Outline

Overview

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)	Final exam Open book online exam through the Canvas exam site.	30%	Formal exam period	2 hours
Outcomes assessed:
Participation	Participation Participation and completion of tutorial practices	10%	Multiple weeks	N/A
Outcomes assessed:
Online task	Class activities Completion of in-class activities	20%	Multiple weeks	N/A
Outcomes assessed:
Small test	Knowledge test Open-book online test through Canvas	15%	Week 07	N/A
Outcomes assessed:
Assignment	Group Assignment Group project	20%	Week 10	N/A
Outcomes assessed:
Presentation	Group Presentation Group project presentation during tutorial	5%	Week 11	N/A
Outcomes assessed:
= hurdle task ? = group assignment ? = 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.

Learning support

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	Course introduction and systems thinking	Lecture (2 hr)
Week 02	Information systems for competitive advantage	Lecture and tutorial (3 hr)
Week 03	Ethics, privacy, and trust in the digital information age	Lecture and tutorial (3 hr)
Week 04	E-commerce	Lecture and tutorial (3 hr)
Week 05	M-commerce	Lecture and tutorial (3 hr)
Week 06	Business intelligence	Lecture and tutorial (3 hr)
Week 07	Knowledge test	Lecture and tutorial (3 hr)
Week 08	Social computing	Lecture and tutorial (3 hr)
Week 09	Information security	Lecture and tutorial (3 hr)
Week 10	Information systems within the organisation	Lecture and tutorial (3 hr)
Week 11	Supply chain management and customer relationship management	Lecture and tutorial (3 hr)
Week 12	Information systems development and acquisition	Lecture and tutorial (3 hr)
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

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.

Outcomes
Graduate qualities

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
Learning outcomes

Responding to student feedback

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

ISYS2160: Information Systems in the Internet Age

Semester 2, 2022 [Normal day] - Remote

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links