Course Descriptions

 

COURSE DESCRIPTIONS

COGS 500 Introduction to Cognitive Science (Bilişsel Bilime Giriş) (3+0+0) 3 ECTS 6

Introduction of basic concepts, approaches and issues in the field of cognitive science to increase the awareness of the students to the questions raised in the disciplines of computer science, linguistics, philosophy and psychology; focus on the interaction of these disciplines in approaching the study of the mind; specialization on topics central to cognitive science such as the nature of mental representation, reasoning, perception, language use, learning as well as other cognitive processes of humans and other intelligent systems.

COGS 579 Graduate Seminar (Lisansüstü Seminer) (0+1+0) 0 Pass/ Fail ECTS 3

Seminars offered by faculty, guest speakers, and/or graduate students designed to widen students’ perspectives on specific topics of interest and to expand their range of scientific research techniques and publication ethics.

COGS 690 M.A. Thesis (Yüksek Lisans Tezi) ECTS 30

CMPE 530 Mathematical Fundamentals of Artificial Intelligence (Yapay Zekanın Matematiksel Temelleri) (3+0+0) 3 ECTS 8

Signal terminology. Empirical modeling and approximation. Probability concept and signal characteristics for classification. Random processes and decision making. Fundamentals of learning. Optimization theory in classification. Information theory and fuzzy concept applications.

CMPE 532 Speech Processing (Konuşma İşleme) (3+0+0) 3 ECTS 8

Man-machine communication. Speech models and representations. Speech synthesis. Speech coding. Speech Recognition. Dynamic Time Warping and Hidden Markow Models. Neural networks for speech processing. Speech enhancement.

CMPE 537 Computer Vision (Yapay Görme) (3+0+0) 3 ECTS 8

Image formation. Early processing: low-level vision and feature extraction. Boundary detection. Region growing. Texture. Motion. Two-dimensional and three-dimensional representation. High-level vision: learning and matching.

CMPE 540 Principles of Artificial Intelligence (Yapay Zekanın Prensipleri) (3+0+0) 3 ECTS 8

General problem solving methods in artificial intelligence. Search methods. Production systems. Games and heuristics. Knowledge representation. Artificial Intelligence Languages.
Prerequisite: Consent of the instructor.

CMPE 544 Pattern Recognition (Örüntü Tanıma) (3+0+0) 3 ECTS 8

Bayes decision theory. Parametric and nonparametric methods. Linear discriminant functions. Higher order discriminants with emphasis on artificial neural network-based learning methods. Unsupervised learning and clustering. Case study: Vision.

Prerequisite: Consent of the instructor.

CMPE 545 Artificial Neural Networks (Yapay Sinir Ağları) (3+0+0) 3 ECTS 8

Introduction to cognitive science. Parallel, distributed problems. Constraint satisfaction. Hopfield model. Supervised vs. unsupervised learning. Single vs. multi-layer perceptrons. Static vs. dynamic network architecture. Comparison of neural approaches with parametric and nonparametric statistical methods. Neural network applications.

Prerequisite: Consent of the instructor.

CMPE 561 Natural Language Processing (Doğal Dil İşleme) (3+0+0) 3 ECTS 8

Levels of natural language processing: morphological, syntactic and semantic analysis. Transformational grammars. Affix grammars and 2-level representation and processing. Transition networks and ATN parsing. Meaning and interpretation. Applications: intelligent interfaces, text processing aids, machine translation, natural language understanding.

Prerequisite: CMPE 540 or consent of the instructor.

CMPE 565 Autonomous Robots (Özerk Robotlar) (3+0+0) 3 ECTS 8

Robotic hardware: Sensors, actuators. Review of control methods. Intelligent control approaches. Learning. Planning. Robotic architectures: classical, reactive, behavior-based, hybrid. Multi-agent systems.

Prerequisite: Consent of the instructor.

CMPE 547: Bayesian Statistics and Machine Learning (Bayesçi İstatistik ve Yapay Öğrenme) (3+0+0) 3 ECTS 8

Machine learning approaches using Bayesian statistics. Graphical models, directed and undirected models, learning and inference, Hidden Markov models, Linear Dynamical systems, Kalman filtering and smoothing, message passing algorithms, Junction Tree, factor graphs, sum-product, hierarchical Bayesian modeling, Expectation-Maximisation, Variational Approximation texhniques.

Prerequisite: Consent of the instructor.

CMPE 630 Intelligent Control (Akıllı Denetim) (3+0+0) 3 ECTS 8

Review of control concepts. Definition of intelligent control. Knowledge representation and search methods. Expert systems for control. Fuzzy logic control. Neural networks and control. Evolutionary algorithms and control. Intelligent control architecture. Intelligent control applications.

Prerequisite: Consent of the instructor.

LING 406 Language and Identity (Dil ve Kimlik) (3+0+0) 3 ECTS 5

Exploring the use of language in the construction of selves and identities and in the formation of social relationships; different approaches, methodologies, and findings from related fields including sociolinguistics, pragmatics, discourse studies, and cultural studies.

Prerequisite: LING 1o1/111 or consent of the instructor.

LING 408 Language and Gender (Dil ve Toplumsal Cinsiyet)  (3+0+0) 3 ECTS 5

Exploring connections between language use and gender/sex systems. Introduction to a variety of sociolinguistic concepts such as style, dialect, speech community. Conversation analysis and politeness theory.

Prerequisite: LING 101/111 or consent of the instructor.

LING 480-499 Special Topics in Linguistics (Dilbilimde Özel Konular) (3+1+0) 3 ECTS 5

Study of selected topics in linguistics, focusing on areas not covered in other undergraduate courses.

Prerequisite: LING 101/111 or consent of the instructor.

LING 501 Aspects of Phonology (Sesbilim: Çeşitli Yaklaşımlar) (4+0+0) 4 ECTS 10

Various theoretical approaches to phonology and the application of these approaches are considered. Issues concerning the phonological structure of languages are investigated with data from individual languages.

Prerequisite: LING 201/301 or consent of the instructor.

LING 512 Morphological Analysis (Biçimbilim İncelemeleri) (4+0+0) 4 ECTS 10

Aspects of morphological structures in linguistic analysis and various theoretical approaches to the subject. Issues concerning the morphological structure of languages are investigated with data from particular languages.

Prerequisite: LING 201/301, 203/302 or consent of the instructor  

LING 522 English-Turkish Contrastive Grammar and its Application (İngilizce-Turkce Karşıtsal Dilbilgisi ve Uygulaması) (4+0+0) 4 ECTS 10

A detailed analysis and comparison of English and Turkish structure at the phonological, morphological and syntactical levels, followed by analysis of written and textual material.

Prerequisites: LING 201/301, 203/302, ENGL 201, TK 204 or consent of the instructor.

LING 541 Syntactic Theory (Sözdizimi Kuramı) (4+0+0) 4 ECTS 10

Analysis of the syntax of natural languages within the framework of generative grammar. Current issues relevant to this particular theory of grammar are considered.

Prerequisite: LING 203/302 or consent of the instructor.

LING 580-599 Topics in Linguistic Theory (Dilbilim Kuramında Konular) (4+0+0) 4 ECTS 10

Extensive reading, discussion and research on topics selected by the instructor.

Prerequisites: LING 201/301, 203/302 or consent of the instructor.

PHIL 505 Theory of Knowledge (Bilgi Kuramı) (4+0+0) 4 ECTS 10

A comprehensive survey of one or a number of chosen problems such as the nature, limit and source of human knowledge, truth, skepticism, foundationalism and holism, justification, theories of perception, criteria of knowledge and its classification.

PHIL 580-588, 591-599 Special Topics in Philosophy (Felsefede Özel Konular) (4+0+0) 4 ECTS 10

Study of special topics in philosophy not covered in other courses at the master’s level.

PHIL 590 Directed Study (Yönlendirilmiş Çalışma) (4+0+0) 4 ECTS 10

Reading and research on a topic of interest chosen by the student and approved by the instructor.

PHIL 644 Philosophy of Action (Edim Felsefesi) (4+0+0) 4 ECTS 10

An examination of theories concerning the analysis of human action, intention, describability of action and its ontic consequences, reasons and causes, differences between voluntary and merely intentional action, freedom of the will and responsibility.

PHIL 648 Philosophy of Language (Dil Felsefesi) (4+0+0) 4 ECTS 10

A detailed examination of various aspects of contemporary philosophy of language. Theories of meaning, reference, sentential form, the relation of meaning to truth, topics such as mental representation, speech acts, and the ontological dimensions of meaning.

PHIL 652 Philosophy of Mind (Zihin Felsefesi) (4+0+0) 4 ECTS 10

An in depth study of recent developments in the philosophy of mind such as behaviorism, central-state materialism, functionalism, problems of supervenience, representation and content.

PHIL 674 Topics in the Philosophy of Science (Bilim Felsefesi Konuları) (4+0+0) 4 ECTS 10

An in-depth study of some of the major issues and controversies in the philosophy of science.

PHIL 676 Topics in Logic (Mantık Konuları) (4+0+0) 4 ECTS 10

An examination of one or more topics such as modal logic, many-valued logic, free logic and the like, and philosophical problems that arise in connection with them.

PHIL 682 Freedom and Determinism (Özgürlük ve Determinizm) (4+0+0) 4 ECTS 10

An examination of the problem of human freedom and determinism in relation to action and intention, taking into consideration the metaphysical and/or moral implications.

PSY 501 Advanced Research Methods I (İleri Araştırma Yöntemleri I) (4+0+0) 4 ECTS 8

General survey of social science research techniques. Experimental and non-experimental research designs. Measurement theory, reliability and validity. Sampling theory and designs. Overview of statistical evaluation procedures.

PSY 502 Advanced Research Methods II (İleri Araştırma Yöntemleri II) (4+0+0) 4 ECTS 8

Data collection and scaling procedures. Multivariate analysis techniques; regression analysis, factor analysis and related procedures. Complex experimental procedures. The writing of research reports.

PSY 521 Advanced Cognitive Psychology (İleri Bilişsel Psikoloji) (4+0+0) 4 ECTS 8

An in-depth analysis of advanced topics in human cognitive processes underlying perception, mental imagery, short- and long-term memory, language comprehension, decision making, problem solving and skilled performance, including both theory and basic experimental findings.

PSY 528 Memory (Bellek) (4+0+0) 4 ECTS 8

An examination of historical and contemporary theoretical approaches in the field of memory; evaluation of empirical findings, including implications for memory related disorders.

PSY 531 Advanced Developmental Psychology (İleri Gelişim Psikolojisi) (4+0+0) 4 ECTS 8

An in-depth survey of classical and current issues in developmental psychology with reference to theory and empirical research.

PSY 532 Cognitive Development (Bilişsel Gelişim) (4+0+0) 4 ECTS 8

An overview of both classical and recent theories of cognitive development discussed in the light of empirical findings.

PSY 588-591 Special Topics in Cognitive Psychology (Bilişsel Psikolojide Seçilmiş Konular) (2+0+4) 4 ECTS 8

Readings and/or research on special topics in cognitive psychology.

 

NOTES

The following courses had a code change after the present Cognitive Science program went into use. The details are given below:

Old Course

New Course

CMPE 622 – Computer Vision CMPE 537 – Computer Vision
Credits: (3+0+0) 3 ECTS 8 Credits: (3+0+0) 3 ECTS 8
Description: Image formation. Early processing: low-level vision and feature extraction. Boundary detection. Region growing. Texture. Motion. Two-dimensional and three-dimensional representation. High-level vision: learning and matching. The description is unchanged.
Prerequisite: CMPE 530 Prerequisite: Consent of the instructor
   
   
CMPE 623 – Speech Processing CMPE 532 – Speech Processing
Credits: (3+0+0) 3 ECTS 8 Credits: (3+0+0) 3 ECTS 8
Description: Man-machine communication. Speech models and representations. Speech synthesis. Speech coding. Speech Recognition. Dynamic Time Warping and Hidden Markow Models. Neural networks for speech processing. Speech enhancement. The description is unchanged.
Prerequisite: CMPE 530 Prerequisite: Consent of the instructor