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(winter 2007/2008) 
Audience:
The lecture is also still open for
 students in Informatik (Hauptstudium, vertiefende Vorlesung in Theoretische Informatik)
 students in Physik (Hauptstudium, nichtphysikalisches Wahlfach)
however, we recommend to choose other lectures with similar content
(esp. Modellbildung und Simulation), because the lecture
in Scientific Computing is now especially tailored to fit into the
curriculum of the CSE Master's program (and is therefore to some extent
incomplete without its CSE counterparts).
Time and Place:
Wednesday 12:3014:00,
lecture room MI 02.07.023,
first lesson Oct 24
Contents:
This course provides an overview of scientific computing, i. e. of the
different tasks to be tackled on the way towards powerful
numerical simulations. The entire "pipeline" of simulation is discussed:
 mathematical models:
derivation, analysis, and classification
 numerical treatment of these models:
discretization of (partial) differential systems, grid generation
 efficient implementation of numerical algorithms:
implementation on monoprocessors vs. parallel computers
(architectural features, parallel programming, load distribution,
parallel numerical algorithms)
 interpretation of numerical results & visualization

 validation
The course is conceived as an introduction to the thriving field of
numerical simulation for computer scientists, mathematicians, engineers,
or natural scientists without an already strong background in
numerical methods.
Exam
 Date of Final Exam:
Wednesday, February 6, during the
lecture, i.e. 12:0014:00 (the exam will start
on 12:15, so please be present in time) in lecture room MI 02.07.023
(students with matr. number 311... and 312...) and lecture hall MI HS 2
(all others).
 Helping material:
you are allowed to bring one sheet (size A4) of paper
with handwritten(!) notes during the exam.
Any further helping material (books, calculators, . . .) is forbidden.
 Topics and exam questions:
Exam topics are all topics covered during the lectures;
see also the question catalogues on the materials page.
 Results:
The results of the exam are now available via the
mytumPortal.
Log in with your mytumaccount to access your result.
 Exam review: Monday, Feb 25, 2008, 12:3014:30
in office room 02.05.053 (Dr. Bader).
 Repeat exam:
For individual appointments for an oral repeat exam, please contact
Dr. Bader.
See this separate page.
Literature
 A.B. Shiflet and G.W. Shiflet:
Introduction to Computational Science,
Princeton University Press
 Boyce, DiPrima:
Elementary Differential Equations and Boundary Value Problems,
Wiley, 1992 (5th edition)
 Golub, Ortega:
Scientific Computing: An Introduction with Parallel Computing,
Academic Press, 1993
 Tveito, Winther:
Introduction to Partial Differential Equations 
A Computational Approach,
Springer, 1998
 Stoer, Bulirsch:
Introduction to Numerical Analysis,
Springer, 1996
 Hackbusch:
Elliptic Differential Equations  Theory and Numerical Treatment,
Springer, 1992
Michael Bader