COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MAE 501EXPERT SYSTEMS AND DECISION MAKING3 + 01st Semester 

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective The aim of the course is to enable students to develop an Artificial Intelligence area using problem solving, knowledge, reasoning, representations for planning and problem analysis techniques. .
Course Content Introduction to Artificial Intelligence. Artificial Intelligence Tools. Expert systems. Background and Expert systems Problems. Problem Solving, Searching and Heuristic Programming. Knowledge and Reasoning. Planning and Representations for Planning. Uncertain Knowledge and Reasoning under Uncertainty. Representation information. Methods and techniques. Problem Analysis Techniques. Software’s. Applications.
Prerequisites No prerequisites.
Corequisite No corequisites.
Mode of Delivery Face to face

COURSE LEARNING OUTCOMES
1Will be able to know the Artificial Intelligence
2Will be able to identify Expert systems.
3Will be able to know properties of Artificial Intelligence

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration14342
Hours for off-the-classroom study (Pre-study, practice)14570
Mid-terms12020
Final examination16363
Total Work Load

ECTS Credit of the Course






195


COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes
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