Overview:
- Credits:
- 7.5
- Level:
- 4
- Semester:
- Spring
- Subject:
- Management Information Systems
- School:
- Business
- Coordinator:
- Assoc Professor Peter Keenan
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Curricular information is subject to change
On completion of the module students should be able to:
● Describe and distinguish between data-driven documents, dashboards, decision support and business intelligence systems, with examples of each
● Assess the importance of the current developments to decision making systems
● Understand the role of metrics and KPIs
● Appreciate the role of human factors in business intelligence and visualisation, including the typical ways in which visualisations can inform or mislead.
● Employ computer software to produce high-quality data visualisations
Organisational decision making, functions, and levels
Information visualisation
Decision support systems
Geographic Information Systems
Effective business visualisation
Dashboards and Business intelligence Metrics, KPIs
Human factors
Student Effort Type | Hours |
---|---|
Specified Learning Activities | 50 |
Autonomous Student Learning | 100 |
Lectures | 30 |
Total | 180 |
Not applicable to this module.
Resit In | Terminal Exam |
---|---|
Autumn | Yes - 2 Hour |
• Group/class feedback, post-assessment
• Online automated feedback
Not yet recorded.
Name | Role |
---|---|
Ms Annmarie Connolly | Tutor |
Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Thurs 09:30 - 10:20 |
Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Thurs 11:00 - 12:30 |
Lecture | Offering 2 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Thurs 14:00 - 14:50 |
Lecture | Offering 2 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Thurs 15:30 - 17:00 |