ZANA C1201 - Introduction to Data Analytics

Module Title:Introduction to Data Analytics
Language of Instruction:English
Credits: 5
NFQ Level:6
Module Delivered In 3 programme(s)
Teaching & Learning Strategies: A mixture of traditional lectures, problem solving tutorials and laboratory work
Module Aim: 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 should be able to:
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.
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.

No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
No requirements listed
 

Module Content & Assessment

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.
Assessment Breakdown%
Continuous Assessment20.00%
Practical30.00%
End of Module Formal Examination50.00%
Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Examination 30 minute multiple choice class test 1 10.00 Week 6
Examination 30 minute multiple choice class test 2,3 10.00 Week 12
No Project
Practical
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation students given tasks which involve implementing in computer code the concepts and skills encountered 1,2,3,4 30.00 Every Week
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam Closed book examination based on all learning outcomes 1,2,3 50.00 End-of-Semester

SETU Carlow Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Lecture 12 Weeks per Stage 2.00
Practicals 12 Weeks per Stage 2.00
Independent Learning Time 12 Weeks per Stage 5.42
Tutorial 12 Weeks per Stage 1.00
Total Hours 125.00
 

Module Delivered In

Programme Code Programme Semester Delivery
CW_KCCGD_B Bachelor of Science (Honours) in Computer Games Development 2 Mandatory
CW_KCIAD_B Bachelor of Science (Honours) in Computing in Interactive Digital Art and Design 2 Mandatory
CW_KCIAD_D Bachelor of Science in Computing in Interactive Digital Art and Design 2 Mandatory
Discussion Note: TEST