Compulsory Courses
First Semester
ORGANIZATION AND MANAGEMENT
Second Semester
MANAGEMENT INFORMATION SYSTEMS
Elective Courses
RESEARCH IN INFORMATION SYSTEMS: ORGANIZATIONAL PERSPECTIVES
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.
INFORMATION SYSTEMS DESIGN AND MANAGEMENT
DATA MINING AND BUSINESS INTELLIGENCE
DATABASE MANAGEMENT SYSTEMS
COMPUTER NETWORKS AND COMMUNICATIONS
E-GOVERNMENT STUDIES
This course introduces the main concepts of electronic government (e-government) practices and analyses the practical implications of e-government for public organizations. The course examines the development of e-government practices, discusses and analyses main forms of e-government methods, focuses on the measurements of e-government. E-participation and e-engagement will also be examined throughout the course. Furthermore, 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 and technological infrastructure will also be examined within the course. After the successful completion of the course students will have an in-depth understanding of the e-government practices which are used worldwide as well as impacts on organizational effectiveness, transparency and accountability.
ADVANCED DATABASE MANAGEMENT SYSTEMS
RESEARCH METHODS
This course is designed to be a background pass to graduate studies. The ability to formulate a research question, finding the data relevant to research questions, analyze those data, and presentation of research findings are skills that will be acquired through this course. Scientific thinking skills and methods of research, using library and online archives, experimental design, and presenting quantitative data are modules covered within the scope of this course. Scientific communication, writing research proposals, scientific reporting and thesis writing are also supported. Conference presentations, time management in research projects, ethical issues, plagiarism and skills of working in a group and networking are also highlighted throughout the semester.
EXPERT SYSTEMS
This course is intended to explain the state art of the expert system technology. Based on the main concepts, students will learn the components of expert systems. The students will learn knowledge acquisition and validation. Moreover, they will learn different techniques of knowledge representation and the related programming languages and tools. Students will learn also the inference processes, explanation and reasoning under uncertainty. The course examines the importance of expert systems as management information systems and its role in management. After the successful completion of the course students will be able to discuss and use the expert system in different aspects of the organization and evaluate its impact on the organizational effectiveness.
HUMAN RESOURCE MANAGEMENT
Managing human capital in the new economy is a challenge all business professionals face. This course addresses that challenge by retaining its unique orientation to overall practicality and real-world application incorporating technology, teams and virtual learning methods. Practical tips and suggestions provide effective ways of dealing with problems in communication, leadership, discipline, performance appraisal, labor relations, and compensation administration.
BIG DATA MANAGEMENT AND ANALYSIS
This course provides a comprehensive definition of “Big Data” and the machine learning approaches for managing and processing them. With storage and computational power getting significantly cheaper and faster, big data sets are increasingly available and the need for machine learning approaches for handling big data becomes more significant. In this course, big data harvesting and manipulating methods, supervised and unsupervised machine learning techniques (especially artificial neural network), text data analysis and cloud computing are covered. By completion of this course, students will gain the ability to harvest big data from the web and process them by using supervised and unsupervised neural networks.
PERFORMANCE EVALUATION OF COMPUTER NETWORKS
IT IN HUMAN RESOURCE MANAGEMENT
TOTAL QUALITY MANAGEMENT
Total Quality Management (TQM) is a comprehensive and fundamental quality policy that aims continuous improvement. This course focuses on total quality concepts and total quality approach for decision making. In addition to presenting various Total Quality Management concepts and quality improvement tools, importance of customer focus, team formation and problem solving are also underlined. The key actions that highlights importance of quality through planning, design and control are discussed. Up-to-date quality standards and award models are discussed and criticized using real life cases. Aim of the course is to give total quality concept to the students. Also the course explains total quality management decision methods.
ADVANCED TOPICS IN SOFTWARE ENGINEERING
DATA SCIENCE CONCEPTS AND PRACTICES
The concepts of data science will be covered throughout the course from a variety of angles, including conceptual formulation and properties, solution algorithms and their applications, data visualization for exploratory data analysis, and the appropriate presentation of modeling outcomes. With the use of real-world examples, students will understand the purpose, effectiveness, and constraints of models. Upon completion of the course, students will be able to comprehend the contemporary data science landscape and technical terminology, identify key concepts and tools in the field of data science and determine when they can be applied effectively. Students will also be able to recognize the significance of curating, organizing, and wrangling data, explain uncertainty, causality, and data quality and anticipate the effects of data use and misconduct.
MARKETING STRATEGIES
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.
PERFORMANCE EVALUATION OF COMPUTER NETWORKS
OPERATION MANAGEMENT
The intent of this course is to further provide management and analytical concepts/tools for the management of operations and the decision-making process within the scope of the supply chain. Competitive advantage driven by supply chain strategy has been a common practice in the business environment in the past few years. Most of the strategies involve improving operational efficiency either through cost reductions or increase capital efficiency. Decision-making regarding operational issues is one of the most common tasks within organizations. This course will enhance students' ability to perform the quantitative analysis necessary and understand the management issues in order to make good operational decisions within the supply chain. Coverage is topical and will include supply chains issue and strategy, operations management framework, the Six Sigma approach, quality management, demand and supply planning, inventory deployment/control, and transportation networks optimization.
ADVANCED TOPICS IN SOFTWARE ENGINEERING
The main topics discussed in this course are development methodologies and design patterns. Software life cycle phases like requirements, design, implementation, testing and deployment will be discussed with methodologies like Waterfall, prototyping and Extreme Programming. Also design patterns like creational, structural and behavioral patterns will be evaluated.
ORGANIZATIONAL COMMUNICATIONS
ORGANIZATIONAL COMMUNICATION
This course is designed to examine the internal and external communication systems of business organizations. It is also examined that the uses of communication media such as internet and intranet in organizations.
MANAGEMENT OF TECHNOLOGY IN ORGANIZATIONS
Technology and technology management concepts, technology management, definitions, and needs, globalization and technology management, technology life cycle; critical factors in managing technology; business and technology strategy, technological innovation management, competitiveness; technology planning and technology transfer; technology acquisition and use; technological innovation process, global competitiveness and technology management, technology management and tools of change, activities and tools in technology management, planning and technology management, operational efficiency and applications to improve productivity, contemporary approaches in technology management, developments in the world in technology management, information management in enterprises, cybernetics, comparative view to technology management in different countries, change strategies and technology, technology usage and management in marketing methods, AR-GE, innovation and design activities.
MESSAGE DESIGN AND MEDIA MANAGEMENT
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.
PRODUCTION PLANNING AND SCHEDULING
The course aims to analysis of some specific problem areas within the context of planning and scheduling of production activities. Also the course give the information related definition, formulation and available solution procedures for aggregate planning and lot sizing. It includes scheduling in manufacturing systems, scheduling in service systems, design and operation of scheduling systems. Students in this course will learn fundamental problem areas of production planning and control and, the relation between planning and control activities. At the end of this course student will be able to define of Production Planning and Control Concepts, decide forecasting and evaluate the forecasting methods, decide lot size of a single item with deterministic and constant demand, compute total cost of an inventory policy and solve lot sizing problems under resource constraint with multiple items.
PROJECT SCHEDULING
The project schedule is the tool that communicates what work needs to be performed, which resources of the organization will perform the work and the timeframes in which that work needs to be performed. The project schedule should reflect all of the work associated with delivering the project on time. The aim of this course is to give the principles of project management, representation of project operations such as project breakdown, network representation and terminology, network data. The course content includes network planning with respect to costs and durations: critical path analysis, linear time cost trade-off analysis, resource-constrained network planning, resource scheduling and resource leveling.
NEW COMMUNICATION TECHNOLOGIES
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?
OPERATIONS RESEARCH TECHNIQUES
Introduce students to developed techniques, methodologies and models used in Operations Research (OR). Operations Research (or Management Science) is a field of Applied Mathematics that uses mathematical methods and computers to make rational decisions in solving a variety of optimization problems. Most OR techniques require the use of computer software to solve large, complex problems in industry, business, science and technology, management, decision support and other areas and disciplines. In this course Deterministic Problems are considered – the data and future outcomes are known with certainty. Optimization of the solution is the primary goal. Matlab and Excel are used for representing and solving the problems.
