TYPE OF COURSE UNIT | Elective Course |
LEVEL OF COURSE UNIT | Bachelor's Degree |
YEAR OF STUDY | - |
SEMESTER | - |
NUMBER OF ECTS CREDITS ALLOCATED | 5 |
NAME OF LECTURER(S) | -
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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.
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MODE OF DELIVERY | Face to face |
PRE-REQUISITES OF THE COURSE | No |
RECOMMENDED OPTIONAL PROGRAMME COMPONENT | |
COURSE DEFINITION | The 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 | WEEK | TOPICS |
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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 |
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RECOMENDED OR REQUIRED READING | Artificial Intelligence -A Modern Approach, Russell and Norvig, 3rd edition, Prentice Hall, 2009 |
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Discussion,Questions/Answers,Problem Solving |
ASSESSMENT METHODS AND CRITERIA | | Quantity | Percentage(%) |
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Mid-term | 1 | 30 | Assignment | 1 | 20 | Total(%) | | 50 | Contribution of In-term Studies to Overall Grade(%) | | 50 | Contribution of Final Examination to Overall Grade(%) | | 50 | Total(%) | | 100 |
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ECTS WORKLOAD |
Activities |
Number |
Hours |
Workload |
Midterm exam | 1 | 3 | 3 | Preparation for Quiz | | | | Individual or group work | 14 | 3 | 42 | Preparation for Final exam | 1 | 25 | 25 | Course hours | 14 | 3 | 42 | Preparation for Midterm exam | 1 | 25 | 25 | Laboratory (including preparation) | | | | Final exam | 1 | 3 | 3 | Homework | 1 | 9 | 9 | Total Workload | | | 149 |
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Total Workload / 30 | | | 4,96 |
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ECTS Credits of the Course | | | 5 |
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LANGUAGE OF INSTRUCTION | Turkish |
WORK PLACEMENT(S) | No |
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