UVa Course Catalog (Unofficial, Lou's List)
Complete Catalog for the Systems and Information Engineering Department    
Class Schedules Index Course Catalogs Index Class Search Page
These pages present data mined from the University of Virginia's student information system (SIS). I hope that you will find them useful. — Lou Bloomfield, Department of Physics
Systems & Information Engineering
SYS 2001Systems Engineering Concepts (3.00)
Offered
Fall 2017
Three major dimensions of systems engineering will be covered, and their efficacy demonstrated through case studies: (1) The history, philosophy, art, and science upon which systems engineering is grounded; including guiding principles and steps in the 'systems engineering approach' to problem solving; (2) The basic tools of systems engineