Die dunkel hinterlegten Zellen sind dem Studienhandbuch entnommen; die alphanumerischen Klassencodes aus dem Studienhandbuch geben die Stellung der LVA im Curriculum an. Die hell hinerlegten Zellen geben die angebotenen LVAs im Semester 2026w laut KUSSS wieder; diese sind durch die LVA-Nummer identifiziert. Datenstand (KUSSS): 4.8.2026 [Alle Kursklassen anzeigen]
Klassencode bzw. LVA-Nummer und Titel Lehrende(r) W ECTS SSt.
404COSU23: Core Subjects
Three core subjects (12,00 ECTS each) have to be fully completed. Courses from the other core subjects can be counted towards the Electvies.
36,00
........ 404ALBR23: Algebra 0,00/12,00
................ 404ALBRALGV23 / 368.134: VL Algebra Weitere Infos Manuel Kauers 6,00 4,0
................ 404ALBRALVC23 / 326.030: VL Algebraic Combinatorics Weitere Infos Silviu Radu 3,00 2,0
........ 404ANAC23: Analysis 0,00/12,00
................ 404ANACCANV23 / 324.900: VL Complex Analysis Weitere Infos Marco Bresciani 4,50 3,0
........ 404CANC23: Computer Algebra and Number Theory 0,00/12,00
................ 404CANCSSIV23 / 326.079: VL Symbolic Summation and Integration Weitere Infos Carsten Schneider 4,50 3,0
........ 404GEOC23: Geometry 0,00/12,00
................ 404GEOCCAAV23 / 326.0KA: VL Commutative Algebra and Algebraic Geometry Weitere Infos Josef Schicho 3,00 2,0
........ 404MMMC23: Mathematical Methods in Modeling and Data Analysis 0,00/12,00
................ 403MAMOIEBV22 / 323.006: VO Integral Equations and Boundary Value Problems Simon Hubmer; Simon Hubmer 6,00 4,0
................ 404MMMCSTMV23 / 369.110: VO Statistical Methods Weitere Infos Amira Meddah 3,00 2,0
........ 404MAMC23: Mathematical Models 0,00/12,00
................ 403MAMOMMCV22 / 323.003: VO Mathematical Methods in Continuum Mechanics Stefan Kindermann 6,00 4,0
................ 404MAMCNLIV23 / 325.011: VL Non-Life Insurance Mathematics Sascha Desmettre 3,00 2,0
........ 404NUMC23: Numerical Methods 0,00/12,00
................ 403NUSINMEV22 / 327.003: VO Numerical Methods for Elliptic Equations Herbert Egger 6,00 4,0
........ 404STCC23: Stochastics 0,00/12,00
................ 403MAMOFIMV22 / 325.008: VO Financial Mathematics Sascha Desmettre 4,50 3,0
................ 403MAMOSTPV22 / 325.006: VO Stochastic Processes Peter Kritzer 3,00 2,0
........ 404SLOC23: Symbolic Logic 0,00/12,00
................ 921SOENFMSK13 / 326.013: KV Formal Methods in Software Development Weitere Infos Wolfgang Schreiner 4,50 3,0
404ELEC21: Electives
Take account of upper bounds on ECTS for Soft Skills and Supplementary Subjects.
31,50
........ 404ANAS23: Analysis 0,00-31,50
................ 201MASEANAS23 / 324.158: SE Analysis: Funktionalanalysis Weitere Infos Manuel Friedrich; Richard Lechner W 3,00 2,0
................ 201ANASCANU23 / 324.006: UE Complex Analysis Weitere Infos Marco Bresciani 3,00 2,0
................ 201ANASFRAV24 / 324.910: VO Fractals Weitere Infos Markus Passenbrunner 3,00 2,0
................ 201ANASFRAU24 / 324.911: UE Fractals Weitere Infos Markus Passenbrunner 1,50 1,0
................ 403COEXIEBU22 / 323.007: UE Integral Equations and Boundary Value Problems Simon Hackl 1,50 1,0
........ 404NUAN23: Numerical analysis 0,00-31,50
................ 201MASENUAS22 / 327.006: SE Numerical Analysis: Forschungsseminar Herbert Egger W 3,00 2,0
................ 201MASENUAS22 / 327.014: SE Numerical Analysis: Methodenseminar: Tba Herbert Egger W 3,00 2,0
................ 403COEXNMEU22 / 327.004: UE Numerical Methods for Elliptic Equations Felix Engertsberger; Herbert Egger 1,50 1,0
........ 404PTMS23: Probability theory and mathematical statistics 0,00-31,50
................ 201MASEPTMS22 / 369.203: SE Probability Theory and Mathematical Statistics: Spezielle Kapitel der Stochastik Weitere Infos Dmitry Efrosinin W 3,00 2,0
................ 201WTMSRETV22 / 369.003: VO Reliability Theory: Einführung in Grundbegriffe, Methoden u. Probleme der Zuverlässigkeitsanalyse von techn. Systemen Weitere Infos Dmitry Efrosinin 3,00 2,0
................ 201WTMSRETU22 / 369.122: UE Reliability Theory Weitere Infos Dmitry Efrosinin 1,50 1,0
................ 201WTMSSTMU22 / 369.111: UE Statistical Methods Weitere Infos Agnes Mallinger 1,50 1,0
................ 201WTMSSTPU22 / 325.007: UE Stochastic Processes Amira Meddah 1,50 1,0
........ 404MMNS23: Mathematical methods in the natural sciences 0,00-31,50
........ 404MMEN23: Mathematical methods in engineering 0,00-31,50
................ 403COEXMMEU22 / 323.004: UE Mathematical Methods in Continuum Mechanics Roland Wagner; Simon Hackl 1,50 1,0
................ 201MASEMMES22 / 323.008: SE Mathematical Methods in Engineering Ronny Ramlau W 3,00 2,0
........ 404MMES23: Mathematical methods in the economic sciences 0,00-31,50
................ 201MMWWFIMV22 / 325.009: UE Financial Mathematics Florian Aichinger 1,50 1,0
................ 201MASEMIES22 / 325.003: SE Mathematical Methods in the Economic Sciences Sascha Desmettre W 3,00 2,0
........ 404OPTI23: Optimization 0,00-31,50
................ 201OPTISP2V22 / 327.020: VL Special Topics Optimization: Convex Optimization and Analysis Daniel Walter W 3,00 2,0
................ 201OPTISP1U22 / 327.010: UE Special Topics Optimization: Convex Optimization and Analysis Daniel Walter W 1,50 1,0
........ 404SYCO23: Symbolic computation 0,00-31,50
................ 201SYMRACOU20 / 326.101: UE Algebraic combinatorics Weitere Infos Silviu Radu 1,50 1,0
................ 201SYMBPLSK23 / 326.024: KV Practical in Symbolic Computation: Logisches Programmieren Weitere Infos Teimuraz Kutsia W 3,00 2,0
................ 201SYMRSP2V20 / 326.057: VL Special Topics Symbolic Computation: Thinking, Speaking, Writing: Understanding and Creating Mathematical Proofs Silviu Radu W 3,00 2,0
................ 201SYMRSP2V20 / 326.082: VL Special Topics Symbolic Computation: Algorithmische Zahlentheorie Jose Capco W 3,00 2,0
................ 201SYMRSP2V20 / 326.034: VL Special Topics Symbolic Computation: Homologische Algebra Weitere Infos Günter Landsmann W 3,00 2,0
................ 201SYMRSP2V20 / 326.035: VL Special Topics Symbolic Computation: Elementar- und Vorzeichenvektoren Georg Regensburger W 3,00 2,0
................ 201SYMRSP2V20 / 326.025: VL Special Topics Symbolic Computation: Entscheidbare logische Theorien Weitere Infos Nikolaj Popov W 3,00 2,0
................ 201MASESYMS23 / 326.CA1: SE Symbolic Computation: Computer Algebra and Applications Weitere Infos Carsten Schneider W 3,00 2,0
................ 201MASESYMS23 / 326.092: SE Symbolic Computation: Computational Mathematics Georg Regensburger W 3,00 2,0
................ 201MASESYMS23 / 326.063: SE Symbolic Computation: Projektseminar Formale Methoden und Automatisches Beweisen Weitere Infos Wolfgang Windsteiger; Teimuraz Kutsia; Wolfgang Schreiner W 3,00 2,0
................ 201MASESYMS23 / 326.060: SE Symbolic Computation: Forschungsthemen in Algebra und Kombinatorik Josef Schicho W 3,00 2,0
........ 404ADMA23: Algebra and discrete mathematics 0,00-31,50
................ 201ADMAALGU20 / 368.135: UE Algebra Weitere Infos Isaac Wood 1,50 1,0
................ 201MASEADMS23 / 368.303: SE Algebra and Discrete Mathematics: Projektseminar Mathematische Talente Manuel Kauers; N.N. N.N. W 3,00 2,0
................ 201MASEADMS23 / 368.000: SE Algebra and Discrete Mathematics: Research Seminar Weitere Infos Manuel Kauers W 3,00 2,0
................ 201ADMASP2V20 / 368.165: VL Special Topics Algebra and Discrete Mathematics: Lie Groups Niels Lubbes W 3,00 2,0
................ 201ADMASP2V20 / 368.157: VL Special Topics Algebra and Discrete Mathematics: Universal algebra and equational logic Erhard Aichinger W 3,00 2,0
........ 404FUAN23: Functional analysis 0,00-31,50
........ 404GEOM23: Geometry 0,00-31,50
................ 201GEOMADGV24 / 356.170: VO Advanced differential geometry Weitere Infos Bert Jüttler 3,00 2,0
................ 201GEOMADGU24 / 356.171: UE Advanced differential geometry Elio Skenderaj 1,50 1,0
................ 201MASEGEOS22 / 356.300: SE Geometry: Recent Results in Computer Aided Geometric Design and Isogeometric Analysis Weitere Infos Bert Jüttler; Jana Vrablikova W 3,00 2,0
................ 201GEOMINTV24 / 356.010: VO Introduction to topology Weitere Infos Jana Vrablikova 3,00 2,0
................ 201GEOMINTU24 / 356.011: UE Introduction to topology Weitere Infos Jana Vrablikova 1,50 1,0
................ 201GEOMSP2V22 / 356.203: VL Special Topics Geometry: Advanced differential geometry; Di. 13:45 - 15:15 zeitgleich mit LV Advanced differential geometry (LV 356170, 356171) Weitere Infos Bert Jüttler W 3,00 2,0
................ 201GEOMSP1U22 / 356.204: UE Special Topics Geometry: Advanced differential geometry; Di. 13:45 - 15:15 zeitgleich mit LV Advanced differential geometry (LV 356170, 356171) Weitere Infos Bert Jüttler W 1,50 1,0
................ TM1WLVOSPLI / 356.012: VO Splines Weitere Infos Bert Jüttler 3,00 2,0
................ TM1WLUESPLI / 356.013: UE Splines Weitere Infos Elio Skenderaj 1,50 1,0
........ 404MMDM25: Mathematical Methods in Medicine and Data-Based Modelling 0,00-31,50
........ 404NUTH23: Number theory 0,00-31,50
................ 201ZATHNMNV22 / 325.060: VO Number-theoretic Methods in Numerical Analysis Friedrich Pillichshammer 3,00 2,0
........ 404SOSK23: Soft Skills 0,00-6,00
................ GS-BC / 536.020: VO Ethics and Gender Studies: Biology, Ethics and Gender Weitere Infos Bettina Bock von Wülfingen 3,00 2,0
................ GS-ME-TN / 536.127: KV Gender Studies Managing Equality TN: Gender in Naturwissenschaft und Technik Weitere Infos Bettina Bock von Wülfingen 3,00 2,0
................ GS-ME-TN / 536.027: KV Gender Studies Managing Equality TN: Gender in Naturwissenschaft und Technik Weitere Infos Bettina Bock von Wülfingen 3,00 2,0
........ 404ELEC23: Supplementary Subjects 0,00-9,00
................ 951STCOCSTK14 / 238.102: KV Computational Statistics Weitere Infos Andreas Futschik 4,00 2,0
................ 993MLPEDBTV25 / 365.105: VL Deep Learning: Basic Techniques Günter Klambauer; Pieter-Jan Hoedt 3,00 2,0
................ 993MLPEDBTU25 / 365.106: UE Deep Learning: Basic Techniques Richard Freinschlag; Pieter-Jan Hoedt; Günter Klambauer 1,50 1,0
................ 993MLPEDBTU25 / 365.200: UE Deep Learning: Basic Techniques Richard Freinschlag; Pieter-Jan Hoedt; Günter Klambauer 1,50 1,0
................ 993MLPEDBTU25 / 365.201: UE Deep Learning: Basic Techniques Richard Freinschlag; Pieter-Jan Hoedt; Günter Klambauer; N.N. N.N. 1,50 1,0
................ 993MLPEDBTU25 / 365.312: UE Deep Learning: Basic Techniques Richard Freinschlag; Pieter-Jan Hoedt; Günter Klambauer 1,50 1,0
................ 993MLPEDBTU25 / 365.313: UE Deep Learning: Basic Techniques Richard Freinschlag; Pieter-Jan Hoedt; Günter Klambauer 1,50 1,0
................ 993MLPEDBTU25 / 365.314: UE Deep Learning: Basic Techniques Klemens Hauzenberger; Richard Freinschlag; Günter Klambauer 1,50 1,0
................ 993MLPEDBTU25 / 365.261: UE Deep Learning: Basic Techniques Pieter-Jan Hoedt; Richard Freinschlag; Günter Klambauer 1,50 1,0
................ 993MLPEDBTU25 / 365.315: UE Deep Learning: Basic Techniques Günter Klambauer; Richard Freinschlag; N.N. N.N. 1,50 1,0
................ 993MLPEDBTU25 / 365.372: UE Deep Learning: Basic Techniques Klemens Hauzenberger; Richard Freinschlag; Günter Klambauer 1,50 1,0
................ 993MLPEDBTU25 / 365.334: UE Deep Learning: Basic Techniques Marco Pichler; Richard Freinschlag; Pieter-Jan Hoedt; Günter Klambauer 1,50 1,0
................ 993MLPEDBTU25 / 365.345: UE Deep Learning: Basic Techniques Marco Pichler 1,50 1,0
................ 977PADMGATU22 / 239.420: IK Game Theory Johannes Schneider 3,00 1,0
................ 977PADMGATK22 / 239.407: KS Game Theory Johannes Schneider 3,00 2,0
................ 993MLPELSTV25 / 365.107: VL LSTM & Transformers Sepp Hochreiter; Markus Holzleitner; Philipp Seidl 3,00 2,0
................ 993MLPELSTU25 / 365.203: UE LSTM & Transformers Markus Holzleitner; Philipp Seidl 1,50 1,0/1,5
................ 993MLPELSTU25 / 365.309: UE LSTM & Transformers Philipp Seidl; Markus Holzleitner 1,50 1,0/1,5
................ 993MLPELSTU25 / 365.310: UE LSTM & Transformers Philipp Seidl; Markus Holzleitner 1,50 1,0/1,5
................ 993MLPELSTU25 / 365.108: UE LSTM & Transformers Markus Holzleitner; Philipp Seidl 1,50 1,0/1,5
................ 993MLPELSTU25 / 365.202: UE LSTM & Transformers Paul Luger; Philipp Seidl 1,50 1,0/1,5
................ 993MLPELSTU25 / 365.111: UE LSTM & Transformers Philipp Seidl; Markus Holzleitner 1,50 1,0/1,5
................ 993MLPELSTU25 / 365.112: UE LSTM & Transformers Klemens Hauzenberger; Markus Holzleitner 1,50 1,0/1,5
................ 993MLPELSTU25 / 365.264: UE LSTM & Transformers Philipp Seidl; Markus Holzleitner 1,50 1,0/1,5
................ 993MLPELSTU25 / 365.113: UE LSTM & Transformers Klemens Hauzenberger; Markus Holzleitner 1,50 1,0/1,5
................ 993MLPELSTU25 / 365.114: UE LSTM & Transformers Philipp Seidl; Markus Holzleitner 1,50 1,0/1,5
................ 993MLPEMLTV25 / 365.041: VL Machine Learning: Advanced Techniques Werner Zellinger 3,00 2,0
................ 993MLPEMLTU25 / 365.357: UE Machine Learning: Advanced Techniques Markus Holzleitner; Eric Volkmann 1,50 1,0
................ 993MLPEMLTU25 / 365.042: UE Machine Learning: Advanced Techniques Markus Holzleitner; Eric Volkmann 1,50 1,0
................ 993MLPEMLTU25 / 365.356: UE Machine Learning: Advanced Techniques Markus Holzleitner; Eric Volkmann 1,50 1,0
................ 993MLPEMLTU25 / 365.358: UE Machine Learning: Advanced Techniques Paul Setinek; Eric Volkmann 1,50 1,0
................ 993MLPEMLTU25 / 365.244: UE Machine Learning: Advanced Techniques Eric Volkmann; Stephanie Holly 1,50 1,0
................ 993MLPEMLTU25 / 365.359: UE Machine Learning: Advanced Techniques Paul Setinek; Eric Volkmann 1,50 1,0
................ 993MLPEMLTU25 / 365.100: UE Machine Learning: Advanced Techniques Markus Holzleitner; Eric Volkmann 1,50 1,0
................ 993MLPEMLTU25 / 365.245: UE Machine Learning: Advanced Techniques Eric Volkmann 1,50 1,0
................ 445VCOENMSV23 / 360.012: VO Numerical Methods in Fluid Mechanics Weitere Infos Stefan Pirker; Mahdi Saeedipour 3,00 2,0
................ 536MLPEREIV20 / 344.156: VL Reinforcement Learning Paul Primus; Carlos Cancino Chacon 3,00 2,0
................ 536MLPEREIU20 / 344.102: UE Reinforcement Learning: on site + distance learning group Paul Primus; Carlos Cancino Chacon 1,50 1,0
................ 536MLPEREIU20 / 344.109: UE Reinforcement Learning: on site + distance learning group Carlos Cancino Chacon 1,50 1,0
................ 536MLPEREIU20 / 344.124: UE Reinforcement Learning: distance learning group, Friday, 11:00 - 11:45 Carlos Cancino Chacon 1,50 1,0
................ 536MLPEREIU20 / 344.122: UE Reinforcement Learning: distance-learning group, Thursday, 16:15 - 17:00 Suhit Chiruthapudi 1,50 1,0
................ 536MLPEREIU20 / 344.125: UE Reinforcement Learning: distance-learning group, Thursday 17:15 - 18:00 Suhit Chiruthapudi 1,50 1,0
................ 536MLPEREIU20 / 344.123: UE Reinforcement Learning: distance-learning group, Friday 11:00 -11:45 Suhit Chiruthapudi 1,50 1,0
................ 536MLPEREIU20 / 344.225: UE Reinforcement Learning: DL-group, Thursday 15:30 - 16:15 Ivan Pilkov 1,50 1,0
................ 536MLPEREIU20 / 344.101: UE Reinforcement Learning: on site + distance learning group, Thur- 15:30 - 16:15 Carlos Cancino Chacon 1,50 1,0
................ 536MLPEREIU20 / 344.110: UE Reinforcement Learning: distance-learning group, Thursday 15:30 - 16:15 Carlos Cancino Chacon 1,50 1,0
