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Departments >> Faculty of Engineering >> Verwaltung und Serviceeinrichtungen Technische Fakultät >> MAOT - Master Programme in Advanced Optical Technologies (Elitestudiengang) >>
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Geschäftsstelle MAOT
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Deep Learning Exercises [DL E] -
- Lecturers:
- Florian Thamm, Zijin Yang, Noah Maul, Karthik Shetty
- Details:
- Übung, 2 cred.h, ECTS: 2,5, nur Fachstudium, This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. Information regarding the online teaching will be added to the studon course
- Fields of study:
- WPF ME-BA-MG6 4-6
WPF INF-MA ab 1
WPF ME-MA-MG6 1-3
WPF AI-MA ab 1
- Keywords:
- deep learning; machine learning
| | | | Mon | 12:00 - 14:00 | 0.01-142 CIP | |
Thamm, F. | |
| | | Tue | 18:00 - 20:00 | 0.01-142 CIP | |
Thamm, F. | |
| | | Wed | 16:00 - 18:00 | 0.01-142 CIP | |
Thamm, F. | |
| | | Thu | 14:00 - 16:00 | 0.01-142 CIP | |
Thamm, F. | |
| | | Fri | 8:00 - 10:00 | 0.01-142 CIP | |
Thamm, F. | |
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Light Scattering: Lecture [OM/LS] -
- Lecturers:
- Andreas Paul Fröba, Michael Rausch, und Mitarbeiter/innen
- Details:
- Vorlesung, 2 cred.h, ECTS: 5, This lecture course is offered online via ZOOM at the times stated in UnivIS as long as on-site attendence is not possible due to the Corona pandemic. First lecture is on Monday, April 12, 2021 at 06:15 p.m. For attending the lectures and exercises, registration for the StudOn-course "Light Scattering" until Friday, April 09, 2021 at 12:00 a.m. is mandatory (https://www.studon.fau.de/crs2182923.html). Registration will be open from April 01, 2021.
- Dates:
- Mon, 18:15 - 19:45, AOT-Kursraum
- Fields of study:
- WPF AOT-GL 2-3
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Machine Learning for Physicists -
- Lecturer:
- Florian Marquardt
- Details:
- Vorlesung, 2 cred.h, ECTS: 5, nur Fachstudium, die Vorlesung wird aufgrund der aktuellen Situation als "inverted classroom" angeboten, siehe zusätzliche Informationen - Due to the current situation, this lecture is moved to an "inverted classroom" format; see additional information; registration required: please follow zoom registration link on https://machine-learning-for-physicists.org
- Dates:
- Mon, 18:00 - 20:00, room tbd
- Fields of study:
- WF Ph-BA ab 5
WF Ph-MA ab 1
WF PhM-BA ab 5
WF PhM-MA ab 1
- 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.
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Lab Course in Thermophysical Properties of Working Materials in Process and Energy Engineering [TPE-PR] -
- Lecturers:
- Thomas Koller, Michael Rausch, Andreas Paul Fröba, Tobias Klein
- Details:
- Praktikum, 3 cred.h, certificate, ECTS: 2,5, The lab course is offered online via ZOOM. Registration is possible within the first lecture in "Vorlesung und Übung in Thermophysikalische Eigenschaften von Arbeitsstoffen der Verfahrens- und Energietechnik".
- Dates:
- Thu, 16:15 - 18:30, AOT-Kursraum
- Fields of study:
- WPF CBI-MA ab 1
WPF CEN-MA ab 1
WF LSE-MA ab 1
WPF ET-MA-VTE ab 1
- Prerequisites / Organisational information:
- Vorlesung und Übung in Thermophysikalische Eigenschaften von Arbeitsstoffen der Verfahrens- und Energietechnik
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Thermophysical Properties of Working Materials in Process and Energy Engineering [TPE] -
- Lecturers:
- Thomas Koller, Andreas Paul Fröba, Michael Rausch, Tobias Klein
- Details:
- Vorlesung mit Übung, 4 cred.h, ECTS: 5, The course is given online via ZOOM in English at the given times as long as on-site attendance is not possible due to the Corona pandemic. The first lecture will be on April 13, 2021 at 08:15 a.m. For attending the lecture, registration for the StudOn-course "Thermophysical Properties / Thermophysikalische Eigenschaften" until April 09, 2021 at 12:00 a.m. is mandatory (link: https://www.studon.fau.de/crs1525524.html). An optional lab course is offered in context with this lecture.
- Dates:
- Tue, Wed, 8:15 - 9:45, AOT-Kursraum
- Fields of study:
- WF AOT-GL ab 1
WPF CBI-MA ab 1
WPF CEN-MA ab 1
WF LSE-MA ab 1
WPF ET-MA-VTE ab 1
WF MAP-SOFT ab 1
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