Masterstudium mit Vertiefungsrichtung "Applied Mathematics"

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64 of 64 courses

Functional AnalysisFunctional Analysis (Übung) Übung0×15Do 10:30-12:001010|149
Functional Analysis Vorlesung×15Do 08:30-10:001010|149×15Fr 10:30-12:001010|149
Mathematical Foundations of Machine LearningMathematical Foundations of Machine Learning Vorlesung×14Di 10:30-12:00V (1010|213)×15Do 10:30-12:00R 5 (1080|005)
Mathematical Foundations of Machine Learning Übung0×15Do 12:30-14:00III (1010|107)
Mathematical Methods of Signal and Image Processing Mathematical Methods of Signal and Image Processing Vorlesung×15Mo 10:30-12:00klPhys (1090|334)×15Fr 10:30-12:00Phil (1070|113)
Mathematical Methods of Signal and Image Processing Übung0×1Mi 10:00-12:30Phil (1070|113)×13Mi 10:30-12:00Phil (1070|113)
Numerical Analysis IVNumerische Analysis IV Vorlesung8×14Mo 10:30-12:001010|149×12Mo 12:30-14:001010|149×15Do 16:30-18:001010|149
Numerische Analysis IV (Übung) Übung0×13Mo 14:30-16:00III (1010|107)
Optimization BOptimierung B Vorlesung9×15Mo 10:30-12:00H07 (1385|104)×4Mo 10:30-12:00SeMath (1950|008)×1Mi 10:00-12:00SeMath (1950|008)×15Fr 12:30-14:00HKW 2 (1132|303)×4Fr 12:30-14:00SeMath (1950|008)
Optimierung B Übung Übung0×14Fr 16:30-18:00H07 (1385|104)×1Fr 16:30-18:00IV (1010|141)
Optimization COptimierung C (Kontinuierliche Optimierung) Übung0×15Fr 08:30-10:00AS (1050|U101)
Optimierung C (Kontinuierliche Optimierung) Vorlesung/Übung×14Di 10:30-12:00AS (1050|U101)×14Mi 08:30-10:00AS (1050|U101)
Numerical methods for Stochastic Differential Equations with connections to Machine LearningNumerical methods for Stochastic Differential Equations with connections to Machine Learning Vorlesung×13Di 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×15Di 16:30-18:00IV (1010|141)×15Do 14:30-16:00IV (1010|141)
Mathematics of Data Science Übung×2DiskussionsstundenMo 14:30-16:00IV (1010|141)×14DiskussionsstundenMo 16:30-18:00III (1010|107)×14DiskussionsstundenMi 14:30-16:00IV (1010|141)×14DiskussionsstundenFr 10:30-12:00R 5 (1080|005)×2DiskussionsstundenFr 14:30-16:00IV (1010|141)×2StandardgruppeMo 14:30-16:00IV (1010|141)×14StandardgruppeMi 14:30-16:00IV (1010|141)×2StandardgruppeFr 14:30-16:00IV (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
Mathematische Modelle (PDEs)Mathematische Statistik Übung0×1Mo 12:30-14:00SG 512 (1810|512)×1Di 10:30-12:00SG 203 (1810|203)×11Mi 14:30-16:00SG 23 (1810|023)×1Fr 14:00-14:45SG 23 (1810|023)×1Fr 14:15-14:45SG 13 (1810|013)
Mathematische Grundlagen des Deep LearningMathematische Grundlagen des Deep Learning (Vorlesung) Vorlesung×13Mo 14:30-16:00SeMath (1950|008)×14Mi 08:30-10:00SeMath (1950|008)
Advanced Topics in Transport TheoryNon-Equilibrium Gas Dynamics with Moment Equations Vorlesung/Übung0×7Mi 12:30-14:001090|328×12Fr 10:30-12:001090|328
Grundlagen der ComputergraphikBasic Techniques in Computer Graphics Vorlesung6×13Di 12:30-14:00AH V (2356|050)×14Do 12:30-14:00AH V (2356|050)
Basic Techniques in Computer Graphics (in Bonn) Vorlesung×13Mo 13:00-15:15t.b.d.
Basic Techniques in Computer Graphics Übung0×13Mi 16:30-18:00AH V (2356|050)
Basic Techniques in Computer Graphics (in Bonn) Übung0×13Mo 15:45-17:15t.b.d.
Infinite Computations and GamesInfinite Computations and Games Vorlesung6×13Mo 10:30-12:005056 (2356|056)×1Do 14:00-15:00AH II (2350|111)×1Fr 11:00-12:00AH II (2350|111)
Infinite Computations and Games Übung0×12Mi 14:30-16:005052 (2356|052)
Algorithmische LerntheorieAlgorithmische Lerntheorie Vorlesung×10Mo 12:30-14:00AH III (2350|314.1)×10Di 08:30-10:00AH III (2350|314.1)
Algorithmische Lerntheorie (Übung) Übung0×1Do 08:00-09:00AH II (2350|111)×1Fr 10:00-11:00AH II (2350|111)×1Fr 14:30-16:005052 (2356|052)×8Fr 14:30-16:005056 (2356|056)×1Fr 14:30-16:00Seminarraum i7, Raum 4116 (2353|116)
KomplexitätstheorieKomplexitätstheorie Vorlesung6×15Do 12:30-14:00AH VI (2356|051)×1Fr 12:30-14:00AH I (2350|028)
Übung zur Vorlesung Komplexitätstheorie Übung0×13Fr 12:30-14:00AH I (2350|028)
Künstliche IntelligenzIntroduction to Artificial Intelligence Vorlesung/Übung6×11Mi 08:30-10:00AH V (2356|050)×10Do 10:30-12:00AH V (2356|050)×10Fr 08:30-10:00AH V (2356|050)
Designing Interactive Systems IDesigning Interactive Systems I Vorlesung/Übung6×13Di 08:30-10:00Großer B-IT Raum (2356|053.2)×14Mi 09:30-12:00Großer B-IT Raum (2356|053.2)
Designing Interactive Systems I (in Bonn) Vorlesung/Übung6×12Di 13:00-15:30Extern×13Di 15:45-17:15Extern
High-Performance ComputingEinführung in High-Performance Computing Vorlesung/Übung×1Mo 09:00-12:00ZuseLab C3 (2315|211)×8Mo 12:30-14:00AH VI (2356|051)×12Di 10:30-12:00PPS H1 (2315|101)
Implementation of DatabasesImplementation of Databases Vorlesung/Übung6×12Mo 08:30-10:00AH VI (2356|051)×2Mo 08:30-10:00BS I (2131|101)×15Fr 08:30-10:00AH I (2350|028)
Software-ArchitekturenSoftware-Architekturen Vorlesung6×1Mo 09:30-11:305052 (2356|052)×1Mo 09:30-11:30AH VI (2356|051)×2Di 09:30-11:305052 (2356|052)×1Di 09:30-11:30AH VI (2356|051)×2Mi 09:30-11:305052 (2356|052)×1Do 09:30-11:305052 (2356|052)×1Fr 09:30-11:305052 (2356|052)
Machine LearningMachine Learning Vorlesung/Übung6×13Mo 18:30-20:00H02 (1385|102)×14Mi 16:30-18:00H02 (1385|102)
Algorithmische KryptographieAlgorithmische Kryptographie Vorlesung0×1Di 10:30-12:00Seminarraum i1, Raum 4017 (2353|017)×5Mi 10:30-12:00Seminarraum i1, Raum 4017 (2353|017)×5Do 10:30-12:00Seminarraum i1, Raum 4017 (2353|017)
Finite Elements in FluidsFinite Elemente in Fluiddynamik Selbstrechenübung Übung×14Di 09:30-10:15E1 (1090|301)
Finite Elemente in Fluiddynamik Vorlesung×14Di 10:30-12:00E1 (1090|301)
Seminar: Current Topics in Numerical Analysis II Seminar "Aktuelle Themen der Numerik II" Seminar5
Seminar: Compressive SensingSeminar: Compressive Sensing Seminar5×15Do 14:30-16:001952|208
