Stud.IP Uni Oldenburg
University of Oldenburg
06.02.2023 20:29:55
phy730 - Machine Learning
Institute of Physics 6 KP
Module components Semester courses Sommersemester 2023 Examination
Lecture
Exercises
Hinweise zum Modul
Prerequisites
Basic knowledge in higher Mathematics as taught as part of first degrees in Physics, Mathematics, Statistics, Engineering or Computer Science (basic linear algebra and analysis). Basic programming skills (course supports matlab & python). Many relations to statistical physics, statistics, probability theory, stochastic but the course's content will be developed independently of detailed prior knowledge in these fields.
Module examination
Klausur (max 180 Min.) oder mündliche Prüfung (30 Min.)
Skills to be acquired in this module
The students will acquire advanced knowledge about mathematical models of data and ensory signals, and they will learn how such models can be used to derive algorithms for data and signal processing. They will learn the typical scientific challenges associated with algorithms for unsupervised knowledge extraction including, clustering, dimensionality reduction, compression and signal enhancements. Typical examples will include applications to computer vision and computer hearing. Furthermore, the students will learn modern interpretations of neural learning and neural perception based on probabilistic data models.

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