402-0825-00L  Introduction to Machine Learning for the Sciences

SemesterHerbstsemester 2020
DozierendeT. Neupert, M. H. Fischer
Periodizitäteinmalige Veranstaltung
LehrspracheEnglisch
KommentarFachstudierende UZH müssen das Modul PHY371 direkt an der UZH buchen.



Lehrveranstaltungen

NummerTitelUmfangDozierende
402-0825-00 VIntroduction to Machine Learning for the Sciences
**together with University of Zurich**
More information at: Link
2 Std.
Fr13:00-14:45UNI
T. Neupert, M. H. Fischer
402-0825-00 UIntroduction to Machine Learning for the Sciences
**together with University of Zurich**
Link
2 Std.
Fr15:00-17:00UNI
T. Neupert, M. H. Fischer

Katalogdaten

KurzbeschreibungThis course is an introduction to the basic concepts of machine learning, including supervised and unsupervised learning with neural networks, reinforcement learning, and methods to make the learned results interpretable. The material is presented with scientific research applications in mind, where data has often very peculiar structure and quantitative accuracy is paramount.
LernzielThe goal is to become familiar with basic machine learning techniques for scientific applications, through lectures and practical programming exercises.
InhaltMachine learning algorithms enjoy a large and increasing number of technological applications. They help us to extract relevant information from big datasets and transform the way we interact with machines. In the sciences, machine learning emerges as a more and more routinely used tool with applications in physics, geography, medicine, chemistry, biology and more. This course offers an introduction to the basic concepts, including supervised and unsupervised learning with neural networks, reinforcement learning, and methods to make the learned results interpretable. The material will be presented with scientific research applications in mind, where data has often very peculiar structure and quantitative accuracy is paramount. In the exercise class, examples will be implemented with openly available machine learning libraries.

The lecture an exercise class will be held at Y24-G-55 (Uni Zürich, Irchel Campus) and streamed as well as recorded. The recording of the lecture will be made available afterwards, but it is highly recommended to join the lecture or the live stream. Several seats outside of the field of view of the camera are available.

Lecture:
Friday 13.00-14.45, Y24-G-55 (Uni Zürich, Irchel Campus)

Exercises:
Friday 15.00-16.45, Y24-G-55 (Uni Zürich, Irchel Campus)
SkriptA skript will be made avialable
Voraussetzungen / BesonderesThe course is tailored to students of the sciences with interest in numerical methods and a solid knowledge of linear algebra and calculus.

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte5 KP
PrüfendeT. Neupert, M. H. Fischer
FormSessionsprüfung
PrüfungsspracheEnglisch
RepetitionDie Leistungskontrolle wird in jeder Session angeboten. Die Repetition ist ohne erneute Belegung der Lerneinheit möglich.
Prüfungsmodusmündlich 20 Minuten
Diese Angaben können noch zu Semesterbeginn aktualisiert werden; verbindlich sind die Angaben auf dem Prüfungsplan.

Lernmaterialien

Keine öffentlichen Lernmaterialien verfügbar.
Es werden nur die öffentlichen Lernmaterialien aufgeführt.

Gruppen

Keine Informationen zu Gruppen vorhanden.

Einschränkungen

Keine zusätzlichen Belegungseinschränkungen vorhanden.

Angeboten in

StudiengangBereichTyp
Physik MasterAllgemeine WahlfächerWInformation