Education Information System

Course Title	Code	Semester	L+U Hour	Credits	ECTS
-	TDB2101	4. Semester	4 + 0	4.0	4.0

Prerequisites

None

Language of Instruction	Turkish
Course Level	Associate
Course Type
Mode of delivery	face to face
Course Coordinator
Instructor(s)
Assistants
Goals	The main aim of the course is to create automatic models to solve real-world problems after learning the theoretical background of basic AI Methods and Fuzzy Logic Theorem for different application areas.
Course Content	Interprets the basic concepts and methods of Artificial Intelligence for different fields of study. Analyzes Fuzzy Logic theorem and its applications for different fields of study. - Applies Basic Artificial Intelligence Methods and Fuzzy Logic theorem for different fields of study in relevant projects.
Learning Outcomes	- Interprets the basic concepts and methods of Artificial Intelligence for different fields of study. Analyzes Fuzzy Logic theorem and its applications for different fields of study. - Applies Basic Artificial Intelligence Methods and Fuzzy Logic theorem for different fields of study in relevant projects.

Week	Topics	Learning Methods
1. Week	Definition and characteristics of language, assumptions about the emergence of languages	Course Hours
1. Week	Introduction, Turing test, General History of Artificial Intelligence	Other Activities Course Hours
2. Week	Information flow, Information Representation and Operation of information within the system	Course Hours Other Activities
2. Week	The impact of language on society, culture and nation; his interest in thoughts, feelings and communication	Course Hours
3. Week	Oral and Written Language, PhilologyGrammar-Lenguistik, factors determining the language of a language	Course Hours
3. Week	Expert Systems	Other Activities Course Hours
4. Week	Expert Systems and Applications for Different Application Areas-I	Other Activities Course Hours
4. Week	Classification of world languages in terms of structure and origin, place and characteristics of ili Turkish Language n among world languages	Course Hours
5. Week	Historical development of Turkish; Examination of Old Turkish (Köktürkçe-Uygurca)	Course Hours
5. Week	Expert Systems and Applications for Different Application Areas-II	Course Hours
6. Week	Hybrid Artificial Neural Networks and Expert Systems for Different Application Areas-I	Other Activities Course Hours
6. Week	Historical development of Turkish; Examination of Middle Turkish (Karahanlıca-Harezmce-KipchakChagatay-Old Anatolian Turkish)	Course Hours
7. Week	Historical development of Turkish; The new Turkish (Ottoman-Turkey TurkishChagatai) examination	Course Hours
7. Week	Hybrid Artificial Neural Networks and Expert Systems for Different Application Areas-II	Other Activities Course Hours
8. Week	Fuzzy Logic Theorem	Other Activities Course Hours
8. Week	Midterm
9. Week	The branches of the Turkish language used as the written language in today's world and their span, the main alphabets used by Turkish	Course Hours
9. Week	Fuzzy Logic Theorem and Applications for Different Application Areas-I (ANFIS)	Other Activities Course Hours
10. Week	Fuzzy Logic Theorem and Applications for Different Application Areas-II (ANFIS)	Other Activities Course Hours
10. Week	Language simplification, simplification efforts after the Republic of Turkey Turkish, Turkish today's problems	Course Hours
11. Week	Sound information, definition and nature of sound events, the main sound events seen in Turkish words: sound reproduction, sound drop, consonant softening, consonant hardening, famous shrinking, rinsing and so on.	Course Hours
11. Week	Genetic Algorithms	Other Activities Course Hours
12. Week	Genetic Algorithms and Applications for Different Application Areas	Course Hours Other Activities
12. Week	The main sound features in Turkish words and the main word production ways in Turkish.	Course Hours
13. Week	The historical relation of Turkish with other languages, the channel of interlanguage exchange, the elements quoted by languages, quoted words and types	Course Hours
13. Week	Project Presentations-I	Course Hours Other Activities
14. Week	Project Presentations-II
14. Week	Root varieties, additional varieties, words according to their structure (simple-derived-compound)	Course Hours

YAZIM KILAVUZU; TDK Yayınları, Ankara, 2006.

TÜRKÇE SÖZLÜK; TDK Yayınları, Ankara, 2005.

AĞCA, Hüseyin: Türk Dili, Ankara, 2001, Gündüz Eğitim ve Yayıncılık, 270.

ERGİN, Muharrem: TÜRK DİL BİLGİSİ, Bayrak Yay., İstanbul, 1999

KORKMAZ, Zeynep, GÜLENSOY, Tuncer, ERCİLASUN, Ahmet B.; TÜRK DİLİ VE KOMPOZİSYON BİLGİLERİ, Yargı Yay., Ankara, 2001.

GÜLENSOY, Tuncer: TÜRKÇE EL KİTABI, Akçağ Yayınları, Ankara, 2005.

ussell, S. & Norvig, P. (1995). Artificial Intelligence A Modern Approach, Prentice-Hall, Inc.,

Timothy, J.R. (2010). Fuzzy Logic with Engineering Applications, Third Edition, John Wiley & Sons, Ltd. ISBN: 978-0-470-74376-8.

Goldberg, D.E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley.

Program Requirements	Contribution Level	DK1	Measurement Method
PY6	5	5	40,60
PY9	5	5	40,60

*DK = Course's Contrubution.

	0	1	2	3	4	5
Course's Level of contribution	None	Very Low	Low	Fair	High	Very High
Method of assessment/evaluation		Written exam	Oral Exams	Assignment/Project	Laboratory work	Presentation/Seminar

Event	Quantity	Duration (Hour)	Total Workload (Hour)
Course Hours	14	2	28
Preparation, After Class Study	14	1	14
Midterm 1	15	1	15
Final	20	1	20
Total Workload			77
ECTS Credit of the Course			25.5 4.0