Module Descriptors
MANAGING EMERGING TECHNOLOGIES
COIS71197
Key Facts
Digital, Technology, Innovation and Business
Level 7
15 credits
Contact
Leader: Elhadj Benkhelifa
Hours of Study
Scheduled Learning and Teaching Activities: 39
Independent Study Hours: 111
Total Learning Hours: 150
Pattern of Delivery
  • Occurrence A, Stoke Campus, PG Semester 1
Sites
  • Stoke Campus
Assessment
  • Coursework - Conference Paper (3000 words) weighted at 70%
  • Coursework - Academic Poster (1000 words) weighted at 30%
Module Details
TEXTS
note that all the text listed here are available through the university e-books service. It is not expected that students will buy these texts. The nature of the subject means that these texts will be constantly updated.)

Davis K., Patterson D. 2012 Ethics of Big Data O' ¿Reilly
Uhl A., Gollenia L.A. (eds) 2014 Digital Enterprise Transformation Gower (specified chapters only)

Payton T., Claypool T., Schmidt H. 2014 Privacy in the Age of Big Data Rowman & Littlefield
RESOURCES
MS Office
Internet
NoSQL Datastores (MongoDB, CouchDB)
Hadoop Framework
Module Learning Outcomes
1. Discuss and be able to critically evaluate the organisational issues involved in managing emerging technologies.
Knowledge and understanding
Enquiry
Reflection

2. Research, analyse and critically evaluate quality issues in emerging and leading-edge technologies. Enquiry
Analysis
Reflection

3. Systematically investigate the business and technical context of managing emerging technologies. Enquiry
Analysis
Application
Module Indicative Content
This module will examine the management issues presented by the emerging technologies which support complex systems. Topics considered will include:
What is meant by emerging technologies; how can these be defined and what are the characteristics of emerging technologies.

The module will also address:
The strategic role of Big Data / data analytics; the way in which Big Data can be exploited as part of an organisation.
Business Intelligence (BI) strategy for organisations.
Legal and ethical issues, with particular reference to privacy and data collection.
Quality issues for emerging technologies, covering issues such as data quality, testing, validation and value.
Emerging aspects of enterprise systems (ES/ERP).
The technical context of emerging technologies with reference to the Internet of Things (IoT) and cloud computing technologies.
The business context of emerging technologies, with reference to ROI, knowledge innovation and information security.
Digital transformation and digital productivity.
The international context of emerging technologies.
Module Additional Assessment Details
100% individual coursework which will include an IEEE formatted conference paper weighted at 70% and an academic poster weighted at 30%.
IEEE conference paper (3000 words): The paper should demonstrate the application of your research skills and understanding of managing an emerging technology. It should specifically evaluate an area in a chosen emerging technology and define research gaps and recommend the way forward to address one of more of these gaps (Learning Outcomes 1 to 3).
Academic poster (1000 words): the poster should effectively present the key contents of the paper (Learning Outcome 2).
Module Learning Strategies
The module uses 12 hours of formal lectures, and 24 hours of tutorial work. Extensive use is made of the VLE and of formative assessment.

Module Special Admissions Requirement
None
Web Descriptor
This module will introduce you to the issues involved in working with emerging technologies in a business context and to some of the technologies that you will more widely use on your MSc course.
Module Learning Strategies
"The module uses 12 hours of formal lectures, and 24 hours of tutorial work. Extensive use is made of the VLE and of formative assessment.

"