MAN 602 Marketing Theory and Applications (3 0 3) ECTS: 7.5
This course examines the historical development of the marketing concept and the evolution of marketing theories, highlighting the strategic role of marketing in contemporary businesses. It focuses on the design of the marketing decision-making process, innovation and change management, and the management of customer and supplier relationships centered on value creation. Topics also include distribution channels, personal selling, advertising, and pricing strategies. Within the framework of integrated marketing, the development and implementation of various marketing models are discussed.
MAN 603 Organization Theory (3 0 3) ECTS: 7.5
Organizations today operate in a global environment characterized by uncertainty, change, crises, shifting customer demands, and pressures related to business ethics and social responsibility. Organization Theory explores how organizations can structure and design themselves to compete successfully and sustain their existence in such complex contexts. Major topics include identifying organizational goals, developing structures aligned with these goals, designing systems suited to national and international environments, manufacturing, service, and information technologies, aligning organizational strategies and structures, managing internal and external environmental relationships, organizational life cycles, innovation and change processes, decision-making, power, conflict, and the management of political behavior within organizations.
MAN 604 Finance Theory (3 0 3) ECTS: 7.5
This course provides an advanced examination of fundamental theories of securities investment, capital structure, and dividend policy. It covers utility theory, mean–variance portfolio theory, single and multi-index models, the Capital Asset Pricing Model (CAPM), Arbitrage Pricing Theory (APT), the Fama–French three-factor model, and the Efficient Market Hypothesis (EMH). Behavioral finance approaches are also discussed, alongside an in-depth evaluation of capital structure and dividend theories. The course aims to enable students to analyze financial decision-making processes within both traditional and modern frameworks.
MAN 605 Strategic Management (3 0 3) ECTS: 7.5
Strategic management is an interdisciplinary field that integrates concepts from the social sciences—particularly economics, sociology, and psychology—with business administration. Accordingly, this course covers the principal theoretical approaches and corporate strategies within strategic management research. It also explores the historical development of the field and evaluates studies on organizational strategy and related research traditions.
MAN 607 Financial Econometrics I (3 0 3) ECTS: 7.5
This is the first course in a two-part Financial Econometrics series that addresses econometric techniques essential for empirical applications in finance, both theoretically and practically. It introduces the fundamental principles of classical econometric theory and provides a detailed analysis of univariate time series models (ARIMA). The course also focuses on stationarity and unit root tests as well as cointegration analysis, equipping students with the basic econometric tools necessary for working with financial data.
MAN 608 Theory of Investor Behavior (3 0 3) ECTS: 7.5
This course covers key topics in behavioral finance, including the limits of arbitrage, investor irrationality and its underlying causes, and investor sentiment. It explores the psychological foundations of investor behavior and discusses the theories and empirical studies developed within this framework. The goal is to help students evaluate financial decision-making processes from a behavioral perspective that goes beyond traditional approaches.
MAN 609 Portfolio Theory (3 0 3) ECTS: 7.5
The purpose of this course is to introduce students to portfolio management and familiarize them with portfolio management strategies. Topics include the use of fundamental and technical analysis in constructing portfolios, detailed examination of risk and return calculations, minimum variance portfolio construction, optimization using Lagrange and Kuhn–Tucker methods, portfolio performance measures, efficient and fractal market hypotheses, and regression analysis.
MAN 610 Financial Derivatives (3 0 3) ECTS: 7.5
This course covers the pricing methods of complex financial derivative instruments and the strategies that can be developed through these instruments. The course content includes advanced financial derivatives such as forward and futures markets, arbitrage and hedging strategies, options on futures, swaps, credit default swaps (CDS), and collateralized debt obligations (CDO). The aim is to enable students to understand the functioning of derivatives in financial markets and to develop competencies in risk management and investment strategies.
MAN 611 Risk Management and Actuarial Theory (3 0 3) ECTS: 7.5
This course covers the fundamental theories and applications related to risk management and actuarial planning. It focuses on insurance systems, actuarial planning methods, asset and liability management, and the mathematical and statistical models used in these areas. The course aims to equip students with the ability to combine theoretical knowledge and practical skills in measuring, analyzing, and managing financial risks.
MAN 612 Accounting Theory (3 0 3) ECTS: 7.5
This course examines the historical development of accounting, the formation of accounting standards in the U.S. and other countries, the evolution of accounting theories, and topics such as ethics and governance in accounting. The course primarily involves the analysis and discussion of scientific studies on accounting theories.
MAN 614 Advanced Financial Statement Analysis (3 0 3) ECTS: 7.5
This course focuses on the presentation of financial statements prepared in accordance with International Financial Reporting Standards (IFRS) and on the components of these statements. The importance of these components in financial statement analysis is examined, and both univariate and multivariate analysis methods are discussed. The course also reviews current literature related to financial statement analysis.
MAN 615 Human Resource Management (3 0 3) ECTS: 7.5
The main theme of this course is to provide students with a broad perspective on human resource management. The success of 21st-century companies is largely attributed to their managers’ and leaders’ ability to manage, motivate, and guide human resources effectively toward organizational goals. The course includes real-world case studies and applications to help students understand and follow contemporary issues in human resource management.
MAN 617 Organizational Behavior (3 0 3) ECTS: 7.5
This course explores the development and origins of micro organizational theories, including psychological foundations, behavioral approaches, cognitive psychology, and social psychology. The content is organized into three main levels:
Individual level: self-concept, self-categorization, attribution theory, and impression management.
Group level: social exchange theory, social identity theory, symbolic interaction theory, trust, and leadership.
Organizational level: organizational culture, structure, and design.
MAN 619 Business Ethics and Social Responsibility (3 0 3) ECTS: 7.5
This course addresses the concepts of ethics and social responsibility in business from both theoretical and practical perspectives. Topics include the definition and scope of ethics, the relationship between ethics and morality, and fundamental ethical concepts such as belief, value, norm, culture, egoism, utilitarianism, hedonism, rights, law, and justice. The course also examines major ethical theories—teleological, deontological, virtue ethics—and the concept of social responsibility, discussing their implications for business practices. The objective is to develop students’ ability to critically evaluate ethical decision-making processes and social responsibility practices in the business world.
MAN 622 Consumer Behavior (3 0 3) ECTS: 7.5
This course provides a comprehensive examination of the factors influencing the formation and change of consumer behavior. Topics include the effects of culture on consumer behavior, consumption motivations of emerging consumer profiles, the consumer decision-making process, and purchasing behavior matrices. Additionally, concepts such as motivation, perception, and learning are discussed in detail. The course aims to enhance students’ ability to analyze consumer behavior from both individual and cultural perspectives.
MAN 623 Retailing (3 0 3) ECTS: 7.5
This course comprehensively addresses the management of retailing and its role within distribution channels. It examines the similarities and differences between retailers and other channel members and defines retailing in terms of sales revenue, product lines, ownership types, and management methods. The aim is to help students understand the functioning and strategic significance of retailing while developing their ability to analyze sectoral practices.
MAN 624 Inventory Management (3 0 3) ECTS: 7.5
This course covers fundamental models and applications in inventory management. Topics include the EOQ model, POQ model, multi-POQ model, and quantity discount planning. Heuristic methods for dynamic demand, the Wagner-Whitin (WW) model, and mathematical programming (MP) formulations are also discussed. Under demand uncertainty, continuous and discrete newsvendor problems, inventory policies, the (s,Q) model and its solution, (s,S) and (R,S) policies, and multi-echelon inventory systems are examined. Current academic articles are also reviewed as part of the course.
MAN 626 Operations Research – Selected Topics (3 0 3) ECTS: 7.5
This course focuses on advanced topics in operations research. Various mathematical modeling and solution techniques are reviewed, aiming to develop students’ ability to select and apply appropriate methods for different types of problems. Current academic articles related to topics of student interest are examined to integrate theoretical knowledge with application and research dimensions.
MAN 627 Supply Chain Modeling (3 0 3) ECTS: 7.5
This course explores key topics in supply chain management and design through quantitative models. Mathematical programming and decision-making models are introduced for inventory management, supply chain network design, reverse logistics, and supply chain management under uncertainty. Current academic studies related to these topics are also discussed to help students connect theoretical understanding with ongoing research.
MAN 628 Production Management – Selected Topics (3 0 3) ECTS: 7.5
This course provides a comprehensive overview of the major areas in production and operations management. Topics include productivity and efficiency, capacity planning, aggregate planning, demand forecasting techniques, inventory management, MRP and JIT systems, location and layout planning, project management, scheduling, queuing management, and revenue/yield management. After a general review of these topics, students select three specific areas of interest for in-depth analysis based on related academic articles.
MAN 629 Decision Theory (3 0 3) ECTS: 7.5
This course examines decision-making processes from multiple perspectives. Key topics include decision-making environments, decision-making under uncertainty, structuring decision problems, the use of decision trees, sensitivity analysis, the value of information, and probabilistic decision models. The course aims to develop students’ ability to make rational and systematic decisions under conditions of uncertainty.
This course examines current studies in the finance literature from both theoretical and empirical perspectives. It is entirely based on the analysis and discussion of selected academic articles. The aim is to enable students to follow current developments in the field of finance, improve their literature review skills, and enhance their research competencies.
This course first explains the research process, followed by a detailed examination of each stage through applications and examples. The content covers defining the measurement levels of variables, data collection methods, and sampling techniques, as well as exploring the methods used in data analysis.
This course focuses on multivariate methods used in data analysis. Topics include multivariate probability distributions, covariance analysis, discriminant analysis, multiple regression, canonical correlation, principal component analysis, factor analysis, cluster analysis, and logit and probit models. The aim is to develop students’ ability to select, apply, and interpret appropriate multivariate analysis techniques for research problems in social sciences and business fields.
This is the second course in a two-part series on financial econometrics that covers the econometric techniques required for the empirical application of finance theory, both theoretically and practically. The course covers volatility models, panel data models, simulation methods, the Tobit model, dimensionality reduction techniques, and the Kalman filter.
This course focuses on empirical applications in finance conducted in the literature up to the present day. It examines empirical studies related to asset pricing models, volatility modeling, the efficient market hypothesis, behavioral finance, and capital structure theories. The course involves the review and discussion of published works that include empirical applications in these areas.
This course covers mathematical programming techniques used to solve decision-making and optimization problems. The content includes linear programming models, the Simplex algorithm, sensitivity analysis, and duality theorems in detail. It also addresses network models and the Network Simplex algorithm, integer programming methods, and branch-and-bound and cutting plane techniques. Nonlinear programming, dynamic programming, and stochastic programming approaches are also covered, aiming to equip students with the ability to model and analyze decision problems with diverse structures.
This course covers the real-world applications of mathematical models that support optimal decision-making and the solution methods related to these models. Its aim is to enable students to mathematically formulate different decision-making problems, solve them using various optimization techniques, and interpret the results. Thus, students gain the ability to apply both theoretical and practical optimization methods to business and engineering problems.
Topics covered in this course include: the data-analytics approach; business problems and data science solutions; R programming; supervised and unsupervised data mining; entropy and information gain; feature selection; decision tree construction; logistic regression; support vector machines; overfitting and prevention; cross-validation; k-nearest neighbor method; hierarchical clustering; k-means clustering; confusion matrix; visualization of model performance; evidence and probability; text mining; N-gram sequences; principal component analysis; and data-based causal reasoning.
This course covers stochastic modeling approaches used for decision-making and system analysis under uncertainty. Topics include fundamental concepts of stochastic modeling, probability theory and related frameworks, random variables, multiple random variables, and functions of random variables. It also explores s- and z-transform methods, Poisson and Wiener processes, renewal processes, Markov processes, and Markov decision processes. The course further addresses stochastic programming approaches and the optimal LQG control model, with theoretical knowledge reinforced through analysis and discussion of current academic papers.
This course presents the main discussion topics, concepts, and approaches concerning human beings and society that are subjects of scientific inquiry, thereby outlining the general framework of social science thought. It examines how epistemological, ontological, methodological, and human-assumption distinctions on both subjective and objective levels are reflected in research within the social sciences. The main topics include the history of social sciences, utilitarianism, the development of sociological theories, positivism, empiricism, realism, and structuralism.
This course evaluates contemporary theoretical, conceptual, and practical approaches applied in organizations. These approaches relate both to organizations as a whole and to employees, thus encompassing various areas of study and analysis.
This course explores institutional change, the macro-institutional approach, the national business systems approach, and the formation and transformation of the organizational context in Turkey. It also examines holdings and business groups, which are common organizational forms in the Turkish business system, as well as the social structure and inter-organizational relationships in Turkey.
The course covers theoretical approaches to knowledge in business organizations, focusing on the use and management of knowledge. It particularly examines knowledge management processes in detail, such as knowledge acquisition, storage, and dissemination. Additionally, the dimensions of organizational change and organizational memory are addressed in conjunction with the concept of learning organizations.
International management is crucial for managers seeking to achieve goals and objectives across national borders, as it involves understanding and communicating across cultural differences. Learning the laws and business practices of these countries is vital for the success of managers and their organizations. This course focuses on how cultures are learned and how culture influences business establishment, planning, recruitment, and international coordination within this framework.
This course aims to present the main issues and challenges of international marketing, highlighting how they differ from domestic marketing, and includes an in-depth review of the relevant literature. It provides a strategic perspective by integrating cultural, socio-economic, political, and legal differences concerning institutions, organizations, and individuals in international markets with marketing variables. The course also covers globalization, regionalization, standardization and adaptation strategies, cross-cultural interactions, international marketing communication, distribution and pricing policies, product development strategies, and international market segmentation strategies.
Marketing communication is a comprehensive planning concept that evaluates the strategic roles of various communication methods—such as advertising, public relations, sales promotion, and direct marketing—based on an integrated plan, aligning these methods to create consistent and effective communication. Marketing communication not only includes promotional activities but also encompasses the product itself, its brand, packaging, price, and distribution.
This course aims to define the elements of marketing communication in detail through examples, integrate all its components, and examine why this integration is critical for a company’s success. It explores how advertising, public relations, promotion, sponsorship, direct marketing, e-communication, and sales strategies collectively contribute to brand value through research and case studies.
This course focuses on the in-depth examination and analysis of new and advanced topics recently introduced in the field of marketing. The specific topics vary by semester, reflecting current trends and issues of interest. These topics are analyzed through academic studies and published articles, and are discussed from the perspectives of businesses, consumers, and brands, with a strategic focus.
This course covers the key variables and structure of the sales force, which represents a crucial element of marketing efforts. Topics include sales processes, the relationship between marketing and sales concepts, tools and innovations that enhance sales force effectiveness, customer relationship management, recruitment and management of the sales force, and the main functions of sales management.
This course primarily emphasizes the importance of marketing research for businesses and its role in strategic marketing decisions. The main objective is to equip students with in-depth knowledge of identifying marketing problems, determining the purpose of marketing research, conducting a critical literature review, and developing hypotheses. Additional topics include defining the population and sample, identifying data sources and data collection methods, measurement and scaling, single, bivariate, and multivariate analysis techniques (including data analysis using SPSS software), relationship and comparison analyses, research supervision, and the presentation and reporting of research results.
This course focuses on examining the concept and dimensions of branding in detail and discussing brand positioning, brand identity, brand identity creation, and brand-building strategies. In addition, topics such as financial and emotional brand value measurement, the brand pyramid and its stages, and the concept of brand associations are also covered.