Description
see
Assignment 2
Deadline: Sunday 09/11/2025 @ 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.
Restricted – مقيد
Question One
Pg. 01
Learning Outcome(s):
Question One
2 Marks
CLO1 – Demonstrate
an understanding of
the
concepts
of
Differentiate among decision-making under certainty, uncertainty, and risk.
decision analysis and
decision
support
systems
(DSS)
including
probability,
modelling,
decisions
under uncertainty, and
real-world problems.
Restricted – مقيد
Answer:
Question Two
Pg. 02
Learning Outcome(s):
LO3
–
Recognize
DSS evolution to the
current
state
Question Two
What is Overfitting in neural networks, and how can it be prevented?
of
analytics and artificial
intelligent.
Answer:
Restricted – مقيد
2 Marks
Question Three
Pg. 03
Learning Outcome(s):
LO2
–
Describe
advanced
Business
Question Three
Explain the main steps of Sentiment Analysis and its applications.
Intelligence, Business
Analytics,
Data
Visualization,
and
Dashboards.
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Answer:
2 Marks
Question Four
Pg. 04
Learning Outcome(s):
Question Four
LO2
2 Marks
–
Describe
Explain what Text Mining is, how it differs from Data Mining, and provide an
advanced
Business
example of each.
Intelligence, Business
Analytics,
Data
Visualization,
and
Dashboards.
Restricted – مقيد
Answer:
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