3–7 Jul
03–07/07/2017

PARAMetric UNCertainty Summer School and Workshop Budapest

 

We are pleased to invite you all to the Summer School and Workshop: Bridging the Gap Between Engineering, Mathematics and Computational Science - Uncertainty Quantification, Parameter Identification, and Challenges in Engineering Computations.

Recommended particularly to Ph.D. and advanced master’s students, engineers, and researchers with civil/mechanical/chemical engineering or computer science background. Application oriented physicists and mathematicians are also welcome.

Attendance by registration.

Schedule

Addressed topics of the summer school (BME, 3-5 July, 2017): 
General theoretical background of uncertainty quantification and parameter identification
- basics of probability theory
- advanced methods for uncertainty quantification and the analysis of the propagation of uncertainties and global sensitivities
- parameter identification via probabilistic approaches
Practical implementation using SGLIB, an open source MATLAB library package
Specialized topics:

- fragility assessment
- parametric unce rtainty in multiscale analysis
- optional topics from different fields selectable from the plenary lectures of the workshop

Addressed topics of the workshop (SZTAKI, 6-7 July, 2017)
- parametric problems in engineering
- uncertainty quantification
- sensitivity analysis
- inverse methods,optimization
- reliability analysis
- machine learning and data mining in engineering
- high dimensional problems: model reduction, low-rank representation
- robust control

Further information here.

Add to calendar 2017-07-03 2017-07-07 UTC PARAMetric UNCertainty Summer School and Workshop Budapest We are pleased to invite you all to the Summer School and Workshop: Bridging the Gap Between Engineering, Mathematics and Computational Science - Uncertainty Quantification, Parameter Identification, and Challenges in Engineering Computations. Recommended particularly to Ph.D. and advanced master’s students, engineers, and researchers with civil/mechanical/chemical engineering or computer science background. Application oriented physicists and mathematicians are also welcome. - András Benczúr benczur.andras@sztaki.mta.hu

Responsible Department

Contact

Email
benczur.andras@sztaki.mta.hu
Phone
+36 1 279 6172