Course overview
- Study period
- Semester 2, 2024 (22/07/2024 - 16/11/2024)
- Study level
- Postgraduate Coursework
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Architecture, Design and Planning School
ARCH7075 is one of four Research Labs offered in the Master of Architecture program. Each Research Lab offers an exploration of the theoretical and methodological aspects of a particular sub-discipline within architectural research. Students will learn specific content through a series of seminars or lectures, and then develop a research project based on the theories and methods specific to this sub-discipline area. The project students develop in a Research Lab can be extended into the ARCH7063 Research: Thesis course.
Semester 2, 2024 Course topic: Digital Design and Workflow
To deliver an effective solution to a given problem, a building designer must utilise a range of analysis and design methods. The purpose of this course is to introduce students to an extended range of powerful computational methods, including parametric design, generative design, optimisation, and digital interoperability. These can be combined with typical structural analysis and design methods, including theoretical and numerical approaches, to amplify the ability of a designer to deliver effective and efficient solutions to complex problems in building design and delivery. The course will also explore the application of computational methods for the design of structures which possess a performance-driven structural geometry (form-active, form-found structures), and/or an advanced manufacturing delivery mode (digitally-fabricated, robotically-constructed structures).
Course requirements
Incompatible
You can't enrol in this course if you've already completed the following:
ARCH7073
Restrictions
MArch and MUrbDevDes students only.
Course contact
Course staff
Lecturer
Associate Professor Joe Gattas
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
This course has project-based deliverables and does not have exams.
Aims and outcomes
This course aims to extend students' understanding of research methods in digital and physical fabrication, and visualisation, to conduct open-ended and future oriented thinking.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Conduct a critical review of relevant academic literature and/or architectural advances in visualisation and/or computational design strategies, and advanced fabrication technology.
LO2.
Apply an appropriate integrated design proposal that demonstrates technical innovation strategies to undertaking research.
LO3.
Evaluate primary and secondary research evidence related to computational and visualisation perspectives.
LO4.
Independently and/or collaboratively formulate a research proposition that is grounded in digital architecture technologies.
LO5.
Independently prepare a research synthesis project.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Paper/ Report/ Annotation | Assessment 1 - Component Design and Development | 30% (Individual) |
13/08/2024 4:00 pm
Digital Submission: Via Blackboard |
| Paper/ Report/ Annotation | Assessment 2 - Research framework and workflow | 20% (Individual) |
8/10/2024 4:00 pm
Digital Submission: Via Blackboard |
| Paper/ Report/ Annotation, Project |
Assessment 3 - Major Research Project (IVAH)
|
50% 30% (Individual) + 20% (Group) |
5/11/2024 4:00 pm
Digital Submission: Via Blackboard |
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
Assessment 1 - Component Design and Development
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 30% (Individual)
- Due date
13/08/2024 4:00 pm
Digital Submission: Via Blackboard
- Learning outcomes
- L01, L02, L03, L04
Task description
Assessment Rationale:
There are two parts of Assessment 1 - Component Design and Development.
Part 1 - Formative
Submission of 3 Archistar Certificates. Further specific Assessment details will be made available via Blackboard.
Part 2 - Summative 30%
This midterm assignment submission will require students to demonstrate their understanding of the parametric modelling, generative modelling, and interoperable digital workflows as introduced in the first half of the course. The assignment will be an individual submission uploaded to Blackboard, with the submission to include a computational model and a short accompanying report. Further specific Assessment details will be made available via Blackboard.
Assessment task to be completed without use of AI: This assessment task evaluates student’s abilities, skills and knowledge without the aid of 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
The School of Architecture, Design, and Planning uses Blackboard and Turnitin for assessment submission. Turnitin is accessed through the course Blackboard site. Turnitin also checks for plagiarism or instances where the original work of others is not appropriately acknowledged.
