Course coordinator
Professor Markus Barth
For in-person consultation course coordinators are available after the weekly lecture in the assigned lecture theatre.
Course overview
- Study period
- Semester 1, 2026 (23/02/2026 - 20/06/2026)
- Study level
- Postgraduate Coursework
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Elec Engineering & Comp Science School
Research methodology and research tools for computer science and engineering. Theoretical and practical material for starting, supporting and advancing research project work.
The purpose of REIT6811 is to introduce students to research methods and materials, to help them with their theses and individually supervised projects. The course presents theoretical and practical material for starting, supporting, and advancing research project work. The course also presents principles related to research management, integrity and ethics. Finally, the course introduces students to the processes by which research findings can go forward to have commercial and social impact.
In response to previous student feedback, the task in assignment 2 has been revised to improve its practicality.
Course requirements
Assumed background
The background assumed is the same as for Honours and Masters--namely that students have completed the first three years of their undergraduate program and have gained entry to the applicable Honours/Masters program.
Course contact
Course staff
Lecturer
Professor Markus Barth
Dr Monique Tourell
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
The timetable for REIT6811 includes two sessions per week: one 2-hour lecture and one 2-hour applied class. Students are expected to attend both sessions.
Aims and outcomes
The purpose of REIT6811 is ﾠto introduce students to research methods and materials, to help them with their theses and individually supervised projects. The course presentsﾠtheoretical and practical material for starting, supporting and advancing research project work. The course also presents principles related to research management, integrity and ethics. Finally, the course introduces students to the processes by which research findings can go forward to have commercial and social impact.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Compare and contrast literature on a specific topic and critically analyse its merits;
LO2.
Synthesise an annotated bibliography and create a literature review;
LO3.
Explain your work and enhance your verbal and written presentation skills;
LO4.
Describe the application of research ethics and integrity in different situations;
LO5.
Appraise the process through which research findings can move towards commercialisation and social impact;
LO6.
Explain and communicate ideas in a classroom context.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Participation/ Student contribution |
Active participation in applied class activities
|
30% |
Week 2 Mon - Week 13 Fri
Participation material is due at the end of your scheduled contact session. Your mark will be based on the best 6 out of 9 applied classes. This will accommodate unforeseen circumstances such as illness or technical issues. |
| Paper/ Report/ Annotation, Essay/ Critique | Assignment 1 | 20% |
13/04/2026 4:00 pm |
| Presentation, Portfolio |
Assignment 2
|
20% |
15/05/2026 10:00 am
Students give their oral presentations in their regular applied class time in weeks 12 and 13. Any content required for the presentation needs to be uploaded by the due date. |
| Examination |
End of Semester Exam
|
30% |
End of Semester Exam Period 6/06/2026 - 20/06/2026 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
Active participation in applied class activities
- Identity Verified
- In-person
- Mode
- Activity/ Performance
- Category
- Participation/ Student contribution
- Weight
- 30%
- Due date
Week 2 Mon - Week 13 Fri
Participation material is due at the end of your scheduled contact session.
Your mark will be based on the best 6 out of 9 applied classes.
This will accommodate unforeseen circumstances such as illness or technical issues.
- Other conditions
- Time limited.
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
For each of the 10 applied classes, a maximum of 10 marks can be earned through active class participation.
Applied class activities can be in the form of discussions, presentations, surveys and other in-class activities.
This assessment task is to be completed in-person.
When written material needs to be submitted, this is due by the end of each applied class. To accommodate unforeseen circumstances such as illness or technical issues, your mark will be based on the best 6 out of 9 applied classes.
Feedback to students: Students will have an opportunity to receive feedback prior to Census (Week 6).
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance. A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
See Blackboard for instructions on submissions.
Deferral or extension
You cannot defer or apply for an extension for this assessment.
As time is provided within the practical class to complete all work, no extensions are permitted.
Your mark will be based on the best 6 out of 9 applied classes. If you're unable to complete the required 6 activities due to exceptional circumstances, please contact the School at studentenquiries@eecs.uq.edu.au
Late submission
You will receive a mark of 0 if this assessment is submitted late.
As time is provided within the practical class to complete all work, no late submissions will be accepted and a 100% late penalty applies.
Assignment 1
- Mode
- Written
- Category
- Paper/ Report/ Annotation, Essay/ Critique
- Weight
- 20%
- Due date
13/04/2026 4:00 pm
- Learning outcomes
- L01, L02, L03, L04
Task description
Assignments are research tasks based on the applied classes and lecture materials and journals. Assignment 1 focuses on research integrity, plagiarism in research, and ethics.
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance. A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
This assessment can be assessed by two or more examiners in which case a post-marking moderation process will be applied.
Submission guidelines
See Blackboard for instructions on submissions.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
Extensions are limited to 7 days as feedback will be provided within 14 days.
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.
Assignment 2
- Identity Verified
- In-person
- Mode
- Oral
- Category
- Presentation, Portfolio
- Weight
- 20%
- Due date
15/05/2026 10:00 am
Students give their oral presentations in their regular applied class time in weeks 12 and 13.
Any content required for the presentation needs to be uploaded by the due date.
- Other conditions
- Time limited.
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
Assignment 2 will be conducted in the form of an oral presentation to be held in Weeks 12 and 13. Any content required for the presentation (e.g slides) needs to be uploaded by the due date. The oral presentation will be based on the selected small research topic and is to be completed in-person.
In accordance with UQ Assessment Policy, your presentation will be recorded.
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance. A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
This assessment can be assessed by two or more examiners in which case a post-marking moderation process will be applied.
Submission guidelines
See Blackboard for submission instructions.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
The presentation for Assignment 2 is due in person during the applied classes in weeks 12 and 13. If you are unable to attend your allocated slot, one reschedule is permitted. To apply for a reschedule, you need to apply for an extension via my.UQ. If you do not attend the rescheduled session, the mark for this assessment item will be 0. Partial marks may be awarded in case the presentation content (e.g. slides) is uploaded by the (extended) due date.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
Consistent with industry practice around presentations to clients/industry partners, no late submissions will be accepted and a 100% late penalty applies.
This has been approved by the Associate Dean (Academic).
Partial marks may be awarded in case the presentation content (e.g. slides) is uploaded by the due date.
End of Semester Exam
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 30%
- Due date
End of Semester Exam Period
6/06/2026 - 20/06/2026
- Other conditions
- Time limited, Secure.
- Learning outcomes
- L01, L02, L03, L04, L05
Task description
This will be the end-of-semester exam covering all the components taught in Weeks 1 - 13.
This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.
Hurdle requirements
In order to achieve a Grade of 4 (Pass) or greater in the course, students must achieve at least 40% in the final exam. In order to achieve a Grade of 3, students must achieve at least 40% in the final exam. Students who do not meet this will have their grade capped at 2.Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 120 minutes |
| Calculator options | No calculators permitted |
| Open/closed book | Closed book examination - no written materials permitted |
| Exam platform | Paper based |
| Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0 - 19 |
Absence of evidence of achievement of course learning outcomes. |
| 2 (Fail) | 20 - 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
Marks are rounded to the nearest integer before calculating the final grade. Half-integers are rounded up. At the discretion of the course coordinator, final marks of the class may be moderated.
Below is an example of how the final grades are calculated. For example, if you receive the following marks:
- Active participation in applied class activities (30%) - 75 marks
- Assignment 1 (20%) - 75 marks
- Assignment 2 (20%) - 65 marks
- End of Semester Exam (30%) - 85 marks
You final mark will be calculated as: (75*0.3)+(75*0.2)+(65*0.2)+(85*0.3) = 76 = Distinction
In order to achieve a Grade of 4 (Pass) or greater in the course, students must achieve at least 40% in the final exam.
In order to achieve a Grade of 3 and be eligible for a Supplementary Exam, students must achieve at least 40% in the final exam. Students who do not meet this will have their grade capped at 2.
Supplementary assessment
Supplementary assessment is available for this course.
Additional assessment information
Having Troubles?
If you are having difficulties with any aspect of the course material you should seek help. Speak to the course teaching staff.
If external circumstances are affecting your ability to work on the course, you should seek help as soon as possible. The University and UQ Union have organisations and staff who are able to help, for example, UQ Student Services are able to help with study and exam skills, tertiary learning skills, writing skills, financial assistance, personal issues, and disability services (among other things).
Complaints and criticisms should be directed in the first instance to the course coordinator. If you are not satisfied with the outcome, you may bring the matter to the attention of the School of EECS Director of Teaching and Learning.
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.
Additional learning resources information
Distribution of Notices
Announcements are put up on the blackboard site. The discussion will be using the Ed Discussion Board.
Web
The blackboard site is available via ﾠlearn.uq.edu.au. The blackboard site contains information about all assessment components and assignments.
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 |
|---|---|---|
Practical |
Written and oral research exercises There will be assignments associated with the lecture and applied class. These will each require several research components. Learning outcomes: L01, L02, L03, L04, L05, L06 |
|
Lecture |
Lectures There is one 2-hour lecture each week: Lectures begin in Week 1 and are also placed online in Blackboard. Learning outcomes: L01, L02, L04, L05, L06 |
|
Applied Class |
Participation in applied class There is one 2-hour applied class most weeks. Students need to engage in in-class activities based on the learning materials for the week. Activities will support students in preparing for the submission of their assignments and the exam. In-class activities can consist of questions and answers with responses to other students' ideas, discussions, surveys, and other relevant materials. Learning outcomes: L01, L02, L03, L04, L05, L06 |
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
- AI for Assessment Guide
- Recording of Teaching Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.
School guidelines
Your school has additional guidelines you'll need to follow for this course: