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Unit outline_

ISYS2160: Information Systems in the Internet Age

Semester 2, 2022 [Normal day] - Remote

This unit will provide a comprehensive conceptual and practical introduction to information systems (IS) in the Internet era. Key topics covered include: system thinking and system theory, basic concepts of information systems, internet and e-commerce, e-payment and m-commerce, online marketing and social media, information systems for competitive advantage, functional and enterprise systems, business intelligence, information systems development and acquisition, information security, ethics, and privacy

Unit details and rules

Academic unit Computer Science
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
ISYS2140
Assumed knowledge
? 

INFO1003 OR INFO1103 OR INFO1903 OR INFO1113

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Rabiul Hasan, rabiul.hasan@sydney.edu.au
Type Description Weight Due Length
Final exam (Open book) Type C final exam Final exam
Open book online exam through the Canvas exam site.
30% Formal exam period 2 hours
Outcomes assessed: LO3 LO5
Participation Participation
Participation and completion of tutorial practices
10% Multiple weeks N/A
Outcomes assessed: LO3 LO5 LO4
Online task Class activities
Completion of in-class activities
20% Multiple weeks N/A
Outcomes assessed: LO3 LO4 LO5
Small test Knowledge test
Open-book online test through Canvas
15% Week 07 N/A
Outcomes assessed: LO3 LO5
Assignment hurdle task group assignment Group Assignment
Group project
20% Week 10 N/A
Outcomes assessed: LO1 LO5 LO4 LO3
Presentation group assignment Group Presentation
Group project presentation during tutorial
5% Week 11 N/A
Outcomes assessed: LO2 LO3
hurdle task = hurdle task ?
group assignment = group assignment ?
Type C final exam = Type C final exam ?

Assessment summary

Knowledge Test

It is a Canvas-based online test. The details of the format and coverage will be provided in lectures.

Group Assignment
The group assignment will be completed by groups of approximately 4 students. The assignment will involve applying many concepts covered in lectures and will require extensive collaboration between group members. The assessment submission will be in the form of a detailed written report. Students can submit individual peer review forms when needed, which will be used to moderate marks within the group. Further details of the assignment will be available on Canvas.

 

Presentation
It is a group presentation based on the Group Project.

Participation

Individual participation and completion of tutorial practices

Online task / Class activities

Individual participation and completion of activities in classes

 

Final Exam

It is an open book online exam through Canvas exam site. All of the materials in the unit will be examinable. Further details of the format and expectations regarding the final examination will be provided in lectures.

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.

 

"It is a policy of the School of Computer Science that in order to pass this 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 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.

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 Course introduction and systems thinking Lecture (2 hr) LO4 LO5
Week 02 Information systems for competitive advantage Lecture and tutorial (3 hr) LO1 LO4 LO5
Week 03 Ethics, privacy, and trust in the digital information age Lecture and tutorial (3 hr) LO1 LO4 LO5
Week 04 E-commerce Lecture and tutorial (3 hr) LO1 LO4 LO5
Week 05 M-commerce Lecture and tutorial (3 hr) LO1 LO4 LO5
Week 06 Business intelligence Lecture and tutorial (3 hr) LO1 LO4 LO5
Week 07 Knowledge test Lecture and tutorial (3 hr) LO3 LO5
Week 08 Social computing Lecture and tutorial (3 hr) LO1 LO4 LO5
Week 09 Information security Lecture and tutorial (3 hr) LO1 LO4 LO5
Week 10 Information systems within the organisation Lecture and tutorial (3 hr) LO1 LO4 LO5
Week 11 Supply chain management and customer relationship management Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5
Week 12 Information systems development and acquisition Lecture and tutorial (3 hr) LO1 LO4 LO5
Week 13 Course review Lecture and tutorial (3 hr)  

Attendance and class requirements

Attendance in classes and tutorials is compulsory. Further details are provided on Canvas and will be discussed in the Week 1 lecture.

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

R. Kelly Rainer, Casey G. Cegielski, Introduction to Information Systems: Supporting and Transforming Business. 5th Edition.

 

 

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. Demonstrate the ability to build up teamwork skills and project management skills
  • LO2. Deliver presentations in a professional way
  • LO3. Communicate technical problems and solutions to non-technical audience
  • LO4. Find information with good sources for project and problem solving
  • LO5. Analyze real life problem with socio-technical thinking.

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 significant changes have been made since this unit was last offered except the type and 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.