UnivIS
Information system of Friedrich-Alexander-University Erlangen-Nuremberg © Config eG 
FAU Logo
  Collection/class schedule    module collection Home  |  Legal Matters  |  Contact  |  Help    
search:      semester:   
 
 Layout
 
printable version

 
 
 Also in UnivIS
 
course list

lecture directory

 
 
events calendar

job offers

furniture and equipment offers

 
 
Physics (Master of Science) >>

  Machine Learning for Physicists

Lecturer
Prof. Dr. Florian Marquardt

Details
Vorlesung
2 cred.h, ECTS studies, ECTS credits: 5
nur Fachstudium, Sprache Englisch
Time and place: single appointment on 24.4.2019, single appointment on 6.5.2019, single appointment on 13.5.2019, single appointment on 15.5.2019, single appointment on 27.5.2019, single appointment on 3.6.2019, single appointment on 5.6.2019, single appointment on 17.6.2019, single appointment on 19.6.2019, single appointment on 1.7.2019, single appointment on 3.7.2019 18:00 - 20:00, HG; single appointment on 12.7.2019 17:00 - 19:00, HG; comments on time and place: Klausureinsicht am 26.09.2019, 15-17 Uhr, sowie am 30.09.2019, 10-12 Uhr, am Max-Planck-Institut, Staudtstr. 2

Fields of study
WF Ph-BA ab 5 (ECTS-Credits: 5)
WF Ph-MA ab 1 (ECTS-Credits: 5)
WF PhM-BA ab 5 (ECTS-Credits: 5)
WF PhM-MA ab 1 (ECTS-Credits: 5)

Prerequisites / Organisational information
This is a course introducing modern techniques of machine learning, especially deep neural networks, to an audience of physicists. Neural networks can be trained to perform diverse challenging tasks, including image recognition and natural language processing, just by training them on many examples. Neural networks have recently achieved spectacular successes, with their performance often surpassing humans. They are now also being considered more and more for applications in physics, ranging from predictions of material properties to analyzing phase transitions. We will cover the basics of neural networks, convolutional networks, autoencoders, restricted Boltzmann machines, and recurrent neural networks, as well as the recently emerging applications in physics. Prerequisites: almost none, except for matrix multiplication and the chain rule.

ECTS information:
Credits: 5

Additional information

Assigned lectures
UE: Machine Learning for Physicists (UE)
Lecturers: Prof. Dr. Florian Marquardt, Assistenten
Time and place: single appointment on 29.4.2019, single appointment on 22.5.2019, single appointment on 12.6.2019, single appointment on 26.6.2019 18:00 - 20:00, HG; single appointment on 10.7.2019 18:00 - 20:00, HA; single appointment on 17.7.2019, single appointment on 24.7.2019 18:00 - 20:00, HG

Verwendung in folgenden UnivIS-Modulen
Startsemester SS 2019:
Machine Learning for Physicists (PW-ML)

Department: Lehrstuhl für Theoretische Physik (Prof. Dr. Marquardt)
UnivIS is a product of Config eG, Buckenhof