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Unit outline_

ISYS2110: Analysis and Design of Web Info Systems

Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney

This course discusses the processes, methods, techniques and tools that organisations use to determine how they should conduct their business, with a particular focus on how web-based technologies can most effectively contribute to the way business is organized. The course covers a systematic methodology for analysing a business problem or opportunity, determining what role, if any, web-based technologies can play in addressing the business need, articulating business requirements for the technology solution, specifying alternative approaches to acquiring the technology capabilities needed to address the business requirements, and specifying the requirements for the information systems solution in particular, in-house development, development from third-party providers, or purchased commercial-off-the-shelf (COTS) packages.

Unit details and rules

Academic unit Computer Science
Credit points 6
Prerequisites
? 
INFO1113 OR INFO1103 OR INFO1105 OR INFO1905
Corequisites
? 
None
Prohibitions
? 
INFO2110
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Rabiul Hasan, rabiul.hasan@sydney.edu.au
Type Description Weight Due Length
Skills-based evaluation Online Quiz 1
Canvas-based online quiz
5% Week 06 n/a
Outcomes assessed: LO1 LO7 LO6 LO5 LO4 LO3 LO2
Skills-based evaluation Online Quiz 2
Canvas-based online quiz
5% Week 09 n/a
Outcomes assessed: LO1 LO7 LO6 LO5 LO4 LO3 LO2
Assignment group assignment Group Assignment
30% Week 11 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Final exam hurdle task Final exam (Canvas-based online submission)
Take home open-book exam
60% Week 14 (STUVAC) 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
hurdle task = hurdle task ?
group assignment = group assignment ?

Assessment summary

Quiz 1: System Requirements

Quiz 2: System Modelling using UML notations

Group Assignment: Elicit and document system requirements; assemble descriptions of the system using appropriate notations; design a simple prototype using prototyping tools; deliver/explain these in the oral presentation. 

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 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:

Late assignment submissions immediately attract a 5% per day penalty (or part thereof). Submissions with more than 10 days late will receive a mark of 0.

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 Introduction to systems analysis and design Lecture and tutorial (4 hr)  
Week 02 Investigating system requirements Lecture and tutorial (4 hr)  
Week 03 Managing systems projects Lecture and tutorial (4 hr)  
Week 04 Requirements modelling Lecture and tutorial (4 hr)  
Week 05 Data and process modelling Lecture and tutorial (4 hr)  
Week 06 Object modelling Lecture and tutorial (4 hr)  
Week 08 User interface design Lecture and tutorial (4 hr)  
Week 09 Data design Lecture and tutorial (4 hr)  
Week 10 System architecture design Lecture and tutorial (4 hr)  
Week 11 Systems implementation Lecture and tutorial (4 hr)  
Week 12 Documentation and systems support Lecture and tutorial (4 hr)  
Week 13 Course review Lecture and tutorial (4 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.

Required readings

TEXTBOOK(S)
Scott Tilley & Harry J. Rosenblatt, Systems Analysis and Design 11th Ed, Cengage Learning US.


RECOMMENDED REFERENCES
Dennis, A., Wixom, B.H., and Tegarden, D., System Analysis & Design (5th Ed). John Wiley & Sons, 2015.


Satzinger, Jackson & Burd, Systems Analysis and Design in a Changing World (7th Ed), Cengage Learning US.

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 clear well-constructed technical documents and diagrams and deliver an oral presentation
  • LO2. Describe the issues of risk, and methods of dealing with them, including cost-benefit analyses, project planning and management, and be able to work with project planning documents including Gantt charts and detailed work breakdown structures
  • LO3. Discuss the stages in the process of developing an information system, and the relationship to the organisational context (especially the role of systems analysts interacting with other stakeholders), and explain the way the process uses documents such as requirements descriptions and analysis models.
  • LO4. Develop understanding of tasks involved in identifying alternative system solutions and assessing their feasibility.
  • LO5. Identify requirements based on a substantial realistic context, e.g. through joint requirements planning, carrying out or watching interviews, questionnaires, and be able to work with requirements documents, to identify aspects of requirements including functional, performance and usability conditions.
  • LO6. Demonstrate experience of data modelling based on a substantial realistic context and develop awareness of the tasks involved when working with conceptual data model documents, along with the ability to create, interpret and evaluate UML class structure diagrams.
  • LO7. Demonstrate experience of process modelling based on a substantial realistic context and develop awareness of the tasks involved when working with process model documents, along with the ability to create, interpret and evaluate UML message sequence diagrams and activity diagrams

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.

No changes have been made since this unit was last offered except the distribution of the assessments.

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.