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Managing Complexity in Construction (Maximising Value)

General Information

This subject addresses the importance of using BIM/Lean/IPD principles and digital transformation to maximise value in all aspects of design and project delivery of complex projects. The strategic management of digital information using 3D BIM models, digital tools and Lean/IPD principles to collect, analyse and communicate data collaboratively is the driving force for future delivery of major complex projects with multiple stakeholders. The subject extends the discussion and practical applications of BIM best practice with decision-making processes based on robust, accessible data-driven information from digital design concept to operation of a building over its lifespan. This subject involves a critical review of BIM principles and processes integrated with Lean/IPD based practices. The underlying focus of the subject ties all concepts back to information management, delivering value not only to the contractor but to the ultimate client.  The subject is taught in a highly interactive environment. The lectures cover a range of topics relating to the opportunities and methods employed by contractors to leverage BIM during construction.

Academic unit: Faculty of Society & Design
Subject code: SSUD71-013
Subject title: Managing Complexity in Construction (Maximising Value)
Subject level: Postgraduate
Semester/Year: January 2023
Credit points: 10.000

Enrolment requirements

Requisites:

Nil

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.

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.

Find your program

Subject Learning Outcomes (SLOs)

On successful completion of this subject the learner will be able to:

  1. Evaluate BIM/Lean/IPD technology outputs to make decisions regarding manufacturing aspects of the delivery process that could contribute to maximisation of project value.
  2. Assess potential construction delivery intentions using BIM platforms with a Lean construction focus within an IPD approach to determine the best combination and integration of digital information to optimize value on projects.
  3. Synthesise various aspects of the 7 and 8 component models (depending on model source) for maximizing value on projects with particular emphasis on - collaboratively collecting, analysing and communicating data for delivery of major complex projects using BIM best-practice decision making processes integrated with Lean/IPD based practices to leverage BIM during construction.

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.

Type Task % Timing* Outcomes assessed
Computer-aided Test (Limited Open) Online Examination. 50.00% Second on-campus block 1,2,3
Problem-based Learning Contribution to class and teamwork; Knowledge demonstrated in group presentation; Contribution to problem-based projects; Personal demonstration of knowledge. 50.00% Class stream dependent 1,2,3
  • * 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.

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

The University’s Academic Integrity Policy defines plagiarism as the act of misrepresenting as one’s own original work: another’s ideas, interpretations, words, or creative works; and/or one’s own previous ideas, interpretations, words, or creative work without acknowledging that it was used previously (i.e., self-plagiarism). The University considers the act of plagiarising to be a breach of the Student Conduct Code and, therefore, subject to the Discipline Regulations which provide for a range of penalties including the reduction of marks or grades, fines and suspension from the University.

Bond University utilises Originality Reporting software to inform academic integrity.

Feedback on assessment

Feedback on assessment will be provided to students within two weeks of the assessment submission due date, as per the Assessment Policy.

Accessibility and Inclusion Support

If you have a disability, illness, injury or health condition that impacts your capacity to complete studies, exams or assessment tasks, it is important you let us know your special requirements, early in the semester. Students will need to make an application for support and submit it with recent, comprehensive documentation at an appointment with a Disability Officer. Students with a disability are encouraged to contact the Disability Office at the earliest possible time, to meet staff and learn about the services available to meet your specific needs. Please note that late notification or failure to disclose your disability can be to your disadvantage as the University cannot guarantee support under such circumstances.

Additional subject information

Subject curriculum

Approved on: Jul 28, 2022. Edition: 3.5
Last updated: Oct 10, 2022