Akademik Dersler - Tanıtım


Code - Course Title	BİM309 - Artificial Intelligence
Course Type	Area Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	4.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ BURCU YILMAZEL
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 other course recommended for this course.
Required or Recommended Resources	"Artificial Intelligence: A Modern Approach" (4th edition), Stuart Jonathan Russel and Peter Norvig, 2020
Recommended Reading List	"Machine Learning Systems: Principles and Practices of Engineering Artificially Intelligent Systems", Reddi, Vĳay Janapa
Assessment methods and criteria	There are 1 midterm (test), 1 quiz (classic), and 1 final exam (test)
Work Placement	Programming assignments about subjects covered in the course
Sustainability Development Goals	Quality Education , Industry, Innovation and Infrastructure

Weeks	Topics
Week - 1	Introduction to Artificial Intelligence (AI)
Week - 2	Intelligent Agents
Week - 3	Solving Problems by Searching - Uninformed Search
Week - 4	Solving Problems by Searching - Heuristic (Informed) Search
Week - 5	Adversarial Search & Games
Week - 6	Constraint Satisfaction Problems
Week - 7	Uncertainty
Week - 8	Machine Learning - Part I
Week - 9	Machine Learning - Part II
Week - 10	Machine Learning - Part III
Week - 11	Logic & Planning
Week - 12	Knowledge-Based Agents
Week - 13	AI Applications: Natural Language Processing (NLP)
Week - 14	AI Applications: Deep Learning

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