Masterstudium mit Vertiefungsrichtung "Applied Mathematics"

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56 of 56 courses

Functional AnalysisFunctional Analysis (Übung) Übung0×15Mi 08:30-10:001010|149
Functional Analysis Vorlesung×15Do 08:30-10:001010|149×16Fr 10:30-12:001010|149×1Fr 14:30-16:001010|149
Numerical Analysis IVNumerische Analysis IV Vorlesung8×15Mo 14:30-16:00klPhys (1090|334)×15Fr 12:30-14:00V (1010|213)
Numerische Analysis IV (Übung) Übung0×15Do 18:30-20:00III (1010|107)
Optimization BOptimierung B Vorlesung9×1Mo 12:30-14:00AH III (2350|314.1)×14Mo 12:30-14:00H07 (1385|104)×1Di 10:30-12:00H09 (1385|220)×13Di 12:30-14:00H07 (1385|104)
Optimierung B Übung Übung0×2Di 09:30-12:30AH VI (2356|051)×7Di 10:30-12:00H09 (1385|220)
Finite Element and Volume Methods IIFinite Volumen und Finite Elemente Verfahren II (Übung) Übung0
Finite Volumen und Finite Elemente Verfahren II Vorlesung×14Di 08:30-10:001010|149
Optimization COptimierung C (Kontinuierliche Optimierung) Übung0×17Mi 16:30-18:001010|149
Optimierung C (Kontinuierliche Optimierung) Vorlesung/Übung×15Mo 10:30-12:001010|149×14Di 12:30-14:001010|149
Numerical methods for Stochastic Differential Equations with connections to Machine LearningNumerical methods for Stochastic Differential Equations with connections to Machine Learning Vorlesung×12Di 08:30-10:00Online-Veranstaltung×12Mi 10:30-12:00Online-Veranstaltung×13Do 10:30-12:00Online-Veranstaltung
Numerical methods for Stochastic Differential Equations with connections to Machine Learning Übung0×13Fr 10:30-12:00Online-Veranstaltung
Mathematics of Data Science Mathematics of Data Science Vorlesung×15Mo 14:30-16:00IV (1010|141)×15Mi 08:30-10:00III (1010|107)
Mathematics of Data Science Übung×14DiskussionsstundenDi 14:30-16:00IV (1010|141)×1DiskussionsstundenMi 08:30-10:00IV (1010|141)×10DiskussionsstundenDo 16:30-18:00S01 (1385|201)×10DiskussionsstundenFr 12:30-14:00S04 (1385|204)×14StandardgruppeDi 14:30-16:00IV (1010|141)×1StandardgruppeMi 08:30-10:00IV (1010|141)
Seminar: Uncertainty Quantification, Partial Differential Equations, and Neural NetworksUncertainty Quantification, Partial Differential Equations, and Neural Networks Seminar5×12Mi 12:30-14:00Online-Veranstaltung
Mathematical Foundations of Reinforcement LearningMathematical Foundations of Reinforcement Learning Übung0×10Di 13:30-15:00SeMath (1950|008)
Mathematical Foundations of Reinforcement Learning Vorlesung×11Di 10:30-12:00SeMath (1950|008)×11Mi 10:30-12:00SeMath (1950|008)
Grundlagen der ComputergraphikBasic Techniques in Computer Graphics Vorlesung6×9Di 10:30-12:00AH V (2356|050)×2Do 10:30-12:00AH III (2350|314.1)×9Do 10:30-12:00AH V (2356|050)
Basic Techniques in Computer Graphics Übung0×12Di 12:30-14:00AH I (2350|028)
Infinite Computations and GamesInfinite Computations and Games Vorlesung6×12Do 12:30-14:00AH II (2350|111)
Infinite Computations and Games Übung0×14Di 16:30-18:005055 (2356|055)
Effiziente AlgorithmenEffiziente Algorithmen Vorlesung6×10Di 14:30-16:00AH V (2356|050)×8Do 12:30-14:00AH V (2356|050)
Effiziente Algorithmen - Übung Tutorium0×15Gruppe 1Mi 14:30-16:005052 (2356|052)×14Gruppe 2Di 12:30-14:005054 (2356|054)×13Gruppe 3Mi 12:30-14:00Seminarraum i1, Raum 4017 (2353|017)×1Gruppe 3Mi 14:30-16:00Seminarraum i1, Raum 4017 (2353|017)×14Gruppe 4Do 10:30-12:00Seminarraum i1, Raum 4017 (2353|017)×13Gruppe 5Fr 10:30-12:00Seminarraum i1, Raum 4017 (2353|017)×14HiwibesprechungMo 14:30-16:00Seminarraum i1, Raum 4017 (2353|017)
CompilerbauCompilerbau Vorlesung6×10Mo 14:30-16:00AachenMünchener Halle (Aula) (1010|131)×2Mo 15:00-16:30AH VI (2356|051)×1Fr 11:00-13:00AH V (2356|050)×11Fr 12:30-14:00Roter Hörsaal AM (Ro) (1420|002)
Compilerbau Übung0×10Mi 14:30-16:00AH II (2350|111)
Künstliche IntelligenzIntroduction to Artificial Intelligence Vorlesung/Übung6×13Di 08:30-10:00Grüner Hörsaal AM (Gr) (1420|001)×10Do 10:30-12:00Grüner Hörsaal AM (Gr) (1420|001)×8Fr 08:30-10:00Grüner Hörsaal AM (Gr) (1420|001)
Designing Interactive Systems IDesigning Interactive Systems I Vorlesung/Übung6×13Di 08:30-10:00Großer B-IT Raum (2356|053.2)×1Di 12:30-14:30AH II (2350|111)×13Mi 09:30-12:00Großer B-IT Raum (2356|053.2)×1Mi 09:30-12:00H06 (1385|004)
Designing Interactive Systems I (in Bonn) Vorlesung/Übung6×12Di 13:00-15:30Extern×12Di 15:45-17:15Extern
High-Performance ComputingEinführung in High-Perfomance Computing Vorlesung/Übung×12Mo 12:30-14:00Knorr-Bremse-Hörsaal (H04) (1385|103)×1Mo 12:30-14:00Online-Veranstaltung×6Di 10:30-12:00AH IV (2354|030)
GraphalgorithmenAlgorithmische Graphentheorie Vorlesung×9Di 14:30-16:00AH III (2350|314.1)×11Mi 14:30-16:00AH V (2356|050)×1Do 11:00-12:005054 (2356|054)
Algorithmische Graphentheorie - Übung Tutorium0×11Gruppe 1Di 16:30-18:005056 (2356|056)×11Gruppe 2Mi 16:30-18:00Seminarraum i1, Raum 4017 (2353|017)×11Gruppe 3Do 12:30-14:005056 (2356|056)
Implementation of DatabasesImplementation of Databases Vorlesung/Übung6×14Mo 08:30-10:00AH IV (2354|030)×14Fr 14:30-16:00AH I (2350|028)
Software-ArchitekturenSoftware-Architekturen Vorlesung6×1Mo 09:00-15:305052 (2356|052)×1Di 09:00-15:305052 (2356|052)×2Mi 09:00-15:305052 (2356|052)×1Mi 09:00-15:30AH I (2350|028)×1Mi 12:45-18:00Fakultätsseminarraum (2359|U112)×2Do 09:00-15:305052 (2356|052)×1Do 09:00-15:30AH I (2350|028)×2Fr 09:00-15:305052 (2356|052)
Machine LearningMachine Learning Vorlesung/Übung6×13Mo 16:30-18:00H02 (1385|102)×1Mo 16:30-18:00Online-Veranstaltung×14Do 14:30-16:00H02 (1385|102)
Finite Elements in FluidsFinite Elemente in Fluiddynamik Selbstrechenübung Übung×11Di 13:30-14:15klPhys (1090|334)
Finite Elemente in Fluiddynamik Vorlesung×15Mo 12:30-14:00E1 (1090|301)
Seminar: Current Topics in Numerical Analysis II Seminar "Aktuelle Themen der Numerik II" Seminar5×1Mo 10:00-11:301010|149
Seminar: Mathematics for Uncertainty QuantificationMathematik der Uncertainty Quantification Seminar5×12Di 12:30-14:00Online-Veranstaltung
Seminar on Graph Theory IISeminar Graphentheorie II Seminar5
Seminar: Data Science under UncertaintyData Science under Uncertainty Seminar5×13Do 12:30-14:00Online-Veranstaltung
Seminar: Uncertainty Quantification, Partial Differential Equations, and Neural NetworksUncertainty Quantification, Partial Differential Equations, and Neural Networks Seminar5×12Mi 12:30-14:00Online-Veranstaltung
Functional AnalysisFunctional Analysis (Übung) Übung0×15Mi 08:30-10:001010|149
Functional Analysis Vorlesung×15Do 08:30-10:001010|149×16Fr 10:30-12:001010|149×1Fr 14:30-16:001010|149
Numerical Analysis IVNumerische Analysis IV Vorlesung8×15Mo 14:30-16:00klPhys (1090|334)×15Fr 12:30-14:00V (1010|213)
Numerische Analysis IV (Übung) Übung0×15Do 18:30-20:00III (1010|107)
Optimization BOptimierung B Vorlesung9×1Mo 12:30-14:00AH III (2350|314.1)×14Mo 12:30-14:00H07 (1385|104)×1Di 10:30-12:00H09 (1385|220)×13Di 12:30-14:00H07 (1385|104)
Optimierung B Übung Übung0×2Di 09:30-12:30AH VI (2356|051)×7Di 10:30-12:00H09 (1385|220)
Finite Element and Volume Methods IIFinite Volumen und Finite Elemente Verfahren II (Übung) Übung0
Finite Volumen und Finite Elemente Verfahren II Vorlesung×14Di 08:30-10:001010|149
Optimization COptimierung C (Kontinuierliche Optimierung) Übung0×17Mi 16:30-18:001010|149
Optimierung C (Kontinuierliche Optimierung) Vorlesung/Übung×15Mo 10:30-12:001010|149×14Di 12:30-14:001010|149
Mathematics of Data Science Mathematics of Data Science Vorlesung×15Mo 14:30-16:00IV (1010|141)×15Mi 08:30-10:00III (1010|107)
Mathematics of Data Science Übung×14DiskussionsstundenDi 14:30-16:00IV (1010|141)×1DiskussionsstundenMi 08:30-10:00IV (1010|141)×10DiskussionsstundenDo 16:30-18:00S01 (1385|201)×10DiskussionsstundenFr 12:30-14:00S04 (1385|204)×14StandardgruppeDi 14:30-16:00IV (1010|141)×1StandardgruppeMi 08:30-10:00IV (1010|141)
Numerical methods for Stochastic Differential Equations with connections to Machine LearningNumerical methods for Stochastic Differential Equations with connections to Machine Learning Vorlesung×12Di 08:30-10:00Online-Veranstaltung×12Mi 10:30-12:00Online-Veranstaltung×13Do 10:30-12:00Online-Veranstaltung
Numerical methods for Stochastic Differential Equations with connections to Machine Learning Übung0×13Fr 10:30-12:00Online-Veranstaltung
Seminar: Uncertainty Quantification, Partial Differential Equations, and Neural NetworksUncertainty Quantification, Partial Differential Equations, and Neural Networks Seminar5×12Mi 12:30-14:00Online-Veranstaltung