Students are advised to commence assignment uploads with a sufficient amount of time (consider possible technical problems with computers, internet speed, etc). After successfully submitting an assignment through Turnitin, a ‘Submission Complete!’ screen will be displayed. It is the student’s responsibility to check the assignment preview and confirm successful submission. The student should regard the submission as unsuccessful if the ‘Submission Complete!’ screen isn’t displayed. Students should download a copy of the digital receipt as proof they have submitted the assignment. Students experiencing upload issues must immediately advise the Course Coordinator by email and include screenshots and a copy of the assessment for submission.
To meet professional accreditation, public engagement, and quality assurance obligations, digital copies of all course assessment items must be submitted in addition to any hard copy submission requirements specified in individual Course / Studio Outlines. Any physical models should be photographed, and a minimum of two photographs describing the complete and full model must be included in the digital submission.
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.
If a student wishes to apply for an extension, they must apply online on or before the assignment due date. When possible, it is suggested that requests are submitted 2 business days prior to the submission due date for the assignment to allow processing time. Students with outstanding applications for extensions are advised to submit their assessment by the original due date, irrespective of whether the work is complete, so that what has been done can be graded.
Late submission
The late penalty for this assessment item will be calculated as follows:
10% per 24 hours of the maximum possible mark for the assessment item, or one grade per 24 hours if graded on a scale of 1-7, or equivalent penalty if an alternative grading approach is used. For example, a report worth a maximum of 40 marks, submitted 28 hours late will attract a penalty of 8 marks, calculated as 2 periods of 24 hours x 10% x 40 marks. Where there are more than 7 periods of 24 hours, the penalty is 100%.
Assessment 2 - Research framework and workflow
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 20% (Individual)
- Due date
8/10/2024 4:00 pm
Digital Submission: Via Blackboard
- Learning outcomes
- L01, L02, L03, L04, L05
Task description
Assessment Rationale:
Assessment 2 - Research framework and workflow is an interim submission leading to the final research project for the course.
This Assessment will comprise one submission uploaded to Blackboard:
Part 1 - Formative
Submission of 1 Archistar Certificate. Further specific Assessment details will be made available via Blackboard.
Part 2 - Summative 20%
An individual assessment component (20% weighting), including a research report. In this report, students should identify the background, aim, challenges, workflow, and framework for a final research project. Further specific assessment details will be made available via Blackboard.
Assessment task to be completed without the use of AI: This assessment task evaluates students’ abilities, skills, and knowledge without the aid of 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
The School of Architecture, Design and Planning uses Blackboard and Turnitin for assessment submission. Turnitin is accessed through the course Blackboard site. Turnitin also checks for plagiarism or instances where the original work of others is not appropriately acknowledged.
Students are advised to commence assignment uploads with sufficient amount of time (consider possible technical problems with computers, internet speed, etc). After successfully submitting an assignment through Turnitin, a ‘Submission Complete!’ screen will be displayed. It is the student’s responsibility to check assignment preview and confirm successful submission. If the ‘Submission Complete!’ screen isn’t displayed, the student should regard the submission as unsuccessful. Students should download a copy of the digital receipt as proof they have submitted the assignment. Students who are experiencing upload issues must advise the Course Coordinator immediately by email and should include screenshots and a copy of the assessment for submission.
To meet professional accreditation, public engagement and quality assurance obligations, digital copies of all course assessment items must be submitted in addition to any hard copy submission requirements specified in individual Course / Studio Outlines. Any physical models should be photographed and a minimum of two photographs describing the complete and full model must be included in the digital submission.
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.
If a student wishes to apply for an extension, they must apply online on or before the assignment due date. When possible, it is suggested that requests are submitted 2 business days prior to the submission due date for the assignment to allow processing time. Students with outstanding applications for extensions are advised to submit their assessment by the original due date, irrespective of whether the work is complete, so that what has been done can be graded.
Late submission
The late penalty for this assessment item will be calculated as follows:
10% per 24 hours of the maximum possible mark for the assessment item, or one grade per 24 hours if graded on a scale of 1-7, or equivalent penalty if an alternative grading approach is used. For example, a report worth a maximum of 40 marks, submitted 28 hours late will attract a penalty of 8 marks, calculated as 2 periods of 24 hours x 10% x 40 marks. Where there are more than 7 periods of 24 hours, the penalty is 100%.
Assessment 3 - Major Research Project (IVAH)
- Hurdle
- Identity Verified
- Team or group-based
- Mode
- Product/ Artefact/ Multimedia, Written
- Category
- Paper/ Report/ Annotation, Project
- Weight
- 50% 30% (Individual) + 20% (Group)
- Due date
5/11/2024 4:00 pm
Digital Submission: Via Blackboard
- Other conditions
- Peer assessment factor.
- Learning outcomes
- L01, L02, L03, L04, L05
Task description
Assessment Rationale:
This final project is the major assessment item for the course. The project will comprise two submissions, both to be uploaded to Blackboard.
Part 1 - Summative 30%
An individual assessment component, including a highly resolved computational model and accompanying research report.
Part 2 - Summative 20%
A group assessment component, including a final computational model that integrates individual models from each group member; and a (pre-recorded) group presentation that demonstrates model design and operation. Anonymous peer assessment will be applied to monitor group work and weight the marks. Further specific Assessment details will be made available via Blackboard.
If, for whatever reason, you find that your group is not functioning effectively, please contact your Course Coordinator for support.
Assessment task to be completed without use of AI: This assessment task evaluates student’s abilities, skills and knowledge without the aid of 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.
Hurdle requirements
A hurdle is an assessment requirement that must be satisfied to receive a specific grade in the course. 'Assessment 3' is designated as a Hurdle in this course. This means a minimum achievement of 50% (a grade of 4) is required for this assessment item in order to pass the course. Meeting the hurdle requirement for a course does not guarantee a passing grade for the course and in order to pass this course, students also need to achieve a minimum grade of 4 overall.Submission guidelines
The School of Architecture, Design and Planning uses Blackboard and Turnitin for assessment submission. Turnitin is accessed through the course Blackboard site. Turnitin also checks for plagiarism or instances where the original work of others is not appropriately acknowledged.
Students are advised to commence assignment uploads with sufficient amount of time (consider possible technical problems with computers, internet speed, etc). After successfully submitting an assignment through Turnitin, a ‘Submission Complete!’ screen will be displayed. It is the student’s responsibility to check assignment preview and confirm successful submission. If the ‘Submission Complete!’ screen isn’t displayed, the student should regard the submission as unsuccessful. Students should download a copy of the digital receipt as proof they have submitted the assignment. Students who are experiencing upload issues must advise the Course Coordinator immediately by email and should include screenshots and a copy of the assessment for submission.
To meet professional accreditation, public engagement and quality assurance obligations, digital copies of all course assessment items must be submitted in addition to any hard copy submission requirements specified in individual Course / Studio Outlines. Any physical models should be photographed and a minimum of two photographs describing the complete and full model must be included in the digital submission.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
If a student wishes to apply for an extension, they must apply online on or before the assignment due date. When possible, it is suggested that requests are submitted 2 business days prior to the submission due date for the assignment to allow processing time. Students with outstanding applications for extensions are advised to submit their assessment by the original due date, irrespective of whether the work is complete, so that what has been done can be graded.
