## Schedule of Andreas Stahel

The current schedule is on the official school page.

## Files for the Lab Sessions

The files for the local laboratories are in this directory .

## Mathematics 1, Fall 2017

Find the rules for this module in the Merkblatt.

Find the current version of the lecture notes for this class as a PFD file.

Recommended exercises, Fall 2017

1. Ordinary Differential Equations (ODE) I-1: 1, 4, 6, 9, 10, 14, 15, 16, 19, 22, 27
Quiz 1 on October 10, 2017, 10:20am
2. Ordinary Differential Equations (ODE) I-2: 28, 29, 31, 37, 39, 44, 47, 52, 63
Quiz 2 on Tuesday October 24, 2017, 10:20am
3. Laplace Transforms: 2, 3, 4, 5, 8, 12, 16, 17, 24, 27, 28, 34, 39, 42
Quiz 3 on Tuesday November 14, 2017, 10:20am
4. Applications of Laplace Transforms: 2, 4, 6, 8, 13, 16, 21, 24, 26, 27, 31, 32, 34
Quiz 4 on Tuesday December 5, 2017
5. Ordinary Differential Equations II: 11, 12, 17, 24, 31, 33, 34, 40, 45, 48
Quiz 5 on Tuesday January 9, 2018

Date for the final exam: Wednesday Jan 31, 2018 , 13:30-16:30 in room 509

## Mathematics 2, Fourier Methods and Applied Statistics, F2, Spring 2017

As introduction to Fourier methods examine the note DemoDay.pdf. In this short note the two Matlab/Octave codes Phasor.m and AudioSpectrumAnalyzerDezibel.m are used.

This module consists of two courses: Fourier Methods and Applied Statistics. Find the rules for this module in the Merkblatt.

### Fourier Methods

Recommended exercises, Spring 2017

1. Fourier Series I: 1, 3, 4, 7, 9, 10
Quiz 1: Tuesday, March 21, 2017
2. Fourier Series II: 11, 14, 15, 16, 22, 27, 29, 32
Quiz 2: April 25, 2017
3. Fourier Series III: 35, 38, 42 ,47, 50, 53, 55
Quiz 3: June 6, 2017

Date for the final exam : Friday July 7, 2017, 8:30-11:30 in room O.12

Find the current version of the lecture notes for this class as a PFD file.

### Applied Statistics

The course is using the lectures notes by Prof. Roger Filliger, available as PDF: Angewandte Statistik.

Throughout the class Octave and/or Matlab will be used. You will need a laptop with a working copy of Octave or Matlab. For Matlab you will need the Statistics Toolbox and for Octave the package Statistics. Since there are (too) many commands I created a short document with the commands useful for statistics, available at Statistics with Matlab/Octave. This document will be updated during the semester.

Many data sets will be used to test the results and apply the algorithms. Find the data files and sample codes in the directory Data_Files.