Scientific Computing I - Winter 16: Difference between revisions

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= Announcements =
= Announcements =
* The lecture in the first week (on Oct 19) will be cancelled, as the CSE students have an alternate program on this day
*  <!--<font color="red">the room for the 2nd exam has been moved: It is now MW2050</font>
*  <!--<font color="red">the room for the 2nd exam has been moved: It is now MW2050</font>
* The Q&A session takes place on <font color="red">01.02.2016 (Mon) at 14:00-18:00, room 03.13.010</font>. Send any questions you have to <font color="blue">scicomp1_QA@mailsccs.in.tum.de</font> until <font color="red">28.01.2015 (Thu)</font>.
* The Q&A session takes place on <font color="red">01.02.2016 (Mon) at 14:00-18:00, room 03.13.010</font>. Send any questions you have to <font color="blue">scicomp1_QA@mailsccs.in.tum.de</font> until <font color="red">28.01.2015 (Thu)</font>.

Revision as of 10:57, 6 October 2016

Term
Winter 16
Lecturer
Prof. Dr. Michael Bader
Time and Place
Wednesday, 10-12; MI HS 2 (starts Oct 26)
Audience
Computational Science and Engineering, 1st semester
Tutorials
Denis Jarema, Steffen Seckler
time and place:
  I group: Wednesday, 14-16, MI 02.07.023,
 II group: Monday, 14-16, MI 03.13.010
Exam
Semesterwochenstunden / ECTS Credits
4 SWS (2V+2Ü) / 5 Credits
TUMonline
tba



Announcements

  • The lecture in the first week (on Oct 19) will be cancelled, as the CSE students have an alternate program on this day

Contents

The lecture will cover the following topics in scientific computing:

  • typical tasks in the simulation pipeline in scientific computing;
  • classification of mathematical models (discrete/continuous, deterministic/stochastic, etc.);
  • modelling with (systems) of ordinary differential equations (example: population models);
  • modelling with partial differential equations (example: heat equations);
  • numerical treatment of models (discretisation of ordinary and partial differential equations: introduction to Finite Volume and Finite Element Methods, grid generation, assembly of the respective large systems of linear equations);
  • analysis of the resulting numerical schemes (w.r.t. convergence, consistency, stability, efficiency);

An outlook will be given on the following topics:

  • efficient implementation of numerical algorithms, both on monoprocessors and parallel computers (architectural features, parallel programming, load distribution, parallel numerical algorithms)
  • interpretation of numerical results (visualization)

Lecture Notes and Material

Exams

Catalogue of Exam Questions

The following catalogue contain questions collected by students of the lectures in winter 05/06 and 06/07. The catalogue is intended for preparation for the exam, only, and serves as some orientation. It's by no means meant to be a complete collection.

Last Years' Exams

Please, be aware that there are always slight changes in topics between the different years' lectures. Hence, the previous exams are not fully representative for this year's exam.

Literature

Books and Papers

  • A.B. Shiflet and G.W. Shiflet: Introduction to Computational Science, Princeton University Press (in particular Chapter 3,5,6)
  • G. Strang: Computational Science and Engineering, Wellesley-Cambridge Press, 2007
  • G. Golub and J. M. Ortega: Scientific Computing and Differential Equations, Academic Press (in particular Chapter 1-4,8)
  • Tveito, Winther: Introduction to Partial Differential Equations - A Computational Approach, Springer, 1998 (in particular Chapter 1-4,7,10)
  • A. Tveito, H.P. Langtangen, B. Frederik Nielsen und X. Cai: Elements of Scientific Computing, Texts in Computational Science and Engineering 7, Springer, 2010 (available as ebook)
  • B. DiPrima: Elementary Differential Equations and Boundary Value Problems, Wiley, 1992 (excellent online material)
  • D. Braess: Finite Elements. Theory, Fast Solvers and Applications in Solid Mechanics, Cambridge University Press (in particular I.1, I.3, I.4, II.2)

Online Material

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