Course Outline: (Click Icon to download !!) (Last update on: 21 June 2021) |
Key facts for Summer 2021:
Date: | 5 whole day sessions (30 Hours) 4, 11, 18, 25 September, 2, 9* October 2021 |
|
Time: | 9:30am - 12:30pm; 2:00pm - 5:00pm | |
Teaching Platform: | Face to Face (The Chinese University of Hong Kong) # | |
Enrollment: | 30 | |
Expected applicants: | Students who are promoting to or studying S4-S5 (with background in physics, chemistry or mathematics) |
|
Tuition Fee: | HKD 3,900.00 Students who have attended all sessions will be granted a HKD 1000 scholarship |
|
Lecturer: | Prof. YAU Chun Yip |
|
* This date is reserved for make-up classes in case there is any cancellation of classes due to unexpected circumstances. # This course is only offered face-to-face lessons at CUHK campus. |
Introduction:
The uncertainty in an event or an activity is known as risk. Risks are encountered in trivial events such as travelling and in professional activities such as business partnership. We take risk every day. This course provides a broad perspective on both current practices and mathematical theories of risk management. Topics include qualitative and quantitative classifications of risks, mathematical modelling of financial markets and derivatives, current financial issues and crises, and statistical analysis of financial data, mathematics of insurance and Actuarial Science. This course is designed for the students who are interested in the scientific and mathematical aspects of risk management, financial market and actuarial science.
任何事件或活動的不確定性皆可視為風險。我們於日常中會遭遇到各項大大小小的風險。小如平日生活之衣食住行、大如商業之投機活動,風險總是伴隨左右。本課程為風險管理的實際應用和數學理論提供廣泛概要。本課程涵蓋範圍包括:風險的質化與量化分類,金融市場與衍生產品的數學建模,現今金融的課題與危機,金融數據的統計分析,保險數學與精算。本課程為有興趣於風險管理,金融市場或精算學之數理概念的同學而設。
Organising units: |
|
|
Category: | Category I – University Credit-Bearing | |
Learning outcomes: | Upon completion of this course, students should be able to: | |
|
||
Learning Activities: |
|
|
Medium of Instruction: | Cantonese supplemented with English | |
Assessment: |
|
|
Recognition: | No. of University unit(s) awarded: 1 * Certificate or letter of completion will be awarded to students who attain at least 75% attendance and pass the assessment (if applicable) |
|
Expected applicants: | Good knowledge in S4 to S5 mathematics, knowledge in economic is preferable but not necessarily. | |
Organising period: | Summer 2016; Summer 2017; Summer 2018; Summer 2019; Autumn 2020; Autumn 2021 | |
Application method: | SAYT Online application |