Dr Richard S Wilson FHEA, MBCS
Senior Lecturer
Summary
Richard Wilson is the course leader for the MSc in Big Data Analytics within the College of Business, Technology and Engineering, department of computing, and the Maths department at Ï㽶ÊÓƵ. He teaches on both undergraduate and postgraduate modules and is an advanced user of the SAS® software suite, which he uses for both teaching and research. His main teaching focuses on SAS Programming, Data Warehousing and Data Mining, Data Integration and Applied Business Intelligence.
About
After achieving a distinction in his Master's degree in Business Intelligence, Dr Wilson started his professional career as researcher, in the Operations Ï㽶ÊÓƵ department at Warwick Business School. He then went on to work as a Business Analyst in the NHS where he was quickly promoted to Senior Information Analyst. Dr Wilson gradually progressed into research using SAS software, as part of a multimillion pound EU funded research project and for his own PhD research. He is now MSc Course Leader in Big Data Analytics at Ï㽶ÊÓƵ. His main teaching focuses on SAS Programming, Data Warehousing and Data Mining, Data Integration and Applied Business Intelligence. He has also written a number of papers on the use of Data Mining and is actively engaged in research in this field. Business Intelligence Data Warehousing Data Mining Higher Education NHS.
Business Intelligence
Data Warehousing
Data Mining
Higher Education
NHS
Teaching
School of Computing and Digital Technologies
College of Business, Technology and Engineering
Subject:
- Digital Analytics and Technologies
Courses:
- MSc Big Data Analytics
- BSc Business and Digital Technology
- BSc IT with Business Studies
Modules:
- Applied Business Intelligence
- Advanced Data Management
- Project Advanced Data Management
- Data Analytics Tools and Techniques
Publications
Journal articles
Yates, S., Akhgar, B., Bates, C., Jopek, L., & Wilson, R. (2011). . International Journal of Knowledge and Web Intelligence, 2 (2/3), 202-218.
Conference papers
Wilson, R.S.I., Ginige, A., Goonetillake, J.S., & Indika, W.A. (2019). User Needs-driven Enrichment of Ontology. Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City, 581-586.
Wilson, R., & Burley, K. (2012). . Fifth Annual Conference of the Higher Education Institutional Ï㽶ÊÓƵ Nework for the United Kindom and Ireland.
Wilson, R., Jopek, L., & Bates, C. (2010). . In IARIA, Lisbon, Portugual, 10 November 2010. IARIA
Jopek, L., Wilson, R., & Bates, C. (2010). . In IARIA, Lisbon, Portugual, 10 November 2010 (pp. 29-33). IARIA
Yates, S., Jopek, L., Mitchell, S., & Wilson, R. (2009). . In IADIS (International Association for Development of the Information Society) International Conference in Applied Computing 2009, Rome, Italy, 19 November 2009 - 21 November 2009.
Yates, S., Jopek, L., Mitchell, S., Wilson, R., Calderelli, L., & Fortune, D. (2008). . In Conference.
Book chapters
Yates, S.J., Bates, C., Akhgar, B., Jopek, L., Wilson, R., Mitchell, S.J., & Killick, S. (2011). The Odyssey Project – Understanding and Implementing User Needs in the Context of Ballistic Crime Data Exchange. In Advanced Information and Knowledge Processing. (pp. 11-34). Springer London:
Mcseveny, K., & Waddington, D. (2011). . In Akhgar, B., & Yates, S. (Eds.) Intelligence management : knowledge driven frameworks for combating terrorism and organized crime. (pp. 199-212). Springer: