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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
ARTIFICIAL INTELLIGENCE TKM457 - 3 + 0 5

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED5
NAME OF LECTURER(S)-
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Knowledge about basic methods in artificial intelligence.
2) An ability to formulate and solve practical problems using basic methods in artificial intelligence.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITIONThe course aims to teach the students about the concept of Artificial Intelligence, which has become a part of our daily life with the development of computers, and its working principles.
COURSE CONTENTS
WEEKTOPICS
1st Week Basic Concepts, History and Philosophy of Artificial Intelligence
2nd Week Intelligent Agents
3rd Week Problem Solving with Artificial Intelligence and Introduction to Search Algorithms
4th Week Search Algorithms Without Problem Information
5th Week Intuitive Search
6th Week Game Problems
7th Week Top-Heuristic Search Methods
8th Week MIDTERM
9th Week Artificial neural networks
10th Week Information Based Agents
11th Week First Order Logic
12th Week First Order Logic Inference
13th Week Prolog Programming Language and Logical Programming
14th Week Probability Based Inference
RECOMENDED OR REQUIRED READINGArtificial Intelligence -A Modern Approach, Russell and Norvig, 3rd edition, Prentice Hall, 2009
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Discussion,Questions/Answers,Problem Solving
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Assignment120
Total(%)50
Contribution of In-term Studies to Overall Grade(%)50
Contribution of Final Examination to Overall Grade(%)50
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam133
Preparation for Quiz
Individual or group work14342
Preparation for Final exam12525
Course hours14342
Preparation for Midterm exam12525
Laboratory (including preparation)
Final exam133
Homework199
Total Workload149
Total Workload / 304,96
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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