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Unit outline_

COMP3888: Computer Science Project

Semester 2, 2020 [Normal day] - Camperdown/Darlington, Sydney

This unit will provide students an opportunity to apply the knowledge and practise the skills acquired in the prerequisite and qualifying units, in the context of designing and building a substantial software development system in diverse application domains including life sciences. Working in groups for an external client combined with academic supervision, students will need to carry out the full range of activities including requirements capture, analysis and design, coding, testing and documentation. Students will use the XP methodology and make use of professional tools for the management of their project.

Unit details and rules

Academic unit Computer Science
Credit points 6
Prerequisites
? 
(COMP2123 OR COMP2823) AND COMP2017 AND (COMP2022 OR COMP2922)
Corequisites
? 
None
Prohibitions
? 
INFO3600 OR COMP3600 OR COMP3615 OR COMP3988
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Basem Suleiman, basem.suleiman@sydney.edu.au
Type Description Weight Due Length
Presentation group assignment First project demo and presentation
Presentation & demo of first set of requirements.
5% Week 06 in-tutorial
Outcomes assessed: LO2 LO4 LO5 LO6
Assignment group assignment First project report (group)
First project report (group)
5% Week 06 multiple weeks
Outcomes assessed: LO1 LO6 LO5 LO4 LO3
Assignment hurdle task First project report (individual)
First project report (individual)
5% Week 06 multiple weeks
Outcomes assessed: LO1 LO3 LO4 LO5 LO6
Presentation group assignment First client deployment
deploy & demo first product at client site.
5% Week 07 week 7
Outcomes assessed: LO1 LO2 LO3 LO5 LO6 LO7
Presentation group assignment Final product delivery to client
Complete product delivery & demo at the client site.
10% Week 12 week 12
Outcomes assessed: LO1 LO2 LO3 LO4 LO6 LO7
Presentation group assignment Final project demo and presentation
Presentation & demo of the final product.
10% Week 12 in-tutorial
Outcomes assessed: LO2 LO3 LO4 LO6 LO7
Assignment group assignment Final project report (group)
Final project report (group)
35% Week 12 multiple weeks
Outcomes assessed: LO1 LO3 LO4 LO6 LO7
Assignment hurdle task Final project report (individual)
Final project report (individual)
25% Week 12 multiple weeks
Outcomes assessed: LO1 LO3 LO4 LO7
hurdle task = hurdle task ?
group assignment = group assignment ?

Assessment summary

  • First project demo and presentation: Present the work done to understand the client`s requirements and complete the first set of requirements; this should be a major release, with some working and useful outcomes for the client, and some parts presented in proposed form, such as storyboards. All team members must be present.
  • First project report (group): Reports the work done to understand the client`s requirements and complete the first set of requirements. It should also report on the group work and processes followed, systems, and software tools used, and client interaction. It is largely a draft for the final report.
  • First project report (individual): Similar to the first project report, but focuses on the individual contributions to the work completed in the project by this stage. All students will be required to give some feedback about the other team members of their group, in order to validate the individual reports. Individual advice will be given on performance and areas of improvement. This stage should also identify individuals at risk.
  • First client deployment: First set of test and implemented requirements must be deployed at client site. Students need to demonstrate that that the group has had a professional approach to the project deployment, and worked to ensure that the client will be satisfied. The client will be consulted to ratify the deployment.
  • Final delivery to client: Final product and relevant documentation delivered to the client. This includes all the sources, necessary technical documentation, and any product or documentation that the client required at the start of the project. Students need to demonstrate that the group has taken a professional approach to the product delivery, and worked to ensure that the client will be satisfied with the final product. The client will be consulted to ratify the final product delivery.
  • Final project demo and presentation: Commemorative group demo and presentation of the final product as delivered to the client. This must provide a convincing demonstration that the group has performed a substantial work that meets client needs, and had a professional approach to achieve that. Groups need to demonstrate the use and application of their discipline knowledge to meet client`s needs. All team members must be present.
  • Final project report (group): This report discusses important aspects including technical details of the final delivered product, how it meets client`s needs, the approach followed to interact with the client, the group`s discipline, knowledge, and skills used to tackle problems, the quality of the processes followed, and the effectiveness of group management processes.
  • Final project report (individual): Report on the individual contributions throughout the project in terms of the demonstrable amount and quality. Again, validation from other team members will be sought through team member`s feedback.

***In order to pass this unit, you must obtain at least 50% on indivudal assessment, and at least 50% overall!

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.

***In order to pass this unit, you must obtain at least 50% on indivudal assessment, and at least 50% overall!

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:

In accordance with university polcies

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.

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.

WK Topic Learning activity Learning outcomes
Week -01 Unit overview, team formation, presentation/proposals of projects offered, collection of teams preferences; Presentation (4 hr)  
Week 02 1. Tutor meet all managers & tutor meets each group; 2. Group work and big 5 theory for efficient team work; 3. Group contract, XP, group management tools & first meeting with client Project (2 hr)  
Week 03 1. XP and test-first; 2. set of requirements (user stories) defined, XP roles, demo of group's online progress; 3. Tutor meet all managers & tutor meets each group. 4. progress with new/existing requirements (user stories) implementation. Project (2 hr)  
Week 04 1. Workload management and awareness of teamwork; 2. Working towards first demo and report; 3. Tutor meet all managers & tutor meets each group 4. prototype implementation Project (2 hr)  
Week 05 First presentation & demo in-tutorial by all groups, preparation for first client deployment & demos. Project (2 hr)  
Week 06 1. Feedback whole class on demos, share exemplars; 2. first client demo. preparation 3. implementation of other requirements 4.Tutor meet all managers & tutor meets each group Project (2 hr)  
Week 07 1. progress with requirements (user stories); implements & test requirements 2. Tutor meet all managers & tutor meets each group to discuss feedback on first reports 3. first client deployment & demo (client site) Project (2 hr)  
Week 08 1. Code refactoring, finalise acceptance tests; 2. implementation of requirements (user stories) 3. Tutor meet all managers & tutor meets each group to discuss development progress & first client deployment Project (2 hr)  
Week 09 1. code refactoring and progress with requirements (user stories) 2. implementation & testing of requirements (user stories) 3.Tutor meet all managers & tutor meets each group to discuss development progress and client interactions Project (2 hr)  
Week 10 1. code refactoring and progress with requirements (user stories); implementation & testing of requirements (user stories) 2.Tutor meet all managers & tutor meets each group to discuss development progress 3. preparation for final client deployment Project (2 hr)  
Week 11 1. code refactoring and progress with requirements (user stories); implementation & testing of requirements (user stories) 2.Tutor meet all managers & tutor meets each group to discuss development progress 3. plan for final product delivery & demo. Project (2 hr)  
Week 12 1. Final project presentation & demo (in-tutorial) 2. Final product delivery & demo at client site. Concluding remarks and feedback Project (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 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

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. Produce written report of student’s work, in style that conforms to their discipline and is appropriate for clients to check.
  • LO2. give an oral presentation of your work and its rationale to your discipline
  • LO3. work in a small group of students, to deliver substantial results for clients
  • LO4. Follow a systematic process of work, with appropriate mechanisms for dealing with risks, such as unforeseen factors and delays
  • LO5. Use previously unfamiliar tools and to integrate with previously unfamiliar software/systems, learning their use from examples and documentation.
  • LO6. Work with clients to discover their needs, and demonstrate that the delivered results meet those needs
  • LO7. apply discipline and expertise in computer science to solve problems, and meet the needs of clients.

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 section outlines changes made to this unit following staff and student reviews.

Improved assessment to capture individual contributions and discipline knowledge and skills.

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.