Outline

Overview

New Music, New Thinking is designed to challenge the way in which students understand the music of our time. Through analyses of recent music and artistic themes, discussion and creative tasks, students will be exposed to a variety of compositional techniques, concepts and aesthetics. The content and assessment of this subject will enable students to further develop critical thinking concerning their future contribution to the world of new music be it in composition, performance, musicology or education.

Unit details and rules

Academic unit	Composition and Music Technology
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Natalie Williams, natalie.williams@sydney.edu.au

Assessment

The census date for this unit availability is 1 September 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Written exam ?	Final Written Exam Analysis essay on two provided works (approx.1,500 words)	40%	Formal exam period	2 hours	AI prohibited
Outcomes assessed:
Out-of-class quiz	Early Feedback Task - Canvas Quiz Canvas quiz on unit content from weeks 1-3 #earlyfeedbacktask	10%	Week 03 Due date: 22 Aug 2025 at 23:59	Open	AI allowed
Outcomes assessed:
Creative work	Group Video Presentation Compare two contemporary works, video presentation	20%	Week 06 Due date: 12 Sep 2025 at 23:59	6 minutes (in pairs, 3 mins each)	AI allowed
Outcomes assessed:
Creative work	Composition, Essay, or Performance Original composition (1 min) plus 500 words, [OR] short essay (1,000 words), [OR] recorded performance (1 min) plus 500 words	20%	Week 09 Due date: 10 Oct 2025 at 23:59	Variable (see Canvas)	AI allowed
Outcomes assessed:
Attendance - accreditation or faculty requirement	Attendance throughout the semester Class attendance: Students must attend a minimum of 90% of timetabled activities for a unit of study, unless granted exemption by the Dean, Head of School or professor most concerned.	10%	Weekly	Semester	Not applicable
Outcomes assessed:
= group assignment ? = early feedback task ?

Early feedback task

This unit includes an early feedback task, designed to give you feedback prior to the census date for this unit. Details are provided in the Canvas site and your result will be recorded in your Marks page. It is important that you actively engage with this task so that the University can support you to be successful in this unit.

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The following assessment criteria are used for this unit of study:

Result name	Mark range	Description
High distinction	85 - 100	Demonstrates high level of initiative in research and reading; sophisticated critical analysis of evidence; high level engagement with theoretical issues, innovative use of reading/research material and impressive command of underlying debates and assumptions; properly documented and written with style, originality and precision.
Distinction	75 - 84	Demonstrates initiative in research and wide, appropriate reading; complex understanding of question and ability to critically review material in relation to underlying assumptions and values; analyses material in relation to empirical and theoretical contexts; properly documented; clear, well-developed structure and argument with some signs of literary style.
Credit	65 - 74	Evidence of broader understanding than pass level; offers synthesis with some critical evaluation of material; coherent argument using a range of relevant evidence; some evidence of independent thought, good referencing. A high credit (70-74) shows some evidence of ability to problematise and think conceptually.
Pass	50 - 64	Written work meets basic requirements in terms of reading/research; relevant material; tendency to descriptive summary rather than critical argument; makes a reasonable attempt to avoid paraphrasing; reasonably coherent structure; often has weaknesses in particular areas, especially in terms of narrow or underdeveloped treatment of question; acceptable documentation.
Fail	0 - 49	Work may fail for any or all of the following reasons: Unacceptable paraphrasing; irrelevance of content; poor spelling; poor presentation; grammar or structure so sloppy it cannot be understood; failure to demonstrate understanding of content; insufficient or overlong word length.

Please see Canvas for further assignment criteria and submission information.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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:

Late penalties apply as per the Student Handbook.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Historical Forms, Contemporary Language	Lecture and tutorial (2 hr)
Week 02	Sound Mass and Texture	Lecture and tutorial (2 hr)
Week 03	Complexity and Totalism	Lecture and tutorial (2 hr)
Week 04	Atonality and Serialism	Lecture and tutorial (2 hr)
Week 05	Aleatoricism and Game Music	Lecture and tutorial (2 hr)
Week 06	Minimalism	Lecture and tutorial (2 hr)
Week 07	Cross-Cultural Contexts	Lecture and tutorial (2 hr)
Week 08	Experimentalism and Context Works	Lecture and tutorial (2 hr)
Week 11	Electroacoustic Music	Lecture and tutorial (2 hr)
Week 12	Music and Social Change	Lecture and tutorial (2 hr)
Week 13	Music and the Natural World	Lecture and tutorial (2 hr)

Attendance and class requirements

Attendance: Students must attend a minimum of 90% of timetabled activities for a unit of study, unless granted exemption by the Dean, Head of School or professor most concerned. The Dean, Head of School or professor most concerned may determine that a student fails a unit of study because of inadequate attendance. Alternatively, at their discretion, they may set additional assessment items where attendance is lower than 90%.

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

Please see Canvas for prescribed reading list and resources.

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. Demonstrate critical thinking and inventiveness within the discipline and develop a wide knowledge of the styles and trends of contemporary music
LO2. Develop high-level skills in music analysis and communicate through written work
LO3. Demonstrate a wide understanding of contemporary styles and trends in music, and contextualise through analysis
LO4. Work collaboratively in group settings, communicate shared findings and present original work
LO5. Navigate, assess and apply relevant methodologies to the analysis of contemporary music and research
LO6. Apply creative musical skills to generate original works, situated within an historical canon, presenting an original creative voice
LO7. Understand and articulate the role of music in social, cultural and historical contexts

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.

This unit of study will be offered for the final time in Semester 2 of 2025.

Additional information

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

Early feedback task

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

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

Disclaimer

On this page

Useful links

CMPN1612: New Music, New Thinking

Semester 2, 2025 [Normal day] - Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Early feedback task

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

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

Disclaimer

On this page

Useful links