Course of Study Computational Science and Engineering <span style='font-size:80%'>(Study Cohort w15)</span>

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

Sample course plan K Master Computational Science and Engineering (IIWMS)
Specialisation Scientific Computing

Legend:
Core qualification Compulsory	Specialisation Compulsory	Focus Compulsory	Thesis Compulsory
Core qualification Elective Compulsory	Specialisation Elective Compulsory	Focus Elective Compulsory	Interdisciplinary complement

Semester 1

Form

Hrs/wk

Semester 2

Form

Hrs/wk

Semester 3

Form

Hrs/wk

Semester 4

Form

Hrs/wk


Numerical Mathematics II
Numerical Mathematics II	VL	2
Numerical Mathematics II	UE	2


Nonlinear Optimization
Nonlinear Optimization	VL	3
Nonlinear Optimization	UE	1


Research Project and Seminar
Seminar	SE	2


Master Thesis


Finite Elements Methods
Finite Element Methods	VL	2
Finite Element Methods	HÜ	2


Scientific Computing and Accuracy
Verification Methods	VL	2
Verification Methods	UE	2


Hierarchical Algorithms
Hierarchical Algorithms	VL	2
Hierarchical Algorithms	UE	2


Numerical Treatment of Ordinary Differential Equations
Numerical Treatment of Ordinary Partial Differential Equations	VL	2
Numerical Treatment of Ordinary Partial Differential Equations	UE	2


Matrix Algorithms
Matrix Algorithms	VL	2
Matrix Algorithms	UE	2


Matrix Theory
Numerical Analysis and Matrix Theory	VL	2
Numerical Analysis and Matrix Theory	UE	2


Innovative CFD Approaches
Application of Innovative CFD Methods in Research and Development	VL	2
Application of Innovative CFD Methods in Research and Development	UE	2


Algorithmic Algebra
Algorithmic Algebra	VL	3
Algorithmic Algebra	UE	1

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.