Course coordinator
Associate Professor Jacquelyn Humphrey
Course overview
- Study period
- Semester 1, 2025 (24/02/2025 - 21/06/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Business School
This course provides students with an opportunity to apply the tools and skills that they have developed over the course of the program to research. It involves a significant element of research and analysis, and students will be exposed to both industry and academic best practice in research.
Course requirements
Assumed background
This is a final year BAFE course.ﾠ Students are assumed to have sucessfully completed the first three years of the program.
Restrictions
Final year of BAdvFinEcon(Hons)
Course contact
Lecturer
Associate Professor Jacquelyn Humphrey
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
Please note: Teaching staff do not have access to the timetabling system to help with class allocation. Therefore, should you need help with your timetable and/or allocation of classes, please ensure you email business.mytimetable@uq.edu.au from your UQ student email account with the following details:
- Full name,
- Student ID, and
- the Course Code
Aims and outcomes
This course aims to provide you the tools and skills to critically evaluate research and apply those skills to applied research.
ﾠ
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Evaluate and analyse information relevant to applied research.
LO2.
Analyse financial data using state of the art research techniques.
LO3.
Critically evaluate existing studies.
LO4.
Analyse research by and relating to Indigenous peoples.
LO5.
Demonstrate effective oral presentation skills that showcase knowledge, verbal and non-verbal skills and professionalism.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Paper/ Report/ Annotation | Written critique of industry research | 15% |
11/04/2025 5:00 pm |
| Presentation |
Presentation and analysis of academic research method
|
20% |
31/03/2025 - 16/05/2025
During Tutorial Classes |
| Essay/ Critique | Written analysis of Indigenous research paper | 15% |
12/05/2025 5:00 pm |
| Computer Code, Paper/ Report/ Annotation | Data analysis assignment | 50% |
10/06/2025 5:00 pm |
Assessment details
Written critique of industry research
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 15%
- Due date
11/04/2025 5:00 pm
- Learning outcomes
- L01, L03
Task description
This task involves critiquing the research methods used in a piece of applied research, evaluating the research against characteristics of quality research covered in the course.
AI Statement:
This assessment task evaluates students' abilities, skills, and knowledge without the aid of generative Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
To be submitted via Blackboard and Turnitin
Deferral or extension
You may be able to apply for an extension.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Presentation and analysis of academic research method
- In-person
- Mode
- Oral
- Category
- Presentation
- Weight
- 20%
- Due date
31/03/2025 - 16/05/2025
During Tutorial Classes
Task description
This task involves students identifying a relevant academic paper and presenting it during tutorials. The presentation will focus on analysing how the paper has applied one of the statistical techniques that is central to finance research.
Please Note: The presentation will be recorded for marking purposes per UQ Policy.
AI Statement:
This assessment task evaluates students' abilities, skills, and knowledge without the aid of generative Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Presentations will be during tutorials
Deferral or extension
You may be able to apply for an extension.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Students who are unable to attend the tutorial presentation on the agreed upon date must reschedule with the tutor. If a suitable arrangement for a deferred presentation cannot be made, please contact the course coordinator.
Written analysis of Indigenous research paper
- Mode
- Written
- Category
- Essay/ Critique
- Weight
- 15%
- Due date
12/05/2025 5:00 pm
- Learning outcomes
- L01, L03, L04
Task description
This task involves critiquing the research methods used in a piece of academic research, evaluating the research against characteristics of quality research covered in the course.
AI Statement:
This assessment task evaluates students' abilities, skills, and knowledge without the aid of generative Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Submission via Blackboard
Deferral or extension
You may be able to apply for an extension.
Data analysis assignment
- Mode
- Written
- Category
- Computer Code, Paper/ Report/ Annotation
- Weight
- 50%
- Due date
10/06/2025 5:00 pm
- Learning outcomes
- L01, L02
Task description
The data assignment requires students to download financial data and analyse the data using statistical research techniques learned in class. Students will be required to download data during class but prepare the final paper independently. Students will be required to write a report documenting and drawing conclusions from their findings. More details will be provided on Blackboard and discussed in class.
AI Statement:
This assessment task evaluates students' abilities, skills, and knowledge without the aid of generative Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
To be submitted via Blackboard and Turnitin
Deferral or extension
You may be able to apply for an extension.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0 - 29 |
Absence of evidence of achievement of course learning outcomes. |
| 2 (Fail) | 30 - 46 |
Minimal evidence of achievement of course learning outcomes. |
| 3 (Marginal Fail) | 47 - 49 |
Demonstrated evidence of developing achievement of course learning outcomes |
| 4 (Pass) | 50 - 64 |
Demonstrated evidence of functional achievement of course learning outcomes. |
| 5 (Credit) | 65 - 74 |
Demonstrated evidence of proficient achievement of course learning outcomes. |
| 6 (Distinction) | 75 - 84 |
Demonstrated evidence of advanced achievement of course learning outcomes. |
| 7 (High Distinction) | 85 - 100 |
Demonstrated evidence of exceptional achievement of course learning outcomes. |
Additional course grading information
Grades will be allocated according to University-wide standards of criterion-based assessment.
Supplementary assessment
Supplementary assessment is available for this course.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Library resources are available on the UQ Library website.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Multiple weeks From Week 1 To Week 5 |
Lecture |
Lectures Learning outcomes: L01, L02, L03, L04 |
Multiple weeks From Week 2 To Week 13 |
Tutorial |
Tutorials Learning outcomes: L01, L02, L03, L05 |
Week 12 |
Lecture |
Final Lecture - Data Collection Learning outcomes: L01, L02 |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments for Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.