INFO5990: Semester 1, 2020

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Units INFO5990 Semester 1 2020 [Normal evening]

Unit outline_

INFO5990: Professional Practice in IT

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

Overview

This Unit of Study introduces the students to some of the concepts, standards and techniques associated with the current professional practice in information technology in the business environment. Students will encounter a range of concepts, techniques and professional issues including interpersonal and organisational communication, human resources and conflict resolution, globalisation, professional ethics, social impacts of IT, data security, data quality assurance, system audit, investigative research and project management practice. Practical and real world case studies will be used as part of the learning to enhance the in-class teachings to the needs of industry.

Unit details and rules

Academic unit	Computer Science
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	Students enrolled in INFO5990 are assumed to have previously completed a Bachelor's degree in some area of IT, or have completed a Graduate Diploma in some area of IT, or have many years experience as a practising IT professional.
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Masahiro Takatsuka, masa.takatsuka@sydney.edu.au

Type	Description	Weight	Due	Length

Assessment summary

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.

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	1. Course Objectives; 2. Managing team work: the challenge of leadership	Lecture and tutorial (3 hr)
Week 02	1. Managing Human Resources in IT; 2. Change Management	Lecture and tutorial (3 hr)
Week 03	IT systems audit	Lecture and tutorial (3 hr)
Week 04	Written and oral communications in IT	Lecture and tutorial (3 hr)
Week 05	Research Methods	Lecture and tutorial (3 hr)
Week 06	Professional practice in project management	Lecture and tutorial (3 hr)
Week 07	Managing complex IT projects	Lecture and tutorial (3 hr)
Week 08	Managing software testing	Lecture and tutorial (3 hr)
Week 09	Managing, protecting and systems integration	Lecture and tutorial (3 hr)
Week 10	Ethics, ethical behaviour and professional responsibility	Lecture and tutorial (3 hr)
Week 11	Ethics and the IT profession	Lecture and tutorial (3 hr)
Week 12	Tools and techniques for decision making	Lecture and tutorial (3 hr)
Week 13	Course review	Lecture and tutorial (3 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.

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 developed awareness and skills relating to written and oral communication vital for professional IT practitioners
LO2. demonstrate awareness of wider issues and problems concerning professional practice in IT
LO3. demonstrate awareness of the impact of information technology in our globalised world
LO4. demonstrate awareness of and have gained skills in aspects of professional practice including conflict resolution, contract negotiation, team formation, leadership and team dynamics
LO5. appreciate issues relating to ethics and professional responsibility in the IT profession and be able to resolve hypothetical ethical dilemmas
LO6. understand aspects of intellectual property and its protection
LO7. discuss current trends in human resource management in the IT industry
LO8. appreciate issues concerning software testing, data security, data quality, quality assurance, system audit and the value of information for decision support systems
LO9. gain an understanding of the use of IT in different industries
LO10. develop an understanding and skills relating to professional practice in IT project management
LO11. select and apply investigative research methods, models and tools to IT professional practice and develop an informed opinion on the area of analysis, and demonstrate the ability to identify and monitor changing information on the area of interest and seek expertise as required, and recognise the limitations potentially affecting the potential accuracy of the results

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 changes have been made since this unit was last offered

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

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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