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I want a correct and complete solution for all paragraphs. I must adhere to the instructions. I don’t want plagiarism. I don’t want similarities. I don’t want a solution using artificial intelligence. I want a correct solution.
Put the solution inside the file. Include all requirements. Errors are not tolerated.
If you are confident in yourself and certain that you can solve the problem, accept the work.
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Assignment 1
Deadline: Sunday 28/09/2024 @ 23:59
[Total Mark for this Assignment is 8]
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.
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Question One
Pg. 01
Learning
Outcome(s):
CLO3 Recognize
DSS evolution to
the current state
of analytics and
artificial
intelligent.
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Question One
2 Marks
Universities often use a Student Information System to manage student data.
Such systems may be used both for day-to-day operations (OLTP) and for
decision-making and analysis (OLAP).
1. Briefly explain the difference between OLTP (Online Transaction
Processing) and OLAP (Online Analytical Processing) in this context.
2. Give two examples of OLTP operations and two examples of OLAP
operations in a university’s student information system.
3. For each example, explain why it fits OLTP or OLAP.
Question Two
Pg. 02
Learning
Outcome(s):
CLO4 Analyse
various industrial
applications of
DSS and their
limitations.
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Question Two
2 Marks
How can Artificial Intelligence AI help with each step of the decision-making
process? Support your answer with an application example, such as HR,
marketing, or healthcare.
Question Three
Pg. 03
Learning
Outcome(s):
Question Three
2 Marks
CLO1:
Discuss
Demonstrate an
independence, error normality, constant variance, and no multicollinearity). Why
understanding of
are these assumptions critical for building valid inferential statistical models?
the concepts of
decision analysis
and decision
support systems
(DSS) including
probability,
modelling,
decisions under
uncertainty, and
real-world
problems.
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the
main
assumptions
of
linear
regression
(linearity,
error
Question Four
Pg. 04
Learning
Outcome(s):
CLO2 Describe
advanced
Business
Intelligence,
Business
Analytics, Data
Visualization, and
Dashboards.
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Question Four
2 Marks
Define visual analytics. How does it differ from information visualization, and
what questions does each aim to answer in business analytics?
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