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Scientific Computing II (IN2141)

Course 0000002465 in SS 2018

General Data

Course Type lecture with integrated exercises
Semester Weekly Hours 4 SWS
Organisational Unit Informatics 5 - Chair of Scientific Computing (Prof. Bungartz)
Lecturers Michael Georg Bader
Nikola Plamenov Tchipev
Carsten Uphoff
Dates Tue, 10:00–12:00, MI 00.04.011
Fri, 14:00–16:00, MI 00.04.011
and 3 singular or moved dates

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks The lecture gives deeper insight into two selected topics of scientific computing: - Iterative solution methods for large, sparse linear systems (Jacobi, Gauss- Seidel, SOR methods, multigrid, Krylov-Subspace methods, preconditioning); intuitive introduction, mathematical performance analysis and sample computations - Molecular simulations as a case study for the work in scientific computing (overview the physical model the mathematical model discretization implementation parallelization)
Links Course documents
E-Learning course (e. g. Moodle)
Additional information
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SS 2019 Scientific Computing II (IN2141) Bader, M. Reinarz, A. Tchipev, N. Fri, 14:00–16:00, MI 00.04.011
Tue, 10:00–12:00, MI 00.04.011
SS 2017 Scientific Computing II (IN2141) Tchipev, N. Uphoff, C.
Responsible/Coordination: Bader, M.
Tue, 10:00–12:00, MI 00.04.011
Mon, 14:00–16:00, MI 00.04.011
SS 2016 Scientific Computing II (IN2141) Mon, 14:00–16:00, MI 00.04.011
Tue, 10:00–12:00, MI 02.07.023
SS 2015 Scientific Computing II (IN2141) Tue, 10:00–12:00, MI 00.04.011
Fri, 12:00–14:00, MI 00.06.011
Tue, 10:00–12:00, MI 02.07.023
SS 2014 Scientific Computing II (IN2141) Tue, 10:00–12:00, MI 02.07.023
Mon, 10:00–12:00, MI 02.07.023
SS 2013 Scientific Computing II (IN2141)
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