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Rensselaer Catalog 2022-2023 [Archived Catalog]
Courses
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ISYE 2530 - Information and Data Systems
This course covers the design and implementation of computer-based systems to support the collection, organization and analysis of data and information. Topics include theory and techniques for transforming raw data from various sources into structured and usable information; the role of information and data systems in the engineering enterprise; and approaches to interacting with computer-based information systems to support decision making.
Prerequisites/Corequisites: Prerequisite: CSCI 1100 .
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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ISYE 2940 - Readings in ISYE
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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ISYE 2960 - Topics in ISYE
Credit Hours: 4
Credit Hours: 4 |
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ISYE 4140 - Statistical Analysis
Review of simple and multiple regression, selection procedures, regression diagnostics, residual analysis, stepwise regression, analysis of variance, design of experiments including factorial experiments, analysis of ordinal data and nonparametric inference, basic time series models. Extensive use of statistical software. Emphasis on statistical applications to industrial engineering.
Prerequisites/Corequisites: Prerequisites: ENGR 2600 or MATP 4600 and knowledge of calculus.
When Offered: Spring and Summer terms annually.
Credit Hours: 4
Credit Hours: 4 |
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ISYE 4200 - Design and Analysis of Work Systems
Analysis and design of work and workplace. Topics covered include human-machine systems, ergonomics, work measurement systems, methods and standards, process design, direct time study, standard time data, predetermined time systems, work sampling, work load balancing, and workplace layout. Computer-based analysis of problems in work systems.
Prerequisites/Corequisites: Prerequisite: ENGR 2600 or equivalent.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4210 - Design and Analysis of Supply Chains
An overview of the principles involved in the design and operation of supply chains with applications to manufacturing and service industries. Topics include dynamics of manufacturing systems and supply chains, lean manufacturing, lead time reduction in manufacturing and office operations, advanced pull systems, concurrent design of products and supply chains, rapid new product introduction, remanufacturing and reverse supply chains, and integration of information technology in supply chain operations. The goal of the course is to enable students to synthesize models and tools and to understand how these could be applied to address emerging challenges in manufacturing and service systems and their supply chains.
Prerequisites/Corequisites: Prerequisites: ISYE 2210 or MGMT 4110 , and ENGR 2600 or MGMT 2100 or equivalent.
When Offered: Fall terms annually.
Cross Listed: Co-listed with ISYE 6600 . Students cannot earn credit for both ISYE 4210 and ISYE 6600 .
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4220 - Optimization Algorithms and Applications
Design, analysis, and implementation of algorithms for combinatorial optimization problems. Introduction to theoretical analysis of algorithms and applications that can be formulated as combinatorial optimization problems. Specific topics include complexity analysis, network flow problems, traveling salesperson problems, matching problems, knapsack problems, and greedy algorithms. Implementation of combinatorial algorithms in a commercial software language. An introduction to this software language will be given at the beginning of the course.
Prerequisites/Corequisites: Prerequisites: ISYE 4600 or equivalent.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4230 - Quality Control
The statistical approach to manufacturing quality control is emphasized. Consideration is given to the managerial implications and responsibilities in implementing the statistical approach. Topical coverage includes construction and interpretation of various control charts; special control charts (e.g., CUSUM, EWMA); graphical methods; specifications, tolerance limits, process capability indices; acceptance sampling; discussion of experimental design; and Taguchi methods of quality improvement.
Prerequisites/Corequisites: Prerequisites: ISYE 4140 or ISYE 4760 (MATP).
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4240 - Engineering Project Management
Planning, controlling, and evaluating engineering projects. Use of network analysis techniques, PERT/CPM, budget control, time/cost tradeoff, time estimation, resource allocation, and resource leveling. Extensions include probabilistic models, multiple resource models, project organization, risk analysis, technical forecasting, and network theory. Students cannot obtain credit for both this course and ENGR 4750 .
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4250 - Facilities Design and Industrial Logistics
An in-depth study of the major design issues in location and physical configuration of production and service facilities. The course emphasizes the use of mathematical models, computer modeling, and quantitative analysis as aids to the design process. Topics include plant layout and location, material handling, material flow analysis, and distribution systems. Major course concepts are developed through case studies and projects.
Prerequisites/Corequisites: Prerequisites: ISYE 2210 or equivalent, and an introductory operations research course.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4260 - Human Performance Modeling and Support
This course introduces methods, tools, and technologies for describing human performance via various types of models, and supporting this performance via tools and advanced technologies. The course is hands-on, involving student projects that investigate human performance in challenging domains as well as direct engagement with technologies for decision support.
Prerequisites/Corequisites: Prerequisite: ENGR 2600 .
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4270 - Multidisciplinary Capstone Design
A capstone design experience that engages students from biomedical, computer systems, electrical, industrial, materials, and mechanical engineering on teams in an open-ended engineering design problem in preparation for professional practice. With the guidance of a multidisciplinary team of faculty members and instructional support staff, students apply knowledge and skills from prior coursework. This is a communication-intensive course.
Prerequisites/Corequisites: Prerequisite: ENGR 2050 or MANE 2220 , and senior standing.
When Offered: Fall and spring terms annually.
Cross Listed: MANE 4220 . Students cannot obtain credit for this course and MANE 4220 .
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4280 - Decision Focused Systems Engineering
The objective of this course is to introduce students to systems engineering, especially from a decision-focused perspective. System concepts, methodologies, models, and analysis are covered in relation to a system’s design, development, test, evaluation, and operation. Decisions concerning a system’s reliability, maintainability, usability, disposability, and affordability are systematically considered. A range of systems, including service systems, is also considered.
Prerequisites/Corequisites: Prerequisites: ENGR 2600 .
When Offered: Upon availability of instructor
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4290 - Discrete Event Simulation Modeling and Analysis
Introduction to discrete-event simulation modeling and analysis techniques including; graphical simulation modeling approaches, animation techniques, modeling large-scale and complex systems, pseudo-random number and random variate generation, stochastic processes, input modeling (data collection, analysis, and fitting distribution), output analysis (initial bias and termination bias, variance reduction techniques), sensitivity analysis, design of experiments, interactive simulation-based decision-support systems.
Prerequisites/Corequisites: Prerequisites: ISYE 4140 or equivalent and CSCI 1100 or permission of instructor.
When Offered: Spring terms annually.
Cross Listed: Co-Listed with ISYE 6620 . Students cannot get credit for both ISYE 4290 and ISYE 6620 .
Credit Hours: 4
Credit Hours: 4 |
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ISYE 4300 - Complex Systems Models for Industrial and Systems Engineering
This course introduces simulation-based modeling methods for complex systems frequently encountered and used by industrial and systems engineers. Examples include production systems, queuing networks, communication systems, healthcare systems, supply chains, social networks, transportation systems, and financial markets. This course introduces techniques including discrete-event simulation and agent-based simulation for modeling and analyzing interdependent, interacting, and coupling variables, agents, components, and related subsystems.
Prerequisites/Corequisites: Prerequisite: ISYE 4290 .
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4310 - Ethics of Modeling for Industrial and System Engineering
This course introduces students to past, current, and future issues in the ethics of information technology, and encourages students to develop their own standpoint from which to address the diverse range of ethical challenges faced in the information age. During the course, students will learn about a wide range of ethical theories, and then will apply these theories to address ethical dilemmas in creating models for decision support using an educational computer simulation.
Prerequisites/Corequisites: ISYE 1100 or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4320 - Theory of Production Scheduling
Problems of scheduling several tasks over time. Topics include measures of performance, single machine sequencing, flowshop scheduling, the job shop problem, and priority dispatching. Integer programming, dynamic programming, and heuristic approaches to various problems are also presented.
Prerequisites/Corequisites: Prerequisite: ISYE 4600 .
When Offered: Upon availability of instructor.
Cross Listed: ISYE 6210 . Students cannot get credit for both ISYE 4320 and ISYE 6210 .
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4330 - Design of Experiments
Methods of designing experiments so that statistical analysis of the resulting data will yield the maximum useful information. Testing of hypotheses; analysis of variance and covariance. Various designs, including the factorial and its modifications, incomplete blocks, Latin squares, and response surface designs are covered. Also discussed are optimality properties of design.
Prerequisites/Corequisites: ISYE 4140 or MATP 4600 and ISYE 4760 (MATP 4620 ) or permission of the instructor.
When Offered: Upon availability of instructor.
Cross Listed: ISYE 6020 .
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4340 - Cyber-Physical Systems
An introduction to Cyber-Physical Systems (CPS) focuses on mechanisms that are controlled or monitored by computer-based algorithms, tightly integrated with the physical environment or a biological system. This course provides a step-by-step approach to one of those systems (e.g., brain-machine interfaces) to emphasize the importance of interdisciplinary work and understanding of the system as a whole.
Prerequisites/Corequisites: MATH 1020 and ENGR 2600 .
When Offered: Upon availability of instructor
Cross Listed: ISYE 6340 . Students cannot earn credit for both ISYE 4340 and ISYE 6340
Credit Hours: 4
Credit Hours: 4 |
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ISYE 4350 - Systems Engineering and Social Media
An introduction to social media analytics. Topics include obtaining and processing social media data, social network analysis, content analysis, descriptive, predictive, and prescriptive analytics using social media, ethical aspects of social media analytics.
When Offered: Upon availability of instructor.
Cross Listed: Co-Listed with ISYE 6350 . Students cannot earn credit for both ISYE 4350 and ISYE 6350 .
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4360 - Applied Data Science
This engineering course is an introduction to the fundamental concepts of machine learning in a lab-like environment. The course is structured in three main parts that mimic the daily workflow of a data scientist in a real organization: (i) data preparation; (ii) machine learning algorithms; and (iii) data visualization and decision making.
Prerequisites/Corequisites: probability and statistics (e.g., ENGR 2600 or MATP 4600 ), calculus, linear algebra and programming (e.g., MATH 1020 or CSCI 1100 ).
When Offered: Upon availability of instructor.
Credit Hours: 4
Credit Hours: 4 |
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ISYE 4400 - Management of Engineering and Technology
The study of the link between engineering, and management. Students will gain an in-depth understanding of the foundations of engineering management. Topics covered include the concept of engineering management, its relationship to engineering, and its historical underpinnings, the traditional roles of management with particular emphasis on leadership skills to manage projects and processes, as well as the organizational and administrative abilities required to oversee the day-to-day operational performance of complex engineering. The ethical dimensions of the organization and the engineering community are also explored.
Prerequisites/Corequisites: None
When Offered: On Availability of Instructor
Credit Hours: 4
Credit Hours: 4 |
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ISYE 4440 - Management of Engineering and Technology
The study of the link between engineering, and management. Students will gain an in-depth understanding of the foundations of engineering management. Topics covered include the concept of engineering management, its relationship to engineering, and its historical underpinnings, the traditional roles of management with particular emphasis on leadership skills to manage projects and processes, as well as the organizational and administrative abilities required to oversee the day-to-day operational performance of complex engineering. The ethical dimensions of the organization and the engineering community are also explored.
Prerequisites/Corequisites: None.
When Offered: On Availability of Instructor
Credit Hours: 4
Credit Hours: 4 |
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ISYE 4600 - Operations Research Methods
An introduction to commonly used methods of deterministic and stochastic operations research. Topics include linear programming, simplex algorithms, duality, linear networks, integer programming, dynamic programming, goa1 programming, location models, exact and heuristic solution procedures for integer and sequencing problems, queuing theory, Markov chains, multi-criteria decision making, and decision analysis. Students cannot get credit for both ISYE 4600 and ISYE 6610 .
Prerequisites/Corequisites: Prerequisites: ENGR 2600 and MATH 1020 .
When Offered: Summer and fall terms annually.
Credit Hours: 4
Credit Hours: 4 |
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ISYE 4760 - Mathematical Statistics
A course in the theory of statistics which will provide students with a basic foundation for more specialized statistical methodology courses. Topics include sampling and sampling distributions; point estimation including method of moments, maximum likelihood estimation, uniform minimum variance estimation and properties of the associated estimators; confidence intervals; hypothesis testing including uniformly most powerful, likelihood ratio approaches, chi-square tests for goodness-of-fit and independence. The course will conclude with an introduction to linear statistical models.
Prerequisites/Corequisites: Prerequisite: MATP 4600 or equivalent calculus-based course.
When Offered: Upon availability of instructor.
Cross Listed: Cross listed as MATP 4620 . Students cannot obtain credit for both this course and MATP 4620 .
Credit Hours: 4
Credit Hours: 4 |
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ISYE 4810 - Computational Intelligence
With ever-increasing computer power readily available, new engineering methods based on “soft computing” are emerging at a rapid rate. This course provides students a working knowledge in computational intelligence covering the basics of fuzzy logic, neural networks, genetic algorithms, simulated annealing, wavelet analysis, fractal structures, and chaotic time series analysis. Applications in control, optimization, data mining, fractal image compression, and time series analysis are illustrated with engineering case studies.
When Offered: Upon availability of Instructor.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 4940 - Readings in ISYE
Credit Hours: 1 to 6
Credit Hours: 1 to 6 |
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ISYE 4960 - Topics in ISYE
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6010 - Applied Regression Analysis
Emphasis is on empirical model building and evaluation for both multiple linear and nonlinear regression models. Topics specifically addressed are simultaneous estimation, diagnostics and remedial measures, selection procedures, locally weighted least squares classification variables, binary response variables, time series data, nonlinear estimation, software packages.
Prerequisites/Corequisites: Prerequisites: ISYE 4140 or MATP 4600 and ISYE 4760 (MATP 4620 ) or permission of the instructor.
When Offered: Upon sufficient demand.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6020 - Design of Experiments
Methods of designing experiments so that statistical analysis of the resulting data will yield the maximum useful information. Testing of hypotheses; analysis of variance and covariance. Various designs, including the factorial and its modifications, incomplete blocks, Latin squares, and response surface designs are covered. Also discussed are optimality properties of design.
Prerequisites/Corequisites: Prerequisites: ISYE 4140 or MATP 4600 and ISYE 4760 (MATP 4620 ) or permission of the instructor.
When Offered: Upon sufficient demand.
Cross Listed: ISYE 4330 .
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6100 - Time Series Analysis
Study of time series data for both description and prediction. Main emphasis on the classical Box-Jenkins approach to model identification, estimation, and diagnosis. Includes an introduction to spectral analysis. Applications to real data series, including forecasting problems and empirical comparison of alternative approaches. Use of computer packages for time series analysis.
Prerequisites/Corequisites: Prerequisite: ISYE 4760 (MATP 4620 ) or equivalent.
When Offered: Upon sufficient demand.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6180 - Knowledge Discovery with Data Mining
Data mining is the computationally intelligent extraction of information from large databases. It is the process of automated presentation of patterns, rules, and functions from large data bases to make crucial business decisions. This course takes a multi-disciplinary approach to data mining and knowledge discovery involving statistics, rule and tree induction, neural networks, genetic algorithms, visualization and fuzzy logic. The course is project driven and puts a special emphasis on the use of computational intelligence for scientific data mining related to drug design and bioinformatics.
Prerequisites/Corequisites: Prerequisite: ENGR 2600 or equivalent introductory course in statistics.
When Offered: Upon sufficient demand.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6190 - Introduction to Big Data Analytics
Big Data Analytics is the automated process for finding interesting, actionable information from large amounts of data. This course emphasizes the evolution from machine learning to big data analytics. Topics include data-driven science and engineering, basic data mining, machine learning approaches for big data, artificial neural networks, time series analysis and deep learning. There is a special emphasis on the use of scriptable code for Big Data Analytics.
