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227-0085-39L 3 Credits BSC D-ITET

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Projects & Seminars: Python for Science & Machine Learning

Projekte & Seminare: Python for Science & Machine Learning

Lecturers & Examiners: PD Dr. Michele Magno

Only for Electrical Engineering and Information Technology BSc. Course can only be registered for once. A repeatedly registration in a later semester is not chargeable.

VVZ CR n/a

Last Updated: 2026-02-05 16:07:21

Abstract

The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.

Objective

This beginner course to programming with Python - with a focus on applications in science and technology - is an ideal starting point for later courses. We will start with an introduction to the dev environment and tools for effective development to get you started. Then we will learn the basics of Python with exercises, and discover popular modules for data processing and visualisation that will be useful for your later studies and career. We conclude with an introduction to popular machine learning techniques and some time for you to implement your own small free-style projects. By the end of the semester, you will - be familiar with your PC’s command-line interface and know how to use available dev environments effectively. - have learned the basics of Python and be able to write basic programs that do what you want (most of the time) with the help of modules. - be able to process, visualize and analyze numerical data, e.g. lab measurements, images, etc. - have first experience with machine learning techniques - maintain your first git repository and know how to collaborate with others on coding projects. Language: English / German (if necessary)

General Information

Language: English
Levels: BSC
Frequency: Semesterly recurring

Examination

Type: ungraded semester performance

Registration & Places

Signup Start: 18.02.2022
Signup End: 04.03.2022

Course Components

Type	Title	Time & Place	Hours
practical/laboratory course	Projekte & Seminare: Python for Science & Machine Learning Für den Zugang zum Angebot und zur Einschreibung loggen Sie sich hier ein (mit Ihrem n.ETHZ account): Bitte beachten Sie, dass die Seite jeweils erst zwei Wochen vor Semesterbeginn zugänglich ist und im Verlauf des Semesters wieder abgeschaltet wird. Die Einschreibung ist nur von Freitag vor Semesterbeginn bis zum ersten Freitagmittag im Semester möglich. To access the offer and to enroll for courses log in (with your n.ethz account): Please note that the P&S-site is accessible no earlier than two weeks before the start of the semester until four weeks after the start of the semester. Enrollment is only possible from Friday before the start of the semester until noon of the first Friday in the semester.	Wed 13:15-16:00 (ETZ D 61.1)	3 h weekly

Offered In

Electrical Engineering and Information Technology Bachelor
- Laboratory Courses, Projects, Seminars (A minimum of 15 cp (under the 2018 regulations), respectively at least 18 cp (under the 2016 regulations) must be achieved in the category "Laboratory Courses, Projects, Seminars".)
  - Projects & Seminars (Enrolment is only possible for students in the BSc Electrical Engineering and Information Technology from Friday before the start of the semester. Places are allocated using the P&S application tool ( ). Please only enrol for P&S for which you apply via the tool.)