Modules

Core Module Information
Module title: Data Analytics
SCQF level: 09:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: SET09420
Module leader: Shufan Yang
School School of Computing, Engineering and the Built Environment
Subject area group: Computer Science
Prerequisites

N/A
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.
This module will teach a mixture of state of the art scripting, visualisation, data mining and cleaning tools, such as R or Python, OpenRefine and Weka.
Learning Outcomes for module:

LO1: Critically reflect on the concepts and process of data analysis
LO2: Critically evaluate modelling methods/techniques in data analytics
LO3: Apply data analysis algorithms to datasets to conduct data analysis and visualisation
LO4: 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: Shufan Yang
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 35 1, 3,4 7 HOURS= 20.00, WORDS= 000.00
Practical Skills Assessment 65 1, 2, 3, 4 13 HOURS= 40.00, WORDS= 000.00
Component 1 subtotal: 35
Component 2 subtotal: 65
Module subtotal: 100

Indicative References and Reading List - URL:
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