Modules

Core Module Information
Module title: Data Analytics
SCQF level: 09:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: SET09120
Module leader: Taoxin Peng
School School of Computing, Engineering and the Built Environment
Subject area group: Computer Science
Prerequisites

Module Code SET07106, SET08120
Module Title Mathematics for Software Engineering, Database Systems
Examples of Equivalent Learning A mathematics course covering algebra and statistics
A database systems course covering relational modelling
Description of module content:

Data Preparation – Data collection, feature generation and data selection.
Data Pre-processing – data quality, data cleaning, data integration
Data Analysis – techniques of analysing data, such as correlation, regression, forecasting, classification, clustering, including a variety of machine learning methods that are widely used in data mining
Post processing – data visualisation, interpretation, evaluation
Tools used in this module include Weka, OpenRefine, or R.
Learning Outcomes for module:

Upon completion of this module you will be able to
LO1: Understand the concepts and process of data analysis
LO2: Understand and critically evaluate modelling methods/techniques in Data Analysis
LO3: Apply data processing techniques to process and prepare data for analysing
LO4: Apply data analysis algorithms to datasets to conduct data analysis
LO5: Critically interpret and evaluate results generated by analysis techniques
Full Details of Teaching and Assessment
2023/4, Trimester 1, FACE-TO-FACE, Edinburgh Napier University
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: FACE-TO-FACE
Location of delivery: MERCHISTON
Partner: Edinburgh Napier University
Member of staff responsible for delivering module: Taoxin Peng
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 24
Face To Face Tutorial 6
Face To Face Practical classes and workshops 18
Independent Learning Guided independent study 152
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Practical Skills Assessment 30 1, 2, 3 7 HOURS= 20.00, WORDS= 000.00
Practical Skills Assessment 70 1, 2, 3, 4, 5 HOURS= 40.00, WORDS= 000.00
Component 1 subtotal: 100
Component 2 subtotal: 0
Module subtotal: 100

Indicative References and Reading List - URL:
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