Unit convenor and teaching staff |
Unit convenor and teaching staff
Co Unit Convenor / Lecturer
Stephanie Brooks
Contact via Email
Co Unit Convenor / Lecturer
Geoff Brianton
Contact via Email
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
Admission to MAppFin or MAppFin(Adv) or GradCertFin
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit provides the important building blocks in microeconomic and quantitative analysis required for advanced study in applied finance. Microeconomic analysis develops tools in demand and supply and critically applies these to the consumer and the firm. It concludes with an analysis of market structure. The second part of the unit develops quantitative skills that are used in finance, including descriptive statistics, probability, statistical inference, correlation and regression analysis. Spreadsheets are extensively used in statistical modelling.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Name | Weighting | Hurdle | Due |
---|---|---|---|
Assessed Coursework | 55% | No | In iLearn |
Online Participation | 15% | No | In iLearn |
Final Examination | 30% | No | Exam week |
Due: In iLearn
Weighting: 55%
Summary of Assessment Task
Individual / Group: Individual.
Description: You will be required to participate in a variety of assessment tasks for Economic Analysis and Quantitative Analysis. These will include written activities, online quizzes and project based learning. Details of the assessments can be found in iLearn.
Due Dates: See iLearn for due dates.
Grading Method: Refer to Assessment Summary in iLearn.
Submission Method: Online via iLearn.
Extension Requests:
Due: In iLearn
Weighting: 15%
Summary of Assessment Task
Individual / Group: Individual.
Due Dates: See iLearn for due dates.
Timing: Online discussions and tasks will be conducted during the term. You are required to participate actively in these forums, and your contributions will be assessed.
Grading Method: Refer to Assessment Summary in iLearn.
Submission Method: Online via the unit's iLearn site.
Extension Requests:
Due: Exam week
Weighting: 30%
Summary of Assessment Task
Individual / Group: Individual.
Due Date: See iLearn for due dates.
Grading Method: Refer to Assessment Summary in iLearn.
Submission Method: The final exam will be an open book online exam submitted in iLearn.
Duration: 3 hours.
Examination Conditions:
Extension Requests:
Required Text:
The required textbooks for this unit are:
Details on the eBook (a VitalSource eText) can be found at: https://www.cengagebrain.com.au/shop/isbn/9780170380096
It is recommended that students purchase the text with the Coursemate option.
Additional Readings:
Assumed Knowledge: Mathematical content
Assumed Access: Access to a computer with word processing and spreadsheet capability is assumed, as is general student computer literacy. In particular, students need access to a version of Microsoft Excel which includes regression analysis.
This is an online unit which will make use of the University's iLearn system.
Unit's iLearn Site:
Important Notice:
The following schedule is a guide to the timing of each topic. Details of the required readings are provided in iLearn.
Week | Topic |
Date when you should have started working on this topic |
1 | Topic 0: Essential pre-work | 17 June 2019 |
2 | Topic 1: Key concepts, supply & demand model | 24 June 2019 |
3 | Topic 2: Market analysis & elasticity | 1 July 2019 |
4 | Topic 3: Cost curves & the competitive market | 8 July 2019 |
5 | Topic 4: Market structures | 15 July 2019 |
6 | Topic 5: Descriptive statistics | 26 July 2019 |
7 | Topic 6: Probability & random variables | 5 August 2019 |
8 | Topic 7: Statistical estimation & inference | 12 August 2019 |
9 | Topic 8: Correlation, regression & indices | 19 August 2019 |
10 | Complete assessment tasks | 26 August 2019 |
11 | Exam preparation | 26 August 2019 |
12 | Exam week | Saturday 31 August - Sunday 1 September |
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This graduate capability is supported by:
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