A MathWikiből
(Változatok közti eltérés)
35. sor: 35. sor:
# Getting started with Python [ ipynb] [ html]
# Getting started with Python [ ipynb] [ html]
# Loops, lists [ ipynb] [ html] (The fields In [1] – In [29] was in the lecture, the others are for the lab)
== Labs ==
== Labs ==

A lap 2021. február 15., 12:00-kori változata


General informations

  • Lecturer: Ferenc Wettl (wettl)
  • Labs: Muhammad Imran (imran)
  • Lecture
    • Monday 9:15–10:00 H406
  • Lab
    • Wednesday 12:15–14:00 H601


Course Requirements


The midterms will worth 20 points each. You have to reach a minimum of 10 points in every midterm!

  1. midterm: 2021-03-12 Friday ??:??
    • repetition: ?
  2. midterm: 2021-04-16 Friday ??:??
    • repetition: ?
  3. midterm: 2021-05-13 Monday ??:??
    • repetition: ?
  • extra repetition:
    • You can repeat only one of the previously failed midterms.

Quick Quiz

At the beginning of every lab, there will be a Kahoot! quiz, testing the previous material.

  • The maximum point (for the semester) is 10
  • You have to reach a minimum of 5


The lectures can be read in html format or you can run them as jupyter notebook.

  1. Getting started with Python ipynb html
  2. Loops, lists ipynb html (The fields In [1] – In [29] was in the lecture, the others are for the lab)


We will use on the labs. You can start a similar notebook with the command jupyter notebook on your computer (if it is installed).


  • There will be 40 points of homeworks during the semester
    • 30 points is considered a 100% so there is 10 points of extra homework
    • You have to reach at least 15 points at the end of the semester
  • You have to submit the homeworks to
  • Use your math account!
  • The exercises should be submitted as an attachment file with the same name as the exercise.

For example, the exercise fahrenheit should be submitted by sending an email to the given address (before the deadline) with an attachment, a plain text file containing your code.

You can make such a text file with Notepad++ or in jupyter with New -> Text File.


You can read more about the homework tester system.


Személyes eszközök