Masterstudium mit Vertiefungsrichtung "Applied Mathematics"

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71 of 71 courses

Nonlinear Optimization Optimierung A Vorlesung/Übung×12ExamDi 08:30-10:00III (1010|107)×15ExamDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12StandardgruppeDi 08:30-10:00III (1010|107)×15StandardgruppeDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12ÜbungDi 08:30-10:00III (1010|107)×15ÜbungDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12VorlesungDi 08:30-10:00III (1010|107)×15VorlesungDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)
Optimierung A Vorlesung/Übung0×12ExamDi 08:30-10:00III (1010|107)×15ExamDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12StandardgruppeDi 08:30-10:00III (1010|107)×15StandardgruppeDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12ÜbungDi 08:30-10:00III (1010|107)×15ÜbungDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12VorlesungDi 08:30-10:00III (1010|107)×15VorlesungDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)
High-dimensional Probability TheoryHigh-dimensional Probability for Mathematicians and Data Scientists Vorlesung×13Di 10:30-12:00R 5 (1080|005)×12Do 08:30-10:00III (1010|107)
High-dimensional Probability for Mathematicians and Data Scientists Übung0×14Di 08:30-10:00Fk 9 (1541|209)×12Do 12:30-14:00III (1010|107)×12Do 18:30-20:00SG 12 (1810|012)
Mathematical Aspects in Computational ChemistryMathematische Modelle der Natur- und Ingenieurwissenschaften (PDEs) Übung0×13Fr 12:30-14:001090|328
Mathematical Models in Science and EngineeringMathematische Modelle der Natur- und Ingenieurwissenschaften (PDEs) Vorlesung×13Di 10:30-12:001090|328×13Fr 12:30-14:001090|328
Mathematische Modelle der Natur- und Ingenieurwissenschaften (PDEs) Übung0×13Fr 12:30-14:001090|328
Integer Linear ProgrammingGanzzahlige Lineare Optimierung Vorlesung9×12Mo 14:30-16:00SeMath (1950|008)×12Mi 10:30-12:00SeMath (1950|008)×1Mi 10:30-12:00SG 203 (1810|203)
Ganzzahlige Lineare Optimierung Übung0×12Mo 16:30-18:00SeMath (1950|008)
Time Series AnalysisZeitreihenanalyse Vorlesung9×14Di 16:30-18:00H08 (1385|219)×13Mi 16:30-18:00AS (1050|U101)
Stochastic Numerics with Applications in Simulation and Data ScienceStochastische Numerik mit Anwendungen in Simulation und Data Science Vorlesung×14Di 08:30-10:00Online-Veranstaltung×14Mi 10:30-12:00Online-Veranstaltung×12Do 10:30-12:00Online-Veranstaltung
Stochastische Numerik mit Anwendungen in Simulation und Data Science Übung0×13Fr 10:30-12:00Online-Veranstaltung
Multiscale TechniquesMultiskalentechniken Vorlesung×14Mi 08:30-10:001010|149×12Do 08:30-10:001010|149
Multiskalentechniken (Übung) Übung0×14Di 08:30-10:001010|149
Numerical Multilinear AlgebraNumerische Multilineare Algebra Vorlesung9×12Mo 08:30-10:001010|149×14Mi 12:30-14:001010|149
Numerische Multilineare Algebra (Übung) Übung0×12Mo 10:30-12:001010|149×1Fr 08:15-10:001010|149
Numerical Methods for Random Partial Differential Equations: Hierarchical Approximation and Machine Learning ApproachesNumerical methods for random partial differential equations: hierarchical approximation and machine learning approaches Vorlesung×14Di 14:30-16:00Online-Veranstaltung×13Mi 14:30-16:00Online-Veranstaltung×12Do 14:30-16:00Online-Veranstaltung
Numerical methods for random partial differential equations: hierarchical approximation and machine learning approaches Tutorium×12Mo 16:00-17:30Online-Veranstaltung
Numerical methods for random partial differential equations: hierarchical approximation and machine learning approaches Übung0×13Fr 14:30-16:00Online-Veranstaltung
Exploratory Data Analysis Exploratory Data Analysis Vorlesung×13Di 08:30-10:00II (1010|201)×11Do 14:30-16:00I (1010|101)
Exploratory Data Analysis Übung×13Mi 16:30-18:00II (1010|201)
