Overview:
- Credits:
- 10.0
- Level:
- 2
- Semester:
- Autumn
- 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.
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Group/class feedback, post-assessment
General feedback is provided to students on all their submitted assessment components.
Name | Role |
---|---|
Dr Christina Burke | Tutor |
Mr Neil Caraher | Tutor |
Assoc Professor Paula Carroll | Tutor |
Wincey Cheung | Tutor |
Ms Michele Connolly Doran | Tutor |
Mrs Edna Eugenia Da Silva | Tutor |
Patrick Ng | Tutor |
Michael Wong | Tutor |
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