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Machine Learning in Communications (MLC)5 ECTS (englische Bezeichnung: Machine Learning in Communications)
(Prüfungsordnungsmodul: Machine Learning in Communications)
Modulverantwortliche/r: Laura Cottatellucci Lehrende:
Laura Cottatellucci
weitere Studienfächer/Prüfungsordnungsmodule:
Einfrieren der UnivIS-Modul-Beschreibung: 31.10.2019
Wahlmodulbereich aus der FAU (81069)
Wahlmodule aus dem Angebot der FAU (87863)
Start semester: |
WS 2019/2020 | Duration: |
1 semester | Cycle: |
jährlich (WS) |
Präsenzzeit: |
60 Std. | Eigenstudium: |
90 Std. | Language: |
Englisch |
Lectures:
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Machine Learning in Communications
(Vorlesung, 3 SWS, Laura Cottatellucci, Tue, 16:15 - 17:45, 05.025; every 2. week Thu, 10:15 - 11:45, 05.025)
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Tutorial for Machine Learning in Communications
(Übung, 1 SWS, Nikita Shanin, every 2. week Thu, 10:15 - 11:45, 05.025; single appointment on 3.12.2019, 16:15 - 17:45, 01.018; single appointment on 5.12.2019, 10:15 - 11:45, 01.018; starting 24.10.2019)
Inhalt:
Recently, in many areas of wireless communications such as wireless sensor networks (WSNs), heterogeneous networks and complex ad hoc networks, distributed graph algorithms and machine learning on graphs are gaining relevance as fundamental tools in network analysis and information processing.
This motivates to deliver a general introduction to fundamentals of machine learning such as detection of clusters on graphs. The introduction is followed by the application of machine learning to the design of physical and data layer techniques in wireless communications and in the optimization of mobile networks.
Lernziele und Kompetenzen:
The students
know and explain the fundamentals of machine learning with special attention to machine learning over graphs.
apply these principles in the design and optimisation of wireless communications systems and mobile networks.
Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
- Communications and Multimedia Engineering (Master of Science)
(Po-Vers. 2011 | TechFak | Communications and Multimedia Engineering (Master of Science) | Gesamtkonto | Wahlmodule | Technische Wahlmodule | Machine Learning in Communications)
Dieses Modul ist daneben auch in den Studienfächern "Advanced Signal Processing & Communications Engineering (Master of Science)", "Information and Communication Technology (Master of Science)", "Informations- und Kommunikationstechnik (Master of Science)" verwendbar. Details
Studien-/Prüfungsleistungen:
Machine Learning in Communications (Prüfungsnummer: 668129)
(englischer Titel: Machine Learning in Communications)
zugeh. "mein campus"-Prüfung: | - 668129 Machine Learning in Communications (Gewichtung: 100.0 %, Prüfung, Form: mündliche Prüfung, Drittelnoten (mit 4,3), Dauer: -, 5 ECTS, Prüfung).
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- Prüfungsleistung, mündliche Prüfung, Dauer (in Minuten): 30, benotet, 5.0 ECTS
- Anteil an der Berechnung der Modulnote: 100.0 %
- Prüfungssprache: Englisch
- Erstablegung: WS 2019/2020, 1. Wdh.: SS 2020
1. Prüfer: | Laura Cottatellucci (100463) |
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