Outline

Overview

Indonesian 3A is designed to extend students' knowledge and understanding of Indonesian language and culture. It combines intensive Indonesian language instruction with a series of Indonesian-language lectures that extends students' knowledge of Indonesian culture and society on a variety of contemporary topics.

Unit details and rules

Academic unit	Indonesian Studies
Credit points	6
Prerequisites ?	INMS2102 or INMS2602 or HSC Indonesian Continuers or HSC Indonesian Extension with a mark of 80% or above
Corequisites ?	None
Prohibitions ?	INMS3101 or INMS3102 or INMS3301 or INMS3302 or INMS3902
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Dwi Noverini Djenar, novi.djenar@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2026

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
In-class quiz	Small Tests Small written test	20%	Multiple weeks	1000 words equivalent	AI allowed
Outcomes assessed:
In-person practical, skills, or performance task or test	Oral Test 1 Live oral test - secured	15%	Week 07	750 words equivalent	AI prohibited
Outcomes assessed:
In-person written or creative task	Written Test 1 Live Written Test - secured	15%	Week 07	500 words equivalent	AI prohibited
Outcomes assessed:
Case studies	Research Assignment Assignment with submission consisting of oral and written work	20%	Week 11 Due date: 17 May 2026 at 23:59 Closing date: 17 May 2026	1000 words in Indonesian equivalent	AI allowed
Outcomes assessed:
In-person practical, skills, or performance task or test	Oral Test 2 Live oral test - secured	15%	Week 13	750 words equivalent	AI prohibited
Outcomes assessed:
In-person written or creative task	Written Test 2 Live written test - secured	15%	Week 13	500 words equivalent	AI prohibited
Outcomes assessed:

Assessment summary

Please refer to Canvas for details.

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	Submission meets exceptional academic standards as defined by learning outcomes for this unit.
Distinction	75 - 84	Submission meets very high academic standards as defined by learning outcomes for this unit.
Credit	65 - 74	Submission meets good academic standards as defined by learning outcomes for this unit.
Pass	50 - 64	Submission meets satisfactory academic standards as defined by learning outcomes for this unit.
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

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:

It is expected that, unless an application for a simple extension or special consideration has been approved, students will submit all assessment for a unit of study on the due date specified. If assessment is completed or submitted within a period of extension, no academic penalty will be applied to that piece of assessment. If an extension is either not sought, not granted or is granted but work is submitted after the extended due date, the late submission of assessment will result in an academic penalty as outlined in section 7A of the Assessment Procedures 2011.

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	See Canvas for detail	Lecture (2 hr)
Week 01	See Canvas for detail	Tutorial (2 hr)
Week 02	See Canvas for detail	Lecture (2 hr)
Week 02	See Canvas for detail	Tutorial (2 hr)
Week 03	See Canvas for detail	Lecture (2 hr)
Week 03	See Canvas for detail	Tutorial (2 hr)
Week 04	See Canvas for detail	Lecture (2 hr)
Week 04	See Canvas for detail	Tutorial (2 hr)
Week 05	See Canvas for detail	Lecture (2 hr)
Week 05	See Canvas for detail	Tutorial (2 hr)
Week 06	See Canvas for detail	Lecture (2 hr)
Week 06	See Canvas for detail	Tutorial (2 hr)
Week 08	See Canvas for detail	Lecture (2 hr)
Week 08	See Canvas for detail	Tutorial (2 hr)
Week 09	See Canvas for detail	Lecture (2 hr)
Week 09	See Canvas for detail	Tutorial (2 hr)
Week 10	See Canvas for detail	Lecture (2 hr)
Week 10	See Canvas for detail	Tutorial (2 hr)
Week 11	See Canvas for detail	Lecture (2 hr)
Week 11	See Canvas for detail	Tutorial (2 hr)
Week 12	See Canvas for detail	Lecture (2 hr)
Week 12	See Canvas for detail	Tutorial (2 hr)

Attendance and class requirements

Attendance: Please refer to the Faculty rules for attendance.
Lecture recording: Most lectures will be recorded and made available to students for online review. However, you should not rely on lecture recording to substitute your classroom learning experience.
Preparation: Students should commit to spend approximately three hours’ preparation time (reading, studying, homework, essays, etc.) for every hour of scheduled instruction.

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

Required readings are available on Canvas

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 an advanced standard of competence in Indonesian using written and oral modes
LO2. identify and critically evaluate a range of textual and audiovisual material in Indonesian related to the modules studied.
LO3. display in-depth knowledge of Indonesian contemporary society with reference to the themes studied
LO4. locate and evaluate primary and secondary sources to conduct research on contemporary Indonesian society.

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.

Several revisions have been made to this course since its previous offering: - Materials have been updated to improve clarity, accessibility and appropriateness - Online lectures incorporate additional opportunity for interactive discussion

Disclaimer

Important: the University of Sydney regularly reviews units of study and reserves the right to change the units of study available annually. To stay up to date on available study options, including unit of study details and availability, refer to the relevant handbook.

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

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

Disclaimer

On this page

Useful links

INMS3601: Indonesian 3A

Semester 1, 2026 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

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

Disclaimer

On this page

Useful links