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Ph.D. Courses

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47715 Accounting & Information Economics I

Structural methods for finance and accounting. Empirical accounting research and critical assessment of empirical work. Learn about the research process and develop ideas for your own research.

47718 Introduction to Accounting Theory

This course offers an introduction to the theoretical investigation of accounting as an academic discipline. The introduction is open to perspectives from the history of accounting thoughts, the mathematical foundation of bookkeeping, and modeled economic behavior. The…
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47719 Accounting & Information Economics II

This course covers the main applications of contract theory and information economics, focusing on the business fields of accounting and finance. We start with two essential information-based economic problems moral hazard and adverse selection respectively and focus on…
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47721 Seminar in Finance I (Finance Theory)

Finance is the allocation of resources across states and time. We will start with allocation across states – that is a static, single period model. Allocation of resources across states is "risk." What is it? We look at arbitrage and its implications, preferences…
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47723 Seminar in Finance III (Financial Institutions & Markets)

This course will focus on trading and market structure issues, and also attention to credit rating agencies, arbitrage and taxes.

47724 Seminar in Finance IV (Corporate Finance)

This is a PhD course intended for doctoral students in finance, economics, and accounting. We will study dynamic quantitative models of corporate investment, financing, and related decisions. While the topics will be primarily in the area of corporate finance, broadly…
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47770 Strategic Queueing Models

This course is designed to introduce students to contemporary research topics in Operations Management built on a queueing framework. Queueing theory, the intrinsically dynamic and stochastic study of flow systems, will be used to model how waiting times depend on demand…
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47774 Advanced Stochastic Analysis & Applications I

In designing computer systems one is usually constrained by certain performance requirements and limitations. For example, one might need to guarantee a response time SLA or certain throughput requirement, while at the same time staying within a power budget or cost…
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47775 Advanced Stochastic Analysis & Applications II

In designing computer systems one is usually constrained by certain performance requirements and limitations. For example, one might need to guarantee a response time SLA or certain throughput requirement, while at the same time staying within a power budget or cost…
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47779 Quantum Integer Programming & Quantum Machine Learning I

This course is primarily designed for graduate students (and advanced undergraduates) interested in integer programming (with non-linear objective functions) and the potential of near-term quantum and quantum-inspired computing for solving combinatorial optimization problems.

47785 Quantum Integer Programming & Quantum Machine Learning II

This course is primarily designed for graduate students (and advanced undergraduates) interested in integer programming (with non-linear objective functions) and the potential of near-term quantum and quantum-inspired computing for solving combinatorial optimization problems.

47800 Microeconomics I

This course is the first course in the core micro sequence of the economics PhD program. It is an introduction to microeconomic theory and concerns the behavior of individual consumers and firms in competitive settings. The specific topics to be covered are preference and…
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47801 Microeconomics II

This course is the second course in the core micro sequence of the economics PhD program. It is an introductory course in game theory and concerns economic situations in which rational decision-makers interact. The course is intended to teach students the tools necessary…
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47802 Microeconomics III

This course is the last course in the core micro sequence of the economics PhD program. The topics studied are advanced topics in economic theory. They often include but are not limited to contract theory and economics of information, repeated games and advanced models of…
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47803 Macroeconomics I

This course is the first course in the core macro sequence of the economics PhD program. This is an introductory course to modern macroeconomics. The course covers topics from basic growth theory to labor markets, asset pricing and government policy. It makes the students…
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47804 Macroeconomics II

This course is the second course in the core macro sequence of the economics PhD program. The course expands on the topics discussed in macroeconomics 1. Mainly the course focuses on macroeconomic models that involve heterogeneity. The topics covered in the class are…
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47805 Macroeconomics III

This course is the last course in the core macro sequence of the economics PhD program. It covers advanced topics in macroeconomics. These include monetary economics, models of firm dynamics, technology adoption, innovation and growth.  

47808 Dynamic Competitive Analysis

This course will focus on the overlapping generations (OLG) model. Together with the neoclassical growth model (aka the Ramsey-Cass-Koopmans model), the OLG is one of the workhorse models used in macroeconomic theory. Since the student will have been introduced to the RCK…
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47811 Econometrics I

This course is the first course in the core econometrics sequence of the economics PhD program. It is an introduction to the basic questions, tools and techniques used in empirical social science research. Students will learn to calculate and perform correct inference on…
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47812 Econometrics II

This course is the second course in the core econometrics sequence of the economics PhD program. It is about estimating structural economic models. The basic question is how to use data to estimate the parameters of an economic model. We will want to establish: establish…
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47813 Econometrics III

This course is the third course in the core econometrics sequence of the economics PhD program. This course explores relationships between economic theory, identification, estimation and econometric practice. It develops structural approaches for analyzing large cross…
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47817 Information Economics

This course is an advanced class on information, learning and communication. Topics include but are not limited to basic underpinnings of modeling information in economic decisions, including measuring the value of information and information design. These frameworks are…
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47830 Integer Programming

This is a graduate-level course in integer programming. The material from 47-834 Linear Programming is a prerequisite. The following topics will be covered: Scope and applicability of integer programming. Formulations. The knapsack problem, covering and packing, the…
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47834 Linear Programming

Linear programming lies at the basis of modern optimization theory. This course focuses primarily on linear programming theory and algorithms, leaving beyond the scope of its practical applications. The main topics to be covered include modeling examples and expressive…
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47835 Network Optimization I

Network Optimization 1 & 2 (47-835 & 836) are a pair of doctoral level classes that cover basic topics in the intersection of graph algorithms and mathematical optimization. Topics covered include packing and covering problems in graphs such as flows, cuts, and…
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47836 Network Optimization II

Network Optimization 1 & 2 (47-835 & 836) are a pair of doctoral level classes that cover basic topics in the intersection of graph algorithms and mathematical optimization. Topics covered include packing and covering problems in graphs such as flows, cuts, and…
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47840 Dynamic Programming

The objective of this course is to provide an introduction to the theory and applications of dynamic programming (DP). We investigate the theory and methods commonly used in DP. We illustrate their use in solving particular models in various areas, which may include…
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47843 Foundations of Data Science

Modern data in many Machine Learning applications, Recommendation Systems, Neural nets, Ranking, as well as other areas consists of vectors with many components. The abstraction of data to high dimensional vectors is not just a book-keeping device, but is fundamental to…
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47851 Modern Convex Optimization

This course will cover the main foundations of convex optimization. The goal is to develop solid command of the foundational blocks of this discipline at the highest possible level. The course topics will include a thorough treatment of duality, optimality conditions,…
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47853 Special Topics: Combinatorial Optimization

Menger (1927) showed that the maximum number of disjoint st-paths is equal to the minimum cardinality of an st-cut. Dilworth (1950) proved that the minimum number of chains needed to cover a poset is equal to the maximum cardinality of an antichain. These classic results…
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47876 Macro-Finance

This course will provide a macro-finance approach to understanding liquidity and illiquidity. Our approach will lay the foundations to understand central issues in money, monetary policy, banking, and financial intermediation more broadly. We we will then apply these…
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47887 Economic Regulation of Networked Industries

This course will examine principles of economic regulation of networked industries such as gas, electricity, water and telecommunications, including economic justifications for price regulation (e.g. natural monopoly); alternative approaches to price regulation (Rate of…
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47890 Seminar in Organizational Theory (Micro)

This seminar focuses on individual and group behavior in organizations. The purpose of this course is to examine and understand fundamental theories and empirical research in the field of organizational behavior, and to increase our understanding of people’s…
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47894 Research Methods in Behavioral Sciences

This course provides an introduction to research methodology applicable to organizational behavior and other related fields. The course will survey the major research methodologies used in organizational behavior and social/personality psychology, and will focus on both…
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47896 Seminar in Meso OB

As organizational environments have become more dynamic and unpredictable, many organizations have responded by flattening their structures and deploying teams as a means of increasing flexibility, responsiveness, information gathering and processing capabilities.…
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47899 Organizational Learning

The course focuses on organizational learning and its processes of creating, retaining and transferring knowledge. The course begins with an analysis of models of organizational learning. Theoretical models and empirical findings are then presented about knowledge…
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47902 Structural Models

This course focuses on empirical research in labor economics. It covers two main topics: labor supply and human capital accumulation. For each of these topics, first theoretical models are presented and then focus is shifted to empirical approaches to estimating these models.

47950 Seminar in BT: Human-AI Interactions in Business Decision Making

Innovations in algorithms and artificial intelligence (AI) are changing the way business and policy decisions are made. For example, inventory and pricing algorithms are developed to help retail managers make better operational decisions; forecasting algorithms are…
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47952 Estimating Dynamic and Structural Models

The seminar is intended to provide students with hand-on training in some cutting edge empirical frameworks and models. The topics we will cover would include (but are not limited to): latent class models, hidden Markov models, Bayesian learning models, single agent…
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47954 Human and Algorithmic Bias

The purpose of this course is to help students develop an economic perspective on algorithmic bias and related social and policy issues. To this end, we will read and discuss (1) classic economics, psychology and sociology papers on human bias and discrimination, (2)…
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47990 Seminar in Strategic Management: Core Strategy Research & Implications

Strategic management research is a domain of social science research that is concerned with explaining and predicting differences in organizational performance. Strategic management is an interdisciplinary field, and hence any introductory course faces the trade-off…
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