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

Zuordnung zu Studiengängen, Validierung, Einpassung in die Musterstudienpläne:

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:einblenden

1. 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)
2. 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)
3. 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)
4. 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)
5. 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)
6. 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)
7. 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)
8. 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.