Courses

This course will cover the methods of DNA and protein sequence analysis in depth including analysis of homology, identification of motifs and domains, pair-wise and multiple alignments, and statistical significance of sequence alignments. The course will also cover sequence and motif databases such as GeneBank, SwissProt, Prosite, and Pfam.

Phrase structures, syntax, parsing. Semantics: Lambda-calculus, logic forms, compositional semantics, writing parsers and interpreters.Context-free grammars for Natural Language Processing. Definite-clause grammars.Basic concepts in morphology. Top-down and bottom-up parsing. 

Natural language and linguistics knowledge. Language and grammar. Morphology. Syntax and grammatical structure. Semantics: Word meaning and grammatical meaning. Pragmatics: The grammar of discourse. Phonology. Countable and countably infinite sets. Regular expressions and regular grammars. Finite-state machines. Context-free grammars. Push-down automata. Parsing and derivation: a brief...

An introduction to computational modeling in cognitive science, including computer simulation models of complex cognition, models within artificial intelligence, models based on neural mechanisms and networks, and formal and mathematical models in areas such as psychology, linguistics, and philosophy. Mathematical and computational modeling of the evolution of cognition. Models of cognition...

Lexical relations, approaches to meaning components (binary features, logical decomposition, semantic primitives), lexical organization (categorization, prototypes, metaphor, metonymy, semantic maps), lexical meaning and compositionality, verb semantics (event classification, event structure, argument structure, linking problem), lexicon in computational theories of grammar, close up on...

Models for the acquisition, processing, and application of human knowledge as the object of cognitive sciences. Cognitive linguistics as the investigation of the acquisition, processing, and application of language knowledge. Grammar as a model of human language knowledge. Relations to artificial intelligence.

Development of infants (first 2 years of life) and pre-scholars (2-6 years). Theories of development (Nativist, empiricist, genetic epistemology dynamic systems theory (DST)). Basic concepts of development: knowledge representation, learning, maturation, modularity, domain-general vs. domain-specific development, emergence. Research methodology and experimental paradigms. Basic milestones in...

The course aims to examine the theories and research methods in first language acquisition of phonology, morphology, syntax, semantics and pragmatics including representation of knowledge structures and bilingual processing.

This course will examine language, knowledge representation and thinking from the standpoint of behavioral research. Basic mental processes related to phonological, orthographic, syntactic and semantic processing will be examined. Rule-based and alternative approaches to human reasoning will be considered. The course will include discussions of specific topics such as logical reasoning,...

This course will concentrate on the perceptual and cognitive analysis of auditory stimuli at simple and complex levels. The early part of the course will be devoted to an introduction to the physical properties of sound and structure and functioning of auditory sense organs and the auditory nervous system. This will be followed by discussion of perception of simple qualities of sound as pitch...

This course aims to provide the students familiar with aspects related to game aesthetics. This course aims at presenting fundamentals of visual design. Content areas include: history, basic visual design, visual design in an interactive content, world design, motion graphics and game art. Special emphasis is placed on how visual aesthetics play a role in the game experience.

This course aims to provide the students familiar with aspects related to Multi-Player Game Design. This course aims at presenting the techniques and concepts required to develop a multi-player game. Content areas include: introduction, multiplayer games, massively multiplayer online games, game play and scenario issues in multi-player games, software architectures, server design for non-...

The course introduces the students to the fundamental concepts of information systems. These include: systems theory; management information; conceptual models of information in organizations; MIS; decision support systems; enterprise resource planning systems; information systems planning; organizing for information system projects; IS project lifecycle models; IS development and maintenance...

Introduction to database concepts: data abstraction/independence, data models (Entity-Relationship model, Object Oriented model, relational/network/hierarchical model), database languages (DDL, DML), database administrator/user. Storage and File Structures. Indexing and hashing. Relational Model: formal query languages (Relational algebra, Relational calculus), commercial query languages (SQL...

This course aims to integrate fundamental awareness and expertese obtained in earlier information systems and software engineering courses into a meaningful whole through an applied group project. Students are organized in teams and each team is responsible from a stage in a complete IS development project. Teams communicate via formal documentation prepared and reviewed over the Internet....

Contemproray issues about IT Governance as a whole; but major concentration upon IT Organization IT Management IT Processes IT Project Management IT Control Standards & Security IT Risk Management & Audit issues will be thoroughly discussed and practiced in this course. By focusing on Business Requirements and Business-Technology Alignment; well-applied Global Best Practices,...

The course provides the basics of computer organization and advanced architectures used in the design of modern computers. Together with fundamentals of computer organization, instruction level parallelism, memory hierarchies, storage systems and multiprocessor systems are given.

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 This module aims to introduce the student to the basis of the legal systems that govern the supply and use of computer and communications technology. The sources of law regulating electronic transactions arising related to these technologies will be emphasized. Developing an understanding of the regulatory framework relating to electronic business transactions, starting with the simple...

The course introduces the students to the fundamental concepts of information systems. These include: systems theory; management information; conceptual models of information in organizations; MIS; decision support systems; enterprise resource planning systems; information systems planning; organizing for information system projects; IS project lifecycle models; IS development and maintenance...

Introduction to database concepts: data abstraction/independence, data models (Entity-Relationship model, Object Oriented model, relational/network/hierarchical model), database languages (DDL, DML), database administrator/user. Storage and File Structures. Indexing and hashing. Relational Model: formal query languages (Relational algebra, Relational calculus), commercial query languages (SQL...

The course introduces the fundamentals of software management and software system models with an emphasis on software development process models, project management techniques and contemporary modeling notations.

Architectures for Multimedia Systems, Digital Audio, Video Technology and Image Compression, Computer Graphics, Multimedia Information Systems, Multimedia Communication Systems.

This course presents models of software process improvement. Primary topics include software process improvement frameworks, software quality management and quality assurance standards, software process modeling languages, software process metrics, process improvement in other disciplines. Students will select a related topic for further research and will prepare a research paper on this topic...

e-Government (e-Gov) design and Management, Components of e-Government, e-Gov Maturity, e-Organization, e-Transformation, e-Government: world trends, e-Turkey, e-Europe+ The course covers the e-Government transformation process and models for measuring and implementing the transformation. It also emphasizes on e-Org which is one of the major components of e-Gov. The best e-Gov and e-Org...

This course will complement “IS 507 Introduction to Software Engineering”, “CENG 704 Electronic Commerce on the Internet”, “IS 537 IT Governance” courses by providing legal and ethical issues with respect to commercial software, e-government and web site development applications in Turkey, EU and US.

Contemproray issues about IT Governance as a whole; but major concentration upon

• IT Organization
• IT Management
• IT Processes
• IT Project Management
• IT Control Standards & Security
• IT Risk Management & Audit
  
  issues will be thoroughly discussed and practiced in this course. By focusing on Business Requirements and...

Theoretical and modeling issues in information retrieval: automatic indexing; techniques for searching and ranking output; retrieval output evaluation; classical and user-oriented approaches to automatic classification; relevance feedback; Markov models; distributed retrieval; document filtering; cross-language retrieval; the role of decision models and machine learning, in particular learning...

Introduction to privacy, data security, communication security and file security in computers and computers networks. Introduction to cryptography, its role in electronic data processing. Block ciphers, stream ciphers and DES, data encryption standard. Trusted computer systems, issues in authentication and verification.

The course introduces principles and techniques of data mining and knowledge discovery. It emphasizes the advantages and disadvantages of using these methods in real world systems and provides hands-on experience. Its technical focus is on qualitative and quantitative knowledge based systems and learning systems. Topics include key issues of data mining and machine learning, decision trees,...

This course is designed with two main objectives: to acquaint students with prominent information systems professionals from industry, and to provide students with a chance to prepare and present a professional seminar on information systems. Invited speakers shall present seminars on their professional experience, and students will be required to hold one-hour seminars on subjects of their...

Students who have already taken some of the core courses listed above (or their equivalents) should take elective courses to replace them.

As an emerging discipline, Knowledge Management bridges myriad technological-technical, individual-institutional, and social-managerial aspects of various areas including computer engineering, library and information systems, intelligence, cognition, communications, business administration, technology development, innovation, creativity, and learning in the global...

This course gives an overview of contemporary health records and then introduces computer based patient records/electric health records. Topics include data entry, minimum data sets, general applications of electronic health records, standards in health and medical informatics, importance of coding and standardization, clinical uses of CPR. Current applications in...

The course summarizes the fundamentals of computer networking from a health informatics perspective and introduces the students to the underlying concepts of telehealth. Topics on computer networking include hardware and software components, protocol layers, application layer protocols, socket programming, Internet protocol, multimedia networking and local area...

