MIS41270 Data Management and Mining

Academic Year 2019/2020

The module provides an introduction to Data Mining and Management in the context of business organisations.

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Curricular information is subject to change

Learning Outcomes:

On completion of the module students should be able to:
● Outline the Data Mining process
● Compare and Contrast the different data mining activities
● Understand the strengths and weaknesses of data mining as part of a decision support environment
● Apply data mining algorithms

Student Effort Type Hours
Lectures

36

Specified Learning Activities

48

Autonomous Student Learning

100

Total

184

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.  
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Assignment Varies over the Trimester n/a Graded No

40

Assignment: Individual assignment Coursework (End of Trimester) n/a Graded No

60


Carry forward of passed components
Yes
 
Resit In Terminal Exam
Summer Yes - 2 Hour
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Ms Aoife D'Arcy Lecturer / Co-Lecturer
Professor Javier Faulin Subject Extern Examiner
Spring
     
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 33 Mon 14:00 - 17:20

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