Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.
Master Computational Science (910 [2] - Version 2022)
APMG-A Foundations of Computational Science A (für Absolvent*innen eines naturwiss. Vorstudiums) (24 ECTS)
PN-NUM1 Pflichtmodul Numerical Mathematics 1 (12 ECTS)
PMG-PA Pflichtmodul Programming and Algorithms (12 ECTS)
PROG Pflichtmodul Programming (6 ECTS)
- 051020 VU Programmierung 2
PLC Pflichtmodul Programming Languages and Concepts (6 ECTS)
APMG-B Foundations of Computational Science B (für Absolvent*innen eines Vorstudiums Mathematik) (24 ECTS)
PMG-PA Pflichtmodul Programming and Algorithms (12 ECTS)
PROG Pflichtmodul Programming (6 ECTS)
- 051020 VU Programmierung 2
PLC Pflichtmodul Programming Languages and Concepts (6 ECTS)
WMG-NAT Wahlmodulgruppe Computational Natural Sciences (12 ECTS)
ICA Introduction to Computational Astrophysics (6 ECTS)
- 280522 VU [ en ] Methods of Computational Astrophysics
ICBD Introduction to Computational Biology and Drug Discovery (6 ECTS)
ICCP Introduction to Computational Chemistry and Physics (6 ECTS)
- 262010 VO [ en ] Introduction to Computational Chemistry and Physics
- 262011 UE [ en ] Introduction to Computational Chemistry and Physics - Exercises
ICM Introduction to Computational Meteorology (6ECTS)
APMG-C Foundations of Computational Science C (für Absolvent*innen eines Vorstudiums Informatik) (24 ECTS)
PN-NUM1 Pflichtmodul Numerical Mathematics 1 (12 ECTS)
WMG-NAT Wahlmodulgruppe Computational Natural Sciences (12 ECTS)
ICA Introduction to Computational Astrophysics (6 ECTS)
ICBD Introduction to Computational Biology and Drug Discovery (6 ECTS)
ICCP Introduction to Computational Chemistry and Physics (6 ECTS)
- 262010 VO [ en ] Introduction to Computational Chemistry and Physics
- 262011 UE [ en ] Introduction to Computational Chemistry and Physics - Exercises
ICM Introduction to Computational Meteorology (6ECTS)
Alternative Pflichtmodule Data Science (6 ECTS)
IML Alternatives Pflichtmodul Introduction to Machine Learning (6 ECTS)
SDS Alternatives Pflichtmodul Statistics for Data Science (6 ECTS)
Pflichtmodulgruppe Core of Computational Science (30 ECTS)
PM-NUM2 Pflichtmodul Numerical Mathematics 2 (8 ECTS)
- 262007 VO [ en ] Numerical Mathematics 2
- 262008 UE [ en ] Numerical Mathematics 2 - Exercises
PM-ADS Pflichtmodul Algorithms and Data Structures for Computational Science (4 ECTS)
- 262014 VU [ en ] Algorithms and Data Structures for Computational Science
PM-ACS Pflichtmodul Advanced Computational Science (18 ECTS)
Naturwissenschaftliche Fächer (mindestens 8 ECTS)
- PRÜFUNG M-CORE 1 Written Module Exam Advanced Computational Physics
- PRÜFUNG M-CORE 5 Written Module Exam Advanced Quantum Mechanics
- PRÜFUNG M-CORE 2 Written Module Exam Advanced Electronic Structure
- PRÜFUNG M-CORE 6 Written Module Exam Advanced Statistical Physics and Soft Matter Physics
- 260046 VU [ en ] Surface Science
- 270037 VU Chemieinformatik
- 270054 VO Bioinformatik der Nukleinsäuren
- 270080 VU [ de en ] ( DIGITAL ) Molekulardynamische Simulationen und ihre Auswertung
- 270117 VO [ en ] Moderne Quantenchemie
- 270134 VO [ de en ] High performance Computing in Chemistry
- 270190 VU [ en ] ( GEMISCHT ) Introduction to metabolic modelling
- 270198 VO Bioinformatik I
- 270275 VO Computersimulation von Biopolymeren
- 280355 VU [ en ] First steps in model development
- 280356 VU [ en ] Fundamentals of Machine Learning in Meteorology
- 300232 VU [ en ] Introduction to coding in R (VU): A hands-on approach - study design
- 300332 UE [ en ] Practical Course in Modelling and Systems Biology
- 300344 VO [ en ] Introduction to Quantitative Biology and Systems Biology
- 300362 UE [ en ] Applied Data Analysis
- 301026 SE [ en ] Computational methods in microbial ecology
- 301558 UE UE aus Biomolekularer Simulation
- 301577 VO Biomolekulare Simulation
Programmierung & Algorithmen und/oder Data Science (mindestens 6 ECTS)
- 052101 VU [ en ] Numerical Algorithms
- 052500 VU [ en ] Distributed Systems Engineering
- 052800 VU [ en ] Parallel Computing
Pflichtmodul Academic Skills and Ethics (3 ECTS)
PM-ASE Academic Skills and Ethics (3 ECTS)
Pflichtmodul Specialisation (20 ECTS)
PM-SPEC Specialisation (20 ECTS)
- 052113 VU [ en ] Software Tools for Computational and Data Science
- 052114 VU [ en ] Distributed and Parallel Algorithms
- 052315 VU [ en ] Natural Language Processing
- 052811 VU [ en ] Program Optimisations and Runtime Systems
- 052812 VU [ en ] High Performance Computing
- 052813 VU [ en ] Scientific Data Management
- 053621 VU [ en ] Mining Massive Data
- 250090 SE [ en ] Applied Machine Learning
- 260010 LP [ en ] Laboratory: Computational Materials Physics
- 260014 VO [ en ] Principles of soft matter physics
- 260020 VU [ en ] Biologische Physik
- 260035 LP [ en ] Laboratory: Computational Statistical Mechanics
- 260050 VO [ en ] Entanglement in quantum many-body systems
- 260052 VU [ en ] Engineered quantum many-body systems
- 270034 PR Praktikum zur Bioinformatik der Nukleinsäuren
- 270040 PR Praktikum zur Computersimulation von Biopolymeren
- 270043 PR ( GEMISCHT ) Forschungsbeispiel Modellierung von Soft Matter und Materialien
- 270056 PR Algorithmen und Programmentwicklung für die Biologische Chemie
- 270064 SE 3D Druck in der Chemie
- 270128 PR Forschungsbeispiele aus Computergestützter Biologischer Chemie
- 270229 PR Forschungsbeispiel in Chemischer Dynamik
- 270237 PR [ de en ] Forschungsbeispiel in Theoretischer Chemie
- 280351 VU [ en ] Climate Modelling Lab
- 280355 VU [ en ] First steps in model development
- 301186 VU [ en ] Structural Bioinformatics
- 301232 VO [ en ] Computergestuetzte Strukturelle Biologie
- 301400 VU [ en ] Fundamentals of Quantitative Biology
- 301578 VO Spezielle Themen der Bioinformatik
- 323101 VU [ en ] Pharmacoinformatics - MPS5
- 323102 VU [ en ] Pharmacoinformatics Practical Course - MPS5
- 520002 VU [ en ] Micromagnetics and Spintronics: Models and Simulation
Pflichtmodul Extension (10 ECTS)
PM-EXT Extension (10 ECTS)
- 059912 VU [ en ] Digital Innovation Lab
Letzte Änderung: Fr 10.01.2025 00:43
Nachdem diese Schritte erfolgreich absolviert wurden, können Sie dann bei den Vormerkungen zu den Lehrveranstaltungen, das Masterstudium auswählen.