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Unit outline_

ECOS4207: Economics Project B

Semester 2, 2022 [Normal day] - Camperdown/Darlington, Sydney

In this unit students will be presented with a research question in economics based on a real-world problem or issue. Initially, the research problem will be presented by the instructor or a guest lecturer. Supporting lectures will be delivered on appropriate theoretical concepts and quantitative methods required to conduct the research. Students will interact with the instructor to define the detail of the research problem, the approach for analysis and feedback on their work. Following this, students will construct a detailed literature review, collect and analyse data, and present the research results in written form.

Unit details and rules

Academic unit Economics
Credit points 6
Prerequisites
? 
ECOS4206
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Shauna Phillips, shauna.phillips@sydney.edu.au
Lecturer(s) Shauna Phillips, shauna.phillips@sydney.edu.au
Type Description Weight Due Length
Presentation Project Presentation
Students will present the results of their research project
20% Week 12
Due date: 28 Oct 2022 at 12:00
15 minutes
Outcomes assessed: LO1 LO5 LO4 LO3 LO2
Assignment Final Research Paper
Written research paper
80% Week 13
Due date: 04 Nov 2022 at 23:59
4,000 words
Outcomes assessed: LO1 LO2 LO3 LO4 LO5

Assessment summary

Project presentation – delivery of PowerPoint presentation of research results. Final report – academic journal article format of research results.

Assessment criteria

Result name Mark range Description
High distinction 85-100  
Distinction 75-84  
Credit 65-74  
Pass 50-64  
Fail 0-49  

 

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Work not submitted on or before the due date is subject to a penalty of 5% per calendar day late. If work is submitted more than 10 days after the due date the mark will be 0.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Unit of study introduction and econometric revision Lecture (2 hr) LO1 LO2 LO3 LO4
Week 02 How to present research results Lecture (2 hr) LO1 LO3 LO4
Week 05 Student research progress presentations Presentation (3 hr) LO1 LO2 LO3 LO4
Week 12 Student presentations of research project results Presentation (3 hr) LO1 LO2 LO3 LO4 LO5
Week 13 Student presentations of research project results Presentation (3 hr) LO1 LO2 LO3 LO4 LO5

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

There are no prescribed textbooks for this unit. Students are expected to read across the academic literature relevant to their research.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. apply economic principles to analyse real-world problems
  • LO2. critically review relevant literature
  • LO3. apply appropriate quantitative techniques to generate and interpret results for research problems
  • LO4. communicate academic research in a written context
  • LO5. identify strengths and weaknesses in applied research as well as further research questions that may arise from research results

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

The unit has been improved according to student feedback

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.