ICME Refresher Course

Institute for Computational and Mathematical Engineering

The ICME refresher course is four day long review intended to provide the incoming students with an opportunity to review material relevant to their upcoming coursework. The material covered help participants prepare for the first-year ICME core classes, as well as other classes in applied mathematics, science and engineering. The courses are suitable for incoming ICME graduate students and other graduate students with a technical background.

This year, we are offering courses in:

  • Numerical Linear Algebra
  • Partial Differential Equations
  • Statistics and Probability
  • Discrete Mathematics and Algorithms

Evaluation

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Registration

Registration is free. You can enroll in any or all of the courses offered.
To register please complete this form.

Course Information

Location: Math Corner (basement) 380-380C [Map]

Time: MTWTh 9:00AM-4:00PM September 14 - 17th (the week before classes start)

Detailed Schedule

Monday, September 14th
  • 9:00am-10:15am: Differential equations [notes]
  • 10:30am-11:45am: Differential equations
  • 11:45am-1:00pm: Lunch
  • 1:00pm-2:15pm: Linear algebra [notes]
  • 2:30pm-3:45pm: Statistics and Probability [slides]

Tuesday, September 15th
  • 9:00am-10:15am: Linear algebra [notes]
  • 10:30am-11:45am: Linear algebra [notes]
  • 11:45am-1:00pm: Lunch
  • 1:00pm-2:15pm: Discrete Mathematics and Algorithms
  • 2:30pm-3:45pm: Differential equations

Wednesday, September 16th
  • 9:00am-10:15am: Differential equations
  • 10:30am-11:45am: Linear algebra [slides]
  • 11:45am-1:00pm: Lunch
  • 1:00pm-2:15pm: Statistics and Probability [slides]
  • 2:30pm-3:45pm: Discrete Mathematics and Algorithms

Thursday, September 17th
  • 9:00am-10:15am: Linear algebra [slides]
  • 10:30am-11:45am: Differential equations
  • 11:45am-1:00pm: Lunch
  • 1:00pm-2:15pm: Discrete Mathematics and Algorithms [notes]
  • 2:30pm-3:45pm: Statistics and Probability [slides]

Supplementary Materials from Previous Years

David Gleich's PageRank: [slides]

Linear Algebra: [slides] [notes][Margot's CME 200 notes]

Differential Equations: [notes]

Statistics and Probability: [slides]

Discrete Mathematics and Algorithms: [slides] [notes]

Contact

Lan: lanhuong AT stanford DOT edu

Course Instructors

Danielle Maddix: dcmaddix AT stanford DOT edu
(Numerical Linear Algebra)

Lan Huong Nguyen: lanhuong AT stanford DOT edu
(Numerical Linear Algebra)

Fei Liu: liufei AT stanford DOT edu
(Partial Differential Equations)

Dangna Li: dangna AT stanford DOT edu
(Statistics and Probability)

Nolan Skochdopole: naskoch AT stanford DOT edu
(Discrete Mathematics and Algorithms)