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  • Events
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    Short Course: Uncertainty Quantification and Inverse problems
    2019-12-05   審核人:

    Short Course: Uncertainty Quantification and Inverse problems

    Location: A817, School of Aeronautics

    Time: 27th, Nov, 9:00-12:00 14:30-17:30

    Reporter: Richard P. Dwight from TU Delft

    Invited by: Prof. Zhonghua Han

    Sponsored by: The overseas Expertise Introduction Center for Discipline Innovation on Complex Flow and Its Control (the 111 Center), School of Aeronautics

    Abstract: This course is a short introduction to the field of uncertainty quantification, with emphasis on techniques for model calibration and large-scale inverse problems with the Bayesian framework.  Lectures are complemented by 3 tutorial exercises in Python, which exploit the theory learned. Prerequisites are: (1) a first-course on probability/statistics (though this material will be briefly refreshed in the first lecture), (2) experience with Python (and numpy) programming would be very beneficial for the tutorials. If 1) is missing I recommend reading Chapter 4 of the textbook Ralph C. Smith "Uncertainty Quantification" in advance of the course.

    Schedule:

     

    Time

    Arrangement

    27th, Nov

    9:00-10:00

    Lecture 1: Introduction to UQ and its relevance in aerospace

    10:30-12:00

    Lecture 2: Bayesian approaches to regression problems

    14:30-17:30

    Lecture 3: Large-scale stochastic inverse problems with high-dimensional randomness (and random fields)

     

     

     

    Introduction of Prof. Dwight:

    Professor Richard P. Dwight received his Ph.D. from the University of Manchester in 2006, worked as an associate professor in the Department of aerodynamics at the school of Aerospace Engineering, Delft University of technology since 2009, and as a visiting professor at the Centrum voor Wiskunde en Informatica (CWI) in The Netherlands since 2017. Professor Richard P. Dwight has made great achievements in computational fluid dynamics, machine learning, aerodynamic design optimization, surrogate-based optimization method, adjoint method, uncertain optimization method and other fields.

    Contact:

    Name: Fei Liu

    Phone: 18729537605

    Wechat: ltwbtf

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    Tel: +86-29-88493671
    Email: zheng2014@nwpu.edu.cn
    Copyrights 2019 School of Aeronautics Technical support: Zhao YouGuo
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