| Statuss(Neaktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Course title | Basics of Computer Experiments |
| Course code | InfT3025 |
| Credit points (ECTS) | 3 |
| Total Hours in Course | 81 |
| Number of hours for lectures | 16 |
| Number of hours for laboratory classes | 16 |
| Independent study hours | 49 |
| Date of course confirmation | 16/01/2013 |
| Responsible Unit | Institute of Computer Systems and Data Science |
| Course developers | |
| Mg. sc. ing., pasn. Ilona Odziņa |
|
| There is no prerequisite knowledge required for this course | |
| Course abstract | |
| To simulate a physical system, one needs to create mathematical models to represent physical behavior in various circumstances. For successful test of models is necessary well prepared teaching data set, therefore in this course foreseen to explore methods of computer experiment design (Latin Hypercube Sampling un Uniform design methods). The models of the real systems are difficult, therefore will be examined optimization methods for structure of models. | |
| Learning outcomes and their assessment | |
| • Knowledge – of the linear, nonlinear, stohastic computer experiments planning methods, as well as the real system model optimization methods.
• Skills – to take computer experiment planning and real system model optimization using linear, nonlinear and stohastic methods, which are mentioned in programm. • Competence – appropriate selection of methods for planning computer experiments and taking real system model optimization. |
|
| Compulsory reading | |
| 1. Fang K., Li R., Sudjianto A. Design and modeling for computer eksperiments. London: Chapman & Hall/CRC, 2006. 290 p.
2. Online Statistics Education: An Interactive Multimedia Course of Study. [tiešsaiste]. [skatīts 30.01.2013.] Pieejams: http://onlinestatbook.com/2/index.html |
|
| Further reading | |
| 1. Sacks J., Welch W.J., Mitchell T.J., and Wynn H.P. Design and analysis of computer experiments. Statistical Science, 1989. 435 p.
[skatīts 11.02.2013.] Pieejams: http://www.stat.osu.edu/~comp_exp/jour.club/Sacks89.pdf 2. Engineering Statistical Handbook. [tiešsaiste]. [skatīts 30.01.2013.] Pieejams: http://www.itl.nist.gov/div898/handbook/pri/section3/pri3.htm |
|