Akademik Dersler - Tanıtım


Code - Course Title	MİM558 - Introduction to Artificial lntelligence Applications in Architecture
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	4+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ ÖZLEM KANDEMİR
Mode of Delivery	Face to Face.
Prerequisites	There is no prerequisites and/or co-requisites
Courses Recomended	There is no recommended optional programme component.
Recommended Reading List	Simon, H. A.: 1996 [1968], The Sciences of the Artificial. Third edition. Cambridge, MA: The MIT PressTerzidis, K., 2006, Algorithmic Architecture, Elsevier.
Assessment methods and criteria	One Mid-term exam, One Final, One Assignment
Work Placement	There is no work placement.
Sustainability Development Goals

Weeks	Topics
Week - 1	Relationship Between Computers And Computer Programs (I)
Week - 2	Relationship Between Computers And Computer Programs (II)
Week - 3	Basic Principles Of Computers
Week - 4	Artificial lntelligence Concept And Application Areas
Week - 5	Artificial lntelligence And Architecture Relationship (I)
Week - 6	Artificial lntelligence And Architecture Relationship (II)
Week - 7	Machine Learning Concept
Week - 8	Data Sets: A Files Containing One Or More Records
Week - 9	Machine Learning For Architectural Practices (I)
Week - 10	Machine Learning For Architectural Practices (II)
Week - 11	Fuzzy Logic Concept And Architectural Applications (I)
Week - 12	Fuzzy Logic Concept And Architectural Applications (II)
Week - 13	Üretken Çekişmeli Sinir Ağları Kavramı Ve Mimarlık Uygulamaları (I)
Week - 14	Üretken Çekişmeli Sinir Ağları Kavramı Ve Mimarlık Uygulamaları (II)

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