Overview:
- Credits:
- 10.0
- Level:
- 2
- Semester:
- Autumn and Summer (separate)
- Subject:
- Management Information Systems
- School:
- Business
- Coordinator:
- Dr Orna O'Brien
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Curricular information is subject to change
On completion of this module, students should be able to:
Prepare spreadsheet models to store, manipulate and analyse quanitative data using common probability distributions and statistical functions.
Calculate, analyse and present useful statistical measurements from large-scale data sets.
Create and interpret inferential statistical statements about population parameters.
Interpret the results of data analyses with a view to informing decision making,
Create and interpret simple linear regression models.
Student Effort Type | Hours |
---|---|
Lectures | 20 |
Specified Learning Activities | 85 |
Autonomous Student Learning | 125 |
Total | 230 |
Not applicable to this module.
Remediation Type | Remediation Timing |
---|---|
Repeat | Within Two Trimesters |
• Group/class feedback, post-assessment
General feedback is provided to students on all their submitted assessment components.
Name | Role |
---|---|
Assoc Professor Paula Carroll | Lecturer / Co-Lecturer |
Dr Christina Burke | Tutor |
Mr Neil Caraher | Tutor |
Dr Millissa Cheung | Tutor |
Miss Clare Griffin | Tutor |
Ms Sarah Kelly | Tutor |
Jonas Lee | Tutor |
Dr Miguel Nicolau | Tutor |
Professor Michael O'Neill | Tutor |
Rachel Sim | Tutor |
Chee Shong Tan | Tutor |
Charlene Tan Puay Koon | Tutor |
Michael Wong | Tutor |
Siti Zarifah | Tutor |
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