Demonstrate an understanding of the concepts of decision analysis and decision support systems (DSS) including probability, modelling, decisions under uncertainty, and real-world problems.

Annual Report

FY [Year]

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2 Marks

 

Learning Outcome(s):

Instructors: Understand the development of systems for providing decision-making support and understand the basic concepts of artificial intelligence (AI) and see selected applications

Question One

Using machines, the main objective of Artificial Intelligence (AI) is to mimic how individuals think, learn, make decisions, and solve problems. State the levels of AI and which levels are equivalent to weak and strong Artificial Intelligence?

 

2 Marks

 

Learning Outcome(s):

Instructors: Understand the development of systems for providing decision-making support and recognize the evolution of such computerized support to the current state of analytics/data science and artificial intelligence

Question Two

Decision Support System (DSS) is a methodology for supporting decision making and uses an adaptable computer-based information system (CBIS) which was developed for supporting the solution to a specific unstructured management problem. List the components of DSS and explain how interconnected, and implemented, for decision making (support your answer with some examples).

2 Marks

 

Learning Outcome(s): CLO1

Instructors: Demonstrate an understanding of the concepts of decision analysis and decision support systems (DSS) including probability, modelling, decisions under uncertainty, and real-world problems.

Question Three

What is Turing Test? How to pass it?

2 Marks

 

Learning Outcome(s): CLO1

Instructors: Demonstrate an understanding of the concepts of decision analysis and decision support systems (DSS) including probability, modelling, decisions under uncertainty, and real-world problems.

Question Four

Name two major AI technologies and provide an example/application for each one from your real-life.