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Rensselaer Catalog 2019-2020 [Archived Catalog]
Courses
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CSCI 6040 - Approximation Algorithms
Algorithms with provable guarantees on the quality of their solutions are a powerful way of dealing with intractable problems. This course covers fundamental techniques for designing approximation algorithms. Possible topics include: semi-definite and linear programming, inapproximability and the PCP theorem, randomized rounding, metrics and cuts, primal-dual methods, and online algorithms.
Prerequisites/Corequisites: Prerequisite: CSCI 4020 or permission of instructor.
When Offered: Fall term odd-numbered years.
Cross Listed: CSCI 4040. Students cannot receive credit for both CSCI 4040 and CSCI 6040.
Credit Hours: 4
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CSCI 6100 - Machine Learning from Data
Introduction to the theory, algorithms, and applications of machine learning (supervised, reinforcement, and unsupervised) from data: What is learning? Is learning feasible? How can it be done? How can it be done well? The course offers a mix of theory, technique, and application with additional selected topics chosen from Pattern Recognition, Decision Trees, Neural Networks, RBF’s, Bayesian Learning, PAC Learning, Support Vector Machines, Gaussian processes, and Hidden Markov Models.
Prerequisites/Corequisites: Prerequisites: CSCI 2300; an advanced 4000-level algorithms-based CSCI or MATH course; familiarity with probability, linear algebra, and calculus.
When Offered: Fall term annually.
Cross Listed: CSCI 4100. Students cannot receive credit for both CSCI 4100 and CSCI 6100.
Credit Hours: 4
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CSCI 6110 - Computational Social Processes
Introduction to the computational and algorithmic aspects of social processes. Topics covered will be selected to illustrate the diverse challenges in algorithmic social process analysis: social networks and their dynamics; information flow; hidden networks. Algorithms involving social and selfish agents, social choice theory, voting, and auctions. Ranking actors in networks, recommendation systems, peer-review, and aggregation of rankings/reviews. Students cannot receive credit for both CSCI 4110 and CSCI 6110.
Prerequisites/Corequisites: Prerequisites: CSCI 2300 and an advanced 4000-level algorithms-based CSCI or MATH course.
When Offered: Fall term even-numbered years, upon availability of instructor.
Cross Listed: CSCI 4110.
Credit Hours: 4
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CSCI 6120 - Computational Finance
Introduction to the computational and mathematical techniques for practical financial applications. The course will emphasize the algorithmic side of finance. Topics will be selected from pricing (options and derivatives), trading, risk-evaluation, selfish agents, sequential decisions, and portfolio optimization. Examples of the mathematical and algorithmic techniques covered are martingale measures, risk-neutral pricing and Monte Carlo, dynamic programing, and stochastic processes. Students cannot receive credit for both CSCI 4120 and CSCI 6120.
Prerequisites/Corequisites: Prerequisites: CSCI 2300; an advanced 4000-level algorithms-based CSCI or MATH course; familiarity with probability, linear algebra, and calculus.
When Offered: Fall term even-numbered years, upon availability of instructor.
Cross Listed: CSCI 4120.
Credit Hours: 4
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CSCI 6130 - Natural Language Processing
This course introduces state-of-the-art Natural Language Processing (NLP) methods, covering major popular research topics via the most-cited and up-to-date papers for each topic, as well as other resources. This course also covers machine learning methods for NLP. Students implement some of these methods and apply machine learning toolkits to solve a variety of problems. Assignments incorporate linguistics, mathematics, and careful thinking.
Prerequisites/Corequisites: Prerequisites: CSCI 2300 and MATH 2010.
When Offered: Spring term annually.
Cross Listed: CSCI 4130. Students cannot receive credit for both CSCI 4130 and CSCI 6130.
Credit Hours: 4
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CSCI 6140 - Computer Operating Systems
Topics include analysis of multiprogramming systems, virtual memory, computer system performance, and queuing theory. The course also discusses tools for synchronization of parallel programs and algorithms for mutual exclusion.
Prerequisites/Corequisites: Prerequisite: CSCI 2300 and either CSCI 2500 or ECSE 2660.
When Offered: Spring term annually.
Cross Listed: CSCI 4210. Students cannot receive credit for both CSCI 4210 and CSCI 6140.
Credit Hours: 4
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CSCI 6220 - Randomized Algorithms
State-of-the-art in contemporary algorithm design, randomized algorithms are algorithms that use randomness as part of their functioning. They are typically simple, often easy to analyze, and work well in practice. They have numerous applications in many fields of computer science and mathematics. Randomized algorithms represent an active and vibrant research area with many exciting new results contributed every year. Students cannot receive credit for both CSCI 4030 and CSCI 6220.
Prerequisites/Corequisites: Prerequisite: CSCI 4020 or equivalent.
When Offered: Fall term annually.
Credit Hours: 4
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CSCI 6230 - Cryptography and Network Security I
A self-contained course that includes topics from number theory, basic cryptography, and protocol security. This is a hybrid course with sufficient depth in both theory and hands-on experience with network protocols. Topics include: Classical Cryptography, Block Ciphers (DES, AES), Information Theoretical Cryptography, Randomness, RNG and Stream Ciphers, Hash and MAC Algorithms, Public-Key Cryptography, Elliptic Curve Cryptography, Digital Signatures and Identification, Internet Attacks, Web Security, SSL and PGP.
Prerequisites/Corequisites: Prerequisites: CSCI 2300; also desirable is CSCI 4210 and CSCI 4220.
When Offered: Fall term annually.
Cross Listed: CSCI 4230. Students cannot receive credit for both CSCI 4230 and CSCI 6230.
Credit Hours: 4
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CSCI 6240 - Cryptography and Network Security II
A course covering advanced security topics with depth both in theory and hands-on exercises. Topics include: Probabilistic Encryption, Deniable Cryptography, Hardcore Predicates, All-or-Nothing Encryption, Secret Sharing, Subliminal/Covert Channels, Mental Poker, Goldwasser-Micali and Blum-Goldwasser Cryptosystems, Paillier PKC and Homomorphism, Elliptic Curve Cryptography, and Blind Signatures and E-cash.
Prerequisites/Corequisites: Prerequisites: CSCI 4230/6230; ECSE 4670 or CSCI 4220 or permission of instructor; also desirable is CSCI 4210.
When Offered: Spring term annually.
Cross Listed: CSCI 4240. Students cannot receive credit for both CSCI 4240 and CSCI 6240.
Credit Hours: 4
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CSCI 6250 - Frontiers of Network Science
This course will offer an introduction to network science and a review of current research in this area. Classes will interchangeably present chapters from the textbook and related current research. The emphasis will be on the mathematical background of network science: graphs and networks; random networks and various types of scale-free networks; network properties such as assortativity, mobility, robustness, social networks, and communities; and dynamics of spreading in networks.
Prerequisites/Corequisites: Prerequisites: CSCI 2300; a 4000-level algorithms-based CSCI course (e.g., 4020, 4260, 4800) or MATH course (e.g., 4100, 4150, 4200, 4210, 4800) course; familiarity with probability, linear algebra, and calculus; or permission of the instructor.
When Offered: Fall term odd-numbered years.
Cross Listed: CSCI 4250. Students cannot receive credit for both CSCI 4250 and CSCI 6250.
Credit Hours: 4
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CSCI 6270 - Computational Vision
The goal of this course is to introduce students to the problems, challenges, and applications of computer vision from a computational perspective. Topics include camera modeling and image formation, feature extraction, object and face recognition, image mosaic construction, stereo and three-dimensional imaging, motion, and tracking. Machine learning methods, including deep convolutional neural networks, will be studied and applied throughout the course.
Prerequisites/Corequisites: Prerequisites: CSCI 2300 and MATH 2010 or permission of instructor.
When Offered: Fall term annually.
Cross Listed: CSCI 4270. Students cannot receive credit for both CSCI 4270 and CSCI 6270.
Credit Hours: 4
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CSCI 6310 - Networking in the Linux Kernel
This course introduces Linux kernel programming basics and starts by examining how Berkeley sockets bridge the user-kernel gap. The remainder of the course is spent looking into transport layer (e.g., TCP) and network layer (e.g., IP) implementations. Students do both individual and group programming projects. In addition to coding, there are detailed write-ups and peer reviews in this course.
Prerequisites/Corequisites: Prerequisites: CSCI 4210 or ECSE 2660.
When Offered: Fall term odd-numbered years.
Cross Listed: CSCI 4310. Students cannot receive credit for both CSCI 4310 and CSCI 6310.
Credit Hours: 4
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CSCI 6340 - Ontologies
This course provides an introduction to ontologies, their uses, and an overview of their application in semantically enabled systems. Ontologies encode term meanings and are used to improve communication and enable computer programs to function more effectively. Class participants learn how to use ontologies in web-based applications and evaluate ontologies for reuse. Participants read relevant papers, learn how to critically review ontology papers and ontologies, and participate in group project(s) designing, using, and evaluating ontologies.
Prerequisites/Corequisites: Prerequisite: CSCI 2300.
When Offered: Spring term annually.
Cross Listed: CSCI 4340. Students cannot receive credit for both CSCI 4340 and CSCI 6340.
Credit Hours: 4
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CSCI 6350 - Data Science
Data science is advancing the inductive conduct of science and is driven by the greater volumes, complexity, and heterogeneity of data being made available over the Internet. It combines aspects of data management, library science, computer science, and physical science. It is changing the way all of these disciplines do both their individual and collaborative work. Key methodologies in application areas based on real research experience are taught.
Prerequisites/Corequisites: Data Structures (CSCI 1200), Database Systems (CSCI 4380) preferred.
When Offered: Fall term annually.
Cross Listed: Cross listed as ITWS 4350/6350, CSCI 4350 and ERTH 4350/6350. Students can obtain credit for only one of these courses.
Credit Hours: 3
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CSCI 6360 - Parallel Computing
A survey of fundamental issues in design of efficient programs for parallel computers. The topics discussed include models of parallel machines and programs, efficiency of parallel algorithms, programming styles for shared memory, message passing, data parallelism, and using MPI in scientific parallel programs. Parallel programming project required.
Prerequisites/Corequisites: Prerequisite: CSCI 4210 or equivalent.
When Offered: Spring term annually.
Cross Listed: CSCI 4320. Students cannot receive credit for both CSCI 4320 and CSCI 6360.
Credit Hours: 4
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CSCI 6370 - Data and Society
Data and Society provides a broad overview of how society is leveraging and responding to the social, organizational, policy, and technical opportunities and challenges of a data-driven world. Course themes focus on various aspects of the data ecosystem, data and innovation, and data and the broader community. Assignments build writing, presentation, and critical thinking and assessment skills, all of which are important for professional success. This is a communication-intensive course.
Prerequisites/Corequisites: CSCI 4350/6350 or ITWS 4350/6350 or permission of instructor.
When Offered: Spring term annually.
Cross Listed: CSCI 4370. Students cannot receive credit for both CSCI 4370 and CSCI 6370.
Credit Hours: 4
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CSCI 6390 - Data Mining
This course will provide an introductory survey of the main topics in data mining and knowledge discovery in databases (KDD), including: classification, clustering, association rules, sequence mining, similarity search, deviation detection, and so on. Emphasis will be on the algorithmic and system issues in KDD, as well as on applications such as Web mining, multimedia mining, bioinformatics, geographical information systems, etc.
Prerequisites/Corequisites: Prerequisites: CSCI 2300.
When Offered: Fall term annually.
Cross Listed: CSCI 4390. Students cannot receive credit for both CSCI 4390 and CSCI 6390.
Credit Hours: 4
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CSCI 6400 - X-informatics
Informatics covers a broad range of disciplines addressing challenges in the explosion of data and information resources. Xinformatics provides commonality for implementations in specific disciplines, e.g. X=astro, geo. Informatics’ theoretical bases are information and computer science, cognitive science, social science, library science, aggregating these studies and adding the practice of information processing, and the engineering of information systems. This course grounds the material that students will learn in discipline areas by coursework and project assignments.
Prerequisites/Corequisites: CSCI 1200 and Data Science (CSCI/ERTH/ITWS 496x/696x).
When Offered: Spring term annually.
Cross Listed: ITWS 4400/6400, CSCI 4400, and ERTH 4400/6400. Students can only obtain credit for one of these courses.
Credit Hours: 3
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CSCI 6430 - Programming Languages
This course is a study of the important concepts found in current programming languages. Topics include language processing (lexical analysis, parsing, type-checking, interpretation and compilation, run-time environment), the role of abstraction (data abstraction and control abstraction), programming paradigms (procedural, functional, object-oriented, logic-oriented, generic), and formal language definition.
Prerequisites/Corequisites: Prerequisite: CSCI 2300 and CSCI 2600.
When Offered: Fall term annually.
Cross Listed: CSCI 4430. Students cannot receive credit for both CSCI 4430 and CSCI 6430.
Credit Hours: 4
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CSCI 6450 - Principles of Program Analysis
The goal of this course is to introduce students to program analysis and its many applications in software engineering, particularly in improving software quality and software productivity. Concretely, students who successfully complete this course should be able to: (1) understand and apply program analysis techniques, such as dataflow analysis and type-based analysis; (2) implement program analysis; (3) understand and apply software testing techniques, such as black-box testing and white-box testing; and (4) understand and apply refactoring techniques.
Prerequisites/Corequisites: Prerequisites: CSCI 4430.
When Offered: Spring term even-numbered years.
Cross Listed: CSCI 4450. Students cannot receive credit for both CSCI 4450 and CSCI 6450.
Credit Hours: 4
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CSCI 6460 - Large-Scale Programming and Testing
This course focuses on software development techniques in support of large-scale software projects and maintenance. Specific topics include various programming paradigms and techniques, approaches to testing and automation, debugging, refactoring, and inheriting code. Individual and team assignments are required, including programming assignments. Project topics include text processing, building a search engine, and the like.
Prerequisites/Corequisites: Prerequisites: CSCI 2300.
When Offered: Fall term annually.
Cross Listed: CSCI 4460. Students cannot receive credit for both CSCI 4460 and CSCI 6460.
Credit Hours: 4
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CSCI 6490 - Robotics II
This course introduces methods that leverage the basic analysis techniques learned in Robotics I to develop numerical and algorithmic techniques needed to endow robots with the “intelligence” to devise strategies to solve problems they will encounter. Once these abilities are sufficiently well developed, robots will become safe and autonomous, thus paving the way for pervasive personal robots. Topics include: configuration space representation, cell decomposition, roadmap methods, rapidly-exploring random trees, simultaneous localization and mapping, contact modeling, grasping, and dexterous manipulation.
Prerequisites/Corequisites: Prerequisite: CSCI 4480.
When Offered: Spring term annually.
Cross Listed: Cross listed with ECSE 6490, CSCI 4490, ECSE 4490.
Credit Hours: 3
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CSCI 6500 - Distributed Computing Over The Internet
This course will enable students to understand and apply theoretical foundations of programming concurrent, distributed, and mobile computing systems, namely process calculi, actors, join calculus, and mobile ambients. In the practical part, students will compare communication and synchronization aspects in concurrent programming languages following these theoretical models. Students will also review current research on distributed computing over the Internet, on topics including but not limited to coordination, mobility, heterogeneity, security, fault tolerance, scalability, programmability, and verification.
Prerequisites/Corequisites: Prerequisites: CSCI 4430 and either CSCI 4210 or CSCI 4220 (or equivalent) or permission of instructor.
When Offered: Spring term annually.
Cross Listed: CSCI 4500. Students cannot receive credit for both CSCI 4500 and CSCI 6500.
Credit Hours: 4
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CSCI 6510 - Distributed Systems and Algorithms
This course explores the principles of distributed systems, emphasizing fundamental issues underlying the design of such systems: communication, coordination, synchronization, and fault-tolerance. Key algorithms and theoretical results will be studied and students will explore how these foundations play out in modern systems and applications.
Prerequisites/Corequisites: Prerequisite: CSCI 4210.
When Offered: Fall term annually.
Cross Listed: CSCI 4510. Students cannot receive credit for both CSCI 4510 and CSCI 6510.
Credit Hours: 4
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CSCI 6530 - Advanced Computer Graphics
In this course, there will be a survey of classic papers and current research in computer graphics. Topics include: advanced ray tracing, global illumination, photon mapping, subsurface scattering, mesh generation and simplification, subdivision surfaces, volumetric modeling, procedural modeling and texturing, weathering, physical simulation, appearance models. Course activities include programming assignments, oral presentations, and a term project. This is a communication-intensive course.
Prerequisites/Corequisites: Prerequisites: CSCI 2300 and CSCI 2600; previous coursework or experience in computer graphics such as ECSE 4750 or computational geometry is recommended.
When Offered: Spring term annually.
Cross Listed: CSCI 4530. Students cannot receive credit for both CSCI 4530 and CSCI 6530.
Credit Hours: 4
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CSCI 6550 - Interactive Visualization
Visualizing data is a key step in understanding many problems. This course is designed to introduce students to methods of visualizing many different types of data, such as images, three-dimensional surfaces, flow fields, and medical data. Both existing visualization software and program custom visualizations using C++ and OpenGL will be used. Course activities include discussion of recent and classic research papers, weekly homework assignments, in-class critiques of visualization artifacts, and a final project to explore creative uses of these techniques. This is a communication-intensive course.
Prerequisites/Corequisites: Prerequisites: CSCI 2300 and CSCI 2600, or permission of instructor.
When Offered: Spring term even-numbered years.
Cross Listed: CSCI 4550. Students cannot receive credit for both CSCI 4550 and CSCI 6550.
Credit Hours: 4
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CSCI 6800 - Computational Linear Algebra
Gaussian elimination, special linear systems (such as positive definite, banded, or sparse), introduction to parallel computing, iterative methods for linear systems (such as conjugate gradient and preconditioning), QR factorization and least squares problems, and eigenvalue problems.
Prerequisites/Corequisites: Prerequisite: MATH 4800 or CSCI 4800 or permission of instructor.
When Offered: Fall term even-numbered years.
Cross Listed: Cross listed as MATH 6800. Students cannot obtain credit for both this course and MATH 6800.
Credit Hours: 4
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CSCI 6820 - Numerical Solution of Ordinary Differential Equations
Numerical methods and analysis for ODEs with applications from mechanics, optics, and chaotic dynamics. Numerical methods for dynamic systems include Runge-Kutta, multistep and extrapolation techniques, methods for conservative and Hamiltonian systems, methods for stiff differential equations and for differential-algebraic systems. Methods for boundary value problems include shooting and orthogonalization, finite difference and collocation techniques, and special methods for problems with boundary or shock layers.
Prerequisites/Corequisites: Prerequisite: MATH 4800 or CSCI 4800 or permission of instructor.
When Offered: Spring term odd-numbered years.
Cross Listed: Cross listed as MATH 6820. Students cannot obtain credit for both this course and MATH 6820.
Credit Hours: 4
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CSCI 6840 - Numerical Solution of Partial Differential Equations
Numerical methods and analysis for linear and nonlinear PDEs with applications from heat conduction, wave propagation, solid and fluid mechanics, and other areas. Basic concepts of stability and convergence (Lax equivalence theorem, CFL condition, energy methods). Methods for parabolic problems (finite differences, method of lines, ADI, operator splitting), methods for hyperbolic problems (vector systems and characteristics, dissipation and dispersion, shocks capturing and tracking schemes), methods for elliptic problems (finite difference and finite volume methods).
Prerequisites/Corequisites: Prerequisite: MATH 4800 or CSCI 4800 or permission of instructor.
When Offered: Fall term odd-numbered years.
Cross Listed: Cross listed as MATH 6840. Students cannot obtain credit for both this course and MATH 6840.
Credit Hours: 4
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CSCI 6860 - Finite Element Analysis
Galerkin’s method and extremal principles, finite element approximations (Lagrange, hierarchical and 3-D approximations, interpolation errors), mesh generation and assembly, adaptivity (h-, p-, hp-refinement). Error analysis and convergence rates. Perturbations resulting from boundary approximation, numerical integration, etc. Time dependent problems including parabolic and hyperbolic PDEs. Applications will be selected from several areas including heat conduction, wave propagation, potential theory, and solid and fluid mechanics.
Prerequisites/Corequisites: Prerequisite: MATH 4800 or CSCI 4800 or permission of instructor.
When Offered: Spring term even-numbered years.
Cross Listed: Cross listed as MATH 6860. Students cannot obtain credit for both this course and MATH 6860.
Credit Hours: 4
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CSCI 6900 - Computer Science Seminar
Presentation of current developments in computer science. Reports by students.
Credit Hours: 1
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CSCI 6940 - Readings in Computer Science
Credit Hours: 1 to 3
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CSCI 6960 - Topics in Computer Science
Credit Hours: 1 to 3
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CSCI 6970 - Professional Project
Active participation in a semester-long project, under the supervision of a faculty adviser. A Professional Project often serves as a culminating experience for a Professional Master’s program but, with departmental or school approval, can be used to fulfill other program requirements. With approval, students may register for more than one Professional Project. Professional Projects must result in documentation established by each department or school, but are not submitted to the Office of Graduate Education and are not archived in the library. Grades of A, B, C, or F are assigned by the faculty adviser at the end of the semester. If not completed on time, a formal Incomplete grade may be assigned by the faculty adviser, listing the work remaining to be completed and the time limit for completing this work.
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CSCI 6980 - Master’s Project
Active participation in a master’s-level project, under the supervision of a faculty adviser, leading to a master’s project report. Grades S or U are assigned at the end of the semester. If recommended by the adviser, the master’s project may be accepted by the Office of Graduate Education to be archived in the library.
Credit Hours: 1 to 9
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CSCI 6990 - Master’s Thesis
Active participation in research, under the supervision of a faculty adviser, leading to a master’s thesis. Grades of S or U are assigned by the adviser each term to reflect the student’s research progress for the given semester. Once the thesis has been presentend, approved by the adviser, and accepted by the Office of Graduate Education, it will be archived in a standard format in the library.
Credit Hours: 1 to 9
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CSCI 9990 - Dissertation
Active participation in research, under the supervision of a faculty adviser, leading to a doctoral dissertation. Grades of IP are assigned until the dissertation has been publicly defended, approved by the doctoral committee, and accepted by the Office of Graduate Education to be archived in a standard format in the library. Grades will then be listed as S.
Credit Hours: Variable
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ECON 1200 - Introductory Economics
This course is designed to introduce a wide variety of concepts and applications in the broad subject of economics, economics being the study of people’s choices. Traditionally, these choices have been framed as how to best employ scarce resources to produce goods and services and distribute them for consumption. To describe these choices the cause will introduce the concepts of opportunity cost, demand and supply theory, and market structures. It will consider the role of government in making resource allocation choices. Students will also study important macroeconomic data such as gross domestic product, economic growth rates, inflation, and unemployment. Additionally, studied will be the role of money and banking in the economy and short-run events such as recessions and expansions. Overall, the course will provide the student with an encompassing view of how economic principles and concepts relate to the broader economy and society.
When Offered: Fall and spring terms annually.
Cross Listed: IHSS 1200.
Credit Hours: 4
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ECON 2010 - Intermediate Microeconomic Theory
This course combines demand, derived from consumer preferences, and supply, based on firms’ production functions, to establish market prices for goods and services. Calculus-based techniques are used to minimize costs and maximize utility and profits across differing industry structures. Product pricing strategies are examined. The course also provides an introduction to topics such as the pricing of stocks and bonds, game theory, positive and negative externalities, asymmetric information, and behavioral economics.