Prerequisites/Corequisites: An introductory statistics course.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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Credit Hours: 3 |
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ISYE 6340 - Cyber-Physical Systems
An introduction to Cyber-Physical Systems (CPS) focuses on mechanisms that are controlled or monitored by computer-based algorithms, tightly integrated with the physical environment or a biological system. This course provides a step-by-step approach to one of those systems (e.g., brain-machine interfaces) to emphasize the importance of interdisciplinary work and understanding of the system as a whole.
Prerequisites/Corequisites: MATH 1020 and ENGR 2600 .
When Offered: Upon availability of instructor.
Cross Listed: Co-Listed: ISYE 4340 . Students cannot earn credit for both ISYE 4340 and ISYE 6340
Credit Hours: 4
Credit Hours: 4 |
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ISYE 6350 - Systems Engineering and Social Media
An introduction to social media analytics. Topics include obtaining and processing social media data, social network analysis, content analysis, descriptive, predictive, and prescriptive analytics using social media, ethical aspects of social media analytics.
When Offered: Upon availability of instructor.
Cross Listed: Co-Listed with ISYE 4350 . Students cannot earn credit for both ISYE 6350 and ISYE 4350
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6600 - Design of Manufacturing System Supply Chains
Dynamics of manufacturing systems and supply chains, lean manufacturing, lead time reduction in manufacturing and service operations, advanced pull systems, concurrent design of products and supply chains, rapid new product introduction, remanufacturing and reverse supply chains, and integration of information technology in supply chain operations. Analysis of models and their application to design and planning problems in manufacturing as well as service systems is emphasized.
Prerequisites/Corequisites: Prerequisites: ISYE 4140 (or equivalent) or permission of instructor.
When Offered: Fall terms annually.
Cross Listed: Co-listed with ISYE 4210 . Students cannot earn credit for both ISYE 4210 and ISYE 6600.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6610 - Systems Modeling in Decision Sciences
Survey of decision science methodologies in the context of technical and economic decision problems. The course seeks to develop a conceptual understanding of these methods and basic implementation skills. Students will learn how to apply decision science methods from problem recognition and data development through problem formulation and computer solution. Students cannot get credit for both ISYE 4600 and ISYE 6610.
Prerequisites/Corequisites: Prerequisite: ISYE 4140 or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6620 - Discrete-Event Simulation
A thorough development of a simulation language is stressed in order to progress through a series of increasingly sophisticated applications of computer simulation. Projects cover a wide range of topics: production systems, inventory, finance, transportation, and public systems. The course includes model development, statistical analysis of simulation input/output data, validation planning, and managing simulation projects.
Prerequisites/Corequisites: Prerequisite: ISYE 4140 or equivalent.
When Offered: Spring terms annually.
Cross Listed: Co-Listed with ISYE 4290 students cannot get credit for both ISYE 4290 and ISYE 6620.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6760 - Integer and Combinatorial Optimization
Review of exact and heuristic methods for solving discrete problems, including the traveling salesman problem, the knapsack problem, packing and covering problems. Algorithm complexity and NP-completeness, cutting plane methods and polyhedral theory, branch and bound, simulated annealing, tabu search, Lagrangian duality.
Prerequisites/Corequisites: Prerequisite: introductory course in operations research.
When Offered: Spring term odd-numbered years.
Cross Listed: Cross listed as MATP 6620 . Students cannot obtain credit for both this course and MATP 6620 .
Credit Hours: 4
Credit Hours: 4 |
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ISYE 6770 - Linear and Conic Optimization
A unified development of linear systems and linear programming, polyhedral theory, the simplex method, interior point methods, decomposition methods for large scale linear programming problems, the ellipsoid method, column generation algorithms for stochastic programming and other problems.
Prerequisites/Corequisites: Prerequisite: introductory course in operations research.
When Offered: Spring term even-numbered years.
Cross Listed: Cross listed as MATP 6640 . Students cannot obtain credit for both this course and MATP 6640 .
Credit Hours: 4
Credit Hours: 4 |
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ISYE 6780 - Introduction to Optimization
Convex sets and functions, optimality conditions in nonlinear programming, Lagrangian duality, quadratic programming algorithms for nonlinear programming including Newton’s method, quasi-Newton methods, conjugate gradient methods, together with proofs of convergence.
Prerequisites/Corequisites: Prerequisite: MATH 4200 or equivalent, or permission of instructor.
When Offered: Fall term annually.
Cross Listed: Cross listed as MATP 6600 . Students cannot obtain credit for both this course and MATP 6600 .
Credit Hours: 4
Credit Hours: 4 |
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ISYE 6820 - Queuing Systems and Applications
A course on fundamentals of stochastic processes and queuing theory emphasizing applications. Poisson processes, renewal processes, Markov chains, general methods in the study of Markovian and non-Markovian systems, tandem queues, networks of queues, priority and bulk queues, computational methods and simulation. Focus of the course is the application of these tools in the performance evaluation and design of computer systems, communication networks, manufacturing systems, and service systems.
Prerequisites/Corequisites: Prerequisite: ECSE 2500 or MATP 4600 or equivalent.
When Offered: Upon sufficient demand.
Cross Listed: Cross listed as ECSE 6820 . Students cannot obtain credit for both this course and ECSE 6820 .
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6840 - Modeling Large-Scale Systems
Applications of operations research and systems analysis techniques to mathematical modeling of complex systems, especially large-scale public systems. Discussion of model-building approaches, emphasizing the role of creativity, rationality, and mathematics. Introduction of important quantitative techniques (e.g., geometrical probability, optimization theory, and stochastic processes) and their application to modeling emergency service systems, spatial distribution of public service facilities, congestion, land-use patterns, transportation systems, demographics, and energy.
Prerequisites/Corequisites: Prerequisites: introductory course in operations research and ECSE 2500 or equivalent; ECSE 6830 desirable.
When Offered: Upon sufficient demand.
Cross Listed: Cross listed as ECSE 6840 . Students cannot obtain credit for both this course and ECSE 6840 .
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6870 - Introduction to Neural Networks
Neural networks are program and memory at once, useful where traditional techniques fail, i.e., for artificial speech and image recognition. Emphasis on existing and emerging engineering applications. Parallel distributed processing, Hebb’s rule, Hopfield net, back-propagation algorithm, perceptrons, unsupervised learning, Kohenen self-organizing map, genetic algorithms, neocognitron, adaline. Illustrated with computer programs and lectures.
When Offered: Upon sufficient demand.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6900 - Seminar in ISYE Research
A review of active ISYE doctoral research projects and activities. Students develop a research paper or proposal under the guidance of a selected faculty adviser and present research findings in class. It is anticipated that the research paper will lead to identification of the broad area of dissertation research. The proposal should be of a quality that can be submitted to an external funding agency.
Prerequisites/Corequisites: Prerequisite: ISYE doctoral student or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ISYE 6940 - Readings in ISYE
Credit Hours: 3 to 6
Credit Hours: 3 to 6 |
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ISYE 6960 - Topics in ISYE
Credit Hours: 3
Credit Hours: 3 |
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ISYE 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.
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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ISYE 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 of IP are assigned until the master’s project has been approved by the faculty adviser. If recommended by the adviser, the master’s project may be accepted by the Office of Graduate Education to be archived in the Library. Grades will then be listed as S.
Credit Hours: 1 to 9
Credit Hours: 1 to 9 |
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ISYE 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 presented, 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
Credit Hours: 1 to 9 |
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ISYE 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: 1-16
Credit Hours: 1-16 |
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ITWS 1100 - Introduction to Information Technology and Web Science
This course introduces students to the field of information technology and Web science, the types of problems encountered in the field, and the solution approaches used to solve them. Through a series of activities and projects, students are introduced to topics such as Web systems design, emerging Web standards, database systems, security, and computer networking. Guest speakers highlight information technology practices in industry. Students work in groups on a team project and presentation at the end of the course.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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ITWS 1220 - IT and Society
This course investigates the relationship between Information Technology (IT) and the individuals and groups who use it – which is to say, virtually everyone. The course has two main goals. First, it seeks to define and explain core concepts in the field of IT in a fashion that is not overly technical. Second, it examines the historical, social, cultural, political and economic factors that have helped to shape, and have been shaped by, the dimensions of IT that we will study.
When Offered: Spring term annually.
Cross Listed: Cross listed as IHSS 1220 . Students cannot obtain credit for both this course and IHSS 1220 .
Credit Hours: 4
Credit Hours: 4 |
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ITWS 2110 - Web Systems Development
This course involves a study of the methods used to extract and deliver dynamic information on the World Wide Web. The course uses a hands-on approach in which students actively develop Web-based software systems. Additional topics include installation, configuration, and management of Web servers. Students are required to have access to a PC on which they can install software such as a Web server and various programming environments.
Prerequisites/Corequisites: Prerequisite: ITWS 1100 . Corequisite: CSCI 1200 .
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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ITWS 2210 - Introduction to Human Computer Interaction
An introduction to the current theories, methods, and issues in human-computer interaction. Theory and research along with practical application are discussed within the context of organizational impact. The course provides the knowledge of HCI systems and research used for the implementation of safe, quick, and useable interactive technologies.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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ITWS 4100 - Information Technology and Web Science Capstone
Students work on collaborative projects to design innovative ITWS solutions which address a specific problem or area of need in the student’s field. Students work to identify a problem and research viable solutions. They go on to propose, design, and prototype their ITWS solution learning best practices for ITWS project management, communication, and user-center design. This course serves as the culminating experience for the undergraduate ITWS program. Restricted to ITWS majors. This is a communication-intensive course.
Prerequisites/Corequisites: ITWS 4310
When Offered: Fall and spring terms annually.
Cross Listed: Cross listed as ITWS 6800 . Students cannot receive credit for both ITWS 4100 and ITWS 6800 during the same semester.
Credit Hours: 4
Credit Hours: 4 |
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ITWS 4250 - Database Applications and Systems (DBAS)
This advanced course in database applications and database systems provides students with a strong foundation in modern database design, data modeling, data normalization, SQL, NoSQL, query optimization, database security, and how databases fit into larger software architectures. Substantial programming and design projects are required.
Prerequisites/Corequisites: CSCI 2300
When Offered: Fall term annually.
Cross Listed: ITWS 6250 . Students may receive credit for only one of ITWS 4250, ITWS 6250 or CSCI 4380 .
Credit Hours: 3
Contact, Lecture or Lab Hours: 3
Credit Hours: 3 |
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ITWS 4300 - Business Issues for Engineers and Scientists
Investigates business-related considerations in successfully commercializing new technology in a new venture or within an existing enterprise: market and customer analysis, beating the competition, planning and managing for profitability, high-tech marketing and sales, and business partnerships and acquisitions. Not a general management course; focuses explicitly on what is relevant for engineers and scientists working in a commercial environment. For junior/senior undergraduate or graduate students.
When Offered: Fall and spring terms annually.
Cross Listed: Cross listed as ENGR 4100 / ENGR 6100 and ITWS 6300 . Students can only obtain credit for one of these courses.
Credit Hours: 4 credit hours undergraduate; 3 credit hours graduate
Credit Hours: 4 credit hours undergraduate; 3 credit hours graduate |
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ITWS 4310 - Managing IT Resources
This course provides an introduction to fundamental concepts of management and applies them to IT. It examines the use of IT in business processes and the management issues of integrating IT into organizational processes to gain competitive advantage. Topics include: management, organizations, and information systems; development life cycle; project management and systems engineering; process reengineering; and organizational learning. This course includes the planning, development, and implementation of an IT project for a real client.
Prerequisites/Corequisites: Prerequisite: CSCI 1200 . Prerequisite or Corequisite: ITWS 2110 . Restricted to juniors or seniors.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 3 |
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ITWS 4360 - 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: ITWS 4350 / ITWS 6350 , CSCI 4350 / CSCI 6350 or permission of instructor.
When Offered: Spring term annually.
Cross Listed: ITWS 6360 , CSCI 4370 / CSCI 6370 . Students can only receive credit for one of these courses.
Credit Hours: 4
Credit Hours: 4 |
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ITWS 4370 - Information System Security
This course covers foundational models for information security, policies, authentication, access control, database security, assurance, auditing, and intrusion detection. It also devotes substantial time to secure coding practices. Students will be expected to complete projects that explore an aspect of information security in detail. Cryptography is not covered since it is a focus of other courses.
Prerequisites/Corequisites: Prerequisites: CSCI 2500 or ECSE 2660 ; and prerequisite or corequisite CSCI 2300 .
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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ITWS 4400 - X-Informatics
Informatics covers a broad range of disciplines addressing challenges in the explosion of data and information resources. X-informatics 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.
When Offered: Spring term annually.
Cross Listed: ITWS 6400 , CSCI 4400 / CSCI 6400 , and ERTH 4400 / ERTH 6400 . Students can only obtain credit for one of these courses.
Credit Hours: 3
Credit Hours: 3 |
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Credit Hours: 4 |
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ITWS 4600 - Data Analytics
The world at-large is confronted with increasingly larger and complex sets of structured/unstructured information; from cyber and human sources. Traditional enterprises are moving toward analytics-driven approaches for core business functions. Data and information analytics extends analysis (descriptive models of data) by using data mining and machine learning methods, with optimization and validation, to recommend action or guide and communicate decision-making. Thus, analytics is an entire methodology rather than individual analyses or analysis steps.
When Offered: Fall and spring terms annually.
Cross Listed: BCBP 4600 , ITWS 6600 , CSCI 4960 . Students can only obtain credit for one of these courses.
Credit Hours: 3
Credit Hours: 3 |
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ITWS 4700 - Software Development
This course teaches students about the roles and infrastructure of IT departments in modern organizations, IT software engineering technologies and methodologies for software development life cycle through hands-on experience. The course is for students with software development background to enhance their knowledge of software development and management, the software development industry, open source community, etc.
Prerequisites/Corequisites: Prerequisite: Programming languages (Java, or C#, or C++, and Script, XML, SQL), concepts of OO and design patterns, and basics of IDE.
When Offered: Fall and spring terms annually.
Cross Listed: Cross listed as ITWS 6700 . Students can only obtain credit for one of these courses.
Credit Hours: 3
Credit Hours: 3 |
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ITWS 4980 - Special Projects
Active participation in a senior-level project supervised by a faculty member and requiring a presentation and project report. Grades of “in-progress” are assigned until the special project has been approved by the faculty member.
Prerequisites/Corequisites: Permission of instructor.
When Offered: Fall and spring terms annually.
Credit Hours: 1-4
Credit Hours: 1-4 |
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Credit Hours: 3 |
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ITWS 6250 - Database Applications and Systems (DBAS)
This advanced course in database applications and database systems provides students with a strong foundation in modern database design, data modeling, data normalization, SQL, NoSQL, query optimization, database security, and how databases fit into larger software architectures. Substantial programming and design projects are required.
Prerequisites/Corequisites: Knowledge of data structures and algorithms, and proficiency in a higher-level programming langauge is an advantage.
When Offered: Fall term annually.
Cross Listed: ITWS 4250 . Students may receive credit for only one of ITWS 4250 , ITWS 6250 or CSCI 4380 .
Credit Hours: 3
Contact, Lecture or Lab Hours: 3
Credit Hours: 3 |
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ITWS 6300 - Business Issues for Engineers and Scientists
Investigates business-related considerations in successfully commercializing new technology in a new venture or within an existing enterprise: market and customer analysis, beating the competition, planning and managing for profitability, high-tech marketing and sales, and business partnerships and acquisitions. Not a general management course; focuses explicitly on what is relevant for engineers and scientists working in a commercial environment. For junior/senior undergraduate or graduate students.
When Offered: Fall and spring terms annually.
Cross Listed: Cross listed as ENGR 4100 / ENGR 6100 and ITWS 4300 . Students can only obtain credit for one of these courses.
Credit Hours: 4 credit hours undergraduate; 3 credit hours graduate
Credit Hours: 4 credit hours undergraduate; 3 credit hours graduate |
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Credit Hours: 3 |
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ITWS 6360 - 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: ITWS 4350 / ITWS 6350 , CSCI 4350 / CSCI 6350 , or permission of instructor
When Offered: Spring term annually.
Cross Listed: ITWS 4360 , CSCI 4370 / CSCI 6370 . Students can only receive credit for one of these courses.
Credit Hours: 4
Credit Hours: 4 |
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ITWS 6400 - X-Informatics
Informatics covers a broad range of disciplines addressing challenges in the explosion of data and information resources. X-informatics 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.
When Offered: Spring term annually.
Cross Listed: Cross listed as ITWS 4400 , CSCI 4400 / CSCI 6400 and ERTH 4400 / ERTH 6400 . Students can only obtain credit for one of these courses.
Credit Hours: 3
Credit Hours: 3 |
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ITWS 6440 - Big Data Policy
Although the term ‘big data’ is relatively new on the scene, the idea of collecting, protecting, and sharing large data sets has been around since before computers were a major player. Similarly, the concept of a ‘policy,’ high-level guidelines providing a general course of action (or inaction) in a given area, is not new. Putting those two concepts together, however, is a recent phenomenon which has created a set of intriguing challenges. What is ‘open data?’ What does it mean to ‘share’ data? Who makes such policies and how are they implemented? Do data policies look the same all over the world? What are the economic, cultural, and technological implications/impacts of/on a given data policy? How would one even go about understanding and evaluating a data policy? This course takes the basics of policy design and analysis, blends in critical thinking skills, ethics, group dynamics, national perspectives, and international perspectives, and applies it all to the world of big data.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ITWS 6600 - Data Analytics
The world at-large is confronted with increasingly larger and complex sets of structured/unstructured information; from cyber and human sources. Traditional enterprises are moving toward analytics-driven approaches for core business functions. Data and information analytics extends analysis (descriptive models of data) by using data mining and machine learning methods, with optimization and validation, to recommend action or guide and communicate decision-making. Thus, analytics is an entire methodology rather then individual analyses or analysis steps.
When Offered: Fall and spring terms annually.
Cross Listed: ITWS 4600 and CSCI 4960 . Students can only obtain credit for one of these courses.
Credit Hours: 3
Credit Hours: 3 |
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ITWS 6700 - Software Development
This course teaches students about the roles and infrastructure of IT departments in modern organizations, IT software engineering technologies and methodologies for software development life cycle through hands-on experience. The course is for students with software development background to enhance their knowledge of software development and management, the software development industry, open source community, etc.
Prerequisites/Corequisites: Prerequisites: Programming languages (Java, or C#, or C++, and Script, XML, SQL), concepts of OO and design patterns, and basics of IDE.
When Offered: Fall and spring terms annually.
Cross Listed: Cross listed as ITWS 4700 . Students can only obtain credit for one of these courses.
Credit Hours: 3
Credit Hours: 3 |
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ITWS 6800 - Information Technology Master’s Capstone
Integration of the knowledge and professional practice of the Master’s in IT core and concentration courses. Topics in database systems, networking, software design, human computer interaction, management of technology, and ethics are applied within a framework of global e-business strategy. The course utilizes a Team Project with a real organization to practice major IT concepts. Team members select, develop, and present a significant technology implementation project, incorporating strategy, systems development, and business planning.
When Offered: Fall and spring terms annually.
Cross Listed: Cross listed as ITWS 4100 . Students cannot receive credit for both ITWS 4100 and ITWS 6800 during the same semester.
Credit Hours: 3
Credit Hours: 3 |
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ITWS 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.
When Offered: Fall and spring terms annually.
Credit Hours: 3-4
Credit Hours: 3-4 |
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ITWS 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 presented, approved by the adviser, and accepted by the Office of Graduate Education, it will be archived in a standard format in the library.
When Offered: Fall and spring terms annually.
Credit Hours: 3-6
Credit Hours: 3-6 |
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LANG 1410 - Chinese I
This course assumes no previous knowledge of the subject. The course is designed to provide students with fundamental skills in listening, speaking, reading, and writing Mandarin Chinese. Oral and aural skills will be emphasized. Background on Chinese culture will be introduced as an element of the course. For entry level, non-native speakers only.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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LANG 2410 - Chinese II
This is a continuation of Chinese I, a course for the standard modern Chinese language (Mandarin). Students learn more Chinese characters and words, reach a total of nearly 500 characters and 650 words, and use more complicated grammatical structures, including some compliment phrases and topic-comment sentences. In sum, students will learn more in all four aspects—listening, speaking, reading, and writing—presented in Chinese I.
Prerequisites/Corequisites: Prerequisite: LANG 1410 or equivalent or permission of instructor.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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LANG 2940 - Language Studies
Readings and projects adapted to the needs of individual students.
Credit Hours: 4
Credit Hours: 4 |
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LANG 2960 - Topics in Language
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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LANG 4420 - Chinese III
This is a continuation of Chinese II, a course for the standard modern Chinese language (Mandarin). Students learn more Chinese characters and words, reach a total of about 650 characters, 1000 words, and use more complicated grammatical structures, e.g., reduplication of adjectives and verbs, resultative and potential compliments. In sum, students learn more in all four aspects—listening, speaking, reading and writing—presented in Chinese II.
Prerequisites/Corequisites: Prerequisite: LANG 2410 or equivalent or permission of instructor.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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LANG 4430 - Chinese IV
This is a continuation of Chinese III, a course for standard modern Chinese language (Mandarin). Students learn additional Chinese characters and words, reach a total of about 800 characters, 1350 words, and complicated grammatical structures, e.g., expression of approximation, comparison of structural and aspect particles, etc. In sum, students learn more in all four aspects—listening, speaking, reading, and writing—presented in Chinese III.
Prerequisites/Corequisites: Prerequisite: LANG 4420 or equivalent or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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LANG 4470 - Chinese V
Chinese V is a continuation of Chinese IV, a course for standard modern Chinese language (Mandarin). Students learn additional Chinese characters and words, reach a total of about 950 characters, 1700 words, and complicated grammatical structures, e.g., idiomatic expressions, expressions of comparison, concession, and subjection, etc. In sum, students learn more in all four aspects – listening, speaking, reading and writing – presented in Chinese IV.
Prerequisites/Corequisites: Prerequisite: LANG 4430 or equivalent or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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LANG 4940 - Language Studies
Readings and projects adapted to the needs of individual students.
Credit Hours: 4
Credit Hours: 4 |
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LANG 4960 - Topics in Language
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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LANG 6940 - Language Studies
Readings and projects adapted to the needs of individual students.
Credit Hours: 3
Credit Hours: 3 |
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LANG 6960 - Topics in Language
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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Level Design 4270 - Level Design
This project-based course introduces students to the tools and concepts used to create levels for games and simulations. It explores how various fields and theories (architecture, psychogeography, and theory of the Dérive, player psychology), influence the level design and alter or enhance the ludic concepts (flow and critical path, risks-rewards, tutoring, balance of difficulty, and storytelling). Level analysis will help students to recall these concepts. Students will demonstrate their understanding by designing three “paper” maps (stealth, puzzle adventure, 3rd person) and implementing two developed levels (2D and 3D).
Prerequisites/Corequisites: Prerequisites: One of the following: GSAS 1040 , GSAS 1600 , GSAS 2510 , GSAS 2520 , or GSAS 2540
When Offered: spring term annually
Credit Hours: 4
Credit Hours: 4 |
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LGHT 4230 - Lighting Design
A design studio that explores the roles of light in architecture and its application by design. Students conceive, evaluate, and synthesize solutions that contribute to successful lighting and architectural design.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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LGHT 4760 - Lighting Workshop
The Lighting Workshop is a research and design studio integrating scholarship, technology, design, policy, and communication in an intensive, project specific context. The course includes a number of topics, selected each year by faculty. These topics are selected to emphasize scholarship; require a variety of written and verbal presentation techniques; increase synthesizing skills in design, applications, and visualization software; and require teamwork and individual efforts. The Lighting Workshop emphasizes studio and seminar work supplemented with lecture, class discussions, and individual and group research, design, writing, and reading assignments.
When Offered: Spring term annually.
Cross Listed: LGHT 6760 .
Credit Hours: 4
Credit Hours: 4 |
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LGHT 4770 - Lighting Technologies and Applications
This course provides students with an in-depth understanding of the components of advanced lighting systems and enables them to critically explore applications of those components. Through lectures, readings, assignments, and application projects, students acquire working knowledge of the relevant products and techniques for lighting application and develop solutions to lighting problems. Students will undertake practical applications of advanced lighting technologies and develop skills in the application of photometric data, use of manual and computer-based lighting calculations, and the development of lighting specifications.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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LGHT 4830 - Physics of Light
A comprehensive overview of the physics of light and its applications for lighting. The course uses a variety of instructional methodologies, including lectures, laboratory sessions, hands-on experimentation, and individual student projects and presentations to cover various areas of lighting study. Topics include geometric optics, physical optics, lighting calculations and measures, spectroradiometry, measurement techniques for advanced light sources, radiometry, and photometry.
When Offered: Fall term annually.
Cross Listed: LGHT 6830 .
Credit Hours: 4
Credit Hours: 4 |
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LGHT 4840 - Human Factors in Lighting
An introduction to lighting and human factors, including classical literature and contemporary studies and development of skills needed to conduct and evaluate human factors research.
Prerequisites/Corequisites: LGHT 6770 Light and Health.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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LGHT 4870 - Light and Health
This course will explore the effects of light and lighting on people’s physical and psychological health and well-being. Lectures will focus on the physiology of the visual and circadian systems, the relationship between lighting and visual performance and circadian photobiology, including the relationship between lighting and Alzheimer’s disease, sleep disorder, alertness, seasonal affective disorder (SAD), and breast cancer. The course will conclude with a research project studying the interaction of light and human health in the built environment. Students will learn to apply their newly acquired knowledge of the health effects of light to lighting design and application.
Prerequisites/Corequisites: LGHT 4840 - Human Factors in Lighting.
When Offered: Spring term annually.
Cross Listed: LGHT 6770 .
Credit Hours: 4
Credit Hours: 4 |
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LGHT 4940 - Advanced Individual Projects in Lighting
Individual projects and readings adapted to the needs of individual students at the advanced level.
Credit Hours: 1 to 6
Credit Hours: 1 to 6 |
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LGHT 6750 - Lighting Research Design
An introduction to the philosophy of research and different approaches to it. Emphasis is placed on planning, executing, analyzing, and describing experiments. Each student is required to keep a laboratory notebook and to perform statistical tests in concert with assigned research projects.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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