Outline

Overview

This unit aims to explore the scientific concepts of architectural science (including heat, light and sound) from which foundational principles and methods applicable to buildings are developed. It is divided into different topics, including climate, thermal environment, lighting, and acoustics. Students will gain an understanding of the terminology, physical values and metrics in each of these topics, and how they apply to the design and function of buildings. Theoretical models to predict key physical values in buildings are presented and used in assessments. Learning is supported by hands-on measurement exercises. This unit has a focused pedagogy intended for all graduate students in Architectural Science. It is a common core unit for all of the programs (Audio and Acoustics, High Performance Buildings, Illumination Design and Sustainable Design). Students within these programs should undertake this unit in their first semester of study if possible.

Unit details and rules

Academic unit	Architectural and Design Science
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Jungsoo Kim, jungsoo.kim@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Assignment 1: measurement and observation Report	40%	Week 09 Due date: 28 Apr 2022 at 23:59	No more than 4 pages in A4 size
Outcomes assessed:
Assignment	Assignment 2: performance improvement strategies Report	60%	Week 13 Due date: 23 May 2022 at 23:59	No more than 10 pages in A4 size
Outcomes assessed:

Assessment summary

Assignment 1 – Building performance assessment via measurement and observation: The goal of this assignment is to understand the fundamental principles of building science (heat, light and sound). You will make observations and take instrumental measurements to analyse different physical properties of a building/space.
Assignment 2 – Building performance improvement strategies: Students are tasked to improve the performance of the building or spaces they have investigated for the first assignment. You’re required to make a logical and compelling argument, grounded in empirical evidence produced as part of the first assignment.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a High distinction indicates work of an exceptional standard, a Distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100	Work of outstanding quality, demonstrating mastery of the learning outcomes assessed. The work shows significant innovation, experimentation, critical analysis, synthesis, insight, creativity, and/or exceptional skill.
Distinction	75 - 84	Work of excellent quality, demonstrating a sound grasp of the learning outcomes assessed. The work shows innovation, experimentation, critical analysis, synthesis, insight, creativity, and/or superior skill.
Credit	65 - 74	Work of good quality, demonstrating more than satisfactory achievement of the learning outcomes assessed, or work of excellent quality for a majority of the learning outcomes assessed.
Pass	50 - 64	Work demonstrating satisfactory achievement of the learning outcomes assessed.
Fail	0 - 49	Work that does not demonstrate satisfactory achievement of one or more of the learning outcomes assessed.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Work submitted after the deadline will incur a penalty of 5% of the total marks earned for the assessment per calendar day. Work submitted 20 calendar days or more after the deadline will not be assessed and will receive a mark of zero.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	1. Introduction to program in Architectural Science; 2. Introduction to the unit; 3. Heat transfer in buildings	Lecture (4 hr)
Week 01	Tutorial activities - building heat transfer and thermal mass	Tutorial (3 hr)
Week 02	1. Energy and buildings 2. Climate and microclimate 3. Urban microclimate and buildings	Lecture (4 hr)
Week 02	Tutorial activities - urban microclimate	Tutorial (3 hr)
Week 06	1. Introduction to lighting design; 2. Lighting technologies and lighting standards	Lecture (4 hr)
Week 06	Tutorial activities - lighting	Tutorial (3 hr)
Week 07	1. Basic physics of sound. 2. Controlling background sound and sound intrusion.	Lecture (4 hr)
Week 07	Tutorial activities - acoustics	Tutorial (3 hr)
Week 10	1. Building services 2. Building retrofit strategies 3. Case studies	Lecture (7 hr)

Attendance and class requirements

Please refer to the Resolutions of the University School: http://sydney.edu.au/handbooks/architecture/rules/faculty_resolutions.shtml

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. understand the fundamental principles of Architectural Science (including heat, light, wind and sound)
LO2. understand the principles of measurement and of selection and calibration of instrumentation
LO3. understand the principles of prediction of performances through calculations and/or simulations and how to apply those principles to case studies analysis
LO4. demonstrate an improvement in the ability of critical thinking and of critical analysis of evidence
LO5. integrate the knowledge in the field of Architectural Science and apply it in the individual areas of interests
LO6. improve the ability to critically and synthetically analyse the issues, and to efficaciously communicate the technical information.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Some minor changes have been implemented based on the USS feedback received in the past years. Some lecture contents have been modified due to change in teaching staff.

Additional information

Additional costs

Additional costs may be incurred for those students learning remotely: e.g. purchase of instrument such as infrared thermometer and smartphone app

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Additional costs

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

DESC9200: Introduction to Architectural Science

Semester 1, 2022 [Block mode] - Remote

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Additional costs

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect