[SOLVED] algorithm graph Course Outline Term 1, 2019

Course Outline Term 1, 2019
Built Environment
CODE2170
Building Information Modelling
A/Professor Lan Ding
@ Sydney Opera House

CONTENTS
1. COURSE STAFF .. 3 2. COURSE DETAILS.. 3 Description .3 Aims ..3 Course Learning Outcomes (CLOs)..4 Program Learning Outcomes (PLOs)4
Alignment of Course Learning Outcomes (CLOs), Program Learning Outcomes (PLOs), and Assessment .4
3. TEACHING STRATEGIES AND APPROACH TO LEARNING . 5
Expectations of Students .5
4. ASSESSMENT 6
Assessment Criteria and Standards 8
Feedback Strategy ..8
5. WEEKLY COURSE SCHEDULE .. 9 6. COURSE IMPROVEMENT AND FEEDBACK. 10 7. ADMINISTRATIVE MATTERS. 11
CODE2170 Building Information Modelling, Term 1, 2019 2

1. COURSE STAFF
Course Convenor
A/Professor Lan Ding
Office Location
2021, Red Centre Building, UNSW
Email
[email protected]
Phone
9385 5593
Consultation
By appointment organise via email.
Tutor(s)
William Craft Samaneh Arasteh Behnaz Avazpour Matthew Burnett
Jie Feng
Charlotte Firth William Maynard Harris Paneras Manveer Singh Nijjar Geremy Yip Kingsley Castillo
[email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected]
2. COURSE DETAILS
Credit Points
6 units of credit (uoc)
Workload
Approx. 150 hours including class contact hours, weekly individual and group online learning activities, readings, class preparation, and assessment activities.
Teaching Times and Location
Find details in timetable http://www.timetable.unsw.edu.au
Learning Activity
Hours per week
Lecture
1
Tutorial
Studio
0
Computer Lab
3
Online learning activity
1
Description
Aims
Course Aim 1: The course will enable students to understand recent development in Building Information Modelling and be able to translate this knowledge into their own professional background.
Course Aim 2: Further students will gain hands-on modelling, documentation and analysis skills and are able to use a range tools to conduct BIM modelling, documentation and analysis work as well as team collaboration practices.
CODE2170 Building Information Modelling, Term 1, 2019 3
The Building Information Modelling course introduces students to understand concepts and methods of Building Information Modelling (BIM), BIM standards, and BIM in an urban context. Students generate high- performance building design through Building Information Modelling (BIM) and environmental analysis, while applying advanced skills for documentation and visualisation of buildings. Students will collaborate in multi- disciplinary teams to achieve optimal design solutions, and their performance will be evaluated with respect to their progressive work developed in preparation for or during the project activities.

Course Learning Outcomes (CLOs)
At the successful conclusion of this course, you will be able to:
1. Explain concepts and methods of Building Information Modelling (BIM), BIM standards, and BIM in urban context.
2. Apply advanced skills in Building Information Modelling (BIM) for the design, documentation and visualization of buildings.
3. Achieve high-performance building design analysis through Building Information Modelling (BIM)
4. Apply advanced skills in Building Information Modelling (BIM) to collaborate in multi-disciplinary
teams to achieve optimal design solutions.
Program Learning Outcomes (PLOs)
Architectural Studies (ARCH) Program Learning Outcomes are:
1. Apply social, ethical, environmental and regulatory knowledge and skills to architectural design, documentation and delivery.
2. Demonstrate competent skills in architectural enquiry through research, analysis, critique and reflection.
3. Apply communication skills which are precise, persuasive and creative using a variety of methods and media.
4. Acquire self-directed disciplinary knowledge and demonstrate reflective practice in relation to architectural problem solving.
5. Exercise informed ethical judgement in scholarship and architectural practice.
6. Demonstrate the ability to work collegially and productively in teams encompassing diverse cultural
and disciplinary affiliations.
Computational Design (CODE) Program Learning Outcomes are:
1 Synthesise interdisciplinary knowledge of cultural, natural, and technological systems in local and global contexts.
2 Apply interdisciplinary knowledge using computational design thinking and methods to built environment challenges.
3 Critically analyse complex environmental conditions through digital technologies and computational methods.
4 Apply computational design knowledge and skills for professional work and, or further learning.
5 Practice the ethical application of digital and computational technologies in and for the design of the
built environment.
Alignment of Course Learning Outcomes (CLOs), Program Learning Outcomes (PLOs), and Assessment
CLO #
CLO Statement
PLO #
Related Assessment & Activities
CLO 1
Explain concepts and methods of Building Information Modelling (BIM), BIM standards, and BIM in urban context.
ARCH 1 ARCH 4 CODE 4 CODE 5
Assignment 1 Building Information Modelling (BIM) Project
CLO 2
Apply advanced skills in Building Information Modelling (BIM) for the design, documentation and visualization of buildings.
ARCH 1 ARCH 4 CODE 4 CODE 5
Assignment 1 Building Information Modelling (BIM) Project
CLO 3
Achieve high-performance building design analysis through Building Information Modelling (BIM)
ARCH 1 ARCH 2 ARCH 4 ARCH 6 CODE 2 CODE 3 CODE 4
Assignment 2 BIM- based multi-disciplinary performance analysis and team collaboration
CODE2170 Building Information Modelling, Term 1, 2019 4

CODE 5
CLO 4
Apply advanced skills in Building Information Modelling (BIM) to collaborate in multi-disciplinary teams to achieve optimal design solutions
ARCH 1 ARCH 2 ARCH 4 ARCH 6 CODE 2 CODE 3 CODE 4 CODE 5
Assignment 2 BIM- based multi-disciplinary performance analysis and team collaboration
3. TEACHING STRATEGIES AND APPROACH TO LEARNING
This course enables students to develop digital modeling and analysis skills that will enhance professional practice in architecture, engineering and construction. There are three aspects to the teaching in this course:
FacetoFace and Online Classes: the course is structured around a weekly lecture, a weekly online tutorial and personal support facetoface at specific times in the computer labs. The lectures will range in theme, but are designed to provide the necessary understanding of current and future trends in Building Information Modelling (BIM) in the built environment disciplines. The weekly online tutorial will introduce advanced modelling skills to assist students in practical application of the knowledge gained. The lab tutorial classes will provide assistance about project work, etc.
On-line Resources: Moodle is used in this course to provide the weekly online tutorial, learning resources and general course management.
Homework: students are required to complete a steady stream of work each week outside classes. A set of demonstration videos are available to provide students with self-directed guide.
The course has Assignment 1: Building Information Modelling (BIM) Project, Assignment 2: BIM-based Multi- disciplinary Performance Analysis and Team Collaboration, and a quiz.
This course represents onequarter of your Sessions workload. Therefore, you will be expected to put in around 12 hours of time into this course each week (contact plus noncontact time). It is important that you allocate that time every week so that you develop your skills and understanding steadily throughout the semester.
The lectures and online and computer lab tutorials are compulsory and attendance will be monitored and recorded, forming a key participation component of the assessment. Anything less than full and active participation is considered unsatisfactory.
You will find that you have a steady stream of work to complete each week outside classes. Computing projects cannot be left to the last minute without causing you enormous stress and risking catastrophic failure.
If you experience any difficulties please refer to Special Consideration, Late Work and other policies in the BE Policy Outline at: https://www.be.unsw.edu.au/sites/default/files/upload/pdf/currentstudents/LearningTeaching/BE_AcademicP olicyOutline2015.pdf
Expectations of Students
CODE2170 Building Information Modelling, Term 1, 2019 5

4. ASSESSMENT
Assessment task
Weight
CLOs Assessed
PLOs Assessed
Due Date & Time
1. Quiz
5%
1
ARCH 1 ARCH 4 CODE 4 CODE 5
Week 3
2. Assignment 1: Building Information Modelling (BIM) Project
50%
1, 2
ARCH 1 ARCH 4 CODE 4 CODE 5
Week 7
3. Assignment 2: BIM-based Multi-disciplinary Performance Analysis and Team Collaboration
45%
3, 4
ARCH 1 ARCH 2 ARCH 4 ARCH 6 CODE 2 CODE 3 CODE 4 CODE 5
Wee 12
Assignment 1 (Building Information Modelling Project) TOTAL 50%
During the first half of the semester, students are required to design and model a small building in response to a given brief, including the production of the BIM model, a rendered visualisation and a set of 2D drawings extracted from that model and appropriately annotated and structured as a documentation set. This will be a staged task over 7 weeks, during which students will be given 7 online tutorials and 7 face-to-face computer lab tutorials that will progressively guide students to complete the BIM project work. As students work through each tutorial, they are required to apply the techniques to the construction of their building model.
The Building Information Modelling Project Hand in Week 7 will count a 50% of total mark in the course. Hand in Date is on Sunday 7 April (WEEK 7) by 5.00pm via Moodle course site.
Detailed project brief will be provided at Moodle course site.
Name:
Online Tutorial (Week 1)
Computer Lab Tutorial (Week 1)
Description:
BIM project process using Revit
Common problems found from the past student project works
Understand BIM concepts, methods and processes by reading lecture notes and reference articles
Understand Assignment 1 project requirements
Plan for the building design based on the site
given and design requirements
Model the site topography and boundary
Establish building storeys and floor levels of
the design
Name:
Online Tutorial (Week 2)
Computer Lab Tutorial (Week 2)
Description:
BIM project in the real world
Understand parametric modelling concepts
Model building elements of the design, including walls, windows, columns, roofs, spaces, furniture, etc
CODE2170 Building Information Modelling, Term 1, 2019 6

Name:
Online Tutorial (Week 3)
Computer Lab Tutorial (Week 3)
Description:
BIM extension using Dynamo & Grasshopper, providing access to data and algorithms to automate BIM tasks
Understand advanced BIM techniques, e.g. visual scripting using Dynamo & Grasshopper
Continue to model building elements of the design, including walls, windows, columns, roofs, spaces, furniture, etc
Name:
Online Tutorial (Week 4)
Computer Lab Tutorial (Week 4)
Description:
Creation of Revit families (i.e. library objects) (part 1)
Develop detailed BIM model
Understand and create family objects (i.e. library objects)
Name:
Online Tutorial (Week 5)
Computer Lab Tutorial (Week 5)
Description:
Documentation (including detailed wall section) (part 1)
Continue to develop detailed BIM model and a family object
Dimension and annotate the drawings
Create a detailed wall section (Option 1)
showing an understanding of construction details
Name:
Online Tutorial (Week 6)
Computer Lab Tutorial (Week 6)
Description:
Documentation (including interior detailed plan and schedule) (part 2)
3D rendering of the model
Understand BIM-based 3D collaborative virtual environments
Create interior detailed plan and schedule (Option 2)
Create 3D rendering of the model
Name:
Online Tutorial (Week 7)
Computer Lab Tutorial (Week 7)
Description:
Creation of Revit families (i.e. library objects) (part 2)
Answering questions
Understand BIM-based LCA
Complete the BIM model
Export the final drawing set of the BIM model to PDF
Assignment 2 (BIM-based Multi-disciplinary Performance Analysis and Team Collaboration) TOTAL 45%
Students will form a group of 3 people to undertake the BIM-based performance analysis of a building model selected from the three produced by the members of the group in the Assignment 1. Each group member will undertake a different performance analysis (e.g. an analysis of energy performance, cost, compliance with design requirements or selected Building Code clauses) and the analysis result will be reported back to the group in order to produce the Assignment 2 team report.
Each group will discuss the findings from their analyses and agree on a set of design changes. Each member will then incorporate design changes and re-test it. The team will collaborate to produce a final team report for submission, which consists of both individual analysis reports and team discussions.
The BIM-based Multi-disciplinary Performance Analysis and Team Collaboration Project Hand in Week 12 will count a 45% of total mark in the course. Hand in Date is on Sunday 12 May (Week 12) by 5.00pm via Moodle course site.
Detailed project brief will be provided at Moodle course site.
CODE2170 Building Information Modelling, Term 1, 2019 7