Mathematische Modelle (PDEs)Mathematische Modelle der Natur- und Ingenieurwissenschaften (PDEs) Vorlesung×13Di 10:30-12:001090|328×13Fr 12:30-14:001090|328
High-dimensional Probability for Mathematicians and Data ScientistsHigh-dimensional Probability for Mathematicians and Data Scientists Vorlesung×13Di 10:30-12:00R 5 (1080|005)×12Do 08:30-10:00III (1010|107)
High-dimensional Probability for Mathematicians and Data Scientists Übung×14Di 08:30-10:00Fk 9 (1541|209)×12Do 12:30-14:00III (1010|107)×12Do 18:30-20:00SG 12 (1810|012)
Eingebettete SystemeEinführung in eingebettete Systeme Vorlesung/Übung6×12Di 12:30-14:00AH III (2350|314.1)×10Do 12:30-14:00AH III (2350|314.1)
Embedded Systems (International Academy) Vorlesung/Übung×10Mo 14:30-16:00AH III (2350|314.1)×12Di 10:30-12:00AH II (2350|111)
WissensrepräsentationIntroduction to Knowledge Representation Vorlesung/Übung6
The Graph Isomorphism ProblemThe Graph Isomorphism Problem Vorlesung6×10Di 08:30-10:00AH II (2350|111)×9Do 14:30-16:00AH II (2350|111)
The Graph Isomorphism Problem (Übung) Übung0×10Fr 12:30-14:005054 (2356|054)
Model CheckingIntroduction to Model Checking Vorlesung6×1Mo 12:00-14:005055 (2356|055)×10Mo 16:30-18:00AH II (2350|111)×12Di 18:30-20:00AH III (2350|314.1)×1Do 09:50-15:005052 (2356|052)
Introduction to Model Checking Übung0×13Fr 12:30-14:00AH II (2350|111)
Software-ArchitekturenSoftware-Architekturen Übung0×7Di 16:30-18:005056 (2356|056)×1Di 16:30-18:00Fakultätssitzungssaal Informatik (2359|222)
GeometrieverarbeitungGeometrieverarbeitung Vorlesung6×12Di 10:30-12:00AH V (2356|050)×10Do 10:30-12:00AH V (2356|050)
Geometrieverarbeitung Übung0×13Fr 12:30-14:00AH III (2350|314.1)
Computer VisionComputer Vision Vorlesung/Übung6×11Mo 10:30-12:00AH IV (2354|030)×11Mo 14:30-16:00AH IV (2354|030)×10Do 14:30-16:00AH IV (2354|030)
Data-Driven Methods for 3D Shape AnalysisData driven Methods for 3D Shape Analysis Vorlesung×12Di 14:30-16:00AH V (2356|050)×10Do 14:30-16:00AH VI (2356|051)
Data driven Methods for 3D Shape Analysis Übung0×12Mi 16:30-18:00AH VI (2356|051)
Statistische Klassifikation und Maschinelles LernenStatistische Klassifikation und Maschinelles Lernen Vorlesung0×11Di 10:30-12:00I (1010|101)×12Mi 10:30-12:00PPS H2 (2315|001)
Statistische Klassifikation und Maschinelles Lernen Übung0×11Do 08:30-10:00I (1010|101)
Fixpoints and Induction in Logic and Computer ScienceFixpoints and Induction in Logic and Computer Science Übung0×10Do 12:30-14:005054 (2356|054)
Fixpoints and Induction in Logic and Computer Science Vorlesung×12Mi 10:30-12:005052 (2356|052)×6Do 10:30-12:005056 (2356|056)
GeothermicsGeothermics - Practicals and Exercises Übung×11Group 1 Mo 14:30-16:00GED/NUG 408, Lochnerstr. 4-20 (1540|408)×11Group 2 (@ EMR/REM (SS 23): Overlap with "Petroleum Geology & Geochemistry")Mo 08:30-10:00GED/NUG 408, Lochnerstr. 4-20 (1540|408)
Geothermics Vorlesung0×13Mi 08:30-10:00LIH 504, Lochnerstr. 4-20 (1540|504)
Seminar: Current Topics in Numerical Analysis I Seminar "Aktuelle Themen der Numerik I" Seminar5×1Do 10:30-12:001010|149
Seminar: Multilevel Monte CarloMultilevel Monte Carlo Seminar5×14Mi 12:30-14:00Online-Veranstaltung
Seminar: Mathematics for Uncertainty QuantificationMathematik der Uncertainty Quantification Seminar5×14Di 12:30-14:00Online-Veranstaltung
Seminar: Data Science under UncertaintyData Science under Uncertainty Seminar5×15Do 12:30-14:00Online-Veranstaltung×1Fr 12:30-14:00Online-Veranstaltung
Seminar on Mathematical LearningSeminar on Mathematical Learning (Mathematical aspects of Deep Learning) Seminar5×13Di 08:30-10:00SeMath (1950|008)×1Di 12:00-13:30SeMath (1950|008)
Nonlinear Optimization Optimierung A Vorlesung/Übung×12ExamDi 08:30-10:00III (1010|107)×15ExamDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12StandardgruppeDi 08:30-10:00III (1010|107)×15StandardgruppeDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12ÜbungDi 08:30-10:00III (1010|107)×15ÜbungDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12VorlesungDi 08:30-10:00III (1010|107)×15VorlesungDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)
Optimierung A Vorlesung/Übung0×12ExamDi 08:30-10:00III (1010|107)×15ExamDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12StandardgruppeDi 08:30-10:00III (1010|107)×15StandardgruppeDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12ÜbungDi 08:30-10:00III (1010|107)×15ÜbungDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)×12VorlesungDi 08:30-10:00III (1010|107)×15VorlesungDo 08:30-10:00MAGMA-Hörsaal (H 218) (1390|218)
High-dimensional Probability TheoryHigh-dimensional Probability for Mathematicians and Data Scientists Vorlesung×13Di 10:30-12:00R 5 (1080|005)×12Do 08:30-10:00III (1010|107)
High-dimensional Probability for Mathematicians and Data Scientists Übung0×14Di 08:30-10:00Fk 9 (1541|209)×12Do 12:30-14:00III (1010|107)×12Do 18:30-20:00SG 12 (1810|012)
Mathematical Aspects in Computational ChemistryMathematische Modelle der Natur- und Ingenieurwissenschaften (PDEs) Übung0×13Fr 12:30-14:001090|328
Mathematical Models in Science and EngineeringMathematische Modelle der Natur- und Ingenieurwissenschaften (PDEs) Vorlesung×13Di 10:30-12:001090|328×13Fr 12:30-14:001090|328
Mathematische Modelle der Natur- und Ingenieurwissenschaften (PDEs) Übung0×13Fr 12:30-14:001090|328
Integer Linear ProgrammingGanzzahlige Lineare Optimierung Vorlesung9×12Mo 14:30-16:00SeMath (1950|008)×12Mi 10:30-12:00SeMath (1950|008)×1Mi 10:30-12:00SG 203 (1810|203)
Ganzzahlige Lineare Optimierung Übung0×12Mo 16:30-18:00SeMath (1950|008)
Time Series AnalysisZeitreihenanalyse Vorlesung9×14Di 16:30-18:00H08 (1385|219)×13Mi 16:30-18:00AS (1050|U101)
Multiscale TechniquesMultiskalentechniken Vorlesung×14Mi 08:30-10:001010|149×12Do 08:30-10:001010|149
Multiskalentechniken (Übung) Übung0×14Di 08:30-10:001010|149
Numerical Multilinear AlgebraNumerische Multilineare Algebra Vorlesung9×12Mo 08:30-10:001010|149×14Mi 12:30-14:001010|149
Numerische Multilineare Algebra (Übung) Übung0×12Mo 10:30-12:001010|149×1Fr 08:15-10:001010|149
Stochastic Numerics with Applications in Simulation and Data ScienceStochastische Numerik mit Anwendungen in Simulation und Data Science Vorlesung×14Di 08:30-10:00Online-Veranstaltung×14Mi 10:30-12:00Online-Veranstaltung×12Do 10:30-12:00Online-Veranstaltung
Stochastische Numerik mit Anwendungen in Simulation und Data Science Übung0×13Fr 10:30-12:00Online-Veranstaltung
Numerical Methods for Random Partial Differential Equations: Hierarchical Approximation and Machine Learning ApproachesNumerical methods for random partial differential equations: hierarchical approximation and machine learning approaches Vorlesung×14Di 14:30-16:00Online-Veranstaltung×13Mi 14:30-16:00Online-Veranstaltung×12Do 14:30-16:00Online-Veranstaltung
Numerical methods for random partial differential equations: hierarchical approximation and machine learning approaches Tutorium×12Mo 16:00-17:30Online-Veranstaltung
Numerical methods for random partial differential equations: hierarchical approximation and machine learning approaches Übung0×13Fr 14:30-16:00Online-Veranstaltung
High-dimensional Probability for Mathematicians and Data ScientistsHigh-dimensional Probability for Mathematicians and Data Scientists Vorlesung×13Di 10:30-12:00R 5 (1080|005)×12Do 08:30-10:00III (1010|107)
High-dimensional Probability for Mathematicians and Data Scientists Übung×14Di 08:30-10:00Fk 9 (1541|209)×12Do 12:30-14:00III (1010|107)×12Do 18:30-20:00SG 12 (1810|012)
Exploratory Data AnalysisExploratory Data Analysis Vorlesung×13Di 08:30-10:00II (1010|201)×11Do 14:30-16:00I (1010|101)
Exploratory Data Analysis Übung×13Mi 16:30-18:00II (1010|201)