[ 481MAPHWIRK22 ] KV Scientific Computing

Workload Education level Study areas Responsible person Hours per week Coordinating university
6 ECTS M - Master's programme Mechatronics Astrid Pechstein 4 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechatronics 2022W
  • Acquiring knowledge about the mathematical foundations of scientific computing,
  • self-reliant transformation of acquired basic knowledge to applications,
  • recognizing fields of applications of the presented algorithms,
  • acquiring the ability to transform/adapt the algorithms to applications,
  • acquiring the ability to implement these algorithms in C++
  • basics of scientific computing in C++ (object-oriented programming, pointers/references, memory management, templates)
  • solution of linear systems of equations, stability
  • sparse systems, iterative methods
  • computation of eigenvalues or singular values
  • nonlinear systems of equations
  • interpolation
  • numeric integration
Criteria for evaluation Homeworks during term and oral exam
Methods Mathematical basics: blackboard interactive development and testing of algorithms
Language German
Study material W.H. Press, S.A. Teukolsky, W.T. Vetterling and B.P. Flannery: Numerical Recipies, 3rd edition, Cambridge University Press, 2007.
Changing subject? No
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence