Quantitative Analysis

RMIT University Vietnam

Course Description

  • Course Name

    Quantitative Analysis

  • Host University

    RMIT University Vietnam

  • Location

    Ho Chi Minh City, Vietnam

  • Area of Study

    Accounting, Economics, Finance

  • Language Level

    Taught In English

  • Prerequisites

    Pre-requisite Courses and Assumed Knowledge and Capabilities

    Business Statistics 1 (ECON1030/ECON1193/ECON1035 or an equivalent offering code)

    Hours & Credits

  • Host University Units

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • Overview

    Course Description

    The focus of this course is the application of mathematical techniques to problems in the areas of accounting, economics and finance. In this course you will learn the underlying maths of many of the formulas used in finance, accounting and economics.

    Broadly speaking this course will enable you to identify, apply, solve and interpret many of the quantitative problems related to the aforementioned areas above.

    This course includes a Work Integrated Learning (WIL) experience in which your knowledge and skills will be applied and assessed in a real or simulated workplace context and where feedback from industry and/or community is integral to your experience.


    Objectives/Learning Outcomes/Capability Development

    On successful completion of this course you will be able to:

    • Understand how an accountant, an economist or a manager can use quantitative techniques to help them make better informed decisions.
    • Understand many of the mathematical aspects related to the areas of economics, finance & accounting.
    • Solve problems in the areas of financial mathematics, calculus, multi-variable calculus, and matrix algebra.
    • Critically analyse statistical findings published by the media, research agencies and the Government to validate and verify its accuracy.
    • Undertake independent statistical analysis to make informed decisions and provide advice accordingly in professional and non-professional contexts.
    • Communicate statistical findings and results in a professional manner to a non-technical audience including decision makers, stakeholders and the general public.


    Overview of Learning Activities

    In this course you will be encouraged to be an active learner. Your learning will be supported through various in-class and online activities comprising individual and group work. These may include quizzes; assignments; prescribed readings; sourcing, researching and analysing specific information; solving problems; conducting presentations; producing written work and collaborating with peers on set tasks or projects.

    • You are required to participate in various learning activities. These activities comprise of, but not limited to the following:
    • Attendance and note-taking during scheduled lectures.
    • Reading and note-taking from prescribed and recommended text books and other references.
    • Attendance and participation in tutorial classes.
    • Consultation with academic staff during scheduled office hours.
    • Participation in individual learning activities including regular accessing of Learning Hub information.


    Overview of Learning Resources

    Various learning resources are available online through myRMIT/Blackboard. In addition to topic notes; assessment details and a study schedule you may also be provided with links to relevant online information; readings; audio and video clips and communication tools to facilitate collaboration with your peers and to share information.

    Resources are also available online through RMIT Library databases and other facilities. If you require assistance with the RMIT library facilities contact the Business Liaison Librarian for your school. Contact details for Business Liaison Librarians are located online on the RMIT library website.

    Additional resources and/or sources to assist your learning will be identified by your course coordinator will be made available to you as required during the teaching period.


    Overview of Assessment

    The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows:

    Assessment Task 1: 25%
    Linked CLOs: 1, 2, 5

    Assessment Task 2: 25%
    Linked CLOs: 1, 3, 4, 5, 6

    Final Exam: 50%
    Linked CLOs: 1, 2, 3, 4

    Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and by individual consultation.


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