide array of features, in real-world settings. We will have a special emphasis on learning how to actually apply MATLAB outside of a classroom setting. The course introduces essential MATLAB programming concepts and data structures, and builds toward applied scientific computing workflows involving visualization, numerical linear algebra, simulation, machine learning, and toolbox-driven analysis in realistic problem settings.

Offered in Autumn 2026, Winter 2027, Spring 2027 at Stanford University.

Autumn 2026 sections

  • Workshop — TBA TBA (Undergrad)

Winter 2027 sections

  • Workshop — Thursday 4:30 PM – 5:20 PM — Winnicki, John (Undergrad)

Spring 2027 sections

  • Workshop — TBA TBA (Undergrad)

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