................ 536MLPEREIU20 / 344.111: UE Reinforcement Learning: distance learning group, Thursday 16:15 - 17:00 Carlos Cancino Chacon 1,50 1,0
................ 536MLPEREIU20 / 344.121: UE Reinforcement Learning: distance-learning group, Thursday 15:30 - 16:15 Suhit Chiruthapudi 1,50 1,0
................ 536MLPEREIU20 / 344.226: UE Reinforcement Learning: on site + distnace learning, Thurstady 16:15 - 17:00 Ivan Pilkov 1,50 1,0
................ 536MLPEREIU20 / 344.227: UE Reinforcement Learning: See Moodle for further details. For late registration, please send an email with your name, student ID, and the course number to office@ai-lab.jku.at Ivan Pilkov 1,50 1,0
................ 536MLPEREIU20 / 344.228: UE Reinforcement Learning: on site + distance-learning group, Thursday 17:15 - 18:00 Ivan Pilkov 1,50 1,0
................ 281SYRTSUSV20 / 335.022: VL Signals and Systems Weitere Infos Andreas Springer; Werner Haselmayr 4,50 3,0
................ 281SYRTSUSU20 / 335.014: UE Signals and Systems Weitere Infos N.N. N.N. 1,50 1,0
................ 281SYRTSUSU20 / 335.015: UE Signals and Systems Weitere Infos N.N. N.N. 1,50 1,0
................ 281SYRTSUSU20 / 335.026: UE Signals and Systems Weitere Infos N.N. N.N. 1,50 1,0
................ 281SYRTSUSU20 / 335.023: UE Signals and Systems Weitere Infos N.N. N.N. 1,50 1,0
................ 281SYRTSUSU20 / 335.030: UE Signals and Systems Weitere Infos N.N. N.N. 1,50 1,0
................ 461GTPHSPIV23 / 313.098: VO Statistical Physics I Robert Zillich 3,00 2,0
................ 461GTPHSPIU23 / 313.227: UE Statistical Physics I Heinrich Krobath 1,50 1,0
................ 951SMDSSPDK20 / 238.111: KV Statistical Principles of Data Science Weitere Infos Andreas Futschik W 6,00 3,0
................ 254MBSITMBV22 / 357.190: VL Theoretical Modelling of Biological Systems Weitere Infos Luca Gerardo-Giorda 3,00 2,0
................ 254MBSITMBU22 / 357.192: UE Theoretical Modelling of Biological Systems Weitere Infos Philipp Guth 3,00 2,0
................ 254MBSITMBU22 / 357.191: UE Theoretical Modelling of Biological Systems Weitere Infos Argyrios Petras 3,00 2,0
................ 261THPHTTDV16 / 313.214: VL Theoretical Thermodynamics Frank Müh 3,00 2,0
................ 261THPHTTDU16 / 313.215: UE Theoretical Thermodynamics Heinrich Krobath 1,50 1,0
................ 261THPHTTDU16 / 313.216: UE Theoretical Thermodynamics Frank Müh 1,50 1,0
404MAAR20: Master's Thesis Seminars 16,00
........ 403MATSMT1S22 / 324.159: SE Master’s Thesis Seminar I Weitere Infos Markus Passenbrunner 8,00 2,0
........ 403MATSMT1S22 / 325.002: SE Master’s Thesis Seminar I Sascha Desmettre 8,00 2,0
........ 403MATSMT1S22 / 326.0XX: SE Master’s Thesis Seminar I Carsten Schneider 8,00 2,0
........ 403MATSMT1S22 / 323.005: SE Master’s Thesis Seminar I Ronny Ramlau 8,00 2,0
........ 403MATSMT1S22 / 356.403: SE Master’s Thesis Seminar I Bert Jüttler 8,00 2,0
........ 403MATSMT1S22 / 327.005: SE Master’s Thesis Seminar I Herbert Egger; Andreas Schafelner; Stefan Takacs; Daniel Walter 8,00 2,0
........ 403MATSMT1S22 / 368.166: SE Master’s Thesis Seminar I Manuel Kauers; Erhard Aichinger 8,00 2,0
404FREL20: Free electives 12,00
Master's Thesis 20,00
Master's Examination 4,50