JPNS3631: Semester 1, 2023

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Units JPNS3631 Semester 1 2023 [Normal day]

Unit outline_

JPNS3631: Japanese 9

Semester 1, 2023 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit aims at the further development of skills beyond the intermediate level of Japanese. The goals of the unit include the development of skills in language analysis; the understanding of unfamiliar texts of a non-specific nature; the ability to summarise, to evaluate texts critically and to appreciate authentic Japanese texts, including literary texts. At the conclusion of the unit, students will be able to write 800 kanji and recognise some 1600 kanji.

Unit details and rules

Academic unit	Japanese Studies
Credit points	6
Prerequisites ?	JPNS2302 or JPNS3622
Corequisites ?	None
Prohibitions ?	JPNS3301
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Masafumi Monden, masafumi.monden@sydney.edu.au

Type	Description	Weight	Due	Length
Supervised exam ?	Final exam n/a	30%	Formal exam period	2 hours
Outcomes assessed:
Presentation	Presentation n/a	20%	Multiple weeks	550 words
Outcomes assessed:
Tutorial quiz	Reading and grammar quiz n/a	10%	Week 05 Due date: 20 Mar 2023 at 13:00	450 words
Outcomes assessed:
Assignment	Research report n/a	20%	Week 08 Due date: 23 Apr 2023 at 23:00	800 words
Outcomes assessed:
Small test	JLPT-style and translation test n/a	20%	Week 13 Due date: 22 May 2023 at 12:00	900 words
Outcomes assessed:

Assessment summary

Detailed information for each assessment can be found on Canvas.

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
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
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.

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	Introduction : 日本に行く前に 1; Writing exercise/ class activities	Tutorial (3 hr)
Week 02	Module 1: 日本で暮らし始める 1; Writing exercise/ class activities	Tutorial (3 hr)
Week 03	Module 1: 日本で暮らし始める 2; Writing exercise/ class activities	Tutorial (3 hr)
Week 04	Module 2: 日本で暮らし始める 3; Writing exercise/ class activities	Tutorial (3 hr)
Week 05	Module 2: 日本の生活 1; Writing exercise/ class activities	Tutorial (3 hr)
Week 06	Module 2: 日本の生活 2; Writing exercise/ class activities	Tutorial (3 hr)
Week 07	Module 2: 日本の生活 3; Writing exercise/ class activities	Tutorial (3 hr)
Week 08	Module 3: 日本の社会 1; Writing exercises/ class activities	Tutorial (3 hr)
Week 09	Module 3: 日本の社会 2; Writing exercise/ class activities	Tutorial (3 hr)
Week 10	Module 4: 日本の文化 1; Writing exercise/ class activities	Tutorial (3 hr)
Week 11	Module 4: 日本の文化 2; Writing exercise/ class activities	Tutorial (3 hr)
Week 12	Module 4: 日本の文化 3; Writing exercise/ class activities	Tutorial (3 hr)
Week 13	まとめ & JLPT-style and translation tests	Tutorial (3 hr)

Attendance and class requirements

Lecture recording: Most lectures will be recorded and may be made available to students. 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

Essential readings for each week are available from the Modules section on the Canvas site. Some other, shorter pieces may be distributed in class as part of class activities.

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. critically engage with and understand authentic Japanese texts including print, online, and audio-visual media
LO2. explain and logically discuss ideas, opinions and research findings in spoken and written Japanese with a high level of competence
LO3. develop a greater understanding of current social and cultural issues in Japan
LO4. design and produce research by collecting and analysing material in both Japanese and English
LO5. develop insight into the concepts of translation and interpreting, and practical working approaches to translating general (non-technical) texts

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

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Site visit guidelines

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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

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Additional costs

Site visit guidelines

Work, health and safety

Disclaimer

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