ADVANCED TOPICS IN SOFTWARE ENGINEERING
The main topics discussed in this course are development methodologies and design patterns. Software life cycle phases like requirements, design, implementation, testing and deployment will be discussed with methodologies like Waterfall, prototyping and Extreme Programming. Also design patterns like creational, structural and behavioral patterns will be evaluated.
ALGORITHMS AND PROGRAMMING
INTRODUCTION TO PROGRAMMING
ORGANIZATION BEHAVIOUR
The aim of the course is to provide students with a basic concepts related to organizational behavior and show them how individual and group behavior is important for the management of an organization.
DATA ANALYSIS & COMPUTER APPLICATIONS IN MANAGEMENT
STRATEGIC MANAGEMENT
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).
DATA ANALYSIS & COMPUTER APPLICATIONS IN MANAGEMENT
PROGRAMMING LANGUAGES
Brief historical perspective. Understanding and using Integrated Development Environment (IDE). Java basics, introduction to graphical user interfaces (GUI) for Java, using Swing Components and Java Listeners, Swing dialogue boxes, developing GUI applications, theory of Object Oriented Programming with Unified Modeling Language (UML). Object-Oriented (OO) problem solving, Object-Oriented (OO) concepts (inheritance, composition, abstract classes etc.), object relations, developing Object-Oriented (OO) applications with design patterns, Unit Testing, Project Presentations.
COMPUTER AIDED DATA ANALYSIS
Following a general introduction, the qualitative and quantitative data, their systems of collection and analysis are given to the students. Regression and correlation analysis concepts. Case studies and solutions by using relevant software such as SPSS. Quality control concepts with respect to data analysis. Students will be able to manage qualitative data in an efficient and accessible manner, develop a qualitative data analysis plan, choose and apply different inductive and deductive approaches to coding appropriate to the data type and the context in which results will be used, employ and write analytical memos to aid in interpretation of qualitative data, understand the basic functions of computer-aided qualitative data analysis software, present qualitative findings in different settings using formats appropriate for different audiences.
ORGANIZATION AND MANAGEMENT
This course is structured to inform the MBA students about contemporary applications of management. With this basic approach the topics include knowledge society and organizations, information technologies, globalization and organizations, TQM, core competence, outsourcing, hybrid, organizations, downsizing, sub – contracting, lean organizations and cluster organizations. This course examines organizational theory, practice and learning in the context of rapidly changing competitive and economic environments. Strategies and tactics for growth and performance improvement are explored. This course covers issues of current relevance, including social networks, knowledge management, innovation, organizational learning and design thinking.
COMPUTER NETWORKS AND COMMUNICATIONS
COMMUNICATION SYSTEMS
This course aims to explain and analyze the components and functions of communication systems in different societies. Starting with the authoritarian theories, the course progresses to the social responsibility theory of communication ın order to examine how theories emerge and spread within political systems.
MANAGEMENT INFORMATION SYSTEMS
INDUSTRIAL, ORGANIZATIONAL AND WORK BEHAVIOR MANAGEMENT
The application of principles, theory and research of industrial organization, work behavior management and behavioral science knowledge in the context of work setting is explored in this course. The main goal of the course is to outline how businesses and their organizations can be designed so that both employees’ efficiency and quality of life are improved. The covered topics comprise job analysis, training and development, personnel decisions, organizational change, leadership, motivation, teamwork, occupational stress and well-being, personnel assessment, history and evolution of the field, as well as other related subjects on employer-worker relationship. The course also includes developing students understanding of the questions raised and answered by scholars in the field and the methods used to answer those questions in paper writing.
SYSTEMS PROGRAMMING AND APPLICATIONS
Design and develop applications by using the benefits of operating system and computer architecture. Threads and concurrent programming, TCP/UDP, RPC/IPC, System calls, remote procedure calls (RPC) and web services, xml and xml parsing, socket communication, logging.
COMPUTER VISION
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.
DEVELOPMENT OF SUSTAINABLE TOURISM POLICIES AND PLANNING
This course informs students about the basic concepts and practices related to sustainable tourism policies and planning. Tourism requires effective planning for the development of sustainable and non-harmful, beneficial to the environment and economic development. This course will address the issues related to tourism planning today, process and future tourism planning. The course also aims to highlight the importance of local governments' decisions and practices in ensuring the sustainable development of tourism, and to develop new recommendations for decision makers in this regard. The aim of this lesson is to learn about planning studies in tourism and what needs to be done for the development of tourism during the adaptation of tourism concept of sustainability aiming to provide resources for future generations by protecting resources.
COST ACCOUNTING FOR BUSINESS MANAGERS
INFORMATION SYSTEMS ANALYSIS AND DESIGN
INFORMATION SECURITY AND ASSURANCE
NUMERICAL MATHEMATICS FOR DATA SCIENCE
This course provides an understanding of numerical mathematic applications in data science. The floating-point representation of real numbers, truncation and round off errors, iterative approaches, and convergence are some of the main points in numerical mathematics that are covered in this course. Students will study the most basic and crucial algorithms for the fundamental numerical mathematics problems, such as the solution of algebraic equations, numerical estimation of derivatives and integrals, solution of differential equations, approximation of functions by polynomials and Fourier series and solution of systems of linear algebraic equations. Upon completion of this course, students will be able to formulate and solve problems using mathematical methods and tools, identify, understand, and solve algebraic equations and develop experience with numerical and symbolic mathematical software.
LEADING, TRANSFORMATION AND CHANGE
IS STRATEGY, MANAGEMENT AND ACQUISITION
DATA SCIENCE AND MANAGING BIG DATA
ALGORITHMS FOR DATA SCIENCE
This course covers the algorithmic techniques and approaches required to handle various types of structured, semi-structured and unstructured data. The goal of the course is to teach algorithmic methods that serve as the cornerstones for handling and analyzing large datasets in a variety of formats. The course specifically covers how to pre-process big datasets, store big datasets effectively, design quick algorithms for big datasets, and evaluate the performance of designed algorithms. Algorithms for sorting, searching and matching as well as graph and streaming algorithms will be introduced. Upon completion of this course, students will have a broad knowledge of different algorithms for pre-processing, organizing, manipulating and storing different data types. Students will also be able to carry out performance analysis of each algorithm.
ORGANIZATION AND MANAGEMENT
INTERNATIONAL ORGANIZATIONS AND GLOBALIZATION
This course examines the role of international organizations in an age of globalization. It also studies the role of state and non-state actors within the context of global governance. The course attempts to analyze the changing dynamics of the international system and the emergence of new actors via discussing current regional and international political, economic, socio-cultural and humanitarian issues pertaining contemporary world affairs. The changing dynamics of globalization, the inequalities created in the world scale and the effect of recent migration trends to international organizations will be covered during the course.
OPERATING SYSTEM AND NETWORK SECURITY
This course gives essential information for operating system and computer network security basics, risk analysis, security policies, concept of trusted computers and networks. Conventional and public key cryptography. Authentication and digital signatures. Authentication protocols and applications, certification, LINUX security issues. Data link layer, network layer and application level security. Firewalls and security tools. Secure payment systems. Case studies and programming projects.
NEGOTIATION TECHNIQUES AND CONFLICT MANAGEMENT SKILLS
INVESTMENTS MANAGEMENT
Develops an understanding of the models and concepts of profitable investing, relying on theoretical development and consideration of observed pricing, market, and participant behavior. Examines the markets through which investment funds are channeled and the motivations of the investing and borrowing communities.On successful completion of this course, all students will have developed knowledge and understanding on: how securities are Traded, Mutual funds and other investment companies, Global Financial Instruments, Efficient Diversification, The efficient market hypothesis, Intentional investing, Taxes. Inflation, and investment Strategies, Investors and the investment process, Behavioral Finance and Technical analysis. Examines the markets through which investment funds are channeled and the motivations of the investing and borrowing communities.
OBJECT ORIENTED PROGRAMMING
DISTANCE EDUCATION
Introduction to distance education, definition and objectives of distance education, teaching environments used by distance education; technologies used in distance education; techniques and methods used in the planning, preparation and implementation of distance education technologies, Basic concepts related to Internet; Internet ethics (netiquette); learning objects; international standards for metadata of learning objects, historical development of distance education in the world and in Turkey, distance education and learning theories, distance education information technologies, distance education application models, teacher roles in distance education, student roles in distance education, distance education and training design, distance education method, distance education measurement and evaluation, evaluation of distance education projects, guidance in distance education, ethics in distance education.
