清华主页 EN
导航菜单

Mathematical History Course: From a Geometric Perspective

来源: 09-09

时间:19:20 - 20:55, Wed, 9/19/2022 - 12/12/2022

地点:Venue: The Third Floor Class Room of West Building, Jinchunyuan. Zoom: 293 812 9202 PW: BIMSA

主讲人: Lynn Heller (Research Fellow)

Record: No

Level: Undergraduate

Language: English


Prerequisite


Abstract

In this course we look at the life and work of some of the most influential Mathematicians including David Hilbert, Felix Klein, Emmy Noether and Bernhard Riemann. The aim is twofold. On the one hand, we would like to introduce the historical figures and convey the flavor of how Mathematics were conducted at that time, on the other hand, I would also like to show how (in a possibly modern interpretation) their work continue to be influencial today. Along the way we will also be encountering some specifics of the German culture and in particular the different educational and academic system.


Lecturer Intro

I was born in Wuhan and grew up in the little German town Göttingen, which was home to an extraordinary amount of great Mathematicians (and Nobel prize winners) including all the Mathematicians discussed in the course.   I studied economics at the FU Berlin and Mathematics at TU Berlin from 2003-2007 and obtained my PhD from Eberhard Karls University  Tübingen in 2012.  Thereafter, I stayed in Tübingen as a Postdoc till I got a Juniorprofessorship in 2017 at the Leibniz University in Hannover.


Lecturer Email: jing.yang.heller@googlemail.com

TA: Dr. Sangsan Warakkagun, sangsanw@bimsa.cn


返回顶部
相关文章
  • Mini Course on Wave Turbulence | Recent progress on mathematical theory of wave turbulence

    AbstractThe theory of wave turbulence is the statistical theory of interacting waves, or the wave analog of Boltzmann's kinetic theory. It started in the works of Peierls in the 1920s, and has had substantial developments in the 20th century, with significant applications in science. The mathematical study of this subject started with the early works of Spohn and Erdös-Yau et al. on linear mode...

  • Neural Networks: A Perspective from Numerical Analysis

    Speakery research focuses on mathematical analysis, algorithm development, and their applications in machine learning and scientific computing, spanning both data and physical sciences. My Ph.D. training was grounded in classical numerical methods for partial differential equations (PDEs), with a particular emphasis on finite element methods (FEM) and multigrid methods. Armed with this solid fo...