•      About OUHK     

  •      Admissions     

  •      Academics     

  •     Administration    

  •      Library     

  •     Research    

  • Registration

    STAT S822F
    Research Project in Quantitative Analysis and Management Science
    STAT S822F
    Research Project in Quantitative Analysis and Management Science
    Course Start Date
    Aut 2021
    Course Level
    Length in Terms
    2 terms
    Fees ($) (including lab fees)
    Future Terms
    Aut 2022
    Quota and Schedule
    Start Date
    Course Level Length in Terms Credits
    Fees ($)
    (including lab fees)
    Future Terms
    Aut 2021
    Postgraduate 2 terms 20
    Aut 2022

    Course Coordinator: Dr. Andrew WU Ho Chun, BEng (Hons) UNSW, MSc (EEE) HKU, PhD HKU MIEEE, MIET

    This course is a project course in the Master of Science in Quantitative Analysis and Computational Mathematics. You will work under the supervision of a lecturer who will guide you throughout the project. This course integrates the core ideas of statistics and mathematics as they apply to the use of quantitative models to represent real-world problems. The process of mathematically modelling the real world will form part of your study. This research project is an interdisciplinary study of problem solving and decision making with strong links to economics, business, engineering, financial analysis, and other sciences disciplines. You will use various scientific research-based principles, strategies, and quantitative methods including statistical and mathematical modelling, numerical analysis, etc. You will work in groups to create quantitative models and to complete related modelling activities. If the extent of your knowledge is perceived to be inadequate for you to pursue the course efficiently, you may be required to complete a specified course of study prior to undertaking STATS 822F. Check with the Course Coordinator to make sure that you are sufficiently prepared before enrolling in the course.

    This course aims to:

    1. Provide an opportunity for students to apply their previously acquired quantitative skills to a student-initiated research project in the area of management science.

    2. Prepare students to devise a set of objectives for the project and develop an appropriate methodology and model(s)to analyze real-life problems;

    3. Create an environment in which students will demonstrate their ability to:
      • identify problems from a given area of study and apply realistic strategies or approach to resolve and improve them;
      • select relevant quantitative tools and information from previous knowledge and experience to tackle the specific project issues;
      • derive a range of strategic developments and planning processes, and set up appropriate methods and models for solving problems;
      • integrate research findings in a structured way.

    The course has no conventional course materials. You may be required to read certain scientific materials available in journals and reference books recommended by the supervisor. This course will enable you to solve real-life problems using quantitative models and analysis, and then to use the corresponding research output to draw appropriate conclusions. You may also choose to conduct a work-related project. Each project must, however, be appraised by the Statistics and Mathematics course team for its technical content, availability of supervisory support and appropriate lab facilities before it can be approved.

    Learning support
    There will be a number of three-hour PC Laboratory sessions spread throughout the course. The study time is expected to be 300 hours, but because of the stop-start nature of the project work it is inevitable that you will take more time or less time than this. The lectures are pedagogically designed to help you formulate/model your self-initiated problems and document your project findings. You will be assigned a project supervisor, and you should schedule regular meetings with him/her. You will be required to learn some specific techniques independently with minimal guidance from the supervisor.

    There is no formal examination in this course. In order to complete the course assessments, you are required to complete various modelling activities and three reports:

    • Modelling activities: A group of students work together on a modelling problem while developing the skills of collective problem-solving.

    • Project proposal: This should define the project proposal and project background, and include a literature review. A detailed project plan should also be created.
    • Interim report: This should outline progress made and elaborate on the project plans and methods of investigation. A brief outline of the final report should also be given.
    • Final report: This should give full details of the project results, conclusions and the importance of these conclusions.
    • Project presentation: There is also a project presentation at the end of the course, which will be counted towards the continuous assessment portion of the course.
    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 and the assessment of this course.

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

    Students with special educational needs
    Depending on the nature of the project, a particular special educational need may affect the ability of the student to successfully and efficiently carry out the project. Students are requested to seek the advice of the Course Coordinator before enrolling in the course.

    Accessibility | Privacy policies | Policy on Equal Opportunities | Terms and policies | Webmaster
    © 2022 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 School of Professional and Continuing Education (LiPACE)
    Office for Advancement of Learning and Teaching
    Finance and Facilities Management 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