Welcome to the public homepage of Math F615 Numerical Analysis of Differential Equations, Spring 2023, in the Dept. of Mathematics and Statistics at the University of Alaska Fairbanks.

Instructor: Ed Bueler

Email me at elbueler@alaska.edu. I hold office hours in Chapman 306C.

Canvas course page

Log in to canvas.alaska.edu/courses/13208 for the Zoom lecture link, Homework and Exam solutions, and to see your grades.

Getting Started

• Attend lectures: MWF 10:30–11:30am in Brooks 302.

• Read the Syllabus (PDF).

• See the Schedule (PDF). Check it often for due dates, and for which topics come next!

• Check out the near-weekly homework Assignments.

• There are two Exams, a Midterm and a Final. Both are in class, and the Final will happen at the scheduled time. See the Exams tab for review guides.

• You will do a Project on a topic of your choice, starting with a Proposal. Please read the materials on the Project tab before you turn in anything.

• Homework and projects will require some programming in Matlab/Octave or some other suitable scientific computing language. See the Computing tab and Programming languages compared (PDF) for recommended languages.

               

• What are we studying? Check out these Wikipedia pages:

  • partial differential equations (PDEs)
  • ordinary differential equations (ODEs)
  • numerical methods for PDEs
  • numerical methods for ODEs
  • finite difference methods
  • Poisson equation
  • diffusion and heat equations
  • advection equations
  • stiff differential equations
  • explicit versus implicit methods
  • Runge-Kutta methods
  • Lax equivalence theorem for finite difference methods

• See the one-page advertisement (PDF) for this course.

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Site design derived from coordinated Calc I, an original Jekyll design by David Maxwell.