Course of Study Computational Science and Engineering (Study Cohort w14)

Sample course plan C  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
Research Project Work2
SeminarSE2
Master Thesis
2
3
4
5
6
7
Hierarchical Algorithms
Hierarchical AlgorithmsVL2
Hierarchical AlgorithmsUE2
Scientific Computing and Accuracy
Verification MethodsVL2
Verification MethodsUE2
8
9
10
11
12
13
Matrix Algorithms
Matrix AlgorithmsVL2
Matrix AlgorithmsUE2
Numerical Algorithms in Structural Mechanics
Numerical Algorithms in Structural MechanicsVL2
Numerical Algorithms in Structural MechanicsUE2
14
15
16
17
18
19
Finite Elements Methods
Finite Element MethodsVL2
Finite Element Methods2
Approximation and Stability
Approximation and StabilityVL2
Approximation and StabilityUE1
Approximation and StabilitySE1
Innovative CFD Approaches
Application of Innovative CFD Methods in Research and Development4
20
21
22
23
24
25
Numerical Treatment of Ordinary Differential Equations
Numerical Treatment of Ordinary Partial Differential EquationsVL2
Numerical Treatment of Ordinary Partial Differential EquationsUE2
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.