Program Overview
ECON7010: Economics Research Dissertation A
Semester 1, 2022 [Supervision] - Remote
Overview
This is the first capstone unit in the MEcAnalysis. Students develop a detailed research proposal for a dissertation, which will be developed throughout Economics Research Dissertation B. Students are expected to take part in a research methods seminar series while receiving individual assistance from a specialist supervisor. This unit is assessed through the research and writing towards a 12,000 word dissertation, to be completed in Economics Research Dissertation B.
Unit Details and Rules
- Academic unit: Economics
- Credit points: 6
- Prerequisites: (ECON6001 or ECON6701) and (ECON6002 or ECON6702) and (ECON6003 or ECON6703) and (ECMT6002 or ECMT6702)
- Corequisites: None
- Prohibitions: ECON7030
- Assumed knowledge: None
- Available to study abroad and exchange students: No
Teaching Staff
- Coordinator: Suraj Prasad
Assessment
- Type: Dissertation
- Description: Thesis proposal
- Weight: 100%
- Due: Week 11, Due date: 13 May 2022 at 16:00
- Length: 3000 words
- Outcomes assessed: LO1
- Type: Creative assessment / demonstration
- Description: Proposal presentation
- Weight: 0%
- Due: Week 13, Due date: 26 May 2022 at 10:00
- Length: Approximately 20 minutes
- Outcomes assessed: LO1
Assessment Summary
Dissertation – please discuss with your supervisor
Assessment Criteria
The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).
- Result name: High distinction
- Mark range: 85 - 100
- Result name: Distinction
- Mark range: 75 - 84
- Result name: Credit
- Mark range: 65 - 74
- Result name: Pass
- Mark range: 50 - 64
- Result name: Fail
- Mark range: 0 - 49
- Description: When you don’t meet the learning outcomes of the unit to a satisfactory standard.
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.
Academic Integrity
The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.
- 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.
Learning Support
- 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.
- 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.
Weekly Schedule
- WK: Ongoing
- Topic: Consultation with supervisor
- Learning activity: One-to-one tuition (1 hr)
- Learning outcomes: LO1
Attendance and Class Requirements
- Attendance: According to Faculty Board Resolutions, students in the Faculty of Arts and Social Sciences are expected to attend 90% of their classes. If you attend less than 50% of classes, regardless of the reasons, you may be referred to the Examiner’s Board.
- Lecture recording: Most lectures (in recording-equipped venues) will be recorded and may be made available to students on the LMS.
- Preparation: Students should commit to spend approximately three hours’ preparation time (reading, studying, homework, essays, etc.) for every hour of scheduled instruction.
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.
Learning Outcomes
At the completion of this unit, you should be able to:
- LO1: conduct research.
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.
- GQ1: Depth of disciplinary expertise
- GQ2: Critical thinking and problem solving
- GQ3: Oral and written communication
- GQ4: Information and digital literacy
- GQ5: Inventiveness
- GQ6: Cultural competence
- GQ7: Interdisciplinary effectiveness
- GQ8: Integrated professional, ethical, and personal identity
- GQ9: Influence
Outcome Map
Learning outcomes | Graduate qualities ---|--- GQ1 | GQ2 | GQ3 | GQ4 | GQ5 | GQ6 | GQ7 | GQ8 | GQ9
Responding to Student Feedback
This section outlines changes made to this unit following staff and student reviews. N/A
Disclaimer
The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers. This unit of study outline was last modified on 04 Feb 2022.
