Mathematical Methods for Learning and Ranking Large Data (Prüfungsordnungsmodul)10 ECTS (englische Bezeichnung: Mathematical Methods for Learning and Ranking Large Data)
Stand der importierten Daten ("mein campus"-Datenabzug): 18.10.2021 11:02
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POS-pordnr: | 117205 | Prüfungsnummer: | 65995 | Eigene Seite im Modulhandbuch: | nein |
Zuordnung zu Studiengängen, Validierung, Einpassung in die Musterstudienpläne:Computational and Applied Mathematics (Master of Science) (für Validierung verantwortlich) | Prüfungsordnungsversion 2017w: | | | | Prüfungsordnungsversion 2019w: | | | Wirtschaftsmathematik (Master of Science) | Prüfungsordnungsversion 2019w: | | |
Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
- Computational and Applied Mathematics (Master of Science)
(Po-Vers. 2017w | NatFak | Computational and Applied Mathematics (Master of Science) | Non-Specialisation modules | Mathematical Methods for Learning and Ranking Large Data)
- Computational and Applied Mathematics (Master of Science)
(Po-Vers. 2017w | NatFak | Computational and Applied Mathematics (Master of Science) | Specialisation: Modeling and applied analysis (MApA) and numerical analysis and simulation (NASi) | Mathematical Methods for Learning and Ranking Large Data)
- Computational and Applied Mathematics (Master of Science)
(Po-Vers. 2017w | NatFak | Computational and Applied Mathematics (Master of Science) | Specialisation: Numerical analysis and simulation (NASi) and optimization (Opti) | Mathematical Methods for Learning and Ranking Large Data)
- Computational and Applied Mathematics (Master of Science)
(Po-Vers. 2019w | NatFak | Computational and Applied Mathematics (Master of Science) | Gesamtkonto | Specialisation: Modeling and applied analysis (MApA) and numerical analysis and simulation (NASi) | Mathematical Methods for Learning and Ranking Large Data)
- Computational and Applied Mathematics (Master of Science)
(Po-Vers. 2019w | NatFak | Computational and Applied Mathematics (Master of Science) | Gesamtkonto | Specialisation: Numerical analysis and simulation (NASi) and optimization (Opti) | Mathematical Methods for Learning and Ranking Large Data)
- Computational and Applied Mathematics (Master of Science)
(Po-Vers. 2019w | NatFak | Computational and Applied Mathematics (Master of Science) | Gesamtkonto | Non-Specialisation modules | Mathematical Methods for Learning and Ranking Large Data)
- Wirtschaftsmathematik (Master of Science)
(Po-Vers. 2019w | NatFak | Wirtschaftsmathematik (Master of Science) | Gesamtkonto | Mathematische Wahlpflichtmodule | Specialisation: Modeling and applied analysis (MApA) and numerical analysis and simulation (NASi) | Mathematical Methods for Learning and Ranking Large Data)
- Wirtschaftsmathematik (Master of Science)
(Po-Vers. 2019w | NatFak | Wirtschaftsmathematik (Master of Science) | Gesamtkonto | Mathematische Wahlpflichtmodule | Specialisation: Numerical analysis and simulation (NASi) and optimization (Opti) | Mathematical Methods for Learning and Ranking Large Data)
Studien-/Prüfungsleistungen:
- Mathematical Methods for Learning and Ranking Large Data (Prüfungsnummer: 59951)
(englische Bezeichnung: Mathematical methods for learning and ranking large data)
- Prüfungsleistung, mündliche Prüfung, Drittelnoten (mit 4,3), 10 Leistungspunkte
- Anteil an der Berechnung der Modulnote: 100.0 %
- pordnr: 117207, pmaxver: 3, pmaxvbe: 1
UnivIS-Module:Diesem Prüfungsordnungsmodul wurden noch keine UnivIS-Module zugeordnet.
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