Applied Statistics - Week 8

Monday the 14th - Friday the 18th of January 2019

ERDA shared link to full week material: bX4dvSEQET

The following is a description of what we will go through during this week of the course. The chapter references and computer exercises are considered read, understood, and solved by the beginning of the following class, where I'll shortly go through the exercise solution.

Monday:
Fitting is an art, and the higher level of details wanted, and hence the more parameters involved, the greater of an art it is. Todays exercise is one in advanced fitting, introducing more and more parameters.

This week we will be looking at advanced fitting and the tips and tricks of this "art", which is at the same time the last curriculum relevant for the exam.

Reading:
  • Curve Fitting (Wikipedia)
    Lecture(s):
  • I will talk about fitting in general, and give a short introduction to todays exercise.
    Computer Exercise(s):
  • Advanced fitting exercise: HarmonicOscillatorFit.ipynb,
    data_HarmOsc1.txt,
    data_HarmOsc2.txt,
    data_HarmOsc3.txt,


    Tuesday:
    The last day of lectures will be different in rooms and times! We will start by meeting in the exercise rooms (B215+B221) for the first hour (13:15-14:00), with the aim of sorting out any last technical issues and questions on code. Afterwards, we'll go down into the large auditorium (B086) for two hours, and there I will:
  • Go through the curriculum and make notes to it, and answer questions on statistics.
  • Let you ask all the questions you may have regarding the exam.

    Reading:
  • You should at this point have read the whole curriculum and all the exercises.
    Lecture(s):
  • These will essentially be very short versions of the last seven weeks lectures.
    Computer Exercise(s):
  • Whichever you think are relevant (13:15-14:00 and 16:00-17:00).


    Thursday:
    Exam will be given at 8:00 at the latest.
    Possible files and scripts will be made available on the course webpage and ERDA at the same time. I will announce it on Absalon.

    Friday:
    Exam has to be handed in by 12:00 WITH NO EXCEPTIONS!
  • Non-Ph.D. students should submit their solution at eksamen.ku.dk along with their code (as an appendix - as many files as you like!).
  • Ph.D. students should send their solution (along with code) by mail to me (petersen@nbi.dk).
  • If you have any problems, then you should write or call me!
    Last updated: 12th of January 2019.