Academics

Course Catalog

GRAD > BUSADM

Business Administration

  • BUSADM 700  Business in Context: Markets, Technologies, Societies

    Description:
    This is the introductory core course for the PhD program in Business Administration and its goal is to establish a common experience with a foundational array of theories, perspectives, and topical issues for all the PhD tracks. The course provides a broad review, across business disciplines, of major contemporary management and organizational trends at the interface with technology, economics, policy, and social issues.   More Info

    Offered in:
  • BUSADM 710  Accounting for Finance I

    Description:
    This course teaches financial accounting theory and techniques that are useful to finance research., especially corporate finance area. Doing research on corporate finance requires intensive use of accounting data disclosed in financial statements. A better understanding of how the accounting numbers are measured and presented will enhance the research design and power of the tests.   More Info

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  • BUSADM 711  Accounting for Finance II

    Description:
    The course will focus on capital market studies, i.e., that portion of the empirical accounting research literature that focuses on the role that accounting information plays in the formation of capital market prices. The course will cover "classic" papers in the major research areas within the field and methodological issues in financial accounting.   More Info

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  • BUSADM 720  Quantitative Financial Analysis I

    Description:
    The objective of this course is to introduce students to analytical skills of microeconomics that are important for advanced analysis in areas of finance and business administration. This course emphasizes decision-making at the micro level - how consumers choose consumption and firms make production decisions given resource and financing constraints. The theory behind such actions is integrated to develop and economic equilibrium that is both predictable and can be validated by data.   More Info

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  • BUSADM 721  Quantitative Financial Analysis II

    Description:
    The emphasis in this course is to capture the dynamics of the economic system at an aggregate level. It covers mathematical tools and econometrics techniques required to analyze and forecast the dynamics of important economy-wide measurements such as long-run growth, inflation, unemployment, balance of trade and exchange rates. The underlying emphasis is also to understand how these macro level variables affect business decision-making and relate to financial markets.   More Info

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  • BUSADM 722  Cross-Section Analysis of Financial Data

    Description:
    This course is a PhD level introduction to econometrics. The objective of the course is to provide a rigorous treatment of basic econometric techniques and the body of theory underlying their applications.   More Info

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  • BUSADM 723  Time Series Analysis of Financial Data

    Description:
    The emphasis of this course will be to introduce students to time series data in financial accounting and finance. The course introduces the students to a variety of econometric techniques and the latest developments in the area of financial econometrics and quantitative finance. Topics include maximum likelihood, generalized method of moments, extremum estimators, selected topics in time series analysis, limited dependent variable model, nonparametric kernel estimators, predictability of asset returns, univariate and multivariate volatility modeling, estimation of dynamic equilibrium models, estimation and inference in continuous-time models, and Value at Risk models.   More Info

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  • BUSADM 730  Seminar in Investment & Asset Valuation

    Description:
    This is an advanced course in asset pricing. In this course we will study the theoretical foundations of modern financial economics. The course will cover the central themes of modern finance including individual investment decisions under uncertainty, capital market equilibrium an asset valuation, arbitrage pricing theory, option pricing. The emphasis on class presentation will enhance the ability to summarize the essential ingredients of a paper in a concise way, and to put them in perspective. Participation in presentation seminars should encourage critical thinking in terms of to asking the right questions about the research piece, assumptions made by the authors and to isolate key strengths and weaknesses of a research paper.   More Info

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  • BUSADM 731  Seminar in Financial Economics

    Description:
    This course is intended for individuals planning to pursue careers in "applied" finance. The objective of this course is for students to gain a working understanding of the major elements in the theory of capital markets and how they might be applied to common problems in professional money management. It also provides a broad array of topics in which these tools are used for research in both academia and money management. This course is required for PhD in Business Administration Finance track students.   More Info

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  • BUSADM 732  Seminar in Corporate Finance

    Description:
    This is an advanced course in corporate finance. The objective of this course is to gain a working understanding firm's contractual nature. The course begins with the classic Modigliani/Miller arguments, focus on the implications of violations of MM assumptions and then study the traditional corporate finance issues, including financial distress, corporate payout policy, and the capital acquisition process. In this course we will also review some topics that have become prominent in the literature in recent years: interactions between product and capital markets, corporate governance/control, special issues in governance/control raised by international differences, and finally, internal capital markets and the logic of diversification.   More Info

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  • BUSADM 733  Advanced Topics in Corporate Finance

    Description:
    This is an advanced course in corporate finance, expanding on topics covered in the PhD core corporate finance course. In this course we will review some topics that have become prominent in the literature in recent years: interactions between product and capital markets, corporate government/control, special issues in governance/control raised by international differences, and finally, internal capital markets and the logic of diversification.   More Info

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  • BUSADM 734  Topics in Investment Asset Pricing

    Description:
    this is an advanced course in asset valuation, building on knowledge fromt he core PhD investments courses. the course will cover the central themes of modern finance including individual investment decisions under uncertainty, capital market equilibrium and asset valuation. The emphasis on class presentations will enhance the ability to summarize the essential ingredients of a paper in a concise way, and to put them in perspecitve. Participating in presentation seminars should encourage critical thinking in terms of asking the right questions about the research piece, assumptions made by the authors and to isolate key strengths and weaknesses of a research paper.   More Info

    Offered in:
  • BUSADM 736  Accounting for Finance III

    Description:
    Building upon BUSADM 710 and 711, this course is designed to provide students with the applied and advanced understanding of empirical research in accounting. The course will focus on various capital market studies, i.e., the empirical research on the role that accounting information plays in the formation of capital asset prices. The course will cover "classic" papers in the major research areas within the field and methodological issues in financial accounting.   More Info

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  • BUSADM 740  Information Systems Theory I: Behavioral and Group Perspectives

    Description:
    This course is the first part of two-course series of Ph.D seminars on classic literature of information systems. It is designed to provide doctoral students a broad introduction to various research issues and challenges in topics of information systems (IS) and information technology (IT) management. As the first one of this series, this course is focused on theories at the behavioral and group levels. Typical topics covered in the course include, but are not limited to, technology adoption and diffusion, IT-enabled communication, decision support, virtual teams, online community, cultural and power issues in IT activities, and other emerging topics in the research field.   More Info

    Offered in:
    • TBA
  • BUSADM 741  Information Systems Theory II: Organizational and Economic Perspectives

    Description:
    This course is the second part of two-course series of Ph.D seminars on classic literature of information systems. It is designed to provide doctoral student specialized in information systems and business analytics a broad introduction to various research issues and challenges in topics of information systems (IS) and information technology (IT) management. As the second one of this series, this course is focused on theories at the organizational and economic levels. Topics covered include strategic IT planning, business value of IT, IT strategies, IT governance and controls, IT sourcing models, electronic marketplaces, economics of digital products, data science and business analytic, and other emerging topics in the research field.   More Info

    Offered in:
    • TBA
  • BUSADM 742  Regression Analysis

    Description:
    This course will introduce the fundamental concepts and applications of linear regressions, such as simple linear regression, multiple regression, model fit, transformations, variable selection and logistic regression etc., and also various issues that we might face during those applications. This course will be the foundation for applied quantitative research.   More Info

    Offered in:
    • TBA
  • BUSADM 743  Decision and Risk Analysis

    Description:
    Decision and risk analysis combine elements of probability, economics, logic, psychology and domain knowledge to characterize and analyze complex decision problems. Researchers in this scholarly discipline develop theoretical mathematical results, develop computational decision support tools grounded in formal theory, methods for populating models, as well as a large number of applied models for different real world problems or problem classes. Students will gain familiarity with the basic theory and methods from classic and recent texts, and will examine some real world applications from recent journal publications. There will be particular focus on connections between the approaches covered and developments in information systems and in analytics. The course will involve portions of prob   More Info

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  • BUSADM 744  Quantitative Research Methods in Information Systems

    Description:
    This course focuses on understanding, evaluating, and designing quantitative methods and methodologies for information systems research. Through this course, students will review and exercise the basic skills required for quantitative research at the post-graduate level, including literature review, research design, data collection and analysis, and report writing. To gain hands-on experience, students will work on an original research project during the semester and will be expected to submit a research outcome to an IS journal or conference. This course will be especially helpful to students who wish to use the quantitative research methods (e.g., survey, experimental and/or quasi-experimental methods) in their dissertations and subsequent research endeavors.   More Info

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  • BUSADM 745  Multivariate Statistics

    Description:
    The goal of this course is to develop skills necessary in analyzing problems in which multiple variables are simultaneously present, without knowing beforehand which once are playing important roles and hence are of interest, and which ones are not. Our main goal is to identify the signal or key features of the data. The course will cover the major techniques in this field. The focus will be on practical issues such as selecting the appropriate approach and how to prepare the data.   More Info

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  • BUSADM 750  Foundations of Organization Theory

    Description:
    This course considers classic readings in social theory that inform the main traditions in organization theory. It addresses central questions about how groups, organizations, and fields of organizations are created, patterned, and reproduced. Its objectives are to understand the historical and philosophical context of contemporary organization theory, to trace the genealogy of concepts in organization studies, and to understand the main concepts and ideas in the major publication outlets.   More Info

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  • BUSADM 751  Contemporary Organization Theory

    Description:
    This course for the Organizations and Social Change track provides students with a comprehensive foundation to understand different theories of organization across a variety of academic disciplines (i.e., Management, Economics, Political Economy, Sociology, Feminist Studies, etc.) focusing on more contemporary and critical schools of thought. Students will study the philosophical assumptions of different theories and gain an in-depth understanding of the relevance of ontology and epistemology for theorizing on and about organizations. the course is designed to socialize first and second year doctoral students with respect to the guiding scholarly norms of the business administration field in terms of understanding how to "read", critique, and utilize various theories of organization.   More Info

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  • BUSADM 754  Introduction to Organizations & Social Change

    Description:
    Organizations are at the heart of markets and societies. Profit-seeking corporations transform economic resources into outputs via organizations; governmental agencies delivered services and regulate other organizations; and numerous non-governmental organizations, from unions to churches to advocacy groups, constitute the realm of civil society. Organizations shape how a society functions. They are the vehicles through which societal-level interests and agendas are channeled. They represent a form a structural power; some groups systematically benefit relative to others as a result of how organizations operate. Organizations are frequently the target of public policy, as they are sites of both societal aspirations (productivity, innovation, opportunities for advancement) and societal chal   More Info

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  • BUSADM 760  Global and Political Economy Dimensions of Organization

    Description:
    This course is designed to deepen students' knowledge about the embeddedness and dynamics of business activities in global economic, political, organizational, social, and institutional structures, and their impact on business strategy and regional development. As part of the course, students will become familiar with the history and current dimensions of globalization, the multinational enterprise, theories of internationalization and economic development, varieties of capitalism, transnational institution-building, the concept of regional cluster, global value chains and production networks, and recent phenomena, such as global services sourcing.   More Info

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  • BUSADM 770  Introduction to Research Methods for the Social Sciences

    Description:
    This course will train students in selecting appropriate methods for investigation a research question. We will explore a range of approaches to data, including positivist, interpretive, and critical. Students will learn to read research papers through the eyes of reviewers and note where improvements can be made to tighten the flow from theory to research to conclusions.   More Info

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  • BUSADM 775  Professional Development Workshop - Doctoral Teaching

    Description:
    This course is designed for advanced doctoral students (e.g., end of second year), across the three tracks of the PhD in Business Administration (Organizations and Social Change, Finance, and Management Information Systems). The course is taken at this juncture to prepare you to teach sections of undergraduate courses at the College of Management, and more broadly, to develop a well-grounded approach to the skills and goals of teaching. In addition, this course prepares you to make presentations to a wide variety of audiences, including professional colleagues, business practitioners, policy makers, and other key stakeholders with an interest in their research findings. At this point in your career, you will increasingly be presented at research conferences, and ultimately, preparing your    More Info

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  • BUSADM 780  Advanced Data Mining and Predictive Modeling

    Description:
    One of premiere challenges businesses face today is how to take advantage of the vast amounts of data they can easily collect. Data mining is used to find patterns and relationships in data, and is integral to business analytics and fact-based decision-making. This course covers current data mining and predictive modeling techniques including algorithms for classification, association, and clustering; the course also covers text mining techniques such as Latent Semantic Analysis and Latent Dirichlet allocation. Current software tools will be introduced to apply data mining techniques with approaches used for building effective models, such as sampling strategies, data transformation, feature selection and ensemble methods, will be incorporated. The techniques and approaches covered int his   More Info

    Offered in:
    • TBA
  • BUSADM 782  Optimization for Data Science

    Description:
    This course teaches optimization theory and techniques that are powerful and important tools for conduction research in Data Science area. Optimization techniques can be used for mining and analytics of complex systems in Data Science field, which can greatly impact the decision making process in this area. This course covers linear and discrete optimization techniques including linear programming, integer programming, and network optimization; and emphasizes on how they can be applied to research problems. It focuses on effective formulation, techniques, basic mathematical and algorithmic concepts, and software solution of large-scale problems arising in Data Science applications.   More Info

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  • BUSADM 785  Big Data: Management, Analytics, and Applications

    Description:
    This course covers a new and increasingly popular method of conduction research using large scale data analysis. The advent of the Internet, Social Media and subsequently machine generated data has enabled social scientists to have access to extremely large datasets about the behavior of millions (or billions) of people or objects. However, collecting, storing, and analyzing this data isn't straightforward and requires specific skills. The goal of this course is to help students gain the skills required for this type of research while exposing them to tools and big data research streams. The course will help students understand both both the challenges and the opportunities and assist them to appreciate research related to the Big Data.   More Info

    Offered in:
    • TBA
  • BUSADM 797  Special Topics

    Description:
    This course offers study of selected topics within this subject. Course content and credits vary according to topic and are announced prior to the registration period.   More Info

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  • BUSADM 895  Independent Study

    Description:
    Independent study credit is granted only for academic work not normally offered in advanced courses. A student must find a faculty sponsor for his or her independent study project and then file a proposal for the project. The proposal should be signed by both the student and the faculty sponsor.   More Info

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  • BUSADM 896  Independent Study

    Description:
    Independent study credit is granted only for academic work not normally offered in advanced courses. A student must find a faculty sponsor for his or her independent study project and then file a proposal for the project. The proposal should be signed by both the student and the faculty sponsor.   More Info

    Offered in:
  • BUSADM 897  Special Topics

    Description:
    Special topics in Susiness Administration   More Info

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