Description College of Computing and Informatics Assignment 2 Deadline: Day 01/08/2024 @ 23:59 [Total Mark for this Assignment is 15] Student

Description

College of Computing and Informatics
Assignment 2
Deadline: Day 01/08/2024 @ 23:59
[Total Mark for this Assignment is 15]
Student Details:
Name: ###
ID: ###
CRN: ###
Instructions:
• You must submit two separate copies (one Word file and one PDF file) using the Assignment Template on
Blackboard via the allocated folder. These files must not be in compressed format.
• It is your responsibility to check and make sure that you have uploaded both the correct files.
• Zero mark will be given if you try to bypass the SafeAssign (e.g. misspell words, remove spaces between
words, hide characters, use different character sets, convert text into image or languages other than English
or any kind of manipulation).
• Email submission will not be accepted.
• You are advised to make your work clear and well-presented. This includes filling your information on the cover
page.
• You must use this template, failing which will result in zero mark.
• You MUST show all your work, and text must not be converted into an image, unless specified otherwise by
the question.
• Late submission will result in ZERO mark.
• The work should be your own, copying from students or other resources will result in ZERO mark.
• Use Times New Roman font for all your answers.
Restricted – ‫مقيد‬
Question One
Pg. 01
Learning
Outcome(s):CLO2
Instructors:
Describe
advanced
Business
Intelligence,
Business
Analytics, Data
Visualization, and
Dashboards.
Restricted – ‫مقيد‬
Question One
3 Marks
How do cloud computing models (public, private) differ, and what are their respective
benefits and drawbacks for business analytics?
Question Two
Pg. 02
Learning
Outcome(s):CLO2
Instructors:
Describe
advanced
Business
Intelligence,
Business
Analytics, Data
Visualization, and
Dashboards.
Restricted – ‫مقيد‬
Question Two
3 Marks
What are the critical success factors for implementing Big Data analytics in an
organization?
Question Three
Pg. 03
Learning
Outcome(s):CLO2
Instructors:
Describe
advanced
Business
Intelligence,
Business
Analytics, Data
Visualization, and
Dashboards.
Restricted – ‫مقيد‬
Question Three
3 Marks
Explain the role of collective intelligence in decision-making processes. How can
organizations harness this to improve outcomes?
Question Four
Pg. 04
Learning
Outcome(s):CLO3
Instructors:
Recognize DSS
evolution to the
current state of
analytics and
artificial
intelligent.
Restricted – ‫مقيد‬
Question Four
3 Marks
As an Expert System (ES) builder builds the necessary ES components and loads the
knowledge base with appropriate representation of expert knowledge in the
development environment, describe the general architecture of Expert Systems and
provide examples with each component. (Note: it is very useful to draw the architecture
of Expert System).
Question Five
Pg. 05
Learning
Outcome(s):CLO4
Instructors:
Analyse various
industrial
applications of
DSS and their
limitations.
Restricted – ‫مقيد‬
Question Five
3 Marks
How does Internet of Thing (IoT) work, explain the Internet of Things ecosystem and
provide at least one examples of available kits for smart homes.

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