GRAD > BUSADM
Business Administration Courses
BUSADM 696 Independent Study +
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
Offered in: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
Offered in:BUSADM 721 Quantitative Financial Analysis +
Description:
The objective of this course is to provide foundations of Financial Economics at the micro and macro levels. It covers constrained optimization techniques, expected utility theory, firm decisions, and investment under uncertainty, which are used to derive individual behaviors in capital markets. It introduces economic growth and general equilibrium which help students understand how the macroeconomic dynamic is driven by aggregated individual behaviors. It also covers agency frictions, such as limited commitment and moral hazard, and their implications for the financial sector. More Info
Offered in:BUSADM 722 Cross-Section Analysis of Financial Data +
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
Offered in:- TBA
BUSADM 724 Natural Language Processing and Machine Learning in Finance +
Description:
The course is designed to introduce students to natural language processing and machine learning methods used in finance research. It covers the most common methods and the current finance literature that uses these methods. More Info
Offered in:- TBA
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
Offered in: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. More Info
Offered in:- TBA
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
Offered in: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
Offered in: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
Offered in: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: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: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: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 problem sets, student led discussions. Students emerging from the class will be prepared to incorporate decision analysis into research involving applications or IS/Analytics, or to further investigate decision analysis in order to research in the methods of the field itself. Students will also keep a journal of ideas one of which will be the basis for a project or research paper that has the potential for expansion into publishable results. More Info
Offered in: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
Offered in: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
Offered in: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
Offered in: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
Offered in: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 challenges (inequality, discrimination, pollution, deception). Organizations can also be arenas of resistance and change, advancing new ideas and addressing old problems. An understanding of organizations - their sources of power, their role in governance, and their structures and processes - is therefore highly relevant for future researchers who wish to conduct studies of use for policy analysts, activists, and managers in the private, public, and non-profit sectors. More Info
Offered in: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
Offered in:BUSADM 771 Contemporary Research Practice on Management, Organizations, and Social Change +
Description:
This course is required for all doctoral students in the Ph.D. in Business Administration, Organizations and Social Change (OSC) track. This course complements research methods courses to further develop the abilities of students to evaluate and design social science research on management, organizations and social change for publication in academic journals and other outlets. The core assumption of this class is that research is a craft with rules, norms, and best practices that are not always obvious. The primary goal is to demystify research practice and give students the tools to better connect research methods to contemporary theoretical debates within management and organizational theory, both of which are key to the development of original research projects. More Info
Offered in: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 oral dissertation defense and your ''job talk.'' More Info
Offered in:- TBA
BUSADM 777 Dissertation Seminar - Finance track +
Description:
The primary purpose of this course is to apply one's cumulative understanding and skills learned from two years of course work. This seminar is structured around a series of assignments and milestones during which the students will be encouraged to work collaboratively among themselves and occasionally with other faculty members in their area of interest. The goal is to provide a structured approach to produce a research work plan and milestones for their third year by the end of the semester. This course does not aim to provide additional substantive material or methodological toolkit, the way typical graduate course do. From the perspective of one's program of study, however, this course poses a real-world test helping to make a realistic transition from coursework to dissertation. More Info
Offered in: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 course will be examined in the context of current research and methodological use in the field of Information Systems. 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
Offered in: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:BUSADM 797 Special Topics +
BUSADM 891 Dissertation Proposal Course +
Description:
This course is an elective for Ph.D. students. The goal of this course is to help students transition from coursework to dissertation, and includes a structured series of discussions, assignments, and presentation. Students will apply their cumulative understanding and skills from Ph.D. courses. This course will not provide additional substantive, theoretical, or methodological training, but instead organize everything being learned and learned to date to prepare and defend their dissertation proposal. More Info
Offered in:- TBA
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
Offered in: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 +
BUSADM 899 Dissertation Research +
Description:
This is a placeholder course for students to enroll while conducting doctoral research and writing their dissertation under the supervision of a dissertation committee. It allows students to register for required dissertation credits towards a Ph.D. in Business Administration. More Info
Offered in: