MCGY2011: Semester 2, 2022

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Units MCGY2011 Semester 2 2022 [Normal day]

Unit outline_

MCGY2011: Harmony and Analysis 4

Semester 2, 2022 [Normal day] - Remote

Overview

The study of pre-20th century tonal harmony is completed with a consideration of chromatic techniques, particularly those found in the music of the first half of the 19th century. An exhaustive study of later 19th century chromaticism is beyond the scope of a course at this level, but is intended that students will at least acquire the ability to look further into the music of that period as they encounter it. In keeping with the stylistic orientation of the course, emphasis is placed upon developing facility with instrumental textures and working with some of the smaller forms found in 19th century music.

Unit details and rules

Academic unit
Credit points	3
Prerequisites ?	MCGY2010
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Lewis Cornwell, lewis.cornwell@sydney.edu.au
Lecturer(s)	Lewis Cornwell, lewis.cornwell@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam (Take-home short release)	Final exam Online examination	50%	Formal exam period	2.5 hours
Outcomes assessed:
Assignment	Chapter 28 Assignment Written assignment	5%	Week 02 Due date: 11 Aug 2022 at 23:59	Approx. 12-16 bars
Outcomes assessed:
Assignment	Chapter 30 Assignment Written assignment	5%	Week 03 Due date: 18 Aug 2022 at 23:59	Approx. 12-16 bars
Outcomes assessed:
Assignment	Chapter 30 Analysis Assignment Written assignment	5%	Week 04 Due date: 25 Aug 2022 at 23:59	Approx. 16-20 bars
Outcomes assessed:
Assignment	Haydn Minuet Assignment Written assignment	5%	Week 05 Due date: 01 Sep 2022 at 23:59	Approx. 8-12 bars
Outcomes assessed:
Assignment	Chapter 32 Assignment Written assignment	5%	Week 06 Due date: 08 Sep 2022 at 23:59	Approx. 16-20 bars
Outcomes assessed:
Assignment	Schubert Analysis Assignment Written assignment	10%	Week 08 Due date: 22 Sep 2022 at 23:59	Approx. 50 bars
Outcomes assessed:
Assignment	Chapter 37 Assignment Written assignment	5%	Week 09 Due date: 06 Oct 2022 at 23:59	Approx. 16-20 bars
Outcomes assessed:
Assignment	Chapter 39 Assignment Written assignment	5%	Week 11 Due date: 20 Oct 2022 at 23:59	Approx. 16-20 bars
Outcomes assessed:
Assignment	Chapter 40 Assignment Written assignment	5%	Week 12 Due date: 27 Oct 2022 at 23:59	Approx. 16-20 bars
Outcomes assessed:
= Type D final exam ?

Assessment summary

Full details of assessments can be found on Canvas.

Assessment criteria

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

Appropriate use of the harmonic and analytical vocabulary introduced in current and previous topics;
Technically correct notation, chord construction, chord function and voice leading;
Awareness of aesthetic principles as discussed in the unit;
Identification and imaginative use of less common or more advanced techniques presented in the topic.

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
Week 01	Mixture Chords	Lecture and tutorial (2 hr)
Week 02	Augmented Sixth Chords	Lecture and tutorial (2 hr)
Week 03	Augmented Sixth Chords continued	Lecture and tutorial (2 hr)
Week 04	Chromatic Techniques in Classical Sonata Movements	Lecture and tutorial (2 hr)
Week 05	Embellishing Chromatic Chords	Lecture and tutorial (2 hr)
Week 06	Lieder by Schubert	Lecture and tutorial (2 hr)
Week 07	Schubert Sonata Movements	Lecture and tutorial (2 hr)
Week 08	Chromatic Sequences	Lecture and tutorial (2 hr)
Week 09	Chromatic Voice Leading Techniques	Lecture and tutorial (2 hr)
Week 11	Modulation to Foreign Keys	Lecture and tutorial (2 hr)
Week 12	Chromaticism in larger contexts	Lecture and tutorial (2 hr)
Week 13	Revision	Lecture and tutorial (2 hr)

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.

Required readings

All readings for this unit can be accessed through the Library Reading List, available on Canvas.

Robert Gauldin, Workbook for Harmonic Practice in Tonal Music, 2nd edition (New York: Norton, 2004);
Robert Gauldin, Harmonic Practice in Tonal Music, 2nd edition (New York: Norton, 2004) is recommended for further reference.

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. Compose music which includes both small- and larger-scale chromatic vocabulary and techniques
LO2. Identify and explain the use of this vocabulary by analysing examples from the relevant repertoire

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

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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