Applies the microeconomic theory of the firm to price, cost, and output decisions of business enterprises under different market structures. Regression analysis of demand and cost, linear programming of production and simulation analysis of risk, and capital budgeting are also presented.
Prerequisites/Corequisites: IHSS 1200 and MATH 1010 or MATH 1500, or permission of instructor.
When Offered: Fall and spring terms annually.
Credit Hours: 4
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ECON 2020 - Intermediate Macroeconomic Theory
Attention is directed primarily to variations in the aggregate volume of output, income, and employment. Cyclical fluctuations and long-term economic trends are examined and the interrelations of business and government policies are analyzed. The applicability of economic theory to the problems of business forecasting is discussed.
Prerequisites/Corequisites: IHSS 1200 and MATH 1010 or MATH 1500, or permission of instructor.
When Offered: Fall and spring terms annually.
Credit Hours: 4
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ECON 2940 - Readings in Economics
Credit Hours: 3 or 4
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ECON 2960 - Topics in Economics
Selected topics in economics designed to acquaint students with modern economic problems and analysis in special areas beyond the introductory level.
Prerequisites/Corequisites: Prerequisite: ECON 1200/IHSS 1200 or equivalent.
Credit Hours: 4
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ECON 4120 - Mathematical Methods in Economics
Application of mathematical techniques to economic modeling and analysis. Construction of models to describe aspects of the economy and to analyze potential policies. Solution methods for issues including optimal choice with and without constraints, equilibria among multiple actors, marginal effects of policies, and dynamic economic models. Some mathematical maturity is assumed, and mathematical skills are taught throughout the course.
Prerequisites/Corequisites: Prerequisite: ECON 2010 or permission of instructor.
When Offered: Fall term annually.
Cross Listed: Cross listed with ECON 6120; students cannot obtain credit for both courses.
Credit Hours: 4
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ECON 4130 - Money and Banking
Financial institutions, especially commercial banking and the Federal Reserve System, are considered from three perspectives: their monetary roles; trends in the economic, organizational, and technological aspects of their operations; and their other economic roles-a critical view. Also, the role of money in macroeconomic theory is considered along with the role of monetary policies in relation to the problems of inflation and unemployment.
Prerequisites/Corequisites: Prerequisite: ECON 1200/IHSS 1200 or permission of instructor.
When Offered: Fall and spring terms annually.
Credit Hours: 4
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ECON 4140 - Structure of Industry: Competition, Innovation, Entrepreneurship, Policy
Acquaints students with the structural characteristics and philosophical foundations of enterprise and industry. Several important industries are considered from the viewpoint of market structure, conduct, and performance. Such concepts as the corporation, entrepreneurial outcomes, technological innovation, private property, and public policy toward business are examined to orient the student to contemporary industrial activity.
Prerequisites/Corequisites: Prerequisite: ECON 2010 or permission of instructor.
When Offered: Upon availability of instructor.
Cross Listed: Cross listed with ECON 6140; students cannot obtain credit for both courses.
Credit Hours: 4
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ECON 4160 - Public Finance
Emphasis is placed on the analysis of efficient resource use in the public sector at the federal level. Expenditure theory, tax incidence, and income distribution policies are discussed. The effects of personal income, corporation, sales, payroll, and property taxes on resource allocation, equity, and growth are considered.
Prerequisites/Corequisites: Prerequisite: ECON 2010 or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 4
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ECON 4180 - Development of Economic Thought
A critical examination in which comparisons are made and contrasts emphasized between different schools of economic thinking such as classicism, marginalism, socialism, institutionalism, neoclassicism, and Keynesianism. Special attention is given to historical theories and attitudes of economists toward technological change and its impact on human welfare.
Prerequisites/Corequisites: Prerequisite: ECON 1200/IHSS 1200 or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 4
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ECON 4190 - International Economics and Globalization
This course investigates the significance of economic globalization, covering the following topics: international trade and financial flows, technological innovation and intellectual property, technology transfer, national government and transnational corporations, natural resources, health and the environment, impacts on selected industries and countries, and roles of the world trade organization and international monetary fund. The major controversies surrounding globalization are identified, and alternative arguments are evaluated based on available evidence.
Prerequisites/Corequisites: Prerequisite: ECON 1200/IHSS 1200 or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 4
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ECON 4210 - Cost-Benefit Analysis
Addresses the identification and measurement of the economic gains and losses to different sectors of the economy resulting from public projects and policies. Among the projects studied are those in the area of transportation, energy, environment, and urban development. Also considered is the evaluation of the effects of government on business, as for example, consumer product and workplace safety regulation.
Prerequisites/Corequisites: Prerequisite: ECON 2010.
When Offered: Upon availability of instructor.
Credit Hours: 4
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ECON 4220 - Applied Game Theory
Game theory has been emerging as a branch of mathematical economics and applied to analyze situations where each decision-maker needs to think strategically about others’ perspectives and actions in order to determine ones’ own optimal choice. This course provides an introduction and presents selected topics in game theory. It will look into basic definitions and equilibrium concepts and develop a wide range of applications in Economics, Biology, sports, health care, and various fields. The goal of the lecture is to improve understanding of strategic interaction in economic, business, and social situations.
Prerequisites/Corequisites: ECON 1200 or IHSS 1200 and MATH 2010.
When Offered: Fall and spring terms annually.
Cross Listed: ECON 6220.
Credit Hours: 4
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ECON 4230 - Environmental Economics
Develops a critical understanding of environmental issues and policy from an interdisciplinary economics perspective. Covers the economics of environmental quality including the links between the economy and the environment, the causes of environmental problems, evaluation of environmental projects and policies, and policies to address environmental issues with an emphasis on efficiency, equity, and sustainability, and the international dimensions of environmental issues.
Prerequisites/Corequisites: Prerequisite: ECON 1200/IHSS 1200 or permission of instructor. ECON 2010 recommended.
When Offered: Upon availability of instructor.
