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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:
- Katharina Breininger, Sulaiman Vesal, Florian Thamm, Felix Denzinger, Hendrik Schröter
- 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 INF-MA ab 1
- Keywords:
- deep learning; machine learning
| | | Mon | 12:00 - 14:00 | 0.01-142 CIP | |
Breininger, K. Vesal, S. Schröter, H. | |
| | Tue | 18:00 - 20:00 | 0.01-142 CIP | |
Breininger, K. Vesal, S. Schröter, H. | |
| | Wed | 16:00 - 18:00 | 0.01-142 CIP | |
Breininger, K. Vesal, S. Schröter, H. | |
| | Thu | 14:00 - 16:00 | 0.01-142 CIP | |
Breininger, K. Vesal, S. Schröter, H. | |
| | Fri | 8:00 - 10:00 | 0.01-142 CIP | |
Breininger, K. Vesal, S. Schröter, H. | |
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Engineering of Solid State Lasers [ENGSSL] -
- Lecturers:
- Martin Hohmann, Christoph Pflaum, Kristian Cvecek, Tobias Staudt
- Details:
- Vorlesung, 2 cred.h, graded certificate, ECTS: 2,5, Weitere Infos / Further Informations in "Organisatorisches"
- Dates:
- Wed, 14:15 - 15:45, SR LPT 02.030
- Fields of study:
- WPF IP-BA 5-6
WPF MB-MA-IP 2
- Prerequisites / Organisational information:
- Ob der derzeitigen Situation wird diese Vorlesung vorerst in digitaler Form stattfinden - als Zoom-Webinar zum regulären Vorlesungszeitpunkt. Weitere Infos über den Fortgang finden Sie in der entsprechenden StudOn-Gruppe. Den Link zur StudOn-Gruppe finden Sie weiter unten.
Due to the current situation, this lecture will be tought in a digital manner for the time being - as a Zoom webinar at the scheduled time of the lecture. We will post further information on that in the corresponding StudOn group. The link to the StudOn group can be found in the following.
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Leuchtstoffe / Phosphors -
- Lecturers:
- Miroslaw Batentschuk, Albrecht Winnacker
- Details:
- Vorlesung, 2 cred.h, graded certificate, ECTS: 3, nur Fachstudium, VL findet über ZOOM statt. Zugangsdaten werden im studOn jede Woche hochgeladen.Anmeldung im StudOn ist erforderlich.
- Dates:
- Mon, 14:15 - 15:45, room tbd
Vorbesprechung per live-ZOOM-Übertragung. Für alle VL, Seminare, Praktika etc. Findet als live-ZOOM-Übertragung statt. Registrieren Sie sich bitte für das entsprechnde Datum und die Uhrzeit: https://fau.zoom.us/meeting/register/tJUpce2trD0rGNzOM9GyJCKXI8iU5vxIUPFN . Nach der Registrierung erhalten Sie eine Bestätigungs-E-Mail mit Informationen über die Teilnahme am Meeting.
starting 11.5.2020
Preliminary meeting: Tuesday, 21.4.2020, 14:00 - 15:00 Uhr
- Fields of study:
- PF MWT-MA-WET 2
WPF MWT-MA-WET 2
WPF NT-MA 2
WPF AOT-GL 2
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Light Scattering: Lecture [OM/LS] -
- Lecturers:
- Andreas Paul Fröba, Michael Rausch
- Details:
- Vorlesung, 2 cred.h, ECTS: 5, This lecture and the corresponding exercise are 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 20, 2020 at 18:15. For attending the lectures and the corresponding exercises, registration for the StudOn-course "Light Scattering" until April 19, 2020 at 12:00 a.m. is mandatory (https://www.studon.fau.de/crs2182923-join.html).
- Dates:
- Mon, 18:15 - 19:45, AOT-Kursraum
First lecture is on Monday, April 20, 2020 at 18:15.
starting 23.4.2020
- 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:
- Wed, 17:00 - 19:00, 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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Pattern Analysis [PA] -
- Lecturer:
- Christian Riess
- Details:
- Vorlesung, 3 cred.h, graded certificate, ECTS: 3,75, 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
- Dates:
- Wed, 14:15 - 15:45, H16
Thu, 16:15 - 17:45, H16
- Fields of study:
- PF MT-MA-BDV 1-4
WPF IuK-MA-MMS-INF 1-4
WPF ICT-MA-MPS 1-4
WPF CME-MA 1-4
WF CME-MA 1-4
WPF INF-MA 1-4
WPF CE-MA-INF ab 1
WF ASC-MA 1-4
- Prerequisites / Organisational information:
- Please join the class "Pattern Analysis" in studOn. All lecture material will be linked and made available there.
It is recommended (but not mandatory) that participants attend the lecture Pattern Recognition first.
- Keywords:
- pattern recognition, pattern analysis
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Seminar on Solar Energy [SolSem] -
- Lecturers:
- Christoph J. Brabec, Jens Hauch
- Details:
- Seminar, 2 cred.h, graded certificate, ECTS: 2, nur Fachstudium, findet aus aktuellem Anlass mittels Zoom-Live-Übertragung statt. Anmeldung im StudOn ist erforderlich. Zugangsdaten zu ZOOM werden über StudOn mitgeteilt, auch für die Vorbesprechung.
- Dates:
- erster Termin 28.04.2020, 15:00 Uhr
Preliminary meeting: Tuesday, 21.4.2020, 14:00 - 15:00 Uhr
- Fields of study:
- WF CE-BA-SEM ab 5
WF ET-BA ab 5
PF AOT-GL 1
WF AOT-GL ab 1
WF ET-MA-MWT ab 1
WF CE-MA-SEM ab 1
WF INF-MA ab 1
WF MWT-MA-WET ab 1
WF NT-MA ab 1
- Keywords:
- Solar Energy Seminar
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