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Global Trends in Computer Science
Module aims
This
module
aims
to:
•
Familiarise students with the online classroom
environment and allow them to explore current
practice in computer science and information
technology by sharing their global perspectives and
experiences in discussion forums.
•
Provide a comprehensive and holistic introduction to
current trends in computer science, such as enterprise
systems management, data protection and big
data analytics, cyber security, pervasive computing,
sustainable technology and risk management.
•
Highlight the global, integrative and collaborative
nature of the information technology industry, whilst
allowing students to explore the relevance and
impact of their unique regional contexts through
critical discussion and group work.
•
Allow students to explore and critically debate
the use of information technology in an enterprise
setting, the best way to make decisions regarding
technology, and the management and administration
needs of an organisation.
Learning
outcomes
Students will be able to:
•
Contribute to an academic community via the use
of an online classroom and discussion forum, whilst
demonstrating a commitment to lifelong learning,
academic integrity and an understanding of the
academic writing style.
•
Produce an artefact that involves searching for,
assimilating and analysing relevant scholarly resources,
reflecting a range of viewpoints with original thought
and commentary, and demonstrating digital fluency with
search tools and presentation software.
•
Demonstrate a critical understanding of current trends
in computer science, and an appreciation of how
information technology can be used to support business
processes and add value to global enterprises.
•
Articulate the legal, social, ethical and professional
issues related to developing and using information
systems and modern technology solutions,
demonstrate professionalism, and follow relevant
professional codes of practice.
Syllabus
•
Trends in computer science
•
Information
technology
•
Data and risk management
•
Cyber
security
•
Green
computing
•
Internet of things and smart cities
•
Big data analytics
•
Real-time, high integrity and embedded systems
Learning and teaching methods
The mode of delivery is by online learning, facilitated
by a Virtual Learning Environment (VLE). This mode of
study enables students to pursue modules via home
study while continuing employment. Module delivery
involves the establishment of a virtual classroom in which
a relatively small group of students (usually 10-25) work
under the direction of a faculty member. Module delivery
proceeds via a series of eight one-week online sessions,
each of which comprises an online lecture, supported
by other eLearning activities, posted electronically to
a public folder in the virtual classroom. The eLearning
activities will include lecture casts, live seminar sessions,
self-assessment activities, reading materials and other
multimedia resources. Communication within the virtual
classroom is asynchronous, preserving the requirement that
students are able to pursue the course in their own time,
within the weekly time-frame of each seminar. An important
element of the module provision is active learning through
collaborative, cohort-based, learning using discussion
forum where the students engage in assessed discussions
facilitated by the faculty member responsible for the
module. This in turn encourages both confidence and global
citizenship (given the international nature of the online
student body).
MSc / PG Dip / PG Cert
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