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Quantitative Methods in Commerce G (11405.1)

Level: Graduate Level
Credit Points: 3
HECS Bands:

Band 1 2021 (Commenced After 1 Jan 2021) Band 1 2021 (Commenced Before 1 Jan 2021) Band 2 2013-2020 (Expires 31 Dec 2020)

Faculty: Faculty of Business, Government & Law
Discipline: School of Information Systems & Accounting

Availability

    Unit Outlines

    To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.

    • Semester 1, 2021, FLEXIBLE, BRUCE (203961) - View
    • Semester 2, 2020, ON-CAMPUS, BRUCE (197905) - View
    • Semester 1, 2020, ON-CAMPUS, BRUCE (197904) - View
    • Semester 2, 2019, ON-CAMPUS, BRUCE (190652) - View
    • Semester 1, 2019, ON-CAMPUS, BRUCE (190336) - View

    If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.

    Syllabus

    This unit highlights the importance of mathematical and statistical methods and tools for today's managers and analysts, and demonstrates how to apply these methods to business problems using real-world data. The quantitative skills that students learn in this unit are useful in all areas of business. Students learn how to model and analyse relationships within business data; how to identify appropriate statistical techniques; how to compute statistics by calculator and Microsoft Excel; how to interpret results in the context of the business problem; and how to forecast using business data. The unit is taught through data-driven examples, exercises and business case studies. The unit content includes working with equations and graphs of straight lines, linear programming, quantitative research principles in collecting, summarising and displaying business data, index numbers, relations in categorical data, measures of association, fitting straight lines, elementary probability concepts, the normal distribution and its business applications.

    Learning Outcomes

    Upon successful completion of this unit, students will be able to:

    1. Demonstrate an ability to solve a range of business problems by firstly synthesising, organising data, then analysing plus interpreting data and information in relation to specific topics, including discounted cash flows and linear programming problems with at least 2 dimensions;

    2. Clearly communicate to stakeholders the implications of the results of various techniques applied, as well as being able to identify and articulate the potential impacts of assumptions made and limitations of the techniques;

    3. Explain how data is sampled, collected and presented using a range of summary measures;

    4. Identify problems within real-world constraints and collect data for business decision making;

    5. Create statistical models for studying relationship among business variables;

    6. Demonstrate an ability to select appropriate techniques when dealing with unfamiliar problems in business, finance and economics, as well as structure a given problem scenario in a way that allows solution via appropriate techniques; and

    7. Demonstrate the application of forecasting method. Students will also be able to articulate the impacts of the assumptions behind, and limitations of, these models.

    Assessment Items

    Contact Hours

    Two 2 hour lectures and one 2 hour tutorial on campus per week.

    Prerequisites

    None.

    Corequisites

    None.

    Assumed Knowledge

    Basic mathematics approximately to Year 10 standard.

    Incompatible Units

    11165 Quantitative Methods in Commerce, 5123 Business Statistics

    Equivalent Units

    6275 Statistical Analysis & Decision Making G

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