- To have the insights related to properties of various statistical models and their physical applications, and establish statistical models using the principle of statistical inference.
- To be familiar with different techniques within probabilistic analysis, including Monte Carlo simulations and transformation of variables.
- To be able to process signals in both frequency and time domains and carry out data analysis including digital filtering and Fourier analysis.
- To be able to establish the equations of motions for dynamic systems and solve the motions in both frequency and time domains.
- To understand the important phenomenon in dynamic responses of simple systems, including impact loadings and resonant motions.
Required prerequisite knowledge
|Written exam||1/1||4 hours||A - F|
Five exercises must be submitted and approved in order to be eligible to take the exam.
- Course coordinator
- Muk Chen Ong
- Course teacher
- Lin Li , Yihan Xing , Charlotte Obhrai
- Head of Department
- Tor Henning Hemmingsen
Method of work
Last updated: 07.08.2020