This course will follow three main paths: Firstly it will introduce philosophy to doctoral students. The meaning of philosophy, its scope, its sub-branches and its different schools will be the subject topic of the first weeks. Then the course will focus on the relation of philosophy with the sources of knowledge and different sciences. Here, Rationalism, Empiricism and Intuitionism will be covered during the following weeks. In the remaining weeks the course will concentrate on philosophy of science and scientific ethics. Logical positivism, paradigm changes, falsificationism, the questions of “what is science”, “what is pseudo-science?”, “what is the relation between theory and reality?” are amongst topics that will be covered. Finally, the course will concentrate on ethical theories and will particularly cover scientific ethics.

This course is designed to provide an introduction to theoretical perspectives and foundations in the fundamental topics of information and communication technologies, digital systems and digitization in business processes. This course aims to help information systems postgraduate students to carry out a research in Information Systems field as well as in fields of business, information science, communications, computer science, etc. In this course, students will be able to apply and understand the strengths and weaknesses of the commonly used research methodologies in information systems, enhance their ability to theorize about information technology and learn the process of publishing information technology related research in information systems and non-IS journals.

This course is intended to explain the state art of the innovation practices. Based on the main concepts, students will learn to analyse the practical implications of innovation for organizations. The course examines the importance of innovation management, discusses and analyses main forms of innovation methods. Furthermore, students will be able to distinguish between different stages of spread of innovation and the psychology of adaptors. Students will also learn wider concepts such as barriers and impediments towards innovation and will be able to evaluate solution methods based on real case scenarios After the successful completion of the course students will be able to discuss and evaluate different types of innovation and their impact on new product development and organizational effectiveness.

This course is intended to explain the state art of the electronic government (e-government) practices. Based on the main concepts, students will learn to analyze the practical implications of e-government practices for the public sector organizations. The course examines the development of e-government practices, discusses and analyses main forms of e-government methods. Furthermore, students will be able to distinguish between different citizen engagement methods. Students will also learn wider concepts such as barriers and impediments towards e-government and will be able to evaluate solution methods based on real case scenarios. The impact of innovation for the changing models of government service delivery will also be examined within the course. After the successful completion of the course students will be able to discuss and evaluate different stages of e-government practices and their impact on citizen engagement and organizational effectiveness.

Brief information about programming languages. Variables, data types, control statements. Statement-level control structures. Graphical User Interface design with grid, flow, border and null layout. Object Oriented Programming with description of constructors, abstract data types, encapsulation, type compatibility, type checking, polymorphism. Exception handling. Multi-threaded applications, thread synchronization. File operations and management.

Entering the data collected to the computer, organizing and getting data ready for statistical analyses; normal distribution and sampling distribution of the mean; establishing confidence intervals; writing research questions, research hypotheses, null hypotheses; hypothesis testing. Descriptive statistics: Measures of central tendency and position measurements (arithmetic mean, median, peak, percentile and quartile); measures of variability (distribution width, variance, standard deviation); display of data. Inferential statistics: t-test applications (single-sample t-test, independent samples t-test, dependent samples t-test), analysis of variance applications (one-way ANOVA, two-way ANOVA, MANOVA, ANCOVA); correlations (Pearson and Spearman correlation coefficients), partial correlation; multiple linear regression; exploratory and confirmatory factor analyses; reliability; non-parametric tests (Wilcoxon signed rank test, Mann-Whitney U test, Kruskal-Wallis test, Chi-Square tests); interpreting and writing results of analyses.

Software quality control management, processes, systems, methods, standards, certification, and measurement. Quality assurance standards and control processes. Cost-effective quality control system. Quality measurement metrics.

This course addresses the emergence of internet technology from a cultural perspective, placing this new medium in a historical context and examining its relationships to older media forms. Students will also consider some of the political, social and economic debates which relate to the production and consumption of internet culture, including surveillance and privacy, the ‘digital divide’, the ‘disruption’ of traditional industries, questions of the psychological impact of internet use, and the capacity of the internet to effect political change. Finally, the course will consider whether the existing theoretical models which scholars use to analyse media and culture are suited to internet technology, or whether new approaches are required.

Nowadays, there exists different alternatives for software development methods and tools to design an information system. The aim of this course is to provide students with the knowledge of the languages ​​that can be used for developing applications for desktop, web and mobile platforms. Besides, alternative databases that can be used for large architectures like relational, distributed and NoSQL databases will be discussed.

This course aims to furnish the students with the tools to analyze, evaluate and improve thinking skills. The most significant variable in determining success or failure is the quality of thinking and it is an indispensable trait for any advance academic study. Based on this perspective students will be encouraged to examine their thinking patterns and put it to some stern tests. After covering standards of thinking and advance thinking techniques, attention will be focused on managerial judgment and leadership wisdom. Managerial judgment and decision making based on wise leadership gained paramount importance in the ever changing and extremely complex environment of our times.

This course is concerned with helping managers identify, select and implement strategies that would make their organizations more competitive in the marketplace. These strategies encompass decisions such as which "products" their firm offers and chooses not to offer, by the markets it seeks to serve and not serve, by the competitors it chooses to compete with and to avoid, and the level of vertical and horizontal integration it considers as optimal for all of its stakeholders. Specific ways to compete in the chosen "markets" will usually be characterized by one or more functional strategies such as product line strategy, positioning strategy, pricing strategy, distribution strategy, segmentation strategy, manufacturing strategy, information technology strategy, and global strategy. The intent of this course is to provide decision makers with concepts, methods and procedures by which they can improve the quality of their strategic (marketing management) decision-making.

Principles of computer network design. Network design and optimization algorithms. Centralized network design, switching node location problems. Application of minimum spanning tree and shortest path algorithms to problems in network design. Static and dynamic routing algorithms. Network reliability analysis in design. Ad-hoc and cellular wireless network design. Case studies.

Review of pipelined processor design and hierarchical memory design. Identification of parallelism in processes. Multiple diverse end functional units in a pipelined processor. Static, dynamic, and hybrid branch prediction techniques. Tomasulo Algorithm for efficient resolution of true data dependencies. Advanced data of techniques with and without speculative execution. Multiprocessor systems. Multi-threaded processors.

İLERİ ARAŞTIRMA YÖNTEMLERİ

Focusing primarily on the internet and digital cultures, this course will explore the theoretical and practical debates that have developed around the concept of ‘new media’. Topics to be studied include interactivity, social networking, media convergence, cyberculture and the emergence of ‘web 2.0’. Are these developments anticipated by pre-existing studies of communication practice, or are new theoretical models required to understand them?

This course aimed to analyse the forming and designing the planned message and its communication techniques and media within the framework of practices in strategic communication management. Relating to this, the case studies on how the effective media management should be are examined.

Cryptographic Protocol Theory, Oblivious Transfer, Digital Cash, E-Voting Applications, Identity-Based Encryption, Information Theoretic Approach in the Security of Cryptographic Protocols, Cryptographic Engineering, Crypt-analytic Tools and Attacks, Quantum Cryptography, Secure Multi-Party Computation, Error- Correcting Codes and Cryptography

Designed to help the participants gain a better understanding of some of the most critical issues in the field of strategic management today. The issues addressed include: understanding some of the principal driving forces that will shape the future of international competition; the central role of corporate purpose to strategy in individual firms; the role of capital markets and corporate financial policies in shaping a firm's competitiveness in global markets; the identification of appropriate boundaries for a firm, including strategic alliances and the degree of diversification; the future of the implicit “contract” between employees and the corporation, and its implications for the meaning people find in their work and for the creation of knowledge-based competitive advantages; and the future evolution of corporate governance (particularly the role of boards of directors and institutional shareholders).

This course will follow three main paths: Firstly it will introduce philosophy to doctoral students. The meaning of philosophy, its scope, its sub-branches and its different schools will be the subject topic of the first weeks. Then the course will focus on the relation of philosophy with the sources of knowledge and different sciences. Here, Rationalism, Empiricism and Intuitionism will be covered during the following weeks. In the remaining weeks the course will concentrate on philosophy of science and scientific ethics. Logical positivism, paradigm changes, falsificationism, the questions of “what is science”, “what is pseudo-science?”, “what is the relation between theory and reality?” are amongst topics that will be covered. Finally, the course will concentrate on ethical theories and will particularly cover scientific ethics.