Outline

Overview

Refer to CMPN4610. In this unit CMPN4666 Advanced Analysis, and a further 6cps in an approved unit of study (free choice) is embedded into this unit.

Unit details and rules

Academic unit	Composition and Music Technology
Credit points	12
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Helen Mitchell, helen.mitchell@sydney.edu.au

Type	Description	Weight	Due	Length
Creative assessment / demonstration	Composition portfolio Honours Composition Portfolio	50%	Formal exam period Due date: 15 Nov 2021 at 23:59	18-24 minutes
Outcomes assessed:
Participation	Free choice and Advanced Analysis Assessments as per units of study. Please see respective UoS descriptions.	20%	Multiple weeks	Ongoing
Outcomes assessed:
Honours thesis	Honours thesis Please see Canvas site for details.	30%	Week 11 Due date: 18 Oct 2021 at 23:59	8000-10000 words
Outcomes assessed:

Assessment summary

Free choice: This assessment includes 12 credit points in approved units of study (including Advanced Analysis) over 2 semesters.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

Award of the Honours Degree

The honours degree is awarded in classes ranging from First Class to Third Class according to the rules specified in the Resolutions of the Sydney Conservatorium of Music, and a single result is provided as an aggregated mark based on the Honours units of study the student has completed.
A candidate who does not meet the requirements for the award of honours and who otherwise has completed the requirements of the Bachelor of Music (Performance) shall graduate with the pass degree.
A student with an honours mark of 90 or above may be awarded a university medal. The medal is awarded at the discretion of the faculty to the highest achieving students who in the opinion of the faculty have an outstanding academic record, in accordance with the Coursework Rule.

Description	Mark Range
Honours Class I	mark = 80-100
Honours Class II (Division 1)	mark = 75-79
Honours Class II (Division 2)	mark = 70-74
Honours Class III	mark = 65-69
Honours not awarded to a mark below 65

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.

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
Weekly	Composition lesson	One-to-one tuition (1 hr)
	Advanced analysis (CMPN4666)	Seminar (2 hr)
	Dissertation seminar	Seminar (2 hr)

Attendance and class requirements

Attendance: Full (100 per cent) and punctual attendance is a requirement in all activities where students have a role as active participants in the class or activity. Active participation includes situations where the student's contribution is to perform, rehearse, or direct rehearsals in a small or large ensemble, or to give seminar and tutorial papers or presentations or undertake assessment tasks. Active participation also includes all one-to-one studio teaching and supervision. Except in cases of illness or misadventure, failure to attend activities or classes where a student is an active participant will be seen as failure to meet the requirements of the unit of study.

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 12 credit point unit, this equates to roughly 240-300 hours of student effort in total.

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 advanced critical thinking and writing skills
LO2. demonstrate advanced analytical skills
LO3. demonstrate a very high level of compositional craft, research capacity, and notation and production skills
LO4. demonstrate good discernment in compositional decisions
LO5. demonstrate confidence and independence in your creative practice.

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.

No changes have been made since this unit was last offered.

Additional information

Free choice: Free choice in semester 1 is Advanced analysis.

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

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

CMPN4611: Composition Honours B

Semester 2, 2021 [Normal day] - 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

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