Akademik Dersler - Tanıtım


Code - Course Title	BBB2002 - Introduction to Artifical Intelligence
Course Type	Required Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	4.0
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ ÖZGÜR GÜLTEKİN
Mode of Delivery	The mode of delivery of this course is Face to face.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course.
Required or Recommended Resources	Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th Edition). Pearson.Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.Mitchell, T. M. (1997). Machine Learning. McGraw-Hill.
Recommended Reading List
Assessment methods and criteria
Work Placement	N/A
Sustainability Development Goals	Quality Education , Decent Work and Economic Growth , Industry, Innovation and Infrastructure , Sustainable Cities and Communities , Peace, Justice and Strong Institutions

Weeks	Topics
Week - 1	Introduction to Artificial Intelligence
Week - 2	Intelligent Agents & Solving Problems by Searching
Week - 3	Informed Search & Search in Complex Environments
Week - 4	Constraint Satisfaction Problems & Adversarial Search and Games
Week - 5	Logical Agents & First-Order Logic
Week - 6	Probabilistic Reasoning & Bayes Nets
Week - 7	Machine Learning, Types of Learning & Data Preparation
Week - 8	Cross Validation, Model Evaluation & Overfitting
Week - 9	Supervised Learning
Week - 10	Unsupervised Learning
Week - 11	Reinforcement Learning
Week - 12	Artificial Neural Networks & Perceptron
Week - 13	Deep Learning
Week - 14	Recent Trends in Artificial Intelligence

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0