| |
| Previous course: C4905 |
| Offered by:
Department of Information Technology
(IT) |
| No credit points with: C4905 |
| Prerequisite: C4205/49101/49108 |
| Recommended semester:
4th -7th semester |
| Limitation: Max. 50 |
| Scope and form: Lectures and/or group seminars. 4 hour problemsolving/exercises. |
| Examination:
Written exam
(13 point scale
) |
Remarks: Basic knowledge in electronics, physics and mathematics.
For further information look at the teachers homepage: www.it.dtu.dk/~el. |
| Contact person: |
Erik Lindberg, IT, Building 344, Tel. +45 4525 3650Look at the homepage:www.it.dtu.dk/~el |
|
| Aim: To enable the student to analyse linear/non-linear electrical circuits and general physical systems, using existing computer programs and own special programs. The student is to obtain an insight into computer aided simulation and skills in modelling and programming that will enable him/her to (1) judge if it is worth using a computer in a given situation and (2) plan, perform and evaluate a chosen form of analysis. |
Contents: Modelling of electrical circuits and general physical systems (using the method af analogy). Analysis of linear and non-linear electrical circuits and systems by means of various computer programs (e.g. ANP3, APLAC, ESACAP, HSPICE, NAP2, OPTIMA, PSpice et.al.) The "practical" use of the programs is learned by private study in connection with the solution of exercises. The users manuals for the programs are used as hand-books. The material for the lectures is in English. It consists of various papers from the litterature together with notes made during the course in cooperation with the participants. After passing the course the participants may continue with individual hardware project in the laboratory so that theoretical and practical results can be compared.
Suggestions of topics which may be studied in details: Frequency and time domain analysis. Determination of poles and zeros for driving point and transfer functions. Chaotic oscillators. Sensitivity analysis. Worst case analysis. Optimisation. Systematic setting up and solution of equations. Extended nodal equations (Modified Nodal Approach). Algebraic equations. Differential equations. Sparse matrices. Iterative solution. Numerical integration. Eigenvalue determination. |
