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Unit of study_

ELEC9609: Internet Software Platforms

This unit of study will focus on the design, the architecture and the development of web applications using technologies currently popular in the marketplace including Java and . NET environments. There are three key themes examined in the unit: Presentation layer, Persistence layer, and Interoperability. The unit will examine practical technologies such as JSP and Servlets, the model-view-controller (MVC) architecture, database programming with ADO. NET and JDBC, advanced persistence using ORM, XML for interoperability, and XML-based SOAP services and Ajax, in support of the theoretical themes identified. On completion the students should be able to: Compare Java/J2EE web application development with Microsoft . NET web application development; Exposure to relevant developer tools (e. g. Eclipse and VS. NET); Be able to develop a real application on one of those environments; Use XML to implement simple web services and AJAX applications.

Details

Academic unit Electrical and Information Engineering
Unit code ELEC9609
Unit name Internet Software Platforms
Session, year
? 
Semester 2, 2022
Attendance mode Normal day
Location Remote
Credit points 6

Enrolment rules

Prohibitions
? 
ELEC5742
Prerequisites
? 
None
Corequisites
? 
None
Available to study abroad and exchange students

No

Teaching staff and contact details

Coordinator Huaming Chen, huaming.chen@sydney.edu.au
Lecturer(s) Huaming Chen , huaming.chen@sydney.edu.au
Type Description Weight Due Length
Final exam (Take-home short release) Type D final exam Final exam
Final exam
30% Formal exam period 3 hours
Outcomes assessed: LO5 LO8 LO7 LO6
Assignment group assignment System requirements analysis
n/a
12% Week 05
Due date: 04 Sep 2022
n/a
Outcomes assessed: LO1 LO2 LO3
Assignment group assignment System design specification
n/a
8% Week 07 n/a
Outcomes assessed: LO1 LO2 LO3 LO5
Assignment group assignment System implementation
n/a
35% Week 11 n/a
Outcomes assessed: LO1 LO3 LO4 LO5 LO7 LO8
Assignment group assignment System deployment and testing
n/a
15% Week 12 n/a
Outcomes assessed: LO1 LO4 LO6 LO9
group assignment = group assignment ?
Type D final exam = Type D final exam ?
  • Project: This project will involve 4 deliverables: Deliverable 1 (due week 5) covers response to request for proposal with requirements analysis, and specification to web services, deliverable 2 (due week 7) covers design specifications of web services, deliverable 3 (due week 12) covers implementation of web applications, and deliverble 4 (due week 13) covers test results and user documentation.

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.

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 1. Introduction; 2. Course mechanics; 3. Web fundamentals Online class (4 hr)  
Week 02 1. Web fundamentals (continued); 2. Use case modelling; 3. Wireframing; 4. Requirements analysis and requirements specification for web applications Online class (4 hr)  
Week 03 Web servers and application architecture Online class (4 hr)  
Week 04 Front-end web technologies and development environments Online class (4 hr)  
Week 05 1. Deliverable: 5 minute pitches and requirements document; 2. Back-end web technologies, methods, and security Online class (4 hr)  
Week 06 Deploying, configuring, and securing pre-packaged software Online class (4 hr)  
Week 07 1. Deliverable: System design specification; 2. Cloud services and deployment Online class (4 hr)  
Week 08 Web security introduction/overview and policies Online class (4 hr)  
Week 09 Quality, Testing and Validation Online class (4 hr)  
Week 10 Continuous integration and testing Online class (4 hr)  
Week 11 Data-driven web services for decision making Online class (4 hr)  
Week 12 Machine learning based systems: fundamentals, tools and practice Online class (4 hr)  
Week 13 1. Deliverable: Working system demos; 2. Exam review Online class (4 hr)  

Attendance and class requirements

  • Project work - own time: The project requires students to design and develop web services. It involves group meetings, discussions and development sessions.

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

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

  • Anders Moller and Michael Schwartzbach, An Introduction to XML and Web Technologies. Addison-Wesley, 2006. 0321269667.
  • Dean Leffingwell and Don Widrig, Managing Software Requirements: A Use Case Approach. Addison Wesley, 2003. 032112247X.
  • Geoff Hulten, Building intelligent systems: a guide to machine learning engineering. Apress, 2018. 2018934680.
  • Chip Huyen, Designing machine learning systems: an iterative process for production-ready applications. O’Reilly, 2022. 1098107969.

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. Work in a team and assuming different roles (stakeholders), while remaining receptive to other inputs and opinions, so as to deliver real-world web applications on time, and within scope
  • LO2. Instigate inquiry and knowledge development into the issues associated with designing and building a web based service, and synthesise the information to draw meaningful and useful conclusions in the context of the subject at hand
  • LO3. Proficiently write reports that convey complex and technical concepts, experiments, and present outcomes on web services projects in a clear and concise form
  • LO4. Develop web based services from inception to design through to implementation, testing, and maintenance by using principles, techniques, and methodologies presented
  • LO5. Develop real world web applications using web-based environments and the principles and techniques presented in the course
  • LO6. Use tools and methods employed in web service design, implementation, and testing to the extent of the material and projects presented.
  • LO7. Use Python and Django framework as the baseline programming tools.
  • LO8. Deploy applications by using basic cloud services and DevOps practices with baseline security measures.
  • LO9. Demonstrate an understanding of current trends of web based services and applications using machine learning and artificial intelligence.

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
Changed the assessment for COVID-19 requirement. Modified learning outcomes a bit.

Disclaimer

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