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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ELO 320INTRODUCTION TO ARTIFICAL INTELLIGENCE2 + 05th Semester 

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of this course is brought knowledge and abilities about different artificial intelligence approaches, basic concepts, solving of problems which are demanding of searching, expression ways of knowledge, learning algorithms and advanced artificial intelligence. .
Course Content Artificial intelligence concepts.Informed and uninformed searching.Blind searching.Heuristic searching.Game designing.Answering and querying.Learning theory.Types of learning.Artificial neural networks.Expressing knowledge.Semantic circuit.Pattern matching.Indefiniteness.Probability.Planning.Graphical plan.Markov decision-making process.Natural language processing.Images.Low-level vision and categorizing.Advanced artificial intelligence applications.Learning.Perceiving images.Natural language concept.Indefinite queries.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Defines the concepts of artificial intelligence.
2Unaware (unimformed) informed search, informed (informed) describes informed search.
3Smart programs, design (intelligent programs) makes the
4Describes various applications of artificial intelligence.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13
LO 0013 5          
LO 0023 5          
LO 00334555        
LO 0043 5          
Sub Total1242055        
Contribution3151100000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Mid-terms11616
Final examination11616
Total Work Load

ECTS Credit of the Course






60

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