Trosolwg
Mae'r Athro Yuan yn aelod o staff yn Adran Fathemateg Prifysgol Abertawe.
Mae'r Athro Yuan yn aelod o staff yn Adran Fathemateg Prifysgol Abertawe.
The module is an introductory course on applied statistics. It will cover a variety of statistical tests, criteria for choosing appropriate tests, and the use of statistical software in dealing with large data sets.
An introduction to fundamental probabilistic concepts and methods such as probability spaces, expectation and variance of random variables, independence, law of large numbers.
The module will introduce students to section 3 of the Institute and Faculty of Actuaries CS2 syllabus. This module serves as an introduction to the theory of Markov processes, in both discrete and continuous times. A special attention is drawn to the theory of Markov chains and Markov jump processes (including the Poisson process) and their applications.
A research project selected from an area of expertise of a member of staff in the Department of Mathematics. It will enable the students to develop an enquiring, analytical critical and creative approach to problem identification and solution. The project will typically focus on a subject area related to one of the taught modules in the MSc scheme.
A research project selected from an area of Actuarial Science. It will enable the students to develop an enquiring, analytical critical and creative approach to problem identification and solution. The project will typically focus on a subject area related to one of the taught modules in the MSc scheme.
A research project selected from an area of Applied Data Science. It will enable the students to develop an enquiring, analytical critical and creative approach to problem identification and solution. The project will typically focus on a subject area related to one of the taught modules in the MSc scheme.
The module will introduce students to section 3 of the Institute and Faculty of Actuaries CS2 syllabus. This module serves as an introduction to the theory of Markov processes, in both discrete and continuous times. A special attention is drawn to the theory of Markov chains and Markov jump processes (including the Poisson process) and their applications.
2003 - 2004
2004 - 2008
2008 - 2011
2011 - 2016
2016 - Presennol
2017-presennol: Golygydd Cyswllt, Nonlinear Analysis: Hybrid Systems
2019-presennol: Golygydd Cyswllt, Numerical Algorithms
2019-presennol: Golygydd Cyswllt, Discrete & Continuous Dynamical Systems
2019
Prifysgol Jilin, Changchuan, Tsieina
2018
Prifysgol Sichuan, Chengdu, Tsieina
2018
Prifysgol Minnesota
2018
Prifysgol Bielefeld
2017
Prifysgol Bielefeld
2017
Prifysgol Wuhan, Wuhan, Tsieina
2016
Beijing Normal University, Beijing, Tsieina
2016
Tu Dresden, Dresden
2016
Jiangsu Normal University, Xuzhou, Tsieina