Course of Study Computational Science and Engineering (Study Cohort w15)

Sample course plan M  Master Computational Science and Engineering (IIWMS)
Specialisation Scientific Computing
Legend:
Core qualification CompulsorySpecialisation CompulsoryFocus CompulsoryThesis Compulsory
Core qualification Elective CompulsorySpecialisation Elective CompulsoryFocus Elective CompulsoryInterdisciplinary complement
LP
Semester 1FormHrs/wk
Semester 2FormHrs/wk
Semester 3FormHrs/wk
Semester 4FormHrs/wk
1
Numerical Mathematics II
Numerical Mathematics IIVL2
Numerical Mathematics IIUE2
Nonlinear Optimization
Nonlinear OptimizationVL3
Nonlinear OptimizationUE1
Research Project and Seminar
SeminarSE2
Master Thesis
2
3
4
5
6
7
Finite Elements Methods
Finite Element MethodsVL2
Finite Element MethodsHÜ2
High-Order FEM
High-Order FEMVL3
High-Order FEMHÜ1
8
9
10
11
12
13
Hierarchical Algorithms
Hierarchical AlgorithmsVL2
Hierarchical AlgorithmsUE2
High-Performance Computing
Fundamentals of High-Performance ComputingVL2
Fundamentals of High-Performance ComputingPOL2
14
15
16
17
18
19
Continuum Mechanics
Continuum MechanicsVL2
Continuum Mechanics ExerciseUE2
Modeling Across The Scales
Modeling Across The ScalesVL2
Modeling Across The Scales - ExcerciseUE2
Innovative CFD Approaches
Application of Innovative CFD Methods in Research and DevelopmentVL2
Application of Innovative CFD Methods in Research and DevelopmentUE2
20
21
22
23
24
25
Material Modeling
Material ModelingVL2
Material ModelingUE2
26
27
28
29
30
Business & Management (from catalogue) - 6LP
Nontechnical Elective Complementary Courses for Master (from catalogue) - 6LP

The choice of courses from the catalogue is flexible (depends on the semestral work load), provided the necessary number of required credits is reached.