Course coordinator
Dr SangHyung Ahn
Course overview
- Study period
- Semester 2, 2024 (22/07/2024 - 18/11/2024)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Civil Engineering School
The course will give students an understanding of the process by which construction field operations are designed and optimised and will provide students with hands-on knowledge in the use of various software tools needed for that purpose. Upon completion of the course students will be able to design a new operation and improve an existing one by proper measurement of current performance, and modelling and analysis using computer simulation.
The course provides students with an opportunity to develop a professional understanding of the process by which construction field operations are designed and optimised, and will provide students with hands-on knowledge in the use of the various software tools needed for that purpose. Upon completion of the course, students will be able to design a new operation or improve an existing one by proper measurement of current performance, and modelling and analysis.
The lecture material will feature theoretical components and several guest lectures from subject-matter experts. The class will include material that may be commercially sensitive - as such, lecture recordings may not be used in many of the classes. Slides will be made available on Blackboard, with reductions where appropriate.
Course requirements
Assumed background
Civil engineering courses. To maximize the learning experience, this course should be taken in the last semester of the BE program.
Prerequisites
You'll need to complete the following courses before enrolling in this one:
CIVL3510 or CIVL3520
Incompatible
You can't enrol in this course if you've already completed the following:
CIVL4520
Course contact
Course staff
Lecturer
Dr SangHyung Ahn
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
Please refer to mySI-net.
Aims and outcomes
To provide students with knowledge and understanding of construction operations modelling using computer simulation. This includes basic analytical and simulation techniques needed to design, analyse and improve construction operations.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Explain the fundamental theoretical and practical aspects of computer modelling and simulation of construction operations.
LO2.
Identify the primary factors to be considered in formulating the problems and plan of an analytical and simulation-based study.
LO3.
Identify the performance measures to be used to evaluate the efficacy of different construction system configurations.
LO4.
Design suitable data collection methods on construction operating procedures.
LO5.
Use effective verbal, non-verbal, written, and computer skills to provide the subject-matter expert and public with meaningful technical analysis of the construction operations.
LO6.
Successfully work within a team to prepare a case study and report that information in a clear, concise, timely and professional manner
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Project |
Assignment 1: Design and Analysis
|
15% |
5/09/2024 4:00 pm |
| Presentation, Project |
Assignment 2a: Presentation (Team)
|
25% |
21/10/2024 12:00 pm |
| Paper/ Report/ Annotation, Project |
Assignment 2b: Operations Analysis Report (Team)
|
20% |
25/10/2024 4:00 pm |
| Examination |
Final Exam
|
40% |
End of Semester Exam Period 2/11/2024 - 16/11/2024 |
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
Assignment 1: Design and Analysis
- Online
- Mode
- Product/ Artefact/ Multimedia
- Category
- Project
- Weight
- 15%
- Due date
5/09/2024 4:00 pm
- Learning outcomes
- L01, L02, L03, L05
Task description
Design and Analysis Assignment is an individual assignment that allows students to practice applying the concepts and knowledge covered in the lecture and computer lab sessions to develop further and explore these ideas/methods. Students are tasked to design and build a discrete-event or agent simulation model of given operations while conducting analysis with presenting results.
This assessment task evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Assessment must be submitted through the course BlackBoard site.
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.
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.
Assessments must be submitted on or before the due date. Late submissions of assessment items will only be accepted if approval for late submission has been obtained through the course coordinator prior to the due date.
Assignment 2a: Presentation (Team)
- Hurdle
- Identity Verified
- Team or group-based
- In-person
- Mode
- Activity/ Performance, Oral
- Category
- Presentation, Project
- Weight
- 25%
- Due date
21/10/2024 12:00 pm
- Other conditions
- Time limited, Peer assessment factor.
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
The presentation aims to demonstrate how your team could improve chosen operations using analytical methods and simulation techniques in the provided construction project. The presentation should include your verification and validation methods used in the analysis.
Each team must give a 15-minute-long presentation. Every member of the team must participate in the presentation. 15% (out of 25%) of the mark is based on the overall team performance, and 10% (out of 25%) is for each individual.
- The presentation will be recorded for re-mark purposes if required.
- The recording will be stored and treated in confidence.
- The recording will be retained for at least 1 year after the release of course grades.
- The recording will only be accessed for the purposes of moderation of marking; provision of feedback; or re-marking following a successful re-mark application.
The presentations will be made during the LEC/ICT class in Week 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
Students must present (oral presentation) their project to pass the course. Students who fail to present their work or get less than 40% mark in the oral presentation will have their overall mark capped at 49% and will receive a grade no higher than 3.Submission guidelines
Not a submissible item.
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 there are exceptional circumstances an exemption may be approved and may involve presenting the whole project alone without any other group members at a later date. Exemptions must be requested as an extension with a note specifying exemption via my.UQ.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
Assessment is an oral presentation by each member of the team. Thus, there is no late submission.
Assignment 2b: Operations Analysis Report (Team)
- Team or group-based
- Mode
- Written
- Category
- Paper/ Report/ Annotation, Project
- Weight
- 20%
- Due date
25/10/2024 4:00 pm
- Other conditions
- Peer assessment factor.
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
This project report task is to demonstrate the design and analysis of the chosen operations presented in Assignment 2a. This Assignment aims to show detailed analyses conducted with results. Simulation models used in the analysis are also required to submit.
This assessment task evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Assessment must be submitted through the course BlackBoard site
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 for group work assessment may be available and will require a single request submitted with agreement from at least 50% of the members of the group, and recognition of potential impacts on the other group members. Student Access Plans for an individual student do not guarantee an extension for the assessment item.
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.
Assessments must be submitted on or before the due date. Late submissions of assessment items will only be accepted if approval for late submission has been obtained through the course coordinator prior to the due date.
Final Exam
- Hurdle
- Identity Verified
- In-person
- Online
- Mode
- Written
- Category
- Examination
- Weight
- 40%
- Due date
End of Semester Exam Period
2/11/2024 - 16/11/2024
- Other conditions
- Time limited.
- Learning outcomes
- L01, L02, L03, L05
Task description
The final exam will be a computer exam. You will be provided with the description of operations and be required to build a discrete-event or agent-based simulation using AnyLogic software. You will then need to find an optimal solution for the given operations. The accuracy and completion of the model, as well as the optimal operational setting, will be assessed.
The following will be assessed:
- Accuracy and completion of task
- Model complexity and readability
- Experiment design + results and data generation
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
To receive an overall grade of 4 or more, a student must achieve at least 40% on the final exam.Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 180 minutes |
| Calculator options | (In person) Casio FX82 series or UQ approved , labelled calculator only |
| Open/closed book | Open Book examination |
| Materials | Nominated device for Multi-Factor Authorisation |
| Exam platform | Other |
| Invigilation | Invigilated in person |
Submission guidelines
AnyLogic simulation model is submitted to Learn.UQ.
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) | 1 - 19.99 |
Absence of evidence of achievement of course learning outcomes. Course grade description: As for grade of 2 and the student fails to complete the assessment for the course. |
| 2 (Fail) | 20 - 44.99 |
Minimal evidence of achievement of course learning outcomes. Course grade description: The student fails to demonstrate sufficient knowledge or understanding of the underlying concepts. Much of the information provided is inaccurate and irrelevant. |
| 3 (Marginal Fail) | 45 - 49.99 |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: Some knowledge of the subject is evident but the student demonstrates limited understanding of the underlying concepts. A substantial part of information provided is inaccurate or irrelevant. |
| 4 (Pass) | 50 - 64.99 |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The student demonstrates sound knowledge and at least partial understanding of the underlying concepts. Has some correct and some incorrect information. |
| 5 (Credit) | 65 - 74.99 |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The student demonstrates sound knowledge and sound 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. There is a demonstrated ability to solve previously unseen problems. There are only minor factual inaccuracies and there is little irrelevant information. |
| 7 (High Distinction) | 85 - 100 |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: Key concepts are understood and can be used to solve previously unseen problems. There is evidence of critical analysis and an ability to synthesize information from different aspects of the subject. There are insignificant factual inaccuracies and there is very limited irrelevant information. |
Supplementary assessment
Supplementary assessment is available for this course.
Additional assessment information
Team Project
There is one team project. Students are required to actively participate in their teams - reflecting on lecture content, planning team tasks and reviewing the work of their peers during computer lab sessions. All students must contribute to the team project. This will be assessed by tutors and the course coordinator using meetings in the computer lab, computer lab participation, documented contributions, and a Peer Assessment Factor (PAF) evaluated using the Buddycheck peer evaluation tool. The maximum PAF of the team assignment is capped at 1.1. The minimum PAF is zero.
Exam Grades
Students must pass the assignment component (passing the assignments as a whole and not each individual assignment) with a grade of 4.
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.
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 13 |
Lecture |
Analytical Methods for the Desg of Const Ops The lectures will introduce the theory and the practice of analytical and computer simulation techniques. Learning outcomes: L01, L02, L03, L04, L05 |
Multiple weeks From Week 3 To Week 13 |
Information technology session |
Workshop / Computer Lab The computer lab sessions will provide students with the opportunity to practice statistical analysis and simulation modelling by applying the fundamentals and methods presented in the lectures. Students will work in teams for the project assessment tasks. 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 - 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: