The module will be assessed based on 100% coursework (CW), which is divided into two equally weighted items: written report (CW1) and lab assessment (CW2).
computer science
Description
Business Intelligence
Semester 1
Summary of Module Assessment
The module
will be assessed based on 100% coursework (CW), which is divided into two
equally weighted items: written report (CW1) and lab assessment (CW2).
CW 1 - Report [50%]
Students are
required to produce a knowledge management strategy for a fictitious
organization struggling with BI understanding and implementation. Students will
submit this strategy (in the form of a technical report) via Blackboard Learn.
CW 2 - Practical skills assessment
[50%]
Students are required to design and implement a
simple knowledge-oriented system. Students will provide a demonstration of
their prototype during Week 11/12 of the module.
During Week
6 students will have the opportunity to discuss their ideas with the Lecturer
for formative feedback, this will help them shape the strategy before formal
submission in Week 10 (feed forward approach).
Students
will be provided with detailed individual feedback via online marking, an
assessment rubric will be applied for grading purposes, this will be given to
students in Week 1 so they can self-assess their contribution.
Feedback for
the course will be provided in a timely manner, not exceeding three weeks from
the submission deadline.
·
A 1-page
report proposal including data description, scope and plan should be submitted
to the BBL by 23:59 pm on Tuesday 22/10/2019.
·
A
copy of the report combined with a coversheet as a single file, along with any
additional supporting material, such as data, sketches, designs, and
presentation slides, should be submitted to the Assessments folder on BBL by
23:59 pm on Friday 29/11/2019.
·
The report must have a maximum length
of 11 pages A4, using Arial or Cambria font with a font-size 12 single line
spacing. This should include references that should be on one page maximum and
use the Harvard Style.
·
Demonstration of a prototype BI System
(Weeks 11 and 12 in the lab).