Seminar: Mathematics for Uncertainty QuantificationMathematik der Uncertainty Quantification Seminar5×12Di 12:30-14:00Online-Veranstaltung
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) Übung0×15Do 10:30-12:001010|149
Functional Analysis Vorlesung×15Do 08:30-10:001010|149×15Fr 10:30-12:001010|149
Mathematical Foundations of Machine LearningMathematical Foundations of Machine Learning Vorlesung×14Di 10:30-12:00V (1010|213)×15Do 10:30-12:00R 5 (1080|005)
Mathematical Foundations of Machine Learning Übung0×15Do 12:30-14:00III (1010|107)
Mathematical Methods of Signal and Image Processing Mathematical Methods of Signal and Image Processing Vorlesung×15Mo 10:30-12:00klPhys (1090|334)×15Fr 10:30-12:00Phil (1070|113)
Mathematical Methods of Signal and Image Processing Übung0×1Mi 10:00-12:30Phil (1070|113)×13Mi 10:30-12:00Phil (1070|113)
Numerical Analysis IVNumerische Analysis IV Vorlesung8×14Mo 10:30-12:001010|149×12Mo 12:30-14:001010|149×15Do 16:30-18:001010|149
Numerische Analysis IV (Übung) Übung0×13Mo 14:30-16:00III (1010|107)
Optimization BOptimierung B Vorlesung9×15Mo 10:30-12:00H07 (1385|104)×4Mo 10:30-12:00SeMath (1950|008)×1Mi 10:00-12:00SeMath (1950|008)×15Fr 12:30-14:00HKW 2 (1132|303)×4Fr 12:30-14:00SeMath (1950|008)
Optimierung B Übung Übung0×14Fr 16:30-18:00H07 (1385|104)×1Fr 16:30-18:00IV (1010|141)
Optimization COptimierung C (Kontinuierliche Optimierung) Übung0×15Fr 08:30-10:00AS (1050|U101)
Optimierung C (Kontinuierliche Optimierung) Vorlesung/Übung×14Di 10:30-12:00AS (1050|U101)×14Mi 08:30-10:00AS (1050|U101)
Mathematics of Data Science Mathematics of Data Science Vorlesung×15Di 16:30-18:00IV (1010|141)×15Do 14:30-16:00IV (1010|141)
Mathematics of Data Science Übung×2DiskussionsstundenMo 14:30-16:00IV (1010|141)×14DiskussionsstundenMo 16:30-18:00III (1010|107)×14DiskussionsstundenMi 14:30-16:00IV (1010|141)×14DiskussionsstundenFr 10:30-12:00R 5 (1080|005)×2DiskussionsstundenFr 14:30-16:00IV (1010|141)×2StandardgruppeMo 14:30-16:00IV (1010|141)×14StandardgruppeMi 14:30-16:00IV (1010|141)×2StandardgruppeFr 14:30-16:00IV (1010|141)
Numerical methods for Stochastic Differential Equations with connections to Machine LearningNumerical methods for Stochastic Differential Equations with connections to Machine Learning Vorlesung×13Di 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
Mathematische Grundlagen des Deep LearningMathematische Grundlagen des Deep Learning (Vorlesung) Vorlesung×13Mo 14:30-16:00SeMath (1950|008)×14Mi 08:30-10:00SeMath (1950|008)
Advanced Topics in Transport TheoryNon-Equilibrium Gas Dynamics with Moment Equations Vorlesung/Übung0×7Mi 12:30-14:001090|328×12Fr 10:30-12:001090|328