Module Details
Module Code: |
ZANA C1201 |
Module Title:
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Introduction to Data Analytics
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Title:
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Introduction to Data Analytics
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Module Level:: |
6 |
Module Coordinator: |
Nigel Whyte
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Module Author:: |
Joseph Bennett
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Module Description: |
To provide the student with a competence and understanding of the fundamental mathematics required to function in the field of Interactive Digital Media Design.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
identify common functions from their graphs; |
LO2 |
organise, present and statistically analyse data; |
LO3 |
perform appropriate numerical techniques to model patterns identified in large data sets; |
LO4 |
write computer programmes to further explore the concepts of this syllabus. |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is recommended before enrolment in this module.
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No recommendations listed |
Co-requisite Modules
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No Co-requisite modules listed |
Additional Requisite Information
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No Co Requisites listed
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Indicative Content |
Functions and Graphs
Cartesian product of sets, relations, functions, graphs of common functions, transformations, composition and inverse of functions.
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Data Presentation and Statistics
Frequency distributions, histograms, frequency curves, measures of central tendency and dispersion, normal distribution.
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Numerical Techniques
Scattergraphs, root mean-square error, the normal equations, linear and non-linear fitting, forecasting.
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Module Content & Assessment
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Assessment Breakdown | % |
Continuous Assessment | 20.00% |
Practical | 30.00% |
End of Module Formal Examination | 50.00% |
AssessmentsFull Time
End of Module Formal Examination |
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Reassessment Requirement |
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
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SETU Carlow Campus reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time |
Workload Type |
Workload Category |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lecture |
|
Contact |
Active Participation in Lecture hall as new material is gradually exposed to the student |
12 Weeks per Stage |
2.00 |
24 |
Practicals |
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Contact |
A mixture of paper based and computer labs every week where the students can develop practical skills to implement the techniques and develop the concepts met in the lectures. |
12 Weeks per Stage |
2.00 |
24 |
Independent Learning Time |
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Non Contact |
Students will review lecture notes and tackle activiteis given to them in the lectures and tutorials. They will also work on their practical |
12 Weeks per Stage |
5.42 |
65 |
Tutorial |
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Contact |
Focus on using the theory and knowledge garnered from lectures to tackle and solve problems/ |
12 Weeks per Stage |
1.00 |
12 |
Total Weekly Contact Hours |
5.00 |
Module Resources
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Supplementary Book Resources |
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Rudolf Jakob Freund,William J. Wilson,Donna L. Mohr. (2010), Statistical Methods, 3rd Edition. Chapters 1 and 7, Academic Press, p.796, [ISBN: 9780123749703].
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Andy Francis. (2004), Business Mathematics and Statistics, 6th Edition. Chapters 1,2 and 3, Cengage Learning EMEA, p.666, [ISBN: 9781844801282].
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Ron Larson,Robert P. Hostetler,Bruce H. Edwards. (2007), Essential Calculus: Early Transcendental Functions, Chapter 1, Cengage Learning, p.1008, [ISBN: 9780618879182].
| This module does not have any article/paper resources |
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This module does not have any other resources |
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