PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
YBS 446	INTELLIGENT SYSTEMS	3 + 0	7th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	To gain the ability to design and implement a Smart System, to develop an Intelligent System, and to study how to combine and integrate Artificial Intelligence topics in depth and breadth.
Course Content	Introduction to Intelligent Systems, Artificial Neural Networks, Evolutionary Computation, Fuzzy Logic, Expert Systems, Hybrid Intelligent Systems, Fuzzy Expert systems, Neural Expert Systems, Neuro-fuzzy Systems, Evolutionary Neural Networks.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	To be able to design and implement own IS system
2	To learn ability to use and integrate Software Tools in Artificial Neural Networks, Genetic Algorithms, Fuzzy Logic, Expert Systems.
3	To learn basic concepts of Intelligent Systems, mathematical and software background; to have ability to apply Intelligent Systems to problems. To have both a general “breadth” knowledge of AI techniques, plus a deeper specialized knowledge of one particular sub-area within AI; how to combine or integrate them.

COURSE'S CONTRIBUTION TO PROGRAM

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	4	56
Mid-terms	1	15	15
Final examination	1	17	17
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

Prospective Student