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Dr Edgar Whitley NAB 3.32

This course is available on the CEMS Exchange, MBA Exchange, MSc in Management (1 Year Programme), MSc in Management of Information Systems and Digital Innovation and MSc in Media and Communications (Data and Society). This course is available with permission as an outside option to students on other programmes where regulations permit.

This course has a strong management focus and assumes a general knowledge of information systems and their management equivalent to MG472 Global Strategy, Management and Information Systems.

This course introduces students to two Contemporary Topics in Advanced Technology Management.  It uses academic perspectives on the topics to provide a detailed contextualisation of technology’s historical and intellectual development and combines this with practitioner perspectives to highlight the management challenges associated with these technological developments.

The topics are expected to be Artificial intelligence and Machine learning and Financial Technologies including Open Banking, Distributed Ledgers and Blockchains.

20 hours of lectures and 9 hours of seminars in the LT.

Lecture durations vary by week and a detailed schedule is available on Moodle.

A reading week will take place during Week 6. There will be no teaching during this week.

Students will be present two draft presentations and evolving essay plans in the LT.

The reading list will be technology specific, and determined by the guest academics.  As such, they are likely to vary from year to year.  Detailed readings will be made available on Moodle.

Artificial intelligence and Machine learning

• Fogel, M. (2016). The 10 Best AI, Data Science and Machine Learning Podcasts, Medium (available at https://medium.com/startup-grind/the-10-best-ai-data-science-and-machine-learning-podcasts-d7495cfb127c#.v7943hwof).

• Brynjolfsson, E., and McAfee, A. (2017). The Bu