General Information
This subject introduces the evolving trends and technologies that challenge traditional architectural and construction practices. Through a combination of forums, workshops, guest speakers, field visits, and case studies, this subject will facilitate critical thinking about how emerging technologies can be meaningfully deployed in the built environment industries. The subject will examine case studies that exemplify new approaches, processes, methods, concepts and best practices, providing an understanding of topics such as Building Information Modelling, lean production, life cycle carbon, technical nutrients, embodied energy, off-site manufacturing, industry 5.0, design for manufacture, blockchains, digital twins, mass customisation, and other emerging processes.
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Details
Academic unit: Faculty of Society & Design Subject code: ARCH71-139 Subject title: Digital Design and Intelligent Construction Subject level: Postgraduate Semester/Year: September 2024 Credit points: 10.000 -
Delivery & attendance
Timetable: https://bond.edu.au/timetable Delivery mode: Standard Workload items: - Computer Lab: x1 (Total hours: 3) - Computer Tutorial
- Seminar: x8 (Total hours: 24) - Weekly Seminar
- Field Trip: x1 (Total hours: 4) - Field Trip
- Workshop: x2 (Total hours: 12) - Workshop activities
- Personal Study Hours: x12 (Total hours: 77) - Personal study hours
Attendance and learning activities: Team-based and interdisciplinary activities and exercises are set to occur during class time. -
Resources
Prescribed resources: Books
- Scott Marble (2013). Digital Workflows in Architecture. n/a, Walter de Gruyter 288
- Kieran, Stephen and Timberlake, James (2004). Refabricating architecture : how manufacturing methodologies are poised to transform building construction. n/a, McGraw-Hill
- McDonough, William and Braungart, Michael (2002). Cradle to Cradle: Remaking the Way We Make Things. n/a, New York : North Point Press 92-117
- Phil Bernstein (2018). Practice Competency in the Era of Computation. n/a, Birkhauser Verlag GmbH
- Randy Deutsch (2017). Convergence. n/a, John Wiley & Sons 240
Journals
- Hongxi Yin, Ming Qu, Haiyan Zhang & YeChan Lim (2018). 3D Printing and Buildings: A Technology Review and Future Outlook. TAD: Technology Architecture Design 94-111 Available at: https://doi.org/10.1080/24751448.2018.1420968
- Aitchison (2018). A House is Not a Car (Yet). Journal of Architectural Education
iLearn@Bond & Email: iLearn@Bond is the Learning Management System at Bond University and is used to provide access to subject materials, class recordings and detailed subject information regarding the subject curriculum, assessment, and timing. Both iLearn and the Student Email facility are used to provide important subject notifications.
Additionally, official correspondence from the University will be forwarded to students’ Bond email account and must be monitored by the student.
To access these services, log on to the Student Portal from the Bond University website as www.bond.edu.au
Academic unit: | Faculty of Society & Design |
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Subject code: | ARCH71-139 |
Subject title: | Digital Design and Intelligent Construction |
Subject level: | Postgraduate |
Semester/Year: | September 2024 |
Credit points: | 10.000 |
Timetable: | https://bond.edu.au/timetable |
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Delivery mode: | Standard |
Workload items: |
|
Attendance and learning activities: | Team-based and interdisciplinary activities and exercises are set to occur during class time. |
Prescribed resources: | Books
Journals
|
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iLearn@Bond & Email: | iLearn@Bond is the Learning Management System at Bond University and is used to provide access to subject materials, class recordings and detailed subject information regarding the subject curriculum, assessment, and timing. Both iLearn and the Student Email facility are used to provide important subject notifications. Additionally, official correspondence from the University will be forwarded to students’ Bond email account and must be monitored by the student. To access these services, log on to the Student Portal from the Bond University website as www.bond.edu.au |
Enrolment requirements
Requisites: |
Nil |
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Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge. General understanding of construction procurement strategies and awareness of conventional construction systems. |
Restrictions: |
Nil |
Assurance of learning
Assurance of Learning means that universities take responsibility for creating, monitoring and updating curriculum, teaching and assessment so that students graduate with the knowledge, skills and attributes they need for employability and/or further study.
At Bond University, we carefully develop subject and program outcomes to ensure that student learning in each subject contributes to the whole student experience. Students are encouraged to carefully read and consider subject and program outcomes as combined elements.
