•      About OUHK     

  •      Admissions     

  •      Academics     

  •     Administration    

  •      Library     

  •     Research    

  • Registration

     Credit exemptions  Finances
    Applied Probability Models for Decision Making
    MATH S350
      More information: Course Guide
    Applied Probability Models for Decision Making
    Course Start Date
    Aut 2020
    Course Level
    Length in Terms
    2 terms
    Fees ($) (including lab fees)
    Future Terms
    Spr 2022
    Start Date
    Course Level Length in Terms Credits
    Fees ($)
    (including lab fees)
    Future Terms
    Aut 2020
    Higher 2 terms 10
    Spr 2022

    Course Coordinator: Dr CF Chu, BEng, MPhil, PhD (CUHK)

    This is a higher-level course about the application of probability to modeling real-life situations. The emphasis in the course is on modeling practical situations and developing the properties of the models. Since this is a higher-level mathematics course, you will be expected to have fluency in mathematical manipulation. Some new mathematical techniques are introduced and taught in the course. MATH S350 is one of the compulsory higher-level courses for BSc and BSc (Hons) in Statistics and Decision Science programmes, and an optional course for BSc and BSc (Hons) in Mathematical Studies programme.

    This course is also suitable for any learner who wishes to pursue further studies in more sophisticated probability models in order to enhance their career prospects in the areas of medical sciences, demographics, finance and engineering.

    Advisory prerequisite(s)
    You are advised to have already studied MATH S245/MATH S246/MATH S248/MATH S280.

    This course aims to:

    • Introduce the advanced probability theory and some advanced stochastic and deterministic models, and their application to solving problems of decision science;

    • Enable students to understand the theory and methods for decision analysis under uncertainty, to appreciate the use of expert judgment and the value of information in decision-making, and to apply this information in industrial and financial areas;

    • Teach students to set up probability models for real situations such as changing population sizes, queues, epidemics and events occurring in space, and the investigate the properties of these models using a variety of mathematical techniques.

    The course covers the following topics:

    • Random processes

    • Patterns in space

    • Branching processes

    • Random walks

    • Markov chains

    • Birth processes

    • Birth and death processes

    • Queues

    • Epidemics

    • Population models

    • Decision analysis

    • Renewal models

    Learning support
    There will be 12 two-hour tutorials and four surgeries throughout the course.

    There are four assignments (from which the best three scores will be used to determine the final grade) and a final examination. Students are required to submit assignments via the Online Learning Environment (OLE).

    Online requirement
    This course is supported by the Online Learning Environment (OLE). You can find the latest course information from the OLE. Through the OLE, you can communicate electronically with your tutor and the Course Coordinator as well as other students. To access the OLE, students will need to have access to the Internet. The use of the OLE is required for the study of this course and you can use it to submit assignments.

    Set book(s)
    There are no set books for this course.

    Student with disabilities or special educational needs
    The audio and visual components of this course may cause difficulties for students with a hearing or visual impairment. You are encouraged to seek the advice from the Course Coordinator before enrolling in the course.

    Accessibility | Privacy policies | Terms and policies | Webmaster
    © 2019 by The Open University of Hong Kong. All Rights Reserved.
    Site Map Site map
    About OUHK
    President's Message
    Vision & Mission
    Strategic Plan
    Governance & Organization
    Principal Officers
    Honorary Graduates & University Fellows
    Facts & Figures
    School of Arts and Social Sciences
    Lee Shau Kee School of Business and Administration
    School of Education and Languages
    School of Nursing and Health Studies
    School of Science and Technology
    Li Ka Shing Institute of Professional and Continuing Education (LiPACE)
    Educational Technology and Development Unit
    Facilities Management Unit
    Finance Unit
    Human Resources Unit
    Information Technology Unit
    Mainland and International Affairs Office
    OUHK Shenzhen Office
    Public Affairs Unit
    Quality Assurance Office
    Research Office
    Student Affairs Office
    Research Postgraduate Programmes
    Postgraduate Programmes
    Postgraduate Programmes (Part-time)
    Undergraduate Programmes
    Undergraduate Programmes (Part-time)
    Sub-degree Programmes
    Sub-degree Programmes (Part-time)
    Continuing Professional Development (CPD) Programmes
    Programmes from LiPACE
    Annual Review 2017-2018
    Choose your study programme
    Events Calendar
    Giving to OUHK
    Information for
    Prospective Students
    Current Students
    Jockey Club Home Health Watch Programme
    Media coverage
    Motto: Disce, Progredere, Crea
    Open Learning Resources
    iTunes U
    Knowledge for All
    OUHK Great Speakers Series
    Privacy policies
    Terms and policies
    Research Office (RO)
    RGC Funded Projects
    Institutional Repository
    Other Funded Research Projects
    Staff Publications
    Research Degree Programmes
    External Research Funding
    Internal Research Funding
    External Funding for Development Project
    Site Search
    Social Media
    YouTube Channel
    Student Life & Support
    Students' Achievements
    Switch on to e-materials
    Useful Information
    Adverse weather arrangements
    Campus location
    Job Openings
    Contact us
    Telephone: (852-2711-2100)
    Facsimile: (852-2715-0760)
    Email: info@ouhk.edu.hk
    View the videos of Full-time Face-to-face Undergraduate Programme selected seminars
    Web for All
    Back To Top