MAE256 - Analytical Methods in Economics and Finance
Unit details
Year: | 2021 unit information |
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Important Update: | Unit delivery will continue to be provided in line with the most current COVIDSafe health guidelines. This may include a mix of on-campus and online activities. To find out how you are impacted, please check your unit sites for announcements and updates. Unit sites open one week prior to the start of each Trimester/Semester. Thank you for your flexibility and commitment to studying with Deakin in 2021. Last updated: 4 June 2021 |
Enrolment modes: | Trimester 1: Burwood (Melbourne), Warrnambool, Waterfront (Geelong), Online Trimester 2: Burwood (Melbourne), Online |
Credit point(s): | 1 |
EFTSL value: | 0.125 |
Previously coded as: | MAE356, MAF356 |
Unit Chair: | Trimester 1: Wenying Yao Trimester 2: Cahit Guven |
Prerequisite: | MAE101, MIS171, MAF101 |
Corequisite: | Nil |
Incompatible with: | MAE356, MAF256, MAF356 |
Typical study commitment: | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. |
Scheduled learning activities - campus: | 1 x 2 hour class and 1 x 1 hour seminar each week |
Scheduled learning activities - cloud: | Online independent and collaborative learning activities including 3 scheduled online seminars |
Content
This unit introduces students to advanced statistical techniques in finance, economics and business. At the completion of the unit, students will have an appreciation of the role of these advanced quantitative techniques in finance and economics, in business decision making, as well as in research.
ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
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ULO1 | Apply and interpret statistical methods relevant economic and finance data and research. | GLO1: Discipline-specific knowledge and capabilities |
ULO2 | Use software to analyse data within the realm of economics and finance and to carefully interpret statistical data analysis. | GLO3: Digital literacy |
ULO3 | Critically appraise the accuracy, sources and relevance of statistical data and models. | GLO1: Discipline-specific knowledge and capabilities |
ULO4 | Solve complex problems using quantitative methods. | GLO1: Discipline-specific knowledge and capabilities GLO5: Problem solving |
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
Assessment
Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
Assessment 1: (Individual) Online Multiple Choice Quiz (x2) | - | 20% (10% x 2) | Quiz 1: Week 5 Quiz 2: Week 9 |
Assessment 2: (Individual) Problem-based written assignment | 1500 words | 20% | Week 7 |
Examination (closed book) | 2-hours | 60% | Exam period |
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Hurdle requirement
Hurdle requirement: achieve at least 40% of the marks available on the examination
Learning Resource
The texts and reading list for the unit can be found on the University Library via the link below: MAE256 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
Unit Fee Information
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