Program Learning Outcomes (PLOs)
Program Learning Outcomes provide a broad and measurable set of standards that incorporate a range of knowledge and skills that will be achieved on completion of the program. If you are undertaking this subject as part of a degree program, you should refer to the relevant degree program outcomes and graduate attributes as they relate to this subject.
Subject Learning Outcomes (SLOs)
On successful completion of this subject the learner will be able to:
- Understand the different types and classifications of information systems and the fundamentals of data modelling management and information extraction.
- Analyse critically predominant procurement methods for construction and evaluate the factors and opportunities to implement new procurement methods.
- Assess and explain how stakeholder values in the lifespan of a project are transferred and translated.
- Define and critically analyse digital fabrication operations and computer-aided assembly processes through a case study with clear written and graphic communication skills.
- Understand the whole life carbon implications of procurement methods, materials, components and construction systems.
Generative Artificial Intelligence in Assessment
The University acknowledges that Generative Artificial Intelligence (Gen-AI) tools are an important facet of contemporary life. Their use in assessment is considered in line with students’ development of the skills and knowledge which demonstrate learning outcomes and underpin study and career success. Instructions on the use of Gen-AI are given for each assessment task; it is your responsibility to adhere to these instructions.
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Assessment details
Type Task % Timing* Outcomes assessed Paper-based Test (Limited Open) In-class Quiz 30.00% Week 6 1,2,3,5 Case Analysis Case study report 30.00% Week 9 1,2,3,4 Case Study§ Case study presentation 40.00% Week 12 1,2,3 - § Indicates group/teamwork-based assessment
- * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
- C = Students must reach a level of competency to successfully complete this assessment.
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Assessment criteria
Assessment criteria
High Distinction 85-100 Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking. Distinction 75-84 Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas. Credit 65-74 Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above. Pass 50-64 Usually awarded to students whose performance meets the requirements set for work provided for assessment. Fail 0-49 Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines. Quality assurance
For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.
Type | Task | % | Timing* | Outcomes assessed |
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Paper-based Test (Limited Open) | In-class Quiz | 30.00% | Week 6 | 1,2,3,5 |
Case Analysis | Case study report | 30.00% | Week 9 | 1,2,3,4 |
Case Study§ | Case study presentation | 40.00% | Week 12 | 1,2,3 |
- § Indicates group/teamwork-based assessment
- * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
- C = Students must reach a level of competency to successfully complete this assessment.
Assessment criteria
High Distinction | 85-100 | Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking. |
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Distinction | 75-84 | Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas. |
Credit | 65-74 | Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above. |
Pass | 50-64 | Usually awarded to students whose performance meets the requirements set for work provided for assessment. |
Fail | 0-49 | Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines. |
Quality assurance
For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.
Study Information
Submission procedures
Students must check the iLearn@Bond subject site for detailed assessment information and submission procedures.
Policy on late submission and extensions
A student who has not established a basis for an extension in compliance with University and Faculty policy either by 1) not applying before the assessment due date or 2) by having an application rejected due to failure to show a justifiable cause for an extension, will receive a penalty on assessment submitted after its due date. The penalty will be 10% of marks awarded to that assessment for every day late, with the first day counted after the required submission time has passed. No assessment will be accepted for consideration seven calendar days after the due date. Where a student has been granted an extension, the late penalty starts from the new due date and time set out in the extension.
Academic Integrity
Bond University‘s Student Code of Conduct Policy , Student Charter, Academic Integrity Policy and our Graduate Attributes guide expectations regarding student behaviour, their rights and responsibilities. Information on these topics can be found on our Academic Integrity webpage recognising that academic integrity involves demonstrating the principles of integrity (honesty, fairness, trust, professionalism, courage, responsibility, and respect) in words and actions across all aspects of academic endeavour.
Staff are required to report suspected misconduct. This includes all types of plagiarism, cheating, collusion, fabrication or falsification of data/content or other misconduct relating to assessment such as the falsification of medical certificates for assessment extensions. The longer term personal, social and financial consequences of misconduct can be severe, so please ask for help if you are unsure.
If your work is subject to an inquiry, you will be given an opportunity to respond and appropriate support will be provided. Academic work under inquiry will not be marked until the process has concluded. Penalties for misconduct include a warning, reduced grade, a requirement to repeat the assessment, suspension or expulsion from the University.
Feedback on assessment
Feedback on assessment will be provided to students according to the requirements of the Assessment Procedure Schedule A - Assessment Communication Procedure.
Whilst in most cases feedback should be provided within two weeks of the assessment submission due date, the Procedure should be checked if the assessment is linked to others or if the subject is a non-standard (e.g., intensive) subject.
Accessibility and Inclusion Support
Support is available to students where a physical, mental or neurological condition exists that would impact the student’s capacity to complete studies, exams or assessment tasks. For effective support, special requirement needs should be arranged with the University in advance of or at the start of each semester, or, for acute conditions, as soon as practicable after the condition arises. Reasonable adjustments are not guaranteed where applications are submitted late in the semester (for example, when lodged just prior to critical assessment and examination dates).
As outlined in the Accessibility and Inclusion Policy, to qualify for support, students must meet certain criteria. Students are also required to meet with the Accessibility and Inclusion Advisor who will ensure that reasonable adjustments are afforded to qualifying students.
For more information and to apply online, visit BondAbility.
Additional subject information
Subject curriculum
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The Building Lifecycle
Principals of building life cycle; embodied energy; life cycle carbon analysis; products of service; technical nutrient systems. Cradle to Cradle.
SLOs included
- Understand the different types and classifications of information systems and the fundamentals of data modelling management and information extraction.
- Analyse critically predominant procurement methods for construction and evaluate the factors and opportunities to implement new procurement methods.
- Assess and explain how stakeholder values in the lifespan of a project are transferred and translated.
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Offsite Construction and Manufacturing
Prefabrication, off-site, modular, design-for-manufacture (DFMA) and mass customisation. Robotics in Construction.
SLOs included
- Analyse critically predominant procurement methods for construction and evaluate the factors and opportunities to implement new procurement methods.
- Assess and explain how stakeholder values in the lifespan of a project are transferred and translated.
- Define and critically analyse digital fabrication operations and computer-aided assembly processes through a case study with clear written and graphic communication skills.
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Building Procurement
New procurement models in construction. Risk. Contract types. Industry stakeholders. Blockchains. Value chains.
SLOs included
- Understand the different types and classifications of information systems and the fundamentals of data modelling management and information extraction.
- Analyse critically predominant procurement methods for construction and evaluate the factors and opportunities to implement new procurement methods.
- Assess and explain how stakeholder values in the lifespan of a project are transferred and translated.
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Digital Design and Virtual Construction
Building Information Modelling (BIM), Parametric design; Digital twins; computational design. Augmented Reality.
SLOs included
- Understand the different types and classifications of information systems and the fundamentals of data modelling management and information extraction.
- Analyse critically predominant procurement methods for construction and evaluate the factors and opportunities to implement new procurement methods.
- Assess and explain how stakeholder values in the lifespan of a project are transferred and translated.
- Define and critically analyse digital fabrication operations and computer-aided assembly processes through a case study with clear written and graphic communication skills.
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Field Study
All day trip to Brisbane to visit best-practice exemplars in specialist fabrication, prefabrication and modern methods of construction.
SLOs included
- Analyse critically predominant procurement methods for construction and evaluate the factors and opportunities to implement new procurement methods.
- Assess and explain how stakeholder values in the lifespan of a project are transferred and translated.
- Define and critically analyse digital fabrication operations and computer-aided assembly processes through a case study with clear written and graphic communication skills.
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Guest Lectures
Guest lectures during the term to provide industry insights and emerging developments that are changing practice.
SLOs included
- Understand the different types and classifications of information systems and the fundamentals of data modelling management and information extraction.
- Analyse critically predominant procurement methods for construction and evaluate the factors and opportunities to implement new procurement methods.
- Assess and explain how stakeholder values in the lifespan of a project are transferred and translated.
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Future trends
New materials; future enterprise models. Industry 5.0. Machine learning and AI. Disruption.
SLOs included
- Analyse critically predominant procurement methods for construction and evaluate the factors and opportunities to implement new procurement methods.
- Assess and explain how stakeholder values in the lifespan of a project are transferred and translated.
- Define and critically analyse digital fabrication operations and computer-aided assembly processes through a case study with clear written and graphic communication skills.
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Specialist Workshop
Simulation of design-to-manufacture workflow using parametric software, simulation, and fabrication process in hands-on setting.
SLOs included
- Analyse critically predominant procurement methods for construction and evaluate the factors and opportunities to implement new procurement methods.
- Assess and explain how stakeholder values in the lifespan of a project are transferred and translated.
- Define and critically analyse digital fabrication operations and computer-aided assembly processes through a case study with clear written and graphic communication skills.