IFQ521 Foundations of Decision Science
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | IFQ521 |
|---|---|
| Equivalent(s): | IFN521 |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $1,118 |
| Domestic tuition unit fee | $3,528 |
Unit Outline: Session 2 2024, QUT Online, Online
| Unit code: | IFQ521 |
|---|---|
| Credit points: | 12 |
| Equivalent: | IFN521 |
Overview
Human beings engage in information environments of ever increasing complexity both within organizations and socially. In these environments, human beings interact with information in various ways. This unit introduces principles of cognitive science relevant to understanding how human beings process information and make decisions. In addition, the unit presents relevant frameworks to understand what information really is. Understanding both of these aspects is necessary for modern organizations to be able to exploit their data for effective decision making.
Learning Outcomes
On successful completion of this unit you will be able to:
- Synthesise knowledge of human cognition and theories of information to understand human decision making in context. (CLO1, CLO3, CLO5)
- Analyse and report on research ethically using a range of methodologies and statistical techniques (CLO2, CLO3, CLO6)
- Critically assess how Decision Science theories apply to contemporary IT contexts (CLO1, CLO3)
- Employ teamwork skills and processes to participate collaboratively, and demonstrate an understanding of decision making within the context of groups (CLO4)
- Reflect on your individual learning journey to develop an understanding of your learning in the context of future IT applications and career aspirations. (CLO6)
Content
Unit content will be focused on developing your understanding around two themes: how humans process information and what information really is.
The human information processing theme will introduce you to important topics like: How people make judgements about information and what consequences that has for interacting with information systems, models of human cognition and how that influences how humans process information, particularly in regard to decision making.
The “what is information” theme will introduce you to topics such as: why an understanding of information is important, different theories and perspectives on information, and how these theories can be ethically applied to understand and advance the informational aspects of real world scenarios.
Learning Approaches
This unit takes a contextualised practice approach to Decision Science and why it is important. Practical activities address these concepts within a socio-technical context.
Teaching will be delivered by a team with transdisciplinary expertise that covers the cognitive, informational and technological dimensions.
Conceptual material on what constitutes Decision Science is related to why it is important, and developed as a foundation for following units.
The unit will be delivered in a modular style with a focus on collaborative approaches to learning, and a mixture of online and face to face activities.
Assessment is considered to be an integral part of the learning in the unit and provides opportunity for formative feedback.
Feedback on Learning and Assessment
Studio workshops, tutorials and drop-in sessions will include opportunities for discussion and receiving immediate feedback on ideas related to the conceptual content.
Practical opportunities will be provided for the teaching team to view your work and provide direct feedback on it. You will be encouraged to use this feedback to enhance your opportunity for success in graded assessment tasks.
The teaching team will monitor the cohort as a whole and provide ongoing feedback throughout the semester on general progress of the cohort, or addressing specific issues that arise during the unit Individual feedback will be provided between assessment tasks to allow improvement over the course of the semester.
Detailed criteria sheets with any relevant comments will be provided for all assessment.
Opportunities will be provided on key tasks to receive preliminary criteria-based feedback without impact to your final grade.
Opportunities will be provided for peer feedback to enhance the authenticity of assessment tasks, and encourage engagement with significant themes.
Opportunities will be provided for self-reflection to integrate learning, feedback and self assessment.
Assessment
Overview
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Synthesis and Application Task
Critique selected Information theories and their relationship to human information behaviour in a contemporary technology context.
Assessment: Research Report
Development, analysis and testing of a theory related to cognitive information processes with regards to decisions about information.
Assessment: Reflective Practice Journal
The reflective journal will document challenges encountered during the unit, how practice was or should have been changed to overcome them, and strategies for future learning and development.
Academic Integrity
Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.
Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.
Resources
Web based crowdsourcing resources.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.IQ14 Graduate Certificate in Business Analysis
- Demonstrate advanced Business Analysis discipline knowledge
Relates to: Synthesis and Application Task - Investigate, appraise, and apply Business Analysis methods and approaches to address complex industry & organisational requirements
Relates to: Research Report - Work effectively in both self-directed and collaborative contexts
Relates to: Synthesis and Application Task, Research Report, Reflective Practice Journal - Demonstrate professional and ethical aptitude, values and judgement when employing Business Analysis skills
Relates to: Reflective Practice Journal
Unit Outline: Session 4 2024, QUT Online, Online
| Unit code: | IFQ521 |
|---|---|
| Credit points: | 12 |
| Equivalent: | IFN521 |
Overview
Human beings engage in information environments of ever increasing complexity both within organizations and socially. In these environments, human beings interact with information in various ways. This unit introduces principles of cognitive science relevant to understanding how human beings process information and make decisions. In addition, the unit presents relevant frameworks to understand what information really is. Understanding both of these aspects is necessary for modern organizations to be able to exploit their data for effective decision making.
Learning Outcomes
On successful completion of this unit you will be able to:
- Synthesise knowledge of human cognition and theories of information to understand human decision making in context. (CLO1, CLO3, CLO5)
- Analyse and report on research ethically using a range of methodologies and statistical techniques (CLO2, CLO3, CLO6)
- Critically assess how Decision Science theories apply to contemporary IT contexts (CLO1, CLO3)
- Employ teamwork skills and processes to participate collaboratively, and demonstrate an understanding of decision making within the context of groups (CLO4)
- Reflect on your individual learning journey to develop an understanding of your learning in the context of future IT applications and career aspirations. (CLO6)
Content
Unit content will be focused on developing your understanding around two themes: how humans process information and what information really is.
The human information processing theme will introduce you to important topics like: How people make judgements about information and what consequences that has for interacting with information systems, models of human cognition and how that influences how humans process information, particularly in regard to decision making.
The “what is information” theme will introduce you to topics such as: why an understanding of information is important, different theories and perspectives on information, and how these theories can be ethically applied to understand and advance the informational aspects of real world scenarios.
Learning Approaches
This unit takes a contextualised practice approach to Decision Science and why it is important. Practical activities address these concepts within a socio-technical context.
Teaching will be delivered by a team with transdisciplinary expertise that covers the cognitive, informational and technological dimensions.
Conceptual material on what constitutes Decision Science is related to why it is important, and developed as a foundation for following units.
The unit will be delivered in a modular style with a focus on collaborative approaches to learning, and a mixture of online and face to face activities.
Assessment is considered to be an integral part of the learning in the unit and provides opportunity for formative feedback.
Feedback on Learning and Assessment
Studio workshops, tutorials and drop-in sessions will include opportunities for discussion and receiving immediate feedback on ideas related to the conceptual content.
Practical opportunities will be provided for the teaching team to view your work and provide direct feedback on it. You will be encouraged to use this feedback to enhance your opportunity for success in graded assessment tasks.
The teaching team will monitor the cohort as a whole and provide ongoing feedback throughout the semester on general progress of the cohort, or addressing specific issues that arise during the unit Individual feedback will be provided between assessment tasks to allow improvement over the course of the semester.
Detailed criteria sheets with any relevant comments will be provided for all assessment.
Opportunities will be provided on key tasks to receive preliminary criteria-based feedback without impact to your final grade.
Opportunities will be provided for peer feedback to enhance the authenticity of assessment tasks, and encourage engagement with significant themes.
Opportunities will be provided for self-reflection to integrate learning, feedback and self assessment.
Assessment
Overview
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Synthesis and Application Task
Critique selected Information theories and their relationship to human information behaviour in a contemporary technology context.
Assessment: Research Report
Development, analysis and testing of a theory related to cognitive information processes with regards to decisions about information.
Assessment: Reflective Practice Journal
The reflective journal will document challenges encountered during the unit, how practice was or should have been changed to overcome them, and strategies for future learning and development.
Academic Integrity
Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.
Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.
Resources
Web based crowdsourcing resources.
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.IQ14 Graduate Certificate in Business Analysis
- Demonstrate advanced Business Analysis discipline knowledge
Relates to: Synthesis and Application Task - Investigate, appraise, and apply Business Analysis methods and approaches to address complex industry & organisational requirements
Relates to: Research Report - Work effectively in both self-directed and collaborative contexts
Relates to: Synthesis and Application Task, Research Report, Reflective Practice Journal - Demonstrate professional and ethical aptitude, values and judgement when employing Business Analysis skills
Relates to: Reflective Practice Journal