LAWS6251: Intensive October - November, 2020

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Units LAWS6251 Intensive October - November 2020 [Block mode]

Unit outline_

LAWS6251: Legal Issues in Digital Trade

Intensive October - November, 2020 [Block mode] - Camperdown/Darlington, Sydney

Overview

This unit analyses domestic laws in major jurisdictions and international laws to regulate digital trade. Digital Trade is broadly defined to cover traditional e-commerce where tangible products are sold via Internet but delivered offline; more importantly, it also includes modern intangible digital products sold and transmitted electronically online. This unit first surveys relevant statutes and cases in Australia, the US, the EU, and China. Then, it discusses digital trade regulations embodied by major free trade agreements and judicial assistance treaties, or adopted by international organizations such as WTO, APEC, and UN. It covers the following areas: classification of digital products and their treatment, online consumer and privacy protection, law for online platforms/interactive computer service, principles on access to and use of the Internet for digital trade, law to regulate cross-border flow of data, (de)localization of computing facilities, law for blockchain and smart contract, law for digital currency, and dispute resolution (jurisdiction, choice of law and judgment recognition and enforcement). This unit provides an opportunity for graduates to appreciate and assess the legal challenges brought by digital trade and embark on comparing and criticizing diversified solutions adopted by different jurisdictions and international organizations.

Unit details and rules

Academic unit	Law
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Jeanne Huang, jeanne.huang@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Problem solving question Problem solving question	30%	- Due date: 26 Oct 2020 at 12:00 Closing date: 29 Oct 2020	1500 words
Outcomes assessed:
Assignment	Essay Essay	70%	- Due date: 20 Nov 2020 at 12:00 Closing date: 27 Nov 2020	6000wd
Outcomes assessed:
= hurdle task ?

Assessment summary

Problem Solving Question (30%) - word limit 1500 words. TO be released at 12 noon on 19 October on Canvas.

Essay (70%) - word limit 6000 words. Topics will be released on Canvas on 9 October 2020. (This should be a well-researched essay. Footnotes should be at least 1,000 words)

Further details will be available on Canvas.

Assessment criteria

Take-home exam (30%) and 6000wd essay (70%)

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.

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:

Please refer to Canvas for the assessment due date. The late submission of a piece of assessment, which has not been granted an extension, will attract a penalty of 10% of the total marks available for the piece of assessment per calendar day or part thereof.

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
Ongoing	Classification of digital products and their treatment	Block teaching (2 hr)
	Online consumer and privacy protection	Block teaching (4 hr)
	Law for online platforms/interactive computer service	Block teaching (2 hr)
	Law to regulate cross-border flow of data	Block teaching (2 hr)
	Dispute resolution (jurisdiction, choice of law and judgment recognition and enforcement)	Block teaching (4 hr)
	Principles on access to and use of the Internet for digital trade	Block teaching (2 hr)
	(de)localization of computing facilities	Block teaching (2 hr)
	Law for blockchain and smart contract	Block teaching (2 hr)
	Law for digital currency	Block teaching (2 hr)
	Law for AI	Block teaching (2 hr)
	Others (new topics will be added regularly)	Block teaching (4 hr)

Attendance and class requirements

Attendance: Please see Canvas for details.

Word count penalty: A piece of assessment which exceeds the prescribed word limit will attract a penalty of 10% of the total marks available for the piece of assessment for every 100 words, or part thereof. The total word count for essay and other written assessments will exclude bibliography; footnote numbers; footnote citation; cover page and include body text; headings and sub-headings; quotations; anything other than numbers and citations in footnotes.

Referencing: The Sydney Law School expects you to use the Australian Guide to Legal Citation (4th edition, 2018) for your footnoting style, although you should confirm this with your lecturer, and a link to the library website where this is set out comprehensively is available at https://libguides.library.usyd.edu.au/c.php?g=508212&p=3476376

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

Reading materials will be uploaded 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 acquisition of knowledge of international and domestic law regulating digital trade
LO2. develop professional skill in the analysis and interpretation of primary materials (decided cases and statutes)
LO3. appraise hypothetical questions involving digital trade and apply relevant legal principles in answering those questions
LO4. express, in clear and concise language, well-structured and logical arguments with particular reference to national and international law regulating digital trade

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.

This is the first time this unit has been 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

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

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