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Unit outline_

ELEC5619: Object Oriented Application Frameworks

Semester 2, 2024 [Normal day] - Camperdown/Darlington, Sydney

This unit aims to introduce students to the main issues involved in producing large Internet systems by using and building application frameworks. Frameworks allow great reuse so developers do not have to design and implement applications from scratch, as students have done in ELEC3610 The unit lays down the basic concepts and hands on experience on the design and development of enterprise systems, emphasizing the development of systems using design patterns and application frameworks. A project-based approach will introduce the problems often found when building such systems, and will require students to take control of their learning. A project-based approach will introduce the problems often found when building such systems, and will require students to take control of their learning. Several development Java frameworks will be used, including Spring, Hibernate, and others. Principles of design patterns will also be studied.

Unit details and rules

Academic unit School of Electrical and Computer Engineering
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

Java programming, and some web development experience are essential. Databases strongly recommended

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Huaming Chen, huaming.chen@sydney.edu.au
Lecturer(s) Nan Yang, n.yang@sydney.edu.au
Tutor(s) Yuning Zhang, yuning.zhang1@sydney.edu.au
Zihao Yao, zihao.yao@sydney.edu.au
Yongkun Deng, yongkun.deng@sydney.edu.au
The census date for this unit availability is 2 September 2024
Type Description Weight Due Length
Supervised exam
? 
Final Exam
See Canvas for more details.
40% Formal exam period 2 hours
Outcomes assessed: LO3 LO4 LO5 LO6 LO8 LO9 LO10
Assignment Proposal
See Canvas for more details.
10% Week 05
Due date: 01 Sep 2024 at 23:59
2000 words
Outcomes assessed: LO1
Assignment Project
See Canvas for more details.
50% Week 12
Due date: 27 Oct 2024 at 23:59
n/a
Outcomes assessed: LO1 LO7 LO6 LO5 LO4 LO3 LO2

Assessment summary

  • Project: Prototype, final application, presentation, learning journal.
  • Mid-sem exam: Concepts and programming languages used in the project.
  • Proposal – draft: 1,500 words describing project.
  • Proposal – final: 2,000 word document describing the project, including technical solution and addressing feedback.
  • Presentation: Produce short group video describing project outcomes.

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 sydney.edu.au/students/guide-to-grades.

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:

Generally 20% penalty marks per day. Special cases will be considered.

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.

Support for students

The Support for Students Policy 2023 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 2023. 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

WK Topic Learning activity Learning outcomes
Week 01 Introduction / Overview of the course objectives and structure Lecture (1 hr) LO1
Week 02 Software Requirement Analysis and Feasibility Analysis Lecture (1 hr) LO3
Project Selection and Group Formation Computer laboratory (3 hr) LO2 LO3
Week 03 Object-Oriented Analysis (UML) Lecture (1 hr) LO1 LO2 LO3 LO4
Prepare Draft Project Proposal; Setup Spring Computer laboratory (3 hr) LO1 LO2 LO3 LO4
Week 04 Object-Oriented Design-1 / Exploring the principles of object-oriented design Lecture (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Finalise Project Proposal; Continue Spring Setup; Utilise Collaboration tools Computer laboratory (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 05 Object-Oriented Design-2 / Designing complex software systems using object-oriented design techniques Lecture (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Finalise Spring Setup; Present System Architecture Computer laboratory (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 06 Object-Oriented Framework - Spring Boot 1 / Introduction to the Spring Boot framework Lecture (1 hr) LO5 LO6 LO7 LO8 LO9
Provide and Consume APIs; Install additional tools such as presentation layer tools; Finetune System Architecture Computer laboratory (3 hr) LO5 LO6 LO7 LO8 LO9
Week 07 Object-Oriented Framework - Spring Boot 2 / Developing scalable and robust web applications using Spring Boot Lecture (1 hr) LO5 LO6 LO8 LO9 LO10
Design and Implementation of System Architecture; Install additional tools (optional); Develop Web Interface and Implement Database Persistence Computer laboratory (3 hr) LO5 LO6 LO7 LO8 LO9
Week 08 Object-Oriented Programming-1 / Understanding the fundamentals of object-oriented programming Lecture (1 hr) LO5 LO6 LO7 LO8 LO9
Finalise Implementation of System Architecture; Finetune Web Interface and Database; Install additional tools (optional); Computer laboratory (3 hr) LO5 LO6 LO7 LO8 LO9 LO10
Week 09 Object-Oriented Programming-2 / Exploring design patterns and best practices in OOP Lecture (1 hr) LO5 LO6 LO7 LO8 LO9 LO10
Project Implementation; Implementation of Quality Practices; Finetune Web Interface and Database; Install additional tools (optional) Computer laboratory (3 hr) LO5 LO6 LO7 LO8 LO9 LO10
Week 10 Project Testing / Introduction to software testing techniques and methodologies Lecture (1 hr) LO5 LO6 LO7 LO8 LO9 LO10
Finalise Project Implementation; Finetune Web Interface and Database; Install additional tools (optional) Computer laboratory (3 hr) LO5 LO6 LO8 LO9 LO10
Week 11 Software Engineering Project Management / Overview of software project management principles and practices Lecture (1 hr) LO8 LO9 LO10
Project Presentation Computer laboratory (3 hr) LO2
Week 12 Software Project Deployment and Maintenance / Deploying software projects and strategies for maintaining and updating software systems Lecture (1 hr) LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Project Demonstration and Reporting Computer laboratory (3 hr) LO1 LO2 LO9
Week 13 Course Review / Reviewing key concepts and topics covered throughout the course Lecture (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
YouTube Video Presentation on Project Computer laboratory (3 hr) LO1 LO2

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. write reports and make presentations to communicate technical and often complex material in clear and concise terms for a specific target audience
  • LO2. work in a group effectively and efficiently by assuming clearly defined roles and responsibilities and then interacting in a constructive manner with the group by both contributing and evaluating others' viewpoints in order to reach a multilateral agreement on and execution of the solution
  • LO3. deploy a large site using a particular application framework to the extent of the material presented
  • LO4. undertake conception and design by investigating, researching and systematically compiling the various information resources available, in order to deliver an e-business project
  • LO5. evaluate the advantages and disadvantages of using domain specific frameworks with a particular focus on web applications
  • LO6. customize a Content Management System (CMS) to particular user requirements using tools, principles and techniques developed throughout the course
  • LO7. write and modify Java code using Spring and Hibernate in a web application
  • LO8. compare and contrast different Web Application Frameworks available in the market using the principles and techniques developed in the course
  • LO9. assess the differences between using application frameworks for software development and other methods with less reusability.
  • LO10. understuand security issues in object oriented application frameworks.

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.

The course content has been updated according to student feedback.

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.