Course syllabus

This page contains information about the main structure of the course. Other information, such as learning outcomes, literature and examination, are in a separate course PM.

Before the course starts, I would ask you to browse through "Stuff that you should already know”. I will recall several of these concepts as we need them in the lectures, but you might still find it useful to refresh a few things from the list. 

Course structure:

Lectures and Exercise sessions

Homework assignments (optional)

The schedule can be found on TimeEdit.

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Teacher + Examiner: Anders Södergren, andesod@chalmers.se

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Course literature 

There is no course book. Notes will be provided as the course goes on. If you want additional reading material, either

Fourier analysis: An introduction, by E. Stein and R. Shakarchi

or 

Fourier analysis and its applications, by G.B. Folland

will cover essentially all the relevant theory. In addition, a series of  Vignettes, prepared by Michael Björklund, are available. These serve as useful tools to illustrate bits of theory or some computational tricks. As the lectures go on, I will try to point you to vignettes relevant to recently covered material.

Exercise sheets  (as well as detailed solutions to some of them) can be found here. A list of recommended exercises (from these sheets) for each course week can be found here. 

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Examination

Written exam on October 28, 2024.

Total: 50 points. 

Grades:

G = [23-37 points], VG = [38-50 points].

Exams from previous years can be found here.

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