COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 425EXPERT SYSTEMS3 + 07th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Purpose of this course is to teach what expert systems, their using areas, how they are built and properties related to user interface.
Course Content Introduction to expert systems, representation of information in computers, programming languages for expert systems, sets and logic, methods for inference, trees, networks and graphs, inference with forward chaining and back chaining, inference with ambiguous, theory of probability, distribution of probabilities, methods for fuzzy logic, inference with deficient data, ambiguous factors and theory of Dempster-Shafer, design of expert systems, pattern matching, effective programming, examples of expert systems.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to face

COURSE LEARNING OUTCOMES
1Understanding of expert system components
2Understanding of methods for representing of information
3Understanding of representing in programming languages
4Understanding of inference for expert systems
5Understanding of design of expert system
6Understanding of various examples for expert systems

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 0151254   3   
LO 0251254   3   
LO 0351254   3   
LO 0451254   3   
LO 0551254   3   
LO 0651254   3   
Sub Total306123024   18   
Contribution512540003000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms11515
Final examination12121
Report / Project11010
Total Work Load

ECTS Credit of the Course






130

5

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