This course provides a basic overview of the applications of medical imaging and Radiology Information Systems (RIS). Practical applications of X-ray radiography, computed tomography, magnetic resonance imaging, ultrasound and ultrasonography, Doppler ultrasound and Doppler ultrasonography, computed radiology, digital radiology, radiology information systems and other medical imaging...

The course introduces all three aspects - anatomy, physiology and function- of neuroimaging, which is enlisted as a sub-field of neuroinformatics. Theoretical knowledge on neuroanatomy and function of the brain will be complemented by hands-on applications with the existing online data analysis packages. The anatomy of the brain will be studied over MR images using...

Review of probability theory and random variables. Sequence of random variables, convergence concepts. Stochastic processes. Queuing problems based on birth and death models. Introduction to renewal theory. Applications in reliability and replacement models. Semi-Markov processes. Poisson processes, shot noise; Markov processes; orthogonal expansions, least mean square error estimation.

Basic LP models. Lanchester models. Deterministic combat models. Probabilistic combat models. Strategic defense. Tactical engagements. Homogenous combat models. Heterogeneous combat models. Threat assessment. Strategic stability. Mathematical models of combat. War games.

Maximizing expected monetary value. Maximizing expected utility. Judgmental probabilities. Value of information. Normal form of analysis. Risk sharing.

Introduction to computer graphics. The rendering pipeline. Rasterization algorithms. Two-dimensional and three-dimensional transformations. Quaternions. Hierarchical modelling. Animation. Viewing transformations. Rendering basics. Illumination and color models. Geometrical Modelling. Hidden surface elimination problem. Shading, deformation, ray tracing, radiosity, texture mapping, fractal...

Introduction to DIS. The DIS protocol. DMSOs. High Level Architecture (HLA) and Run-Time Infrastructure (RTI). Representing synthetic environments. Federation development process.

The course introduces the basic principles of the personal software process and help individual engineers to improve their performance by bringing discipline to the way they develop software. Students start with the PSP0 process, where they use their current programming practices. The PSP process is enhanced through seven process versions, with students writing one or two programs with each...

Introduce students to the concept of software process and software process improvement through the use of software process capability models. Emphasis will be placed on the application of process concepts to industrial situations. Other topics will include software process assessment techniques, software process improvement models and process capability models in related areas.

The relationship of software testing to quality is examined with an emphasis on testing techniques. Topics include module and unit testing, integration and acceptance testing, statistical testing methods, defining test plans and strategies that map to system requirements. Testing principles, formal models of testing and software testing standards are also examined.

This course aims to enhance students' understanding of software acquisition problems and their appreciation of mature acquisition processes. Not only the internationally accepted mature acquisition processes but also suggestions for one-time software acquisition are discussed.

Overview of Computer Aided Instruction (CAI): Types, strengths and weaknesses, effective CAI. Implications of the learning theories for courseware design and authoring. Features, advangates and limitations of different CAI modes. Planning and managing CAI projects. Designing and producing CAI.

The aim of this module is for the student to review and reflect on past and current learning experiences; develop a portfolio in which this learning is evidenced; and submit it to the University as a claim for academic credit.  The rationale for this module is that, firstly, these tasks develop skills in self evaluation and argumentation which are necessary for Master study. ...

The aim of this module is for the student to review and reflect on past and current learning experiences; develop a portfolio in which this learning is evidenced; and submit it to the University as a claim for academic credit.  The rationale for this module is that, firstly, these tasks develop skills in self evaluation and argumentation which are necessary for Master study. ...

To develop critical awareness of research and development issues in the work place; to reflect upon the position of the worker researcher and the ethical issues involved; to develop a work based research project proposal supported by a critical commentary and other output demonstrating engagement and developing understanding of work based research.

This module aims at teaching students how to evaluate technologies in a business context, to increase the awareness, effectiveness and skills in analyzing, managing and understanding of issues related to technology and organizations.
This is done through the introduction of a methodological approach to e-business design and development. The module also introduces the concepts that...

The rationale, aims and objectives of this module are drawn up by students in the ‘learning agreement’.  It follows that each project module will be unique in terms of its aims.  Students will be required, however, to demonstrate that the project leads to a product which has useful outcomes for specific work based activity.  All students will be required to maintain a personal...