NB (reversed time ordering):
(5/6) Here is the list of examination exercises (where indexing starts with zero). You find your exercise using the following algorithm: take the last two digits of your student-number and interpret it as a two-digit number, X; now the index of your exercise is (X mod N) where N is the number of exercises in the list (the index of the last exercise plus one).
For simplicity there shall be only one actual deadline, 24:00 on Sunday 30/6, for everybody: you can do your examination exercise at any time in June.
You still have to upload the file-with-the-link-to-your-repository to the examination server at the official examination time.
If you feel your assigned exercise is too complicated, you can pick any exercise from the list for the price of a reduced grade (indicate it in your report together with what is wrong with the assigned exercise).
(15/5) The official examination will take place from 6/6 09:30 until 7/5 09:30. If you plan to take part in the examination you must during this period upload a file with the link to your repository to the examination server.
After that you may either take the examination during the same period,
from 6/6 09:30 until 7/5 09:30, or you may take the examination on 26/6
09:30 until 27/6 09:30.
The instructions will be posted here in due time.
You do not need to sign up, just come here
on one of the two dates and follow the instructions.
The examination project must be done in a separated directory
(indicatively called, for example, "exam") in your repository. You have
24 hours for the project.
There will be no teaching Wednesday 15/05.
The final grade will be the weighted sum of the grade for the exercises (70%) and the grade for the examination project (30%). Under condition that both grades are positive and that the obligatory exercises for the first part of the course are done satisfactorily.
Check that your repository is accessible to everybody.
I will browse through one or two of your exercises—randomly chosen—and if I agree with your score, I will accept it. If there is something wrong with a randomly chosen exercise, I will seriously check more exercises and will grade them myself.
Check that your row in our spreadsheet is programmed correctly and that it calculates correctly your score. The score determines your grade for the exercises:
91% ≤ score - A (12) 81% ≤ score < 91% - B (10) 71% ≤ score < 81% - C (7) 61% ≤ score < 71% - D (4) 51% ≤ score < 61% - E (02) score < 51% - F (00)
Remember to provide an "out.txt" or/and a "plot.svg" file which proves that you have done the exercise satisfactorily. Remember to make the exercise before submitting.
Schedule:
Onsdag | 12 - 15 | Auditorium D4 (1531-219) | uge 5-15, 17-20 |
Fredag | 13 - 16 | Auditorium G1 (1532-116) | uge 5-15, 17-20 |
Exercises:
Weekly notes:
Interpolation [chapter.pdf]
Linear equations [chapter.pdf]
Eigenvalues and eigenvectors [chapter.pdf] (= Eigenvalue decomposition (EVD), = matrix diagonalization)
Linear least-squares problem [chapter.pdf]
Nonlinear equations (root-finding) [chapter.pdf]
Multidimensional Minimization [chapter.pdf]
Ordinary differential equations [chapter.pdf]
Numerical integration (quadratures) [chapter.pdf]
Monte Carlo integration [chapter.pdf]
Artificial Neural Networks [Wikibook "Artificial Neural Networks"]
Fast Fourier transform and applications.
[chapter.pdf]
Eigenvalues 2: Power methods and Krylov subspace methods [chapter.pdf]
Numerical integration 2