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Unit of study_
ISYS3401: Information Technology Evaluation
2024 unit information
Information Systems (IS) professionals in today's organisations are required to play leadership roles in change and development. Your success in this field will be aided by your being able to carry out research-based investigations using suitable methods and mastery over data collection and analysis to assist in managing projects and in decision making. Practical research skills are some of the most important assets you will need in your career. This unit of study will cover important concepts and skills in practical research for solving and managing important problems. This will also provide you with the skills to undertake the capstone project in the IS project unit of study offered in Semester 2 or other projects. It will also provide hand-on experience of using Microsoft Excel and other tools to perform some of the quantitative analysis.
Unit details and rules
Managing faculty or University school:
Computer Science
| Code | ISYS3401 |
|---|---|
| Academic unit | Computer Science |
| Credit points | 6 |
|
Prerequisites:
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(INFO2110 OR ISYS2110) AND (INFO2120 OR ISYS2120) AND (ISYS2140 OR ISYS2160) |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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MATH1005 or MATH1905 or MATH1062 or DATA1001 or DATA1901 |
At the completion of this unit, you should be able to:
- LO1. understand user experience, usability and usefulness
- LO2. Understanding theories of Technology Acceptance, Adoption and task-technology fit
- LO3. Understand different approaches to evaluation
- LO4. Appreciate a variety of qualitative and quantitative methods for evaluation studies
- LO5. develop measure measurement models for evaluations
- LO6. understand experiment design and various ways of analyzing experiment data
- LO7. understand survey instrument design and various ways of analyzing and survey data
- LO8. carry out proper empirical tests with given experimental and survey data sets
- LO9. ability to report and interpret from qualitative and quantitative findings
Unit availability
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Modes of attendance (MoA)
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