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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

INFO4994: Advanced Topics in Computer Science

This unit will cover recent topics of active and cutting-edge research within Computer Science and its related areas. The content of this unit may vary depending on the academic staff member's research expertise and/or opportunities such as a distinguished researcher visiting the University.

Details

Academic unit Computer Science
Unit code INFO4994
Unit name Advanced Topics in Computer Science
Session, year
? 
Semester 1, 2021
Attendance mode Supervision
Location Remote
Credit points 6

Enrolment rules

Prohibitions
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None
Prerequisites
? 
None
Corequisites
? 
None
Available to study abroad and exchange students

No

Teaching staff and contact details

Coordinator David Brian Lowe, david.lowe@sydney.edu.au
Lecturer(s) David Brian Lowe , david.lowe@sydney.edu.au
Type Description Weight Due Length
Assignment Paper presentations
2 x Presentation of a research paper to the reading group
40% Multiple weeks 2 reports + presentations
Outcomes assessed: LO1 LO2 LO6
Assignment Peer Feedback
Feedback on other students' presentations (written)
10% Multiple weeks 12 weeks x 100-200 words
Outcomes assessed: LO2 LO3 LO6
Participation Engagement
Assessment of engagement in the reading group
10% Progressive During class
Outcomes assessed: LO3 LO6
Assignment Literature Survey
Literature survey
40% Week 12 5-20 pages
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
  • Literature Survey – 40% - marked by the honours supervisor. This is a survey on a given topic, chosen together with the supervisor. Students choose a topic relevant to their research while avoiding overlap with the literature review for INFO5993 Research Methods.
  • Paper presentation – 40% (2 x 20%) – marked by the reading group coordinator. Presentation of a research paper to the reading group; 2 presentations during the semester
  • Feedback – 10% - marked by the reading group coordinator. This covers feedback on other students’ presentations (written)
  • Engagement - 10% - marked by the reading group coordinator. This involves evaluation by the reading group coordinator of your active involvement in the online class sessions

Detailed information for each assessment can be found on Canvas. Note that in order to pass the unit you must recieve a minimum mark of 40% in both the literature survey and the paper presentations, irrespective of your overall total mark.

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

It is a policy of the School of Computer Science that in order to pass any unit, a student must achieve at least 40% in the written examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average.

For more information see sydney.edu.au/students/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.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, 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 dishonesty or plagiarism seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

WK Topic Learning activity Learning outcomes
Week 01 Unit introduction and admin. (2 hr) LO1 LO5
Week 02 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 03 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 04 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 05 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 06 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 07 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 08 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 09 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 10 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 11 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 12 Reading group (2 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 13 Wrap-up, admin, review (2 hr) LO1 LO2 LO3 LO4 LO5 LO6

Attendance and class requirements

Attendance at all reading group sessions is mandatory. Missing more than 2 sessions without approval may be a valud basis for failing in the unit.

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

Each individual reading group may have specific readings that are required.

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.

At the completion of this unit, you should be able to:

  • LO1. Utilise existing research databases to select research publications that are relevant to a selected research domain
  • LO2. Critique existing literature to identify the key contributions being made to the field
  • LO3. Coherently debate the merits and gaps within existing publications, providing clear evidence for the positions being taken
  • LO4. Compile views of multiple papers into a coherent survey that captures the relationships between multiple papers and potential gaps in the field
  • LO5. Apply existing tools to the management of a collection of related research publications
  • LO6. Present succinct summaries of research papers in written and oral form that capture the key elements of the papers

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
This is the first time the unit has been offered.

IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.

In assessing a piece of submitted work, the School of Computer Science may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.

All written assignments submitted in this unit of study will be submitted to the similarity detecting software program known as Turnitin. Turnitin searches for matches between text in your written assessment task and text sourced from the Internet, published works and assignments that have previously been submitted to Turnitin for analysis.

There will always be some degree of text-matching when using Turnitin. Text-matching may occur in use of direct quotations, technical terms and phrases, or the listing of bibliographic material. This does not mean you will automatically be accused of academic dishonesty or plagiarism, although Turnitin reports may be used as evidence in academic dishonesty and plagiarism decision-making processes.

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.