Outline

Overview

Rehearsals prepare members for public concerts at the end of each semester. The music chosen covers oratorio and large choral works in association with the Sydney Conservatorium Symphony Orchestra, the Sydney Conservatorium Chamber Orchestra, or the Early Music Ensemble. No auditions required. (Rehearsals are usually held on Thursdays, refer to timetable for details).

Unit details and rules

Academic unit	Performance
Credit points	3
Prerequisites ?	ENSE1042
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Elizabeth Scott, elizabeth.r.scott@sydney.edu.au
Tutor(s)	Elizabeth Scott, elizabeth.r.scott@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
Out-of-class quiz	Early Feedback Task - Canvas quiz Mandatory Early Feedback Task - Canvas quiz #earlyfeedbacktask	0%	Week 03 Due date: 21 Aug 2025 at 23:59	-	AI allowed
Outcomes assessed:
In-person practical, skills, or performance task or test	Performance assessment Performance Assessment - Detailed information can be found on canvas	30%	Week 13	-	AI prohibited
Outcomes assessed:
In-person practical, skills, or performance task or test	Rehearsal preparation and professionalism Rehearsal preparation and professionalism - details can be found on canvas	70%	Weekly	-	AI prohibited
Outcomes assessed:
= hurdle task ? = 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

Ongoing assessment: Assessment is undertaken continuously and holistically in this unit based on all aspects of preparation, participation and performance in the ensemble.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

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

Result name	Mark range	Description
High distinction	85 - 100	Comprehensive and outstanding technical control and musical integrity in relation to developmental expectations. Musical individuality consistently projected to create a persuasive personal representation of the work. Performance flair indicative of soloist standard. A mark of 95 or above indicates extraordinary technical virtuosity and musical artistry.
Distinction	75 - 84	Excellent technical, musical and stylistic achievement. Consistently coherent and expressive performance. Some personal interpretation of the work suggesting soloist potential.
Credit	65 - 74	Confident technique with evidence of solid musicality and some stylistic achievement. Occasional lapses indicative of unresolved technical, artistic and/or stylistic issues. Projects potential for further development.
Pass	50 - 64	Satisfactory level of preparation and musical engagement. Some inconsistencies in musicianship, style and/or technique. Musical imagination and overall performance sense developing though some insecurity in this area.
Fail	0 - 49	Unsatisfactory technical achievement and/or unsatisfactory level of musical and artistic engagement. Limitations may be of such a scale and consistency as to call into question the student’s future direction in the programme.

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.

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	Learning outcomes
Week 13	Performance	Performance (1.5 hr)
Weekly	Weekly rehearsals preparing repetoire for performance.	Practical (3 hr)

Attendance and class requirements

Attendance: Students are expected to 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 3 credit point unit, this equates to roughly 60-75 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 accuracy of intonation
LO2. demonstrate vocal technique appropriate to ensemble situations
LO3. demonstrate choral blend through matching of vowel colour and attention to dynamics
LO4. demonstrate language skills in a number of languages
LO5. demonstrate rhythmic accuracy, coherence and the ability to follow the conductor and the resultant musical flexibility to achieve artistic goals
LO6. demonstrate ensemble skills (through paying attention to the above)
LO7. demonstrate stylistic skills related to repertoire
LO8. demonstrate sight reading skills
LO9. demonstrate a commitment to maintaining a high level of concentration during rehearsals and performances
LO10. demonstrate adequate preparation and professional conduct, including punctuality, full participation and responsibility for music scores, pencils and other appropriate materials required at rehearsals.

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

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

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

ENSE2043: Choir 3

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

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links