Computing in Kent

New and exciting MSc course is launched by the Computing section of Canterbury Christ Church University, part of the School of Engineering, Design and Technology in Data Intelligence. Aims to help address the employment skills gaps in this area. Course Details:  https://www.canterbury.ac.uk/study-here/courses/data-intelligence    The target is to bring people from non-computing and computing backgrounds into Data Science and including applied Artificial Intelligence techniques to analyse data, but building on the students' previous experience and knowledge. Entry is to be a digital and numerically literate graduate with a degree (2:2 or higher) in: STEM degree subjects or near STEM subjects (examples of near STEM subjects include: Economics, Informatics, Accountancy) Non-STEM degree subjects: if your degree is not related to STEM, you will also need an A level in maths. "The course has been co-designed with  IT professionals in Data, Business, Business Intelligent An...

  Turner, S. J. (2018) Games in teaching programming: HE perspective. Invited Presentation presented to: Gaming in Education, Milton Keynes, 28 June 2018.   Hill, G., Turner, S. J. and Childs, K. (2017) The answers not on the screen. Paper presented to: 13th China Europe Symposium on Software Engineering Education (CEISEE), Athens, Greece, 24-25 May 2017.   Turner, S. J. (2017) Experience of using spreadsheets as a bridge in the understanding of AI techniques. Paper presented to: 13th China Europe Symposium on Software Engineering Education (CEISEE), Athens, Greece, 24-25 May 2017.   Hill, G. (2016) Review of a problems-first approach to first year undergraduate programming. In: Wu, B. and Kassel, S. (eds.) Software Engineering Education Going Agile: 11th China-Europe International Symposium on Software Engineering Education (CEISEE 2015).Switzerland: Springer International Publishing. 9783319291659. pp. 73-80. https://doi.org/10.1007/978-3-319-29166-6_11   Turn...

  A study of user experiences and network analysis on anonymity and traceability of bitcoin transactions  M A Hannan Bin Azhar and Robert Vause Whitehead  School of Engineering, Technology and Design, Canterbury Christ Church University, UK This paper investigates the anonymity of bitcoin transactions and the significance of awareness of the technology by bitcoin users, alongside their experiences in tracing transactions. Bitcoin enables users to carry out transactions anonymously with the virtual currency they possess without unveiling where the real-world source of the income has come from. These transactions may occur without revealing the location or any personal identifiable information of the person who is sending or receiving bitcoin. While there are existing surveys which test bitcoin user’s awareness of the technology, they do not focus on bitcoin user’s own experience using the technology in terms of tracing transactions and use of anti-forensic tools to increas...