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252-0840-02L 2 Credits BSC , DZ , DR , SHE , MSC , GS D-USYS , D-MAVT , D-PHYS , D-INFK , D-ERDW , D-ITET , D-HEST

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Application-Oriented Programming with Python

Anwendungsnahes Programmieren mit Python

Lecturers & Examiners: Dr. Lukas Emanuel Fässler, Dr. Markus Dahinden

VVZ CR 4.2

Last Updated: 2026-02-05 15:55:07

Abstract

This course provides important basic concepts for interdisciplinary programming projects. The programming language is Python and Matlab.

Objective

Students learn - how to encode a problem into a program, test the program, and correct errors. - to understand and improve existing code. - to implement models from the natural sciences as a simulation.

Content

The following programming concepts are introduced in the lecture: 1. Variables, data types 2. Control structures, logic 3. Arrays, search- and sort algorithms, simulating, modelling 4. Functions, modules , animation 5. Matrices, Monte-Carlo simulation 6. Classes and objects In the practical part of the course, students work on small programming projects with a context from natural sciences. Electronic tutorials are available as preparation.

Resources

Literature

L. Fässler, M. Dahinden, D. Komm, and D. Sichau: Einführung in die Programmierung mit Python und Matlab. Begleitunterlagen zum Onlinekurs und zur Vorlesung, 2016. ISBN: 978-3741250842.

Learning Materials (Links)

Main link
Webseite der Lehrveranstaltung
Learning environment
E.Tutorial-Plattform

General Information

Language: German
Levels: BSC , DZ , DR , SHE , MSC , GS
Frequency: Yearly recurring

Examination

Type: ungraded semester performance

Diese Lehrveranstaltung wird mit pass/fail bewertet. Damit Sie die Bewertung "pass" erhalten, müssen Sie eine Reihe von formativen Assessments absolvieren. Dabei handelt es sich um 10- bis 15-minütige, individuelle Präsentationsgespräche mit Assistenzpersonen. Sie präsentieren dabei entweder Ihre Lösung einer vorgegebenen, selbständigen Aufgabe (Modul 1-6) oder Ihr Resultat am Selbsttest (Modul 7).Den Selbsttest lösen Sie je nach Covid-19 Situation an einem Computer der ETH oder zu Hause. Der Test dauert 60 Minuten und muss alleine bearbeitet werden. Ein USB-Stick wird benötigt. Erlaubte Hilfsmittel: das in der Vorlesung verkaufte Buch (es sind nur handschriftliche Notizen auf bestehenden Seiten erlaubt), Wörterbuch für Fremdsprachige, Schreibzeug.

Course Components

Type	Title	Time & Place	Hours
lecture with exercise	Anwendungsnahes Programmieren mit Python Blended Learning-Veranstaltung bestehend aus Vorlesung (Do 16-17), online Tutorials und betreuten Übungsstunden. Die genauen Unterrichtszeiten von ONLINE - Veranstaltungen werden von den Dozierenden kommuniziert.	Mon 18:00-19:00 (ON LI NE) Thu 16:00-17:00 (ON LI NE) Thu 17:00-18:00 (ON LI NE) Thu 18:00-19:00 (ON LI NE) Fri 09:00-10:00 (ON LI NE)	2 h weekly

Offered In

Computer Science (General Courses)
- Computer Science for Non-Computer Scientists
Earth and Climate Sciences Bachelor
- Majors
  - Major: Climate and Water
    - Electives (The electives listed are recommended. Additional courses can be chosen from the complete offerings of the ETH Zurich and University of Zurich.)
Environmental Sciences Bachelor
- Basic Courses II
  - Additional Compulsory Courses (Students have to take twoo Integrade Practical In spring semester 21.)
Agricultural Sciences Bachelor
- Electives (The electives listed are recommended. However, electives can be chosen from the complete course offer of the ETH Zurich and University of Zurich.)
Food Science Bachelor
- Electives (A list with possible electives will be published separately.)
Biomedical Engineering Master
- Major Courses
  - Biomechanics
    - Recommended Elective Courses (These courses are particularly recommended for the Biomechanics track. Please consult your track adviser if you wish to select other subjects.)
  - Medical Physics
    - Other Elective Courses (These courses may be suitable for the Medical Physics track. Please consult your track advisor.)
Physics TC (Detailed information on the programme at: )
- Specialized Courses in Respective Subject with Educational Focus
Physics Teaching Diploma (Detailed information on the programme at: )
- Spec. Courses in Resp. Subj. w/ Educ. Focus & Further Subj. Didactics (Core courses that counted towards the Bachelor or Master programme in physics or comprised additional admission requirements in subject didactics are not eligible for the teaching diploma.)
- Compulsory Elective Courses (Further course offerings from the category Educational Science are listed under "Programme: Educational Science for Teaching Diploma and TC".)