Name:
Online Tutorial (Week 8)
Computer Lab Tutorial (Week 8)
Description:
Energy performance modelling and analysis, including how to set up parameters, etc.
Understand multi-disciplinary performance analysis, team collaboration and Assignment 2 project requirements
Undertake energy analysis using one of BIM- based analysis tools (e.g. Revit Energy Analysis, Insight360, Safaira)
Name:
Online Tutorial (Week 9)
Computer Lab Tutorial (Week 10)
Description:
Explanation on how to set up rules to conduct model check (or automated building code compliance check)
Cost analysis
Undertake multi-disciplinary design analysis using CostX and SolibriModelChecker
Name:
Online Tutorial (Week 10)
Computer Lab Tutorial (Week 10)
Description:
Summary of integration of BIM and Architecture studio project
Understand use of BIM in architectural design process
Work on the team report for submission
Assessment Criteria and Standards
Assessment criteria and standards will be provided in detailed Project Brief on Moodle course site.
Feedback Strategy
Students will gain information about their process in class via 3 basic levels.
Firstly, the goals of the class are clearly defined in the course outline and discussed at the beginning of each Assignment and the learning steps within the assignment are explained in the weekly lectures and tutorials. Here students will understand how their performance relates to the broad goals of the course.
Secondly, students will get feedback in each class (during the computer lab tutorial hours) upon their performance. Tutors will help students in one-to-one sessions to discuss and analyse how successful they have been at addressing the task and its criteria of each assignment and the learning steps within the assignment.
Thirdly, students will get structured written feedback on their assignment work and how improvements could be made via the online Moodle system.
Assessment task
Feedback Mechanism
Feedback Delivery Date
Quiz
Quiz results
20/3/2019
Assignment 1: Building Information Modelling (BIM) Project
Written feedback in Moodle
17/4/2019
Assignment 2: BIM-based multi- disciplinary performance analysis and team collaboration
Written feedback in Moodle
22/5/2019
CODE2170 Building Information Modelling, Term 1, 2019 8

5. WEEKLY COURSE SCHEDULE
The following course schedule may be subject to change during the semester. Students will be informed of changes in lectures and via Moodle.
Week
Lecture Topic
Online Tutorial
Computer Lab Tutorial
Related CLO
Week 1
BIM Concepts, Methods and Processes
BIM project process using Revit
Common problems found from the past student project works
Understand BIM concepts, methods and processes by reading lecture notes and reference articles
Understand BIM project process and Assignment 1 project requirements
Plan for the building design based on the site given and design requirements
Model the site topography and boundary
Establish building storeys and floor levels of the design
1, 2
Week 2
BIM and Parametric Modelling
BIM project in the real- world
Understand parametric modelling concepts
Model building elements of the design, including walls, windows, columns, roofs, spaces, furniture, etc
1, 2
Week 3
Guest Lecture Digitalisation, Creation of Digital Twin in the AEC Industry and Common Data Element in BIM Adoption (Vinayak Trivedi, Vice President, Bentley Institute)
BIM extension using Dynamo & Grasshopper, providing access to data and algorithms to automate BIM tasks
Understand advanced BIM techniques, e.g. visual scripting using Dynamo & Grasshopper
Continue to model building elements of the design, including walls, windows, columns, roofs, spaces, furniture, etc
1, 2
Quiz in Week 3, Weighting: 5%
1
Week 4
Guest Lecture How Building Information Modelling Standards Can Improve Productivity, Performance, Quality & Life Cycle Operations (Professor John Mitchell, Former Chair, buildingSMART)
Creation of Revit families (i.e. library objects) (part 1)
DevelopdetailedBIMmodel Understandandcreatefamily
objects (i.e. library objects)
2
Week 5
Guest Lecture BIM Projects in Building Practice (Stephen Taskin, Woods Bagot)
Documentation (including detailed wall section) (part 1)
Continuetodevelopdetailed BIM model
Dimensionandannotatethe drawings
Createadetailedwallsection (Option 1) showing an understanding of construction details
2
CODE2170 Building Information Modelling, Term 1, 2019 9

Week 6
BIM and 3D Collaborative Virtual Environments
Documentation (including interior detailed plan and schedule) (part 2)
3D rendering of the model
Createinteriordetailedplanand schedule (Option 2)
Create 3D rendering of the model
Understand BIM-based 3D collaborative virtual environments
2
Week 7
BIM for Life Cycle Analysis (LCA) of Design
Creation of Revit families (i.e. library objects) (part 2)
Answering questions
UnderstandBIM-basedLCA
CompletetheBIMmodel
Exportthefinaldrawingsetof
the BIM model to PDF
2, 3
Assignment 1 Due in Week 7, Weighting: 50%
1, 2
Week 8
BIM for Multi-disciplinary Performance Analysis and Team Collaboration
Energy performance modelling and analysis, including setting up parameters, etc.
Understand multi-disciplinary performance analysis, team collaboration and Assignment 2 project requirements
Undertake energy analysis using one of BIM-based analysis tools (e.g. Revit Energy Analysis, Insight360, Safaira)
3, 4
Week 9
Rule-based Model Checking and Analysis
Explanation on how to set up rules to conduct model check (and/or automated building code compliance check)
Cost analysis
Undertake multi-disciplinary design analysis using CostX and SolibriModelChecker (a rule- based system)
3, 4
Week 10
BIM-GIS Integration for Urban Analysis and Development
Summary of integration of BIM and Architecture studio project
Understand use of BIM in architectural design process
Work on the team report for submission
3, 4
Assignment 2 Due in Week 12, Weighting: 45%
3, 4
6. COURSE IMPROVEMENT AND FEEDBACK
Response to previous student feedback
Student feedback (formal and informal) on the course will be gathered through MyExperience course report, student forum in Moodle and face-to-face communication in tutorial classes. Teaching staff will respond to student feedback on time and improve the student learning experience.
Examples of previous student feedback
Response
I learn a lot from the lectures that introduce us to the real world. Really helpful to know how the pro architects work using advanced tech
Noted
Have ability of creating complex architectural model and analysis
Noted
The contents of the assignments were clearly and very useful, and I can see how and why I would use this in the workplace. Very useful course!
Noted
CODE2170 Building Information Modelling, Term 1, 2019 10

Improve smooth connection between lecture and tutorial
Improved connection between lecture, online tutorial and computer lab tutorial
The overall structure of the course is good. For further improvement I have couple of suggestions. The assessments were appropriate to the course, however limited experience of what BIM actually has been practiced. I think it will be useful for students to export geometry as IFC and in a cloud, to represent the collaboration that is expected in industry. Furthermore, a lot of the tutorials could have been completed online, from home. No necessary weekly tutorials are needed. The tutors have overall been helpful at times however there is no need to meet with them as often as we do at the moment. Keep it up! Great work!
Guest Lecture from the building industry to introduce BIM in practice in the real-world
Explored the opportunity to use IFC / BIM server to support collaboration when needed
Combined computer lab tutorials with online tutorials
7. ADMINISTRATIVE MATTERS
Learning Support Services
myExperience Course and Teaching Evaluation
Built Environment Student Attendance Requirements
Units of Credit (UOC) and Student Workload
Assessment Policy and Procedures
Academic Honesty and Plagiarism
Grades
Late Submissions Penalties
Special Consideration Illness & Misadventure
Extension of Deadlines
Student Complaints and Appeals
Policies and Procedures for Research Candidates
Health & Safety
The Built Environment Protocols and UNSW Policies & Procedures document supplements this course outline providing detail on academic policies and other administrative matters. It is your duty as a student to familiarise yourself with the policies and guidelines as not adhering to them will be considered as academic misconduct. Ignorance of the rules is not an acceptable defence.
The document can be found in your Moodle course as well as:
https://intranet.be.unsw.edu.au/student/be-learning-teaching/academic-policies
It covers:
CODE2170 Building Information Modelling, Term 1, 2019 11