Credit Hours: 4
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ECON 4240 - Natural Resource Economics
Addresses the allocation of natural resources through applied study of fisheries, forestry, oil, minerals, water, and biodiversity resources. Mathematical analysis will be done using Microsoft Excel with Solver. Social and policy dynamics of allocation decisions will be explored through case studies. Field trips will address ecological and physical aspects of resource management. The intent is to develop a balanced perspective and tools to address resource management decisions across their diverse economic, social, and environmental dimensions. This is a communication-intensive course.
Prerequisites/Corequisites: Prerequisite: ECON 1200/IHSS 1200 or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 4
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ECON 4250 - Economy, Technology, and Sustainability
This course explores the relationships between the economy and the material world. It identifies the most critical challenges to sustainable economic development on local to global scales and ways of addressing them. The course examines options surrounding material and energy flows, technological alternatives, livelihoods, consumption behavior, public policy, civil society institutions, and social movements as avenues for meeting the major challenges to sustainability.
Prerequisites/Corequisites: Prerequisites: ECON 1200/IHSS 1200 or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 4
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ECON 4260 - Environmental and Resource Economics
Introduces students to the basic analytical approaches to environmental issues and natural resource use. Emphasis is on economic valuation and public policy. Covers traditional approaches based on assumptions of economic rationality and market efficiency as well as current approaches from the fields of environmental science behavioral economics. Emphasis is on active student participation and examination of current environmental controversies.
Prerequisites/Corequisites: Prerequisite: ECON 2010 or equivalent or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 4
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ECON 4280 - Econometric Methods for Big Data
Examine advanced econometric and statistical methods for the analysis of high-dimensional data, otherwise known as “Big Data.” In this setting, detailed information for each unit of observation informs machine learning techniques such as classification and regression trees; random forests; penalized regressions; and boosted estimation. These prediction methods are then utilized to improve causal modeling, with applications in the study of healthcare demand and supply modeling, and behavior of consumers and businesses.
Prerequisites/Corequisites: ECON 1200 or IHSS 1200, and MATH 1500 or MATH 1010, and ENGR 2600, MGMT 2100, MATP 4600, or PSYC 2310.
When Offered: Fall and spring terms annually.
Cross Listed: ECON 6280.
Credit Hours: 4
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ECON 4290 - Economics of Biotech and Medical Innovations
Students will learn about markets related to healthcare, insurance, biopharmaceuticals, and medical devices. Examine economic issues, models and quantitative analysis related to firms’ activities in areas such as innovation, R&D expenditures, patenting, pricing, mergers and acquisitions, and competition in markets. Examine the role played by health insurance systems. Study the economic implications of regulations, such as those by the U.S. FDA. Economic and policy aspects will be examined within the context of the U.S. healthcare sector, along with selected comparisons to European national healthcare systems.
Prerequisites/Corequisites: ECON 1200 or IHSS 1200.
When Offered: Spring term annually.
Cross Listed: ECON 6290.
Credit Hours: 4
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ECON 4320 - Economic Models of Decision-Making
An exploration of models of decision-making under alternative assumptions, expanding on “rational” models of introductory economics. The course will discuss the assumptions of these standard models and their shortcomings. The shortcomings will be addressed through the exploration of limited attention and considerations of fairness, uncertainty, and strategic interaction. Applications in areas such as consumer and household finance, marketing, and public policy will be emphasized throughout.
Prerequisites/Corequisites: ECON 1200 or IHSS 1200.
When Offered: Fall and spring terms annually.
Credit Hours: 4
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ECON 4340 - Behavioral Financial Economics
This course describes how individuals and firms make financial decisions, and how those decisions might deviate from those predicted by traditional financial or economic theory. The course examines how the insights of behavioral economics complement the traditional finance paradigm by introducing some of the main psychological biases in financial decision-making and examining the impacts of these biases in financial markets and other financial settings. It will also introduce students to behavioral and experimental methodologies in finance, economics, and other disciplines.
Prerequisites/Corequisites: ECON 1200 or IHSS 1200, and an approved statistics course: ENGR 2600, MGMT 2100, MATP 4600, or PSYC 2310.
When Offered: Fall and spring terms annually.
Cross Listed: ECON 6340.
Credit Hours: 4
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ECON 4350 - Microeconomics of Decision-Making
This course will examine alternative models of economic and non-economic decision-making. The course will cover models of rational decision-making under certainty and uncertainty, bounded rationality, preference-based approaches (e.g., loss aversion, ambiguity aversion, disappointment aversion), and heuristic decision-making. The emphasis throughout will be on the proper interpretation of more general models of decision-making as well as real-world applications.
Prerequisites/Corequisites: ECON 2010 or ECON 2020 and MATH 2010.
When Offered: Spring term annually.
Cross Listed: ECON 6350.
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ECON 4570 - Econometrics
This course is an introduction to econometric data analysis. The statistical methods covered enable analysis of relationships between variables in data, with special attention to identification of true casual effects. Topics covered include linear and simple nonlinear regression models, internal and external validity, methods for panel data and binary dependent variables, instrumental variable methods, use of experimental and quasi-experimental data, and basic time series methods. The course included hands-on data analysis and report writing.
Prerequisites/Corequisites: Prerequisites: MATH 2010 or equivalent, ECON 2010 or equivalent, and approved statistics course or permission of instructor.
When Offered: Fall and spring terms annually.
Cross Listed: Cross listed with ECON 6560; students cannot obtain credit for both courses.
Credit Hours: 4
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ECON 4900 - Seminar in Economics
Discussion and analysis of selected topics in economic theory and of current economic issues. This is a communication-intensive course.
Prerequisites/Corequisites: Prerequisite: ECON 4570.
When Offered: Fall and spring terms annually.
Credit Hours: 2 to 4
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ECON 4940 - Readings in Economics
Credit Hours: 3 to 4
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ECON 4960 - Topics in Economics
Selected topics in economic analysis and problems to meet the special needs of upper-division students in various curricula throughout the Institute. This allows students to pursue more in-depth work in their areas of study.
Prerequisites/Corequisites: Prerequisites: ECON 1200/IHSS 1200 and permission of instructor.
Credit Hours: 4
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ECON 6020 - Advanced Data Analytics and Policy Evaluation
Covers advanced estimation and inference techniques for data analysis and policy evaluation. Topics will vary from year to year to introduce advanced statistical methods used in recent literature. Topics may include visualization techniques to summarize and display high dimensional data, selected topics in discrete choice models, spatial analysis, and analysis of panel data. Particularly, methods for panel data will be emphasized. This includes fixed, random, mixed, and multi-level effects models to control for or account for variation from individual characteristics. Dynamic panel data models consider lagged dependent variables as regressors…..
Prerequisites/Corequisites: ECON 6030 or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 3
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ECON 6120 - Advanced Mathematical Methods in Economics
Mathematical techniques applied to theoretical models in economics. Reviews and introduces core mathematical topics at the graduate economics level, applied to topics such as optimal behaviors of economics agents, equilibria among multiple interacting agents, economics growth processes and inter-temporal decision making, decision making in stochastic environments, and techniques to develop and work with economic models. Assumes thorough knowledge of calculus and some familiarity with linear algebra and probability theory.
When Offered: Fall term annually.
Cross Listed: Cross listed with ECON 4120; students cannot obtain credit for both courses.
Credit Hours: 3
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ECON 6130 - Economics of Growth and Innovation
Dynamic models of national and international economic growth are introduced and analyzed. Technological innovation is central to growth, and models consider the endogenous determinants of technological innovation and diffusion. National institutions that affect growth, such as law, education, and infrastructure, are considered. Variation in intellectual property rights across countries are examined, together with their effects on economic growth and development. Theories of growth are compared to empirical fact.
When Offered: Spring term annually.
Credit Hours: 3
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ECON 6140 - Advanced Structure of Industry
An advanced analysis of current problems confronting major American industries, regulated and unregulated. Recent changes in growth patterns, market structures, and pricing policies are examined. Considerable emphasis is placed on emerging trends in technology and public policy, which are likely to affect significantly the future of these industries.
Prerequisites/Corequisites: Prerequisites: ECON 2010 or permission of instructor.
When Offered: Upon availability of instructor.
Cross Listed: Cross listed with ECON 4140; students cannot obtain credit for both courses.
Credit Hours: 3
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ECON 6150 - Advanced Economics of Government Regulation and Firm Strategy
Can government intervention improve the performance of private markets and if so, when and how? How is regulatory policy actually made, and what effects has it had? These questions are applied to the experience in the U.S. and elsewhere with telecommunications, electricity, transportation, financial services, job safety, health, and environmental regulation.
Prerequisites/Corequisites: Prerequisite: ECON 2010 or IHSS 1200 or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 3
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ECON 6160 - Advanced Public Finance
Emphasis is placed on the analysis of efficient resource use in the public sector at the federal level. Expenditure theory and tax incidence are discussed. The effects of personal income, corporation, sales, payroll, and property taxes on resource allocation, equity, growth, and technological change are considered.
Prerequisites/Corequisites: Prerequisite: ECON 2010 or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 3
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ECON 6190 - Advanced International Economics and Globalization
This course investigates the significance of economic globalization, covering the following topics: international trade and financial flows, technological innovation and intellectual property, technology transfer, national governments and transnational corporations, natural resources, health and the environment, impacts on selected industries and countries, and roles of the World Trade Organization and International Monetary Fund. The major controversies surrounding globalization are identified, and alternative arguments are evaluated based on available evidence.
When Offered: Upon availability of instructor.
Credit Hours: 3
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ECON 6210 - Advanced Cost-Benefit Analysis
The techniques necessary to appraise the economic desirability and private-sector impact of various public projects and policies are studied. Concepts such as discounting, capital rationing, project selection, shadow pricing, risk assessment, unpriced goods, and economic surplus are developed. Among the topics from which illustrative case studies are drawn are urban and transport planning, energy, water resources, government regulation, and the environment. Suitable for graduate students in professional programs.
Prerequisites/Corequisites: Prerequisite: ECON 6490 or ECON 2010.
When Offered: Upon availability of instructor.
Credit Hours: 3
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ECON 6220 - Applied Game Theory
Game theory has been emerging as a branch of mathematical economics and applied to analyze situations where each decision-maker needs to think strategically about others’ perspectives and actions in order to determine ones’ own optimal choice. This course provides an introduction and presents selected topics in game theory. Students will look into basic definitions and equilibrium concepts and develop a wide range of applications in Economics, Biology, sports, health care, and various fields. The goal of the lecture is to improve understanding of strategic interaction in economic, business, and social situations.
When Offered: Fall and spring terms annually.
Cross Listed: ECON 4220.
Credit Hours: 4
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ECON 6240 - Advanced Natural Resource Economics
Addresses the allocation of natural resources through applied study of fisheries, forestry, oil, minerals, water, and biodiversity resources. Mathematical analysis will be done using Microsoft Excel with Solver. Social and policy dynamics of allocation decisions will be explored through case studies. Field trips will address ecological and physical aspects of resource management. The intent is to develop a balanced perspective and tools to address resource management decisions across their diverse economic, social, and environmental dimensions.
When Offered: Upon availability of instructor.
Credit Hours: 3
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ECON 6270 - Behavioral Economics
Integrates theory from psychology, neuroscience, and other social sciences into traditional economic models of human behavior. By relaxing the standard assumptions of perfect rationality and selfishness, more realistic modeling features such as loss aversion, present-bias, social norms, and habit formation improve economic analyses. These techniques are used to analyze individuals’ health behaviors, health insurance markets, and healthcare policy.
When Offered: Fall and spring terms annually.
Cross Listed: ECON 4270.
Credit Hours: 3
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ECON 6280 - Econometric Methods for Big Data
Examine advanced econometric and statistical methods for the analysis of high-dimensional data, otherwise known as “Big Data.” In this setting, detailed information for each unit of observation informs machine learning techniques such as classification and regression trees; rECandom forests; penalized regressions; and boosted estimation. These prediction methods are then utilized to improve causal modeling, with applications in the study of healthcare demand and supply modeling, and behavior of consumers and businesses.
When Offered: Fall and spring terms annually.
Cross Listed: ECON 4280.
Credit Hours: 3
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ECON 6290 - Economics of Biotech and Medical Innovations
Students will learn about markets related to healthcare, insurance, biopharmaceuticals, and medical devices. Examine economic issues, models and quantitative analysis related to firms’ activities in areas such as innovation, R&D expenditures, patenting, pricing, mergers and acquisitions, and competition in markets. Examine the role played by health insurance systems. Study the economic implications of regulations, such as those by the U.S. FDA. Economic and policy aspects will be examined within the context of the U.S. healthcare sector, along with selected comparisons to European national healthcare systems.
When Offered: Spring term annually.
Cross Listed: ECON 4290.
Credit Hours: 3
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ECON 6340 - Behavioral Financial Economics
This course describes how individuals and firms make financial decisions, and how those decisions might deviate from those predicted by traditional financial or economic theory. The course examines how the insights of behavioral economics complement the traditional finance paradigm by introducing some of the main psychological biases in financial decision-making and examining the impacts of these biases in financial markets and other financial settings. It will also introduce students to behavioral and experimental methodologies in finance, economics, and other disciplines.
When Offered: Fall and spring terms annually.
Cross Listed: ECON 4340.
Credit Hours: 3
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ECON 6350 - Microeconomics of Decision-Making
This course will examine alternative models of economic and non-economic decision-making. The course will cover models of rational decision-making under certainty and uncertainty, bounded rationality, preference-based approaches (e.g., loss aversion, ambiguity aversion, disappointment aversion), and heuristic decision-making. The emphasis throughout will be on the proper interpretation of more general models of decision-making as well as real-world applications.
Cross Listed: ECON 4350.
Credit Hours: 3
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ECON 6360 - Experimental Economics
This course explores human motivation and behavior across different settings and experimental paradigms. The course familiarizes students with previous work in selected topics in behavioral and experimental economics such as charitable giving, individual decision making and preferences, health, scarcity, and worker motivation. It also prepares students to design, implement and analyze their own economics experiments.
When Offered: Spring term annually.
Cross Listed: ECON 4360.
Credit Hours: 3
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ECON 6490 - Introduction to Economic Theory
The course examines the basic concepts and techniques of economic analysis and their applications to economics problems at the level of the firm, industry, and economy as a whole. Topics include theory of product and factor pricing, national income and employment theory, monetary and fiscal theories, economic growth and fluctuations.
When Offered: Upon availability of instructor.
Credit Hours: 3
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ECON 6550 - Microeconomics I
The central propositions of contemporary economic analysis are discussed. Topics include individual decision-making, consumption, production, the interaction of firms and households, competitive equilibrium, general equilibrium theory, welfare theorems, externalities, uncertainty, and the implications for economic policy.
Prerequisites/Corequisites: Ph.D. student status or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
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ECON 6560 - Introduction to Econometrics
This course is an introduction to econometric data analysis. The statistical methods covered enable analysis of relationships between variables in data, with special attention to identification of true causal effects. Topics covered include linear and simple nonlinear regression models, internal and external validity, methods for panel data and binary dependent variables, instrumental variables methods, use of experimental and quasi-experimental data, and basic time series methods. The course includes hands-on data analysis and report writing.
Prerequisites/Corequisites: Prerequisite: MATH 2010 or equivalent, ECON 2010 or equivalent, and approved statistics course or permission of instructor.
When Offered: Fall and spring terms annually.
Cross Listed: Cross listed with ECON 4570; students cannot obtain credit for both courses.
Credit Hours: 3
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ECON 6580 - Topics in Applied Econometrics
Applications of advanced econometric techniques such as two-and three-stage least squares, maximum likelihood, seemingly unrelated regression, full information likelihood, distributed lags, and autocorrelation correction to a variety of business and economic problems, including the capital asset pricing model, learning curve, economies of scale, hedonic price indexes, investment, production, and limited dependent variable models.
Prerequisites/Corequisites: Permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 3
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ECON 6590 - Advanced Macroeconomic Analysis
This course examines theory of national income determination, the role of monetary and nonmonetary factors in this economic system as described by various schools of macroeconomics. Alternative perspectives on monetary and fiscal policies are critically examined.
Prerequisites/Corequisites: Prerequisite: ECON 2020 or ECON 6490 or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 3
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ECON 6720 - Microeconomics II
Topics include market power, adverse selection, moral hazard, signaling, screening, mechanism design, externalities, public goods, information economics, and principal-agent problems. Implications for economic policy are also considered.
Prerequisites/Corequisites: Permission of instructor.
When Offered: Spring term annually.
Credit Hours: 3
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ECON 6730 - Econometrics I
Theoretical treatment of economic statistics. Topics include a rigorous treatment of set theory and fundamentals of probability theory, statistical estimation and hypothesis testing, analysis of variance, and regression. Also includes advanced topics such as maximum likelihood, generalized method of moments, empirical likelihood, and bootstrap, as well as finite-sample analysis and large-sample asymptotics.
Prerequisites/Corequisites: Ph.D. student status or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
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ECON 6740 - Econometrics II
Statistical methods are developed for classic linear and non-linear regression analysis. Econometric tools such as instrumental variables, regression discontinuity, and difference-in-differences are emphasized for causal identification. Extensions are made to new topics such as simulation-based methods including bootstrap, nonparametric and semiparametricestimators, and quantileregression methods.
Prerequisites/Corequisites: ECON 6730 or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 3
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ECON 6750 - Economic Data Analytics and Modeling I
Develops econometric models for causal inference using tools for big data. Machine learning and other resource-intensive modeling techniques are integrated into traditional economic approaches. Also covers procedures for the development, processing, and combination of novel data sources; methods to process extremely large datasets; data exploration and development tools; nonparametric methods. Economics applications are considered throughout.
Prerequisites/Corequisites: ECON 6740 or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
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