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26:010:651
Accounting Theory I (3)
Analysis of selected major concepts and issues in financial accounting theory and practice and their managerial implications. Topics include methodological issues.
|
26:010:652
Accounting Theory II (3)
Topics include activity-based costing and management, agency theory, budgetary control systems, behavioral research in management accounting, compensation and incentive systems, efficiency and productivity measurement, decentralized performance evaluation systems, and quality control and measurement issues.
|
26:010:653
Current Topics in Auditing (3)
Advanced review of auditing literature covering both internal and external auditing. Topics include development of modern auditing theory, disclosure problems, principles of managerial control, and operational auditing.
|
26:010:666
Accountants' Judgment and Decision-Making (3)
Theoretical and methodological issues in behavioral research in accounting. Attention is devoted both to individual factors, such as memory, knowledge, and expertise, and to contextual features of accounting decision-making, such as accountability, the review process, and information characteristics.
|
26:010:671
Introduction to Accounting Information Systems Doctoral Studies
Every profession has its unique stock of common knowledge shared only by its members. Along with obtaining professional certification, you feel that you truly belong to a profession only when you are confident that know the same things that
those other members do. Getting an AIS PhD is a means of entering the profession of academic accounting, the field of teachers and researchers of accounting. Accounting information systems is a
subset of the broader field of accounting, and research in accounting is a subset of broader research in information technology, finance, economics, and psychology. In addition, accounting research is the research arm of the profession of accounting and that profession has a long history of methodologies and instructions of its own. The
common knowledge that academic accountants possess include understanding how their research fits into accounting practice and how their research is built upon both its own history of seminal papers and ideas, and on basic research from fields outside
accounting. In addition, members of the profession must understand their own academic instructions and practices, such as how papers are written and published,what they need to do to succeed in their careers and how to be a good colleague. Most PhD students obtain this set of common knowledge over time by interaction with their professors and fellow students, reading papers and taking many courses.
This is an informal process, however, and some doctoral students, through no fault of their own, will find it harder than others to obtain this information as thoroughly and as quickly as others. Students from outside the US and those for whom English is not their first language, are also disadvantaged in a process in which communication is key. Rather than relying on this haphazard process, the AIS department feels that it is
more efficient and equitable to formally teach incoming doctoral students the main
points of the common knowledge of academic accounting. That is the objective of this
course.
|
26:010:672
Emerging Technologies in AIS Research: XBRL, Cybersecurity, AI, and Beyond
This course aims to introduce students to recent research trends in AIS and provides the relevant knowledge and skills needed to conduct related research. In particular, it is designed to enable students to learn about and discuss the existing literature on emerging technologies, as well as to introduce the analytical techniques necessary for analyzing both structured and unstructured data in their research.
|
26:010:673
Emerging Technology and Data in Accounting & Auditing: Exogenous Variables
Designed for PhD students in Accounting Information Systems, this course offers an in-depth examination of how emerging technologies, particularly big data, AI, and machine learning, should be utilized to rethink business reporting and auditing. Focusing on the integration of exogenous signals into financial reporting and assurance, students will explore innovative methodologies for data analysis, enhancing the reliability, usefulness, and efficiency of accounting practices.
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26:010:674
Survey of Accounting Information Systems Research
The purpose of this course is to give doctoral students an overview of research in Accounting Information Systems (AIS). Designed to be taken by those majoring in either AIS or Accounting, the class will survey the breadth of topics studied by AIS researchers, the tools and methodologies that they use, and how AIS research integrates with research in accounting and in information systems (IS). Furthermore, it introduces the students to the entire AIS faculty and their research interests opening the door for future cooperation.
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26:010:675
Text Mining
This Ph.D.-level course, "Decoding of Textual Corporate Communications," delves into
textual analysis in accounting research, emphasizing the interpretation of unstructured
textual data. Students will explore relevant literature, learn key analysis techniques, and
apply LLMs to enhance their research projects. Tailored for those aiming to broaden
their investigative scope in accounting, the course also appeals to other business majors
seeking practical, technology-driven insights into textual analysis.
|
26:010:680
Accounting Theory III (3)
Discussion and review of selected topics in accounting research implementation and empirical testing in major fields of accounting.
|
26:010:685
Special Topics in Accounting (3)
|
26:010:686
First Early Research Seminar in Accounting (3)
|
26:010:687
Second Early Research Seminar in Accounting (3)
|
26:010:688
Independent Study in Accounting (BA)
|
26:010:689
Accounting Research Forum (E0)
|
26:010:799
Dissertation Research in Accounting (BA)
|
|
26:198:621
Electronic Commerce (3)
Covers the theoretical foundations, implementation problems, and research issues of the emerging area of electronic commerce. Discusses technological, conceptual, and methodological aspects of electronic commerce. The list of topics to be covered includes: fundamentals of internet technology, pricing of and accounting for internet transport, security problems of the internet, electronic payment systems, online financial reporting and auditing, intelligent agents, web measurements, electronic markets, and value chain over the internet. The coursework will include presentations of research articles, in-class discussions, and a final course project researching one of the problems of electronic commerce.
Prerequisites: Basic computer literacy, and introductory courses in computer information systems and economics.
|
26:198:622
Machine Learning (3)
Basic theory of rule-based systems and Bayes networks. Alternative architectures for managing uncertainty. Use of probabilistic logic to model causality. Related ideas from machine learning, neural networks, and genetic algorithms. Applications to auditing, marketing, and production.
|
26:198:641
Advanced Database Systems (3)
Emphasizes the functions of a database administrator. Includes survey of physical and logical organization of data and their methods of accessing, and the characteristics of different models of generalized database management systems.
Prerequisite: A master's-level course in databases such as 22:198:603 or NJIT CIS 631.
|
26:198:642
Multimedia Information Systems (3)
Covers principal topics related to multimedia information systems. These include organizing multimedia content, physical storage and retrieval of multimedia data, content-based search and retrieval, creating and delivering networked and multimedia presentations, and current research directions in this area.
Prerequisite: A master's-level course in databases such as 22:198:603 or NJIT CIS 631.
|
26:198:643
Information Security (3)
Recent years have witnessed widespread use of computers and their interconnecting networks. This demands additional computer security measures to protect the information and relevant systems. This course prepares students to meet the new challenges in the world of increasing threats to computer security by providing them with an understanding of the various threats and countermeasures. Specifically, students will learn the theoretical advancements in information security, state-of-the-art techniques, standards, and best practices. In particular, the topics covered in this course include: study of security policies; models and mechanisms for secrecy, integrity, and availability; operating system models and mechanisms for mandatory and discretionary controls; data models, concepts, and mechanisms for database security; basic cryptology and its applications; security in computer networks and distributed systems; identity threat; and control and prevention of viruses and other rogue programs.
|
26:198:644
Data Mining (3)
The key objectives of this course are twofold: (1) to teach the fundamental concepts of data mining; and (2) to provide extensive hands-on experience in applying the concepts to real-world applications. The core topics to be covered include classification, clustering, association analysis, and anomaly/novelty detection.
|
26:198:645
Data Privacy (3)
New technology has increasingly enabled corporations and governments to collect and use huge amounts of data related to individuals. At the same time, legitimate uses in health care, crime prevention, and terrorism demand that collected information be shared by more people than most of us ever know. Today, the challenge is enabling the legitimate use of the collected data without violating privacy. From the organizational perspective, enabling safe and secure use of owned data can lead to great value addition and return on investment. In this course, we are going to analyze the legal and social aspects of privacy and explore potential tools, techniques, and technologies that can enhance privacy.
|
26:198:685
Special Topics in Information Systems (3)
|
26:198:686
First Early Research Seminar in Information Systems (3)
|
26:198:687
Second Early Research Seminar in Information Systems (3)
|
26:198:688
Independent Study in Information Systems (BA)
|
26:198:689
Information Technology Research Forum (E0)
|
26:198:799
Dissertation Research in Information Systems (BA)
|
|
26:223:552
Microeconomic Theory (3)
Surveys and applies elements of marginal analysis, capital theory, utility, and risk analysis to problems in demand analysis, production, cost and distribution, market structure and pricing, and capital budgeting.
|
26:223:553
Macroeconomic Theory (3)
Models, with attention to empirical work, of aggregate demand and supply and their components, i.e., investments and consumption; supply and demand for money and other financial assets; capital and labor markets. Determinants of the price level and of inflation; rates of interest, employment, and income; and international macroeconomic relations. Reviews major issues in the evaluation of monetary policy.
|
26:223:554
Econometrics - Cross Sectional (3)
This is a Ph.D. course in applied econometrics of cross-section and panel data. The course will provide students with a working knowledge of finite and asymptotic statistical methods and the application of these statistical concepts to study large-sample properties of estimators (defined as the solution to an optimization problem, under various assumptions regarding the true data generating process). The large sample results will be applied to linear and nonlinear (in parameters) generalized least squares (GLS) and maximum likelihood (ML) estimators. These results are extended to develop a nonlinear instrumental variables estimator, the generalized method of moments (GMM), and various asymptotic testing procedures are derived for this general modeling framework. Instrumental variables, panel data, simultaneous equations, discrete dependent, limited dependent and duration models, dynamic panel models, and their applications are covered.
|
26:223:655
Advanced Econometrics - Time Series (3)
This course has a broad structure and covers many aspects of modeling and estimating financial/economic time series. In particular, we will be focusing on (i) linear regression models involving variables observed over time and (ii) "pure" univariate and multivariate time-series models. The objective is that participants gain a thorough understanding of the theory underlying time-series econometrics, which is the basis for any empirical time-series analysis of financial/economic market phenomena. The course places a particular emphasis on clearly identifying which econometric methods are appropriate under which scenarios. Estimation techniques covered will be Ordinary Least Squares (OLS) and Generalized Method of Moments (GMM).
|
26:223:657
Advanced Microeconomics (3)
An advanced theoretical treatment of major topics in microeconomics, including alternative models of consumer demand and the demand for the factors of production; the theory of market equilibria, their existence, and stability; and the concepts of perfect competition, monopoly, and other market imperfections.
Prerequisites: 26:223:552 and 26:960:577.
|
26:223:685
Special Topics in Applied Economics (3)
|
26:223:686
First Early Research Seminar in Applied Economics (3)
|
26:223:687
Second Early Research Seminar in Applied Economics (3)
|
26:223:688
Independent Study in Applied Economics (BA)
|
26:223:689
Economics Research Forum (E0)
|
26:223:799
Dissertation Research in Applied Economics (BA)
|
|
26:390:571
Survey of Financial Theory I - Investments (3)
Surveys the fundamental assumptions and the analytical techniques of the modern theory of finance. Topics include choices involving risk using utility theory and state preference, portfolio selection, capital market equilibrium and its implications for corporate finance and portfolio selections, and option theory.
Prerequisites: 26:223:552 and 26:960:577.
|
26:390:572
Survey of Financial Theory II - Corporate Finance (3)
Basic knowledge of theoretical and empirical model building in the area of corporate finance.
Prerequisite: 26:390:571.
|
26:390:685
Special Topics in Finance/Floating Finance Seminar (3)
|
26:390:686
First Early Research Seminar in Finance (3)
|
26:390:687
Second Early Research Seminar in Finance (3)
|
26:390:688
Independent Study in Finance (BA)
|
26:390:689
Finance Research Forum (E0)
|
26:390:799
Dissertation Research in Finance (BA)
|
International Business 553
|
26:553:501
Cross-Border Management: Institutions, Firms, and Industry Value Chains (3)
Explores challenges facing modern corporations in organizing
cross-border activity that spans multiple stages of the value chain. The course
contains several modules, including (but not limited to): institutional theory
and comparative management; theories of firm boundaries; management of
interfirm supply networks across national borders; markets for technology and
the changing division of innovative labor in industry value chains. Draws heavily on current literature in management, economics, and organization
theory. Emphasis is placed on empirical research. Students are expected to
critique papers, synthesize and present material to the class, and write a semester
paper.
|
26:553:601
Theory of International Business (3)
Provides a critical overview of the major theoretical approaches in
the international business literature. These strands of analysis can be grouped
under the five headings of the market power, internalization, eclectic paradigm,
competitive international industry, and macroeconomic approaches. Examines both
the differences and the scope for complementarities between these alternative
means of thinking about international business. Drawing upon this analytical
background, the course then reviews the key areas of recent research focus.
These crucial new research issues include the role of location in international
business, the strategy and organization of multinational corporations,
subsidiary level development, cross-border alliances, and international mergers
and acquisitions. The course concludes with an assessment of the role of
methodological design and prospective new directions in international business
research.
|
26:553:602
History of International Business (3)
Examines the history of international business, with a particular focus upon the context and determinants of the growth over the last 150 years of the largest multinational corporations (MNCs).
|
26:553:604
Corporate Innovation and International Business (3)
This course shows how the multinational firm depends critically on its
technological and related skills to achieve its central strategic objectives.
Introductory classes consider the determinants and characteristics of corporate
technological change, and the linkages between science and technology, and the
consequences of their geographical localization for international business. Then
we assess the contention that corporate strategy should include a strategy for
managing innovation, the purpose of which is deliberately to accumulate and
exploit firm-specific knowledge. The course examines the implications of
technological change as a learning process, for intercompany technology-based
alliances, for international technology transfer, and for capturing the returns
to innovation in the multinational firm. The innovative records of large and
small firms are compared. The use of corporate patent statistics is appraised as
a means of measuring patterns of innovation at the firm level. The course
concludes with a discussion of systems of innovation and technology
policies.
|
26:553:605
National Innovation Policies and International Business (3)
Examines the role of technology in economic development and national innovation systems as they evolve in the globalizing economy.
|
26:553:607
Global Political Economy (3)
This course offers a global perspective on long-term change in the world
economy, and the interaction between countries, regulatory systems, and business
firms. Attention is especially focused on the dynamics of international trade
and investment, including the relationship between trade and economic growth,
trade imbalances and protectionism, and the impact of technological innovation
on international competitiveness. The role of economic and political
institutions is also a central feature of our discussion, including the
international trading and financial systems, national systems of innovation and
political economy, and the interaction between multinational companies and both
the state and multilateral institutions. The course also looks at the
possibility of long waves in the world economy, and examines a variety of
alternative perspectives on the origins and processes of globalization.
|
26:553:685
Special Topics in International Business (3)
|
26:553:686
First Early Research Seminar in International Business (3)
|
26:553:687
Second Early Research Seminar in International Business (3)
|
26:553:688
Independent Study in International Business (BA)
|
26:553:689
International Business Research Forum (E0)
|
26:553:799
Dissertation Research in International Business (BA)
|
Organization Management 620
|
26:620:555
Seminar in Organizational Behavior (3)
Survey of theory and empirical research about the behavior of individuals and groups in organizations. Typical topics include motivation, socialization, job design, satisfaction, performance, leadership, group norms, and decision-making processes.
|
26:620:556
Seminar in Organization Theory (3)
Survey of theory and empirical research about the behavior of individuals and groups in organizations. Typical topics include models or organizations (e.g., theories of bureaucracy and closed, open, and natural systems); effects of technology, environment, power, and decision making; and organizational culture.
|
26:620:557
Social Science Research Methods (3)
Surveys methods used in the study of organizations, including experimental design, survey research, case methods, questionnaire and interview construction, and scaling techniques. Students expected to design feasible research projects that are later carried out.
Prerequisite: 26:960:577.
|
26:620:558
Seminar in Strategic Management (3)
This seminar introduces the field of strategy at the Ph.D. level. It critically reviews a wide variety of approaches to strategy research, including both behavioral and economic approaches, and the relation of other areas of research to strategy formulation and implementation.
|
26:620:604
Seminar in Leadership and Group Processes (3)
Important theories and empirical studies of leadership and group process. Key theoretical and methodological issues in transformational leadership, empowerment, and self-managing teams.
|
26:620:660
Qualitative Research Methods (3)
Emphasizes issues of eliciting, analyzing, and representing verbal data in qualitative research. The topics considered are definition and evaluation of qualitative research; methods of eliciting data from individuals and groups; methods of analyzing verbal data; issues of representing narratives; and new research directions using feminist, historical, and aesthetic methods.
|
26:620:661
Business Ethics (3)
This course serves as an introduction to the multidisciplinary academic
literature on business ethics and requires no previous exposure to
business ethics or philosophy. The course begins with leading theories
in business ethics, which are then explored through various disciplinary
applications (management, accounting, marketing, and supply chain).
Relevant psychological and sociological influences in decision-making
are addressed throughout the course and special attention is paid to
conducting empirical research on ethics-oriented topics. Guest speakers
provide insight into various topics. By the end of the course, class
participants will have developed their own business ethics empirical
study or normative analysis which will draw upon an ethical aspect of
their discipline.
|
26:620:662
Event Data in Social Science (3)
How categorical and event data, event count data, and continuous time series data can be analyzed to answer research questions in organization management and international business. Problems in economics, marketing, political science, sociology, and other areas will also be considered. The goal of the course is for students to leave with a toolbox of methods that they can apply to their own research. Students will be trained to use a variety of statistical programs for particular types of data.
|
26:620:664
Econometrics for Social Science (3)
This course focuses on the fundamental research design issues that arise in many social science contexts. Particular emphasis is given to applications in management and public policy. For example, topics covered in detail are self-selected samples, endogeneity problems, and state dependence and heterogeneity. The first half of the course focuses on research design. The second half of the course illustrates the research design topics in the context of basic panel data econometrics. Using a micropanel dataset on Canadian multinational firms, students are introduced to STATA and learn panel data econometric techniques.
|
26:620:671
Management of Innovation and Technology (3)
Examines individual, structural, and contextual factors that facilitate and inhibit the generation and implementation of new technology. Emphasizes the management of innovation in organizations.
|
26:620:675
Advanced Topics in Strategic Management (3)
This seminar is designed for doctoral students who expect to conduct research in the strategy area. It surveys and critically evaluates contemporary research in the strategy field, reanalyzing, reframing, and extending traditional approaches and theories.
|
26:620:677
Culture and Organizations (3)
This course draws from the cross-cultural psychology literature on national and ethnic cultures and from the management literature on culture in organizations. Major topics include the content and manifestations of culture, cultural similarities and differences, the transmission of culture, culture and subculture, culture change, leadership and culture, and managing organizational culture.
|
26:620:685
Special Topics in Organization Management (3)
|
26:620:686
First Early Research Seminar in Organization Management (3)
|
26:620:687
Second Early Research Seminar in Organization Management (3)
|
26:620:688
Independent Study in Organization Management (BA)
|
26:620:689
Organization Management Research Forum (E0)
|
26:620:700
Professional Development Seminar (E0)
|
26:620:701
Teacher Training Seminar (E0)
|
26:620:799
Dissertation Research in Organization Management (BA)
|
|
26:630:675
Marketing Models (3)
Covers the basic theory of GLMs and its applications in marketing decision making. Hazard rate and Bass diffusion models are also part of this course. Retailing and financial service examples are adopted for data analysis demonstration
|
26:630:676
Consumer Behavior (3)
Provides graduate students with a solid
foundation for critical thinking and research in psychology, marketing, and related topics. Topics of discussion include consumer knowledge (learning,
memory, and categorization), attitude theory, persuasion, affect, and social
influence. The course draws from the literature in marketing, psychology, and
economics. It will enable students to conceptualize, operationalize, and
develop research ideas. Therefore, the focus is on understanding current
theoretical and methodological approaches to various aspects of consumer
behavior, as well as advancing this knowledge by developing testable hypotheses
and theoretical perspectives that build on the current knowledge base.
|
26:630:685
Special Topics in Marketing (3)
|
26:630:686
First Early Research Seminar in Marketing (3)
|
26:630:687
Second Early Research Seminar in Marketing (3)
|
26:630:688
Independent Study in Marketing (BA)
|
26:630:689
Marketing Research Forum (EO)
|
26:630:799
Dissertation Research in Marketing (BA)
|
|
26:711:530
Semidefinite and Second-Order Cone Optimization (3)
Theory, algorithms, and applications of semidefinite and second-order optimization problems, duality, complementarily, interior point algorithms, eigenvalue optimization, nonnegative polynomials, sum-of-square functional systems, applications in combinatorial optimization, control theory, statistics, and quantitative finance.
|
26:711:555
Stochastic Programming (3)
The course focuses on modeling, analysis, and solution methods for optimization problems in the presence of uncertainty. It addresses expected value optimization, chance constraints, and risk-averse optimization. Two-stage and multistage problems will be discussed in depth, together with applications to data mining, finance, and supply chain management.
|
26:711:557
Dynamic Programming (3)
Shortest path problems, label correcting algorithms. Controlled Markov chains. Finite horizon control problems, discounted and undiscounted infinite horizon problems, average cost problems. Dynamic programming equations. Value and policy iteration methods, linear programming approaches. Applications in scheduling, inventory control, logistics, finance, queuing, and other specific topics in operations research.
|
26:711:561
Mathematical Methods for Economics (3)
Explores the quantitative tools and principles used to model operational procedures in economic and business systems: types of variables, mathematical sets, and functional forms in constrained and unconstrained optimization. Other topics include tractability, duality, Kuhn-Tucker theory, algorithms, and computation.
Prerequisite: Differential calculus.
|
26:711:563
Stochastic Calculus for Finance (3)
Provides students with knowledge and skill
sufficient for correct formulation and analysis of continuous-time stochastic
models involving stochastic integrals and stochastic differential equations.
Particular attention will be devoted to application of stochastic calculus
methods in finance, such as models of evolution of stock prices and interest
rates, pricing of options, and pricing of other contingent claims. The course
will also prepare the students for independent research on problems involving
stochastic calculus techniques.
|
26:711:564
Optimization Models in Finance (3)
Introduces models and computational methods
for static and dynamic optimization problems occurring in finance. Special
attention will be devoted to portfolio optimization and to risk management
problems.
Prerequisites: Operations management, statistics.
|
26:711:651
Linear Programming (3)
A survey of linear programming and its applications. Topics include linear programming models, basic simplex method, duality theory and complementary slackness, sensitivity analysis, degeneracy, matrix notation and revised simplex method, special linear programs such as transportation and network flow theory, applications in statistics, economics and finance models of linear programming, game theory, and introduction to interior point methods.
Prerequisite: Undergraduate linear algebra.
|
26:711:652
Nonlinear Programming (3)
Fundamentals of nonlinear optimization, with an emphasis on convex problems. Gradient, Newton, and other methods for unconstrained problems. Projection, linearization, penalty, barrier, and augmented Lagrangian methods for constrained problems. Lagrangian functions and duality theory. Assignments include computer programming and mathematical proofs.
Prerequisite: 26:711:651.
|
26:711:653
Discrete Optimization (3)
Combinatorial and discrete optimization problems on graphs and networks, knapsack, cutting stock, set covering, and packing problems: theoretical properties, algorithms, complexity. Branch and bound methods, cuts, lifting. Applications.
|
26:711:685
Special Topics in Management Science (3)
|
26:711:686
First Early Research Seminar in Management Science (3)
|
26:711:687
Second Early Research Seminar in Management Science (3)
|
26:711:688
Independent Study in Management Science (BA)
|
26:711:689
Management Science Research Forum (E0)
|
26:711:799
Dissertation Research in Management Science (BA)
|
|
26:960:575
Introduction to Probability (3)
Foundations of probability. Discrete and continuous simple and multivariate probability distributions; random walks; generating functions; linear functions of random variable; approximate means and variances; exact methods of finding moments; limit theorems; stochastic processes including immigration-emigration, simple queuing, renewal theory, and Markov chains.
Prerequisite: Undergraduate or master's-level course in statistics.
|
26:960:576
Financial Time Series (3)
Covers applied statistical methodologies pertaining to time series,
with an emphasis on model building and accurate prediction. Completion of this
course will provide students with enough insights and modeling tools to analyze
time-series data in the business world. Students are expected to have basic
working knowledge of probability and statistics including linear regression,
estimation, and testing from the applied perspective. We will use R throughout
the course so prior knowledge of it is welcome, but not required.
|
26:960:577
Introduction to Statistical Linear Models (3)
Linear models and their application to empirical data. The general linear model; ordinary-least-squares estimation; diagnostics, including departures from underlying assumptions, detection of outliners, effects of influential observations, and leverage; analysis of variance, including one-way layouts, two-way, higher dimensional layouts, partitioning sums of squares, and incomplete layouts (Latin squares, incomplete blocks, and nested or repeated measures). Emphasizes computational aspects and use of standard computer packages such as SAS.
Prerequisite: Undergraduate or master's-level course in statistics.
|
26:960:580
Stochastic Processes (3)
Review of probability theory with emphasis on conditional expectations; Markov chains; the Poisson process; continuous-time Markov chains; renewal theory; queuing theory; and introduction to stochastic calculus (e.g., Ito's Lemma).
Prerequisite: 26:960:575.
|
Supply Chain Management 799
|
26:799:660
Supply Chain Modeling and Algorithms (3)
Focuses on the application of management science techniques to model the newest emerging supply chain planning problems (such as reverse logistics, integrated production, inventory and distribution problems, multipartner pricing analysis, supply chain distribution network design, location analysis, and transportation capacity planning, etc.) to meet the changing needs of new generations of our Ph.D. students. The course also focuses on the processes of developing new search algorithms and error bound analysis to effectively solve such practical business decision and optimization problems. Academic researchers and selected industry executives will be invited to the classroom to present the pipeline research results and new challenges encountered in supply chain management practices.
|
26:799:661
Stochastic Methods in Supply Chain Management (3)
Covers economic models in supply chain management under uncertainty. We study key management concepts such as contract design, competition, and information asymmetry.
|
26:799:685
Special Topics in Supply Chain Management (3)
|
26:799:686
First Early Research Seminar in Supply Chain Management (3)
|
26:799:687
Second Early Research Seminar in Supply Chain Management (3)
|
26:799:688
Independent Study in Supply Chain Management (BA)
|
26:799:689
Supply Chain Management Research Forum (E0)
|
26:799:799
Dissertation Research in Supply Chain Management (BA)
|
*Doctoral 3-credit courses meet once a week, usually during the day, for the 14 weeks of the fall and spring semesters.
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Programs, Faculty, and Courses 
