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Psychology - Course Content

https://www.etu.edu.tr/en/bolum/psychology/ders-icerikleri

Departmental Required Courses Course Code Course Name Prerequisite Credit AKTS PSİ 103 Introduction to Psychology I (Eng) Prerequisite: - 3 6 In this course, students learn the historical development of psychology, major psychological theories, and the fundamental subfields of psychology. In this context, an introduction is provided to core topics in psychology, including the biological bases of behavior, sensation and perception, cognition, lea

History - Course Content

https://www.etu.edu.tr/en/bolum/history/ders-icerikleri

Required Courses Course Code Course Title Credits ECTS TAR 131 History of Turks I 3 Credits ECTS: 3 This course discusses the peoples of Turkistan till the year 1000 (especially Turks and Mongols), focusing on their political formations and civilizations (Huns, Tabgaç, Avars, Göktürks, Hazars, Bulgars, Uighurs, Karluks, Türgishs etc.), the relations between the Turkish peoples and their states, and the cultures developed by

Turkish Language and Literature - Course Content

https://www.etu.edu.tr/en/bolum/turkish-language-and-literature/ders-icerikleri

Undergraduate Curriculum: Departmental Required Courses Course Code Course Name Credit AKTS TDE 111 Ottoman Turkish I 3 Credits AKTS: 6 In this course, the Ottoman Turkish alphabet will be taught, and reading and writing printed texts will be practiced, while Turkish grammatical rules in Ottoman Turkish will be reinforced through applications. TDE 112 Ottoman Turkish II 3 Credits AKTS: 6 In this course, Arabic and Persian grammatical rules in Ott

Artificial Intelligence Engineering - Course Content

https://www.etu.edu.tr/en/bolum/artificial-intelligence-engineering/ders-icerikleri

Required Courses YAP 101 Introduction to Data Science Prerequisite: - 3 Credits The aim of this course is to teach you the fundamental topics in data science in order to help you get prepared for advanced topics. Firstly, we will discuss causality and experimental research. Subsequently, we will teach the programming skills required for data analysis including programming in Python, DataFrames, and visualization. Next, we will see the topics of r