Late submission
The late penalty for this assessment item will be calculated as follows:
10% per 24 hours of the maximum possible mark for the assessment item, or one grade per 24 hours if graded on a scale of 1-7, or equivalent penalty if an alternative grading approach is used. For example, a report worth a maximum of 40 marks, submitted 28 hours late will attract a penalty of 8 marks, calculated as 2 periods of 24 hours x 10% x 40 marks. Where there are more than 7 periods of 24 hours, the penalty is 100%.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0 - 24.99 |
Absence of evidence of achievement of course learning outcomes. Course grade description: Fail. No assessable output from the student received. |
| 2 (Fail) | 25 - 44.99 |
Minimal evidence of achievement of course learning outcomes. Course grade description: Fail. The students fails to demonstrate any relevant knowledge of the course or understanding of the key concepts. |
| 3 (Marginal Fail) | 45 - 49.99 |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: Fail. Falls short of satisfying all basic requirements for a Pass. |
| 4 (Pass) | 50 - 64.99 |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The student demonstrates a sound knowledge of the relevant information and a fair understanding of the key concepts. |
| 5 (Credit) | 65 - 74.99 |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The student demonstrates a sound knowledge of the relevant information and a good understanding of the key concepts. |
| 6 (Distinction) | 75 - 84.99 |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: Key concepts are understood and the student has a comprehensive knowledge of the course. |
| 7 (High Distinction) | 85 - 100 |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: Key concepts are understood, comprehensive knowledge of the course, evidence of critical analysis and ability to synthesise information from different aspects of the course. |
Additional course grading information
Identity verified assessment with a hurdle (IVAH)
To meet assessment validity and integrity obligations, this course includes at least one piece of individual Identity Verified Assessment with a Hurdle (IVAH) that is unambiguously completed by that student, and in which a minimum level of achievement is reached. IVAH assessment item(s) contribute at least 30% towards the final grade. Examples of IVAH items include any activity in which a student’s individual performance is directly monitored, such as performances, fieldwork, oral assessment (including design critiques), design studio project work and invigilated exams. In order to pass this course students must achieve a minimum grade for the IVAH designated assessment item(s) as stated in the Assessment Task Description.
Supplementary assessment
Supplementary assessment is not available for some items in this course.
Supplementary assessment may not be available for all courses, or for some of the assessment items for a course.
Supplementary assessment may be considered in research courses in some circumstances, for example, if the research is complete and the findings are reportable but the final presentation of the work/dissertation is incomplete. However, supplementary assessment will not be considered on the basis of incomplete or unfinished research or in circumstances where there is no practical supplementary assessment option available.
Not all of the assessment components of this course may be re-assessed with supplementary assessment. A grade of 3 or N does not guarantee that supplementary assessment may be undertaken for this course, however students may apply.
Supplementary assessment can take any form, for example, an oral or a written exam. Students who are eligible and approved for a supplementary assessment and the form of assessment is an examination, are expected to be available to sit the supplementary exam during the University’s Deferred and Supplementary examination period. Once approved, supplementary assessment cannot be rescinded by the student.
Additional assessment information
Identity verified assessment with a hurdleﾠ(IVAH)ﾠ
To meet assessment validity and integrity obligations, this course includes at least one piece of individual Identity Verified Assessment with a Hurdle (IVAH) that is unambiguously completed by that student, and in which a minimum level of achievement is reached. IVAH assessment item(s) contribute at least 30% towards the final grade.
Examples of IVAH items include any activity in which a student’s individual performance is directly monitored, such as performances, fieldwork, oral assessment (including design critiques), design studio project work and invigilated exams.
In order to pass this course students must achieve a minimum grade for the IVAH designated assessment item(s) as stated in the Assessment Task Description in the ECP.ﾠ
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
Find the required and recommended resources for this course on the UQ Library website.
Additional learning resources information
Archistar // Academy online learning modules https://academy.archistar.ai/login
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 |
Lecture |
Lecture Weeks 1 - 2 - Parametric Design : Couse outline, computational design overview, parametric modelling, model development, and design. terminology, and operation of computation design. Week 3 - 4 - Extended methods for geometric modelling - generative assembly and subdivision. Week 5 - 6 - Development of digital workflows for larger and more complex systems and design problems. Week 7 - 8 - Performance Analysis, Responsiveness, Optimisation, and Form-Finding Week 10 - 12 - Advanced Manufacturing, Digital Fabrication, Mass Customisation, and Robotic Construction Week 13 - No lecture Learning outcomes: L01, L02, L03, L04, L05 |
Information technology session |
IT Lab Week 1 - 4 - Software labs to introduce various computational design tools and develop capacity in computational methods. Week 5 - 6 - Workflow design and research development Week 7 - 12 - Advanced component explorations, final assignment group selection and workflow development Learning outcomes: L01, L02, L03, L04, L05 |
Additional learning activity information
Archistar // Academy online learning modules https://academy.archistar.ai/login
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 - Students 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:
Course guidelines
As a joint course with Civil Engineering, School of Civil Engineering School Guidelines is also applicable to this course