Module Details

Module Code: ZANA C1201
Module Title: Introduction to Data Analytics
Title: Introduction to Data Analytics
Module Level:: 6
Credits:: 5
Module Coordinator: Nigel Whyte
Module Author:: Joseph Bennett
Domains:  
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.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# 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.
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Additional Requisite Information
No Co Requisites listed
 
Indicative Content
Functions and Graphs
Cartesian product of sets, relations, functions, graphs of common functions, transformations, composition and inverse of functions.
Data Presentation and Statistics
Frequency distributions, histograms, frequency curves, measures of central tendency and dispersion, normal distribution.
Numerical Techniques
Scattergraphs, root mean-square error, the normal equations, linear and non-linear fitting, forecasting.
Module Content & Assessment
Assessment Breakdown%
Continuous Assessment20.00%
Practical30.00%
End of Module Formal Examination50.00%

Assessments

Full Time

Continuous Assessment
Assessment Type Examination % of Total Mark 10
Timing Week 6 Learning Outcomes 1
Non-marked No
Assessment Description
30 minute multiple choice class test
Assessment Type Examination % of Total Mark 10
Timing Week 12 Learning Outcomes 2,3
Non-marked No
Assessment Description
30 minute multiple choice class test
No Project
Practical
Assessment Type Practical/Skills Evaluation % of Total Mark 30
Timing Every Week Learning Outcomes 1,2,3,4
Non-marked No
Assessment Description
students given tasks which involve implementing in computer code the concepts and skills encountered
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 50
Timing End-of-Semester Learning Outcomes 1,2,3
Non-marked No
Assessment Description
Closed book examination based on all learning outcomes
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.

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 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 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 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
Supplementary Book Resources
  • Rudolf Jakob Freund,William J. Wilson,Donna L. Mohr. (2010), Statistical Methods, 3rd Edition. Chapters 1 and 7, Academic Press, p.796, [ISBN: 9780123749703].
  • Andy Francis. (2004), Business Mathematics and Statistics, 6th Edition. Chapters 1,2 and 3, Cengage Learning EMEA, p.666, [ISBN: 9781844801282].
  • 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
This module does not have any other resources
Discussion Note: TEST