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MGEC 501 Managerial Economics
Fundamental concepts and analytical tools of microeconomic theory: demand, supply, and equilibrium; market structure analysis with brief introduction to game theory; risk and uncertainty; comparative advantage and gains from trade; market distortions and their welfare consequences. Introduction into micro foundations of macroeconomics, open economy equilibrium, exchange rate and income determination; policy analysis in an open economy with frequent references to real life phenomenon and their analysis through the tool kit acquired.

ECON 503 Microeconomics I
Consumer theory; production theory; general equilibrium and welfare.

ECON 504 Microeconomics II
Consumer theory; production theory; general equilibrium and welfare.

QMBU 661 Multivariate Statistics and Data Analysis
Basic concepts underlying the most important multivariate techniques, overview of actual applications in marketing, operations, finance, and accounting. Underlying mathematics and problems of applications. Sample Geometry and Random Sampling, The Multivariate Normal Distribution, Regression, Analysis of Variance, Multinomial Logit Choice Model, Principal Components Analysis and Factor Analysis, Structural Equations Models, Cluster Analysis

ECON 500 Mathematical and Statistical Foundations
Mathematical foundation that all students should have before starting the MA courses reviewed in a three-week long intensive Math Camp. Meets every other day (three times per week) during the first three weeks of the four-week period that preceeds the fall term. Two 75 min. classes per day. Three classes for evaluation (written exams).

ECON 511 Econometrics I
Review of probability and statistics: random variables, univariate and joint probability distributions, expectations; bivariate normal; sampling distributions; introduction to asymptotic theory; estimation; inference. Linear regression: conditional expectation function; multiple regression; classical regression model, inference and applications.

ECON 512 Econometrics II
Departures from the standard assumptions: specification tests; a first look at time series; generalized regression; nonlinear regression; simultaneous equations, identification, instrumental variables. Extensions and applications ML, GMM, VAR, GARCH, panel data.

INDR 501 Optimization Models and Algorithms
Convex analysis, optimality conditions, linear programming model formulation, simplex method, duality, dual simplex method, sensitivity analysis; assignment, transportation, and transshipment problems.

INDR 503 Stochastic Models and Their Applications
Basic theory of the Poisson process, renewal processes, Markov chains in discrete and continuous time, as well as Brownian motion and random walks are developed. Applications of these stochastic processes are emphasized by examples, which are drawn from inventory and queuing theory, reliability and replacement theory, finance, population dynamics and other biological models.

PSYC 504 Testing and measurement
Review of basics of psychological measurement; all steps of the process of assessment development; different methods of psychological assessment such as observational, self-administered, and interview techniques; and, ways of integrating information from multiple assessment methods. Greater cultural, ethical, and societal context of psychological measurement.

QMBU 501 Introduction to Management Science
Fundamental quantitative methods used in business decision-making: mathematical programming, stochastic modeling, and simulation, with emphasis on formulation, analysis, and implementation.

MGMT 655 Multivariate Data Analysis Techniques
Multivariate data analysis techniques in management science such as MANOVA, MANCOVA, MLR, and MLOGR. Related analytical issues such as power analyses, effect sizes, data visualization, complex interactions, and mediation.

MGMT 661 Research Methods in Business
Introduction to the fundamental methodological issues that arise in experimental and quasi-experimental research. The development of research ideas; data collection and reliable measurement procedures; threats to validity; control procedures and experimental designs; and data analysis. Use of regression methods for non-experimental and quasi-experimental data and analysis of variance methods for experimental data.

PSYC 501 Research Methods I
Review of descriptive statistics and basic research methodology. Experimental methods and research design including one-way analyses, factorial designs, repeated measures, analysis of covariance, and the analyses of main effects, simple effects and interaction comparisons.

PSYC 502 Research Methods II
Further advanced research methods building on the content of PSYC 501. Problems in multivariate regression analysis, multivariate analysis of nominal and ordinal data, structural equation models, and methods for analyzing longitudinal data. How to choose appropriate methodology for a variety of research problems.

INTL 501 Research Methods
Introduction to the fundamental research methods in social science, covering issues and methods shared by all of the social sciences and by many of the natural sciences. Emphasis on contemporary work in the fields of international relations and political science, on quantitative and qualitative methods and the steps in identifying a problem worthy of study and developing testable hypotheses, designing a research strategy, gathering data, analyzing data, and interpreting the results.

LIB 500 Library Researcher Development Course for Graduate Students
The course, which consists of 4 modules, has been created to support the development of graduate students and to assist them during their research processes. Students participating in the course will be familiar with; overall library services, tips for literature review, reference and citation management, open science methods that you can benefit in your academic practice and research, scholarly publishing and academic ethics, researcher profiles and research impact measurement.

TEAC 500 Teaching Experience
Hands-on teaching experience to graduate students in undergraduate courses. Reinforces understanding of basic concepts and allows to communicate and apply knowledge of the subject matter.

ENGL 500 Scientific Paper Writing and Publishing
Writing a scientific paper for publication requires skills that are different than writing a thesis or dissertation. This course focuses on issues including formulation of the research question, articulation of the theoretical foundation, explanation of the research methodology, description and critical discussion of the findings. The course will also present the key points in selecting the right outlet for publication, submitting the paper, and addressing the reviewers’ comment in the revision.

ETHR 500 Academic Writing
Students are required to complete an online ethics course by their second semester.

MGMT 695 Independent Research
Required to be completed in every semester until graduation.

MGMT 696 Ph.D. Thesis (only for students working towards the thesis)

MGMT 604 Research Seminar in Entrepreneurship
This course introduces theoretical and empirical research on entrepreneurship. Students will get a broad overview of the literature on core topics, learn how to critically review research papers, and develop their own research projects. The course covers the following areas: mobility and careers perspective on entrepreneurship, individual and structural determinants of entry, venture growth, firm survival and mortality, and empirical methods in entrepreneurship research.

QMBU 662 Selected Topics in Decision Sciences
Depending on student interest, focus on one or several of the following topics: data mining, multiattribute utility theory and multi-criteria decision making, dynamic programming, decision theory, service management, behavioral operations.

MKTG 680 Causal Inference
This course provides an overview of econometric techniques for the quantitative analysis of cause and effect in social sciences. Methods covered include experiments, regression, panel methods, difference-in-differences, instrumental variables, regression discontinuity and matching. Each topic will be studied using applications from the recent marketing, economics, management and operations literatures.

MKTG 661 Behavioral Seminar in Marketing I
Focus on consumer behavior. An overview of research in consumer behavior, particularly in the areas of consumer information processing, memory, attitudes, affect, and motivation. Introduce a body of literature and a strong foundation in critical thinking in the behavioral area for students to develop their own research interests.

MKTG 662 Behavioral Seminar in Marketing II
Focus on consumer behavior and marketing strategy. Depending on student interests, focus on one or several of the following topics: marketing strategy, international marketing, and behavioral decision theory.

MKTG 663 Quantitative Seminar in Marketing I (Empirical Focus)
Focus on empirical modeling. State of the art in empirical marketing models. Focus on models of consumer and models of market behavior. Utility theory, discrete choice models, stochastic models, multi-dimensional scaling, and hierarchical decision making. Models examined in the context of how consumers and the market react to marketing stimuli. Readings drawn from leading marketing journals. Introduce a body of literature and expose students to the state-of-the art empirical modeling techniques, for them to develop their empirical modeling skills and to help identify their potential research interest in this area.

MKTG 664 Quantitative Seminar in Marketing II (Analytical Focus)
Focus on mathematical modeling. State of the art in analytical marketing models. Focus on managerial models of advertising allocations, channel design, sales force allocations, sales promotion, pricing, product design, test markets, and competitive positioning. Readings drawn from leading marketing, operation management and economic journals. Key models and substantive issues in analytical modeling. Students to develop their own models and papers on a topic of interest.

MKTG 665 Strategy Seminar In Marketing
This is a doctoral seminar course focusing on behavioral foundations of marketing strategy research. Since marketing strategy is inherently interdisciplinary, the course acquaints students with theories emanating from economics, sociology, psychology, strategy, the organizational sciences, as well as marketing. Students will be introduced to a variety of research designs and techniques for doing marketing strategy research. We will examine research involving experiments, quasi-experiments, surveys, qualitative data, and secondary data. Some of the topics covered include: marketing capabilities and resources, financial returns to marketing strategies, market knowledge and learning, marketing and innovation, marketing networks. The goal is that students finish the course with a deep understanding of the literature as well as how they might contribute to it. Students write a research paper on a topic of interest.

MFIN 661 Seminar in Corporate Finance
First part focuses on recent theoretical developments in corporate finance theory. Relevant concepts in game theory and contract theory and their applications to corporate finance. Techniques developed are used to understand agency conflicts between debt holders and equity holders, the role of managerial reputation and monitoring by financial intermediaries; conflicts of interest between managers and shareholders; capital structure and security design under asymmetric information; interactions between capital structure and product market competition; the market for corporate control, takeovers and acquisitions; bankruptcy and reorganization; IPOs and under-pricing. Second part studies the firm’s choice of its capital structure and dividend policy in settings characterized by moral hazard or asymmetric information, security issuance, investment decisions, corporate control, and corporate governance. Introduction to databases and empirical methods used most frequently in corporate finance research.

MFIN 662 Investments
Focus on two core ideas: 1) time series properties of asset returns (predictability, volatility, correlations with other variables etc) and 2) cross-sectional properties of asset returns implied by equilibrium asset pricing models (including CAPM, consumption-based asset pricing, factor models etc). Topics include the arbitrage pricing theory, intertemporal capital asset pricing model, derivative pricing models, asymmetric information and rational expectations and an introduction to empirical testing.

MFIN 663 Advanced Financial Econometrics
The first part introduces a variety of econometric techniques, including maximum likelihood, generalized method of moments (GMM), panel data regressions, and various time-series models, including ARMA, GARCH, and regime-switching. Application of these econometric methodologies to asset pricing tests, dynamic asset allocation, financial risk management, and derivative pricing. The second part provides the foundations of continuous-time modeling. Continuous-time stochastic processes, Markov/Wiener processes, martingales, Ito’s lemma, stochastic differential equations and changes of measure. The applications of continuous time models include fixed-income pricing models, models of forwards, futures and other derivatives, and portfolio choice problems.

MFIN 664 Empirical Asset Pricing
Focus on (1) anomalies in equity and debt markets; (2) ideas to come up with profitable portfolios with relatively low risk; (3) how to form long-short equity portfolios; (4) extreme losses of equity and fixed income portfolios; (5) arbitrage with equity, debt, and derivative securities; (6) model the term structure of interest rates, yield curves, and interest rate volatility; and (7) link macroeconomic variables and fundamentals with volatility in financial markets.

Electives Course Descriptions

MKTG 520 Marketing Research and Data Analysis
Fundamentals of marketing research. Examination and application of the research process including formulation of the research problem, research design, data collection, sampling, and analyzing data for marketing strategies such as segmentation and positioning.

MKTG 522 Consumer Behavior
Major theories and empirical findings in the literature on consumer behavior; relationship to the design and execution of effective marketing strategy. Individual decision making and consumer learning, and external influences such as culture, social class, reference groups, family, and situational variables.

MKTG 523 Strategic Marketing
Strategic marketing planning frameworks and analytical and decision making processes involved in formulating and implementing marketing strategies. An integrative, dynamic view of marketing strategy with a customer, competitor, company perspective. Strategies for building new brands/markets; extending and defending equity in established brands/markets. Cases used expose students to diverse settings in terms of size of organization, types of markets served, and the nature of the goods marketed. Strategy simulation to create a dynamic competitive learning environment for developing and executing short-term and long-term marketing strategies over multiple decision periods.

MKTG 525 Global Marketing Strategy
Managerial study of opportunities and complexities of conducting marketing operations in the global marketplace. Strategic planning and execution of marketing mix programs with focus on small and medium sized enterprises as well as the experienced multinationals. The nature of marketing frameworks and global distribution; tools that can be employed for developing a sustainable global competitive advantage.

MKTG 535 International Marketing Field Study
Opportunity to learn about marketing management issues in the expanded European Union. Visit international organizations and multinational firms with global operations. Background readings and research, focus on the European Union and the countries and organizations to be visited prior to the field study in Europe. A final written paper is required after the field study is completed.

MKTG 550 Selected Topics in Marketing

Topics will be announced when offered.

PSYC 506 Policy and Practice in Psychology
How social science, in particular psychology, can become relevant to social policy. The accountability of the psychologist to society can go beyond the individual and can inform policy in the service of human well being. Projects regarding applications and policy recommendations in Industrial/Organizational and Developmental psychology.

PSYC 510 Emotion and Motivation
Overview of theories and research in emotion and motivation. Role of emotions and motivations in verbal & nonverbal communication, decision-making & reasoning, social functioning, and psychopathology.

PSYC 513 Organizational Behavior
Behavior in organizations and work groups. Review of recent literature on issues such as leadership, teamwork, organizational communication, motivation, and organizational change and development.

PSYC 517 Special Topics in Industrial and Organizational Psychology
Overview of the developments in the field of Industrial and Organizational (I&O) Psychology. Some of the classical work and the most recent literature reviewed in key areas, such as organizational attitudes, work design, performance management, and individual assessment. Focus on topics that emerge in the last decade. Theoretical and practical contributions of research in I&O psychology.

PSYC 518 Human Resource Management
Most recent developments in science and practice of Human Resource Management (HRM) in key areas, including strategic role of HRM, human resource planning, staffing, performance appraisal and management, compensation and reward management, career management, training and development, and union-management relationships. Emphasis on the issue of fit between HRM practices and socio-cultural, economic, legal, and institutional context. Theoretical discussions, cases and examples of best practices from global and domestic organizations.

PSYC 521 Cognitive Development
Current research and theoretical issues about cognitive development. Theory of mind, joint attention, language, memory, numerical cognition, social cognition, and implications of atypical cognitive development. Interfaces with socioemotional development.

PSYC 524 Social Development
Social aspects of development. Parenting, peer relationships and friendship, attachment, empathy, aggression, emotional development, gender socialization, and adult social development.

PSYC 525 Applied Developmental Psychology
How the science of human development may contribute to address individual, familial, social, political, and economic problems. How human potential can be realized at an individual level and how societal resources can be created, mobilized, and utilized to facilitate the realization of human potential.

PSYC 503 Current Topics in Psychology
Discussion of recent research by faculty and other invited speakers, and cross-fertilization of ideas, research topics as well as methodological approaches are emphasized.

OPSM 501 Operations Management
Fundamental decisions and tradeoffs in control of a firms operations: obtaining and controlling the flow of materials through a production facility and distributing them to customers. Four modules: process fundamentals; cross functional integration, coordination and control; improving the performance of productive systems; and competing through technology and operations.

INDR578/OPSM 503 Advanced Models in Supply Chain Management
Dynamic inventory policies for single-stage inventory systems: concepts of optimality and optimal policies. Multi-Echelon Systems: uncapacitated models and optimal policies, capacitated models: different control mechanisms. Multiple locations and multiple items: inventory and capacity allocation. Decentralized control and the effects of competition on the supply chain: coordination and contracting issues.

OPSM 539 Project Management
Managerial skills and competencies for project management, defining a project, setting goals, defining the scope, planning the activities, managing the resources, organizing for project management, implementing the project, monitoring and controlling, and closing out the project.

OPSM 550 Selected Topics in Operations Management
Topics will be announced when offered.

MGIS 501 Management Information Systems
Technological and institutional factors that influence the choice of hardware and software components of a management information system; introduction to systems analysis through teamwork on an actual business systems analysis problem.

MGIS 541 Database Management Systems
Database concepts for management, planning, and conceptual design, design and administration, classical systems, relational and distributed systems, Internet database environment, implementation of database management systems.

MGIS 542 Decision Support Systems and Expert Systems
Decision support systems and expert systems for informed consumers and decision makers; including use of the available technology.

MGIS 550 Selected Topics in Management Information Systems
Topics will be announced when offered.

INDR 505 Manufacturing Systems
Basic concepts and techniques in hierarchical design, planning, and control of manufacturing systems. Flow line and assembly systems, group technology and cellular manufacturing, just-in-time, flexible manufacturing systems.

INDR 508 Discrete Event Simulation
Topics on distribution fitting and generating random numbers and random variates. Statistical analysis of simulation output including some well-known analysis methods and variance reduction techniques. Recent developments in the area.

INDR 520 Network Models and Optimization
Network flow models and optimization problems. Algorithms and applications. Minimum spanning tree problem. Shortest path problems. Maximum flow problems, minimum cuts in undirected graphs and cut-trees. The minimum cost network flow problem. Matching problems. Generalized flows. Multicommodity flows and solution by Lagrangean relaxation, column generation and Dantzig-Wolfe decomposition. Network design problems including the Steiner tree problem and the multicommodity capacitated network design problem; their formulations, branch-and-cut approaches and approximation algorithms.

INDR 530 Decision Analysis
Tools, techniques, and skills needed to analyze decision-making problems characterized by uncertainty, risk, and conflicting objectives. Methods for structuring and modeling decision problems and applications to problems in a variety of managerial decision-making contexts. Structuring decision problems: Decision trees, model building, solution methods and sensitivity analysis; Bayes’ rule, the value of information and using decision analysis software. Uncertainty and its measurement: Probability assessment. Utility Theory: Risk attitudes, single- and multiattribute utility theory, and risk management. Decision making with multiple objectives.

INDR 551 Advanced Optimization Methods
Combinatorial optimization, structure of integer programs, pure integer and mixed integer programming problems, branch and bound methods, cutting plane and polyhedral approach, convexity, local and global optima, Newton-type, and conjugate gradient methods for unconstrained optimization, Karush-Kuhn-Tucker conditions for optimality, algorithms for constrained nonlinear programming problems, applications in combinatorial and nonlinear optimization.

INDR 553 Advanced Stochastic Processes
Brief review of basic processes like Poisson, Markov and renewal processes; Markov renewal processes and theory, regenerative and semi-regenerative processes; random walk, Wiener process and Brownian motion; martingales; stochastic differential equations and integrals; applications in queueing, inventory, reliability and financial systems.

INDR 566 Scheduling
Introduction to scheduling: examples of scheduling problems, role of scheduling, terminology, concepts, classifications; solution methods: enumerative methods, heuristic and approximation algorithms; single machine completion time, lateness and tardiness models; single machine sequence dependent setup models; parallel machine models; flow-shop models; flexible flow-shop models; job-shop models; shifting bottleneck heuristic; open-shop models; models in computer systems; survey of other scheduling problems; advanced concepts.

INDR 560 Large Scale Optimization
Methods for the solution of complex real world problems modeled as large-scale linear, nonlinear and stochastic programming, network optimization and discrete optimization problems. Solution methods include Decomposition Methods: Benders’s, Dantzig-Wolfe, Lagrangian Methods; Meta-heuristics: Local search, simulated annealing, tabu search, genetic algorithms; Constraint Programming. Applications in transportation and logistics planning, pattern classification and image processing, data mining, design of structures, scheduling in large systems, supply-chain management, financial engineering, and telecommunications systems planning.

INDR 564 Dynamic Programming
Theory and practice of dynamic programming, sequential decision making over time; the optimal value function and Bellman’s functional equation for finite and infinite horizon problems; Introduction of solution techniques: policy iteration, value iteration, and linear programming; General stochastic formulations, Markov decision processes; application of dynamic programming to network flow, resource allocation, inventory control, equipment replacement, scheduling and queueing control.

INDR 568 Heuristic Methods
Constructive heuristics; improving heuristics; metaheuristics: simulated annealing, genetic algorithms, tabu search, scatter search, path relinking, ant colony

INDR 570 Queueing Theory
Markovian queues: M/M/1, M/M/C, M/M/C/K systems and applications. Phase-type distributions and matrix-geometric methods: PH/PH/1 systems. Queueing networks: reversibility and product form solutions. General arrival or service time distributions: embedded Markov Chains, M/G/1 and G/M/c queues, G/G/1 queues and the Lindley recursion, approximations. Stochastic comparisons of queues: stochastic orders, sample path properties.

INDR 572 Reliability Theory
Basic concepts and definitions of system reliability. Series, parallel, k-out-of n systems. Structure functions, coherent systems, min-path and min-cut representations. System reliability assessment and computing reliability bounds. Parametric families of distributions, classes of life distributions and their properties. Shock and wear models. Maintenance, replacement and repairmodels. Current issues on stochastic modelling of hardware and software reliability.

INDR 574 Stochastic Models in Financial Engineering
Review of basic stochastic concepts; binomial market models and pricing of derivative securities; Wiener process and Brownian motion; martingales; stochastic integrals and differential equations; Ito’s calculus; pricing of derivative securities in continuous markets; Black-Scholes model; foreign exchange, bond and interest rate markets.

INDR 576 Inventory Control Theory
Development and application of mathematical models for inventory management. Basic economic-order-quantity with extensions; time-varying demand and purchase costs. Multiechelon inventory systems with multiple products and/or multiple locations. Analysis of stochastic demand for single and multiple products. Analysis of stochastic lead times. Policy optimization under time-varying, stochastic demand.

MECH 531 Modern Control Systems
Itroduction to modern control theory. Mathematical modeling of engineering systems, feedback control, stability and performance analysis, frequency and time response methods. A software package, MATLAB, used for control system analysis and design.

MECH 534 Computer Based Simulation and Modeling
Geometric, physics-based, and probabilistic modeling methodology and associated computational tools for interactive simulation: computer programming, numerical methods, graphical modeling and programming, physics-based and probabilistic modeling techniques.

ECOE 515 Distributed Computing Systems
Introduction to distributed computing, overview of operating systems, process synchronization and deadlocks, threads and thread synchronization, communication protocols, synchronization in distributed systems, management of time, causality, logical clocks, consistent global states, distributed mutual exclusion, distributed deadlock detection, election algorithms, agreement protocols, consensus, multicast communication, distributed transactions, replication, shared memory model, scheduling, distributed file systems, fault tolerance in distributed systems, distributed real-time systems.

ECOE 519 Introduction to Artificial Intelligence
Graduate-level introduction to artificial intelligence with the goals of understanding human intelligence from a computational point of view and building applied systems that can reason, learn, and adapt. Review of seminal work on language, vision, robotics, game playing with an emphasis on machine learning techniques.

ECOE 554 Machine Learning
Introduction to the fields of machine learning and data mining from a statistical perspective. Machine learning is the study of computer algorithms that improve automatically through experience. Vast amounts of data generated in many fields from biology to finance to linguistics makes a good understanding of the tools and techniques of machine learning indispensable. Topics covered include regression, classification, kernel methods, model assessment and selection, boosting, neural networks, support vector machines, nearest neighbors, and unsupervised learning.

CMSE 531 Introduction to Computational Science
Introduction to methods and software tools used in scientific computing. Software development, data abstraction and the concept of object oriented programming. Hands-on exploration of some of the principal modern software tools of computational science including computing environments, symbolic computing, numerical libraries and software repositories. Introduction to high performance computing and parallel programming.

QMBU 550 Selected Topics in Quantitative Methods
Topics will be announced when offered.

MATH 503 Applied Mathematics
Linear algebra: generalized vector space, eigenvalue problem, diagonalization, quadratic forms. Field theory: divergence theorem, Stokes’ theorem, irrotational fields. Sturm-Liouville theory, Bessel functions, Legendre polynomials. Partial differential equations: diffusion and Laplace equations by separation of variables and Sturm-Liouville theory, wave equation. Weighted residuals method. Integral transform and Green’s function solution of partial differential equations, complex variables, variational calculus and introduction to perturbation methods. Engineering applications.

MATH 504 Numerical Methods I
Graduate level introduction to matrix-based computing. Stable and efficient algorithms for linear equations, least squares and eigenvalue problems. Both direct and iterative methods. MATLAB used as a computing environment.

MATH 506 Numerical Methods II
Development and analysis of numerical methods for ODEs, an introduction to numerical optimization methods, and an introduction to random numbers and Monte Carlo simulations. Short survey of numerical methods for ODEs. Topics include stability, consistency, convergence and the issue of stiffness. Computational techniques for optimization problems arising in science and engineering. Random numbers and Monte Carlo simulations. Combines the theory and applications (such as programming in MATLAB) with emphasis on algorithms and their mathematical analysis.

MATH 531 Real Analysis I
Lebesgue measure and Lebesgue integration on Rn, general measure and integration, decomposition of measures, Radon-Nikodym theorem, extension of measures, Fubini’s theorem.

MATH 532 Real Analysis II
Normed and Banach spaces, Lp-spaces and duals, Hahn-Banach theorem, Baire category and uniform boundedness theorems, strong, weak and weak-convergence, open mapping theorem, closed graph theorem.

MATH 544 Stochastic Processes and Martingales
Stochastic processes, stopping times, Doob-Meyer decomposition, Doob’s martingale convergence theorem, characterization of square integrable martingales, Radon-Nikodym theorem, Brownian motion, reflection principle, law of iterated logarithms.

MATH 545 Mathematics of Finance
From random walk to Brownian motion, quadratic variation and volatility, stochastic integrals, martingale property, Ito formula, geometric Brownian motion, solution of Black-Scholes equation, stochastic differential equations, Feynman-Kac theorem, Cox-Ingersoll-Ross and Vasicek term structure models, Girsanov’s theorem and risk neutral measures, Heath-Jarrow-Morton term structure model, exchange-rate instruments.

ECOE 505 Linear Systems and Estimation Theory
Linear functions and linear dynamical systems, Multiple Input Multiple Output (MIMO) Systems, State Space Descriptions, Quadratic Forms, Maximum Likelihood and Maximum Aposteriori Estimation, SVD and Its Applications, Deterministic and Stochastic Least Squares, Wiener and Kalman Filtering, Spectral Factorization.

ECOE 556 Algorithms and Computational Complexity
Advanced topics in data structures, algorithms, and their computational complexity. Asymptotic complexity measures. Graph representations, topological order and algorithms. Forests and trees. Minimum spanning trees. Bipartite matching. Union-find data structure. Heaps. Hashing. Amortized complexity analysis. Randomized algorithms. Introduction to NP-completeness and approximation algorithms. The shortest path methods. Network flow problems.

MGEC 503 Game Theory for Business Managers
Game theory analyzing situations in which two or more individuals (or firms, political parties, countries) interact in a strategic manner. Better understand situations involving conflict and/or cooperation. Firm competition in markets, technological races, auctions, arms-races among countries, and party competition for votes. Systematic introduction to the tools of game theory and some of its applications with special emphasis to the business world.

MGEC 532 Advanced Topics In Political Economy And Türkiye
Topics covered include globalization and the nation state debate; multilateral agreements: from GATT to WTO, new regionalism in comparative perspective; the European model of political economy and its future trajectory; NAFTA and Asia Pacific: evolution and future prospects; neo-liberal reforms and democratization in Latin America and Eastern Europe; dynamics of emerging market crises andB the reform of the IMF; transnational corporations and FDI: positive and normative dimensions; the emerging post-Washington Consensus and the future of North-South relations; trans-nationalism and global governance; issues in the political economy of Türkiye.

MGEC 550 Selected Topics in Economics
Topics will be announced when offered.

ECON 505 Topics in Microeconomics
Focus is on applications that build on microeconomic foundations. Topics will be announced before the semester.

ECON 507 Macroeconomics I
Long-term economic growth; overlapping generations models; consumption, saving, and investment; real interest rates and asset prices; money and inflation.

ECON 508 Macroeconomics II
Classical and Keynesian theories of cyclical fluctuations; real business cycle theory; determination of employment and real wages; credit markets and financial stability; stabilization policy.

ECON 509 Topics in Macroeconomics
Focus is on applications that build on macroeconomic foundations. Topics will be announced before the semester.

ECON 513 Topics in Econometrics
Focus is on econometric applications which build on either micro- or macroeconomic foundations. Students will acquire proficiency with standard econometric software. Topics will be announced before the semester.

ECON 550 Topics in Economics
Focus is on applications which build on a broad foundation, requiring elements of both micro- and macroeconomics. Topics will be announced before the semester.

ECON 580 Research Methods in Economics
Develops research skills (including writing and presentation skills): Literature review, reading and presenting others’ work; identifying a research topic and narrowing it down to a research question; writing a research proposal; methodology: interplay between theory, econometrics and data. Features research presentations by regular and visiting faculty.