1) UNDERSTAND, DISCUSS AND BE ABLE TO CRITICALLY EVALUATE THE ISSUES INVOLVED IN SOURCING, PREPARING AND MAKING AVAILABLE DATA FOR ANALYSIS (DATA HARVESTING).
Knowledge and Understanding

2) SYSTEMATICALLY UNDERSTAND THE CONCEPTS THAT UNDERPIN DATA MINING AND BE ABLE TO APPLY RELEVANT TOOLS AND TECHNIQUES TO SOLVE COMPLEX PROBLEMS.
Knowledge and Understanding
Application

3) USE A VARIETY OF TECHNIQUES TO DESIGN AND DEVELOP APPS FOR MOBILE DEVICES THAT SHOWCASE MOBILE DEVICE CAPABILITIES
Knowledge and Understanding,
Problem solving

4) DESIGN A USER INTERFACE THAT CONFORMS TO SPECIFIC PLATFORM REQUIREMENTS, AND BE ABLE TO CONTRAST THE DIFFERENT APPROACHES TAKEN IN MODERN MOBILE APP DEVELOPMENT Application
Problem Solving

Practical element weighted at 50%: application of data mining tools and techniques in a data mining environment, using for example the Weka data mining tool or similar (Learning Outcomes 1 and 2) 20 minute demo

Practical element weighted at 50%: Student practical implementation that shows design and implementation of mobile apps using a variety of techniques (Learning Outcomes 3 and 4) 20 minute demo

Topics covered will include:
- Businesses and digital transformation
- Components of digital transformation
- The definition of data harvesting and its relevance in a Big Data context
- Data preparation in a Business Data context (gathering and validating data, and evaluating the quality of the data)
- Identifying analysis requirements in a Business context
- Concepts that underpin data mining
- Tools and techniques for data mining
- Evaluation of tools and techniques and suitability for use in specified contexts
- Introduction to Business Data Analytics
- Data Analytics Lifecycle
- Clustering
- Association Rules
- Regression
- Classification
- Time Series Analysis
- Text Analysis
- Data visualisation techniques
- Techniques to build apps across multiple mobile platforms
- Comparison of native and non-native implementations
- Mobile app development using native and non-native technologies
- Building UIs for mobile devices to reflect the "look and feel" of device platform
- Interacting with device APIs such as Image, Accelerometers, Location, Maps, and Multitasking
- Handling data, including data from external sources, such as RESTful web services, on various mobile devices
- Deploying applications to on-device marketplaces

The module uses 13 hours of formal lectures, and 26 hours of workshop based teaching which will include practical work, seminars and theoretical material. Extensive use is made of the VLE and of formative assessment.

The following is sourced from the University Library

Dean J., (2014), Big Data, Data Mining and Machine Learning, John Wiley & Sons , ISBN 9781118920395.
Ahlemeyer-Stubbe A. et al, (2014), A Practical Guide to Data Mining for Business and Industry, John Wiley & Sons, ISBN 1119977134.
Krishnan, K. (2013), Data Warehousing in the Age of Big Data, Morgan Kaufmann, ISBN 9780124059207.
Russell, M. A., (2013), Mining the Social Web Reilly, O’Reilly, ISBN 9781449368227.
Dietrich, D. et Al. , (2015), Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data, John Wiley & Sons, ISBN-13: 978-1118876138.
Holmes, D. E. (2017), Big Data: A Very Short Introduction (Very Short Introductions), OUP Oxford, ISBN-10: 0198779577.
Rogers, D (2016) The Digital Transformation Playbook: Rethink Your Business for the Digital Age (Columbia Business School Publishing), Columbia University Press, ISBN-10: 9780231175449
Sacolick, I (2017) Driving Digital: The Leader's Guide to Business Transformation Through Technology, AMACOM; Special ed. Edition, ISBN-10: 0814438601
Alan, D., (2017). Progressive Web Apps. Manning Publications. ISBN: 9781617294587
Nahavandipoor, V., (2017). iOS 11 Swift Programming Cookbook: Solutions and Examples for iOS Apps. O'Reilly Media. ISBN: 9781491992470
Jemerov, D., (2017). Kotlin in Action. Manning Publications. ISBN: 9781617293290

Open source data analytics tools such as
WEKA
Mobile development IDEs, e.g. Android Studio, XCode IDE
Mobile devices and emulators