ARTIFICIAL INTELLIGENCE I

BTS551

Course Type

Elective Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Will have learned some basic problems in artificial intelligence and also algorithms for solving them.
2. Will have applied the approaches they have learned for solving at least one artificial intelligence problem.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

There is no recommended optional programme component for this course.

Course Description

Course Contents

WEEK	TOPICS
1^st Week	Introduction
2^nd Week	Intelligent agents
3^rd Week	Solving problems by searching
4^th Week	Informed search methods
5^th Week	Information and reasoning: logical agents
6^th Week	First-order logic
7^th Week	Inference in first-order logic
8^th Week	MIDTERM
9^th Week	Uncertainty and reasoning
10^th Week	Uncertainty and reasoning
11^th Week	Stochastic reasoning systems
12^th Week	Stochastic reasoning systems
13^th Week	Making decisions
14^th Week	Applications/Project presentations

Recommended or Required Reading

S.J., Ruseel, P. Norvig: Artificial Intelligence: A Modern Approach, Prentice Hall, 2003.

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Assignment	1	10
Project	1	10
Total(%)		50
Contribution of In-term Studies to Overall Grade(%)		50
Contribution of Final Examination to Overall Grade(%)		50
Total(%)		100

Language of Instruction

Turkish

Work Placement(s)