course: Computational Engineering 1

number:
141377
teaching methods:
lecture with tutorials
media:
computer based presentation, black board and chalk
responsible person:
Priv.-Doz. Dr. Jürgen Geiser
lecturer:
Priv.-Doz. Dr. Jürgen Geiser (ETIT)
language:
english
HWS:
2
CP:
3
offered in:
winter term

dates in winter term

  • start: Monday the 25.09.2017
  • lecture with integrated tutorials: Monday the 25.09.2017 from 09:00 to 16.00 o'clock in ID 03/445
  • lecture with integrated tutorials: Tuesday the 26.09.2017 from 09:00 to 16.00 o'clock in ID 03/445
  • lecture with integrated tutorials: Wednesday the 27.09.2017 from 09:00 to 16.00 o'clock in ID 03/445
  • lecture with integrated tutorials: Thursday the 28.09.2017 from 09:00 to 16.00 o'clock in ID 03/445
  • lecture with integrated tutorials: Friday the 29.09.2017 from 09:00 to 16.00 o'clock in ID 03/445

Exam

None

Date according to prior agreement with lecturer.

Duration: 30min
Exam registration: Directly with the lecturer
description of exam:

The type of examination will be announced in the first lecture.


goals

  • Derivation of the modelling equations for fluid- and electrodynamics.
  • Introduction into numerical methods related to multiscale modells (multiscalen-methods and special discretization-methods, e.g., FDTD-methods).
  • Consolidation into special multiscale solvers, e.g., HMM (Heterogeneous Multiscale Method), EFM (Equation-Free Method), MISM (Multiscale Iterative Splitting Method).
  • Examples in the field of transport-reactions- and Maxwell-equations (e.g., particle-transport in the electromagnetic field).
  • Programming exercises in MATLAB.

content

  • Modelling of electromagnetic- and transport-problems (transport-reaction- and Maxwell-equations).
  • Preparing the theoretical principles for solving the underlying partial differential equations with different spatial- and time-scales (multiscale theory).
  • Communicating the numerical solver methods for efficient and robust simulation algorithms.
  • Communicating of so called multiscale solvers, e.g.,HMM (Heterogeneous Multiscale Methods, which allow to calculate and transfer between microscopic (fine) and macroscopic (coarse) models (or grids).
  • Introducing into commercial software-packages(MATLAB) for solving the underlying differential equations.

requirements

none

recommended knowledge

Content of the modules Mathematik 1-3

miscellaneous

The lecture is given as block-lecture. The examinations can be passed at Friday. In the course a script is used. While the number of participants is limited, please register as soon as possible till 28.09.2018 at the secretary Elke Konhaeuser (konhaeuser@tet.ruhr-uni-bochum.de).

Dates in winter term 2018:
  • Monday 24.09.2018, 09:00-16.00, in room ID 03/445
  • Tuesday 25.09.2018, 09:00-16.00, in room ID 03/445
  • Wednesday 26.09.2018, 09:00-16.00, in room ID 03/445
  • Thursday 27.09.2018, 09:00-16.00, in room ID 03/445
  • Friday 28.09.2018, 09:00-16.00, in room ID 03/445

The practical exercises are given in MATLAB, in room ID 1/104 (CIP room).

The course is awarded with the eLearning Label of the RUB for the summer-semester 2016 and 2017. Further the lecturer is awarded with the 18th elearning-prize of the "in-class and out-of-class" concept.