Quantitative Methods in Commerce (11165.3)

Please note these are the 2024 details for this unit
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Quantitative Methods in Commerce
Available teaching periods Delivery mode Location
View teaching periods On-Campus
Online
 UC College, Bruce, ACT
Bruce, Canberra
EFTSL Credit points Faculty
0.125 3 Faculty Of Business, Government & Law
Discipline Study level HECS Bands
Canberra Business School Level 1 - Undergraduate Introductory Unit Band 1 2021 (Commenced After 1 Jan 2021)
Band 1 2021 (Commenced Before 1 Jan 2021)
This unit is designed to provide basic quantitative skills which are an essential foundation to decision-making and professional advice in a range of business situations. Upon completion of this unit students should be able to apply the quantitative tools presented so that they are able to analyse, understand, explain and evaluate data related to market events, government policies and business decision-making. The unit content includes working with equations and graphs, quantitative research principles in collecting, summarising and displaying business data, index numbers, relations in quantitative and categorical data, measures of association, regressions, elementary probability concepts, the normal distribution and its business applications. Students will carry out these techniques manually and/or through spreadsheets.

Learning outcomes

After successful completion of this unit, students will be able to:
1. Demonstrate the ability to solve a range of business problems by synthesising, organising, analysing and interpreting data;
2. Clearly communicate to stakeholders the implications of the results of various techniques applied. Identify and articulate the potential impacts of assumptions made and limitations of the techniques;
3. Demonstrate how the techniques covered in the unit can be used to assist in solving problems in business, economics and finance;
4. Explain how data is sampled, collected and presented using a range of summary measures;
5. Select appropriate quantitative techniques to resolve unfamiliar problems in business, finance and economics; and
6. Apply forecasting methods in business, economics and finance problems.


Graduate attributes

1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - communicate effectively
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems


Prerequisites

None.

Corequisites

None.

Incompatible units

None.

Equivalent units

5123 Business Statistics

Assumed knowledge

Basic mathematics approximately to Year 10 standard.
Availability for enrolment in 2025 is subject to change and may not be confirmed until closer to the teaching start date.
Year Location Teaching period Teaching start date Delivery mode Unit convener
2024 UC College, Bruce, ACT UC College Trimester 1 05 February 2024 On-Campus Mr Saeed Uz Zaman Khan
2024 Bruce, Canberra Semester 1 05 February 2024 Online Dr Jinjing Li
2024 Bruce, Canberra Semester 1 05 February 2024 On-Campus Dr Jinjing Li
2024 Bruce, Canberra Semester 2 29 July 2024 On-Campus Dr Jinjing Li
2024 Bruce, Canberra Semester 2 29 July 2024 Online Dr Jinjing Li
2024 UC College, Bruce, ACT UC College Trimester 3 23 September 2024 On-Campus Mr Saeed Uz Zaman Khan
2025 UC College, Bruce, ACT UC College Trimester 1 03 February 2025 On-Campus Mr Saeed Uz Zaman Khan
2025 Bruce, Canberra Semester 1 03 February 2025 On-Campus Dr Jinjing Li
2025 Bruce, Canberra Semester 1 03 February 2025 Online Dr Jinjing Li
2025 Bruce, Canberra Semester 2 28 July 2025 Online Dr Jinjing Li
2025 Bruce, Canberra Semester 2 28 July 2025 On-Campus Dr Jinjing Li
2025 UC College, Bruce, ACT UC College Trimester 3 15 September 2025 On-Campus Mr Saeed Uz Zaman Khan
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit timetable.

Required texts

Main textbook (recommended):

               Title: Business Analytics and Statistics, 2nd Edition

               Publisher: John Wiley and Sons Australia

               Author: Black et al

               ISBN: 9781394189670

Recommended reference:

              Title: Business Analytics and Statistics Abridged Australia/New Zealand, Edition 8

              Publisher: Cengage Learning Australia

              Author: Selvanathan et al

              ISBN-10: 0170439542 or ISBN-13: 9780170439541

Submission of assessment items

Special assessment requirements

Final grades in this subject will be assessed according to performance in each of the assessment items identified above. In order to pass this unit, you must obtain:

  • an overall total score of at least 50% AND
  • submit all assessment items marked as mandatory AND
  • obtain a minimum of 40% in the final exam.

For assessment items marked as mandatory, each piece of assessment must be completed and submitted, but  it is not necessary that students pass each individual item of assessment unless otherwise stated.

Use of AI is not permitted in this unit.

The University's position is that artificial intelligence services must not be used for assessment or assessment preparation by students unless explicitly allowed in the assessment instructions for an assessment task published with the assessment task and/or in the unit outline. That is, an AI service may only be used if:

a) its use is authorised by the unit convener as part of the specified task; and
b) it is used in the way allowed in the assessment instructions and/or unit outline; and
c) its use is appropriately referenced, meaning that the students must reference the use of AI in their assessment in the same way as they reference other source material.

The use of AI has not been specified in the assessment instructions for the unit or in the unit outline and thus, AI is not a permissible resource.

Academic integrity

Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.

To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.

Use of Text-Matching Software

The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.

Participation requirements

Students are highly encouraged to attend all academic sessions. Attendance and active participation will enhance your understanding of the unit content and, therefore, the quality of your assessment responses. A lack of participation may result in an inability to satisfactorily pass assessment items

Required IT skills

Excel (Windows) and computer literacy. Additionally, this unit may involve the use of Virtual Room in your UCLearn teaching site. The Virtual Room allows you to communicate in real time with your lecturer and other students. To participate verbally, rather than just typing, you will need a microphone. For more information and to test your computer, go to the Virtual Room in your UCLearn site and 'Join Course Room'. This will trigger a tutorial to help familiarise you with the functionality of the virtual room.

Work placement, internships or practicums

None

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