EI 15 .pdf
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Mark scheme for Empirical Investigation
Looking for a systematic approach from scoping to delivery
& testing of outcome.
Include selection of tools, software libraries, methods, and
if appropriate, the setting up of experimental platform or
environment for collection of empirical data. May need to
build in a risk mitigating strategy regarding availability of
Relevant literature review.
Deep understanding of the context leading to good
definition of problem and scoping of project. This may
involve some kind of empirical study to clarify the context
or the problem.
Implementation of data collection instruments or
prototypes or experimental system.
Evidence of collected data and results from study.
Systematic analysis leading to outcome of study.
Testing of outcome and/or user evaluation to ensure
quality of deliverables.
An objective self-assessment on achievements of the
project and lessons learned.
Discussion on future work.
Personal reflection on project process and experience.
This includes aspects of presentation (e.g. clarity of
writing, style, use of diagrams & tables, referencing),
appropriate structure, format and length, and inclusion of
all compulsory sections. It is expected that good projects
will be written in a style and language appropriate to the
subject area, that is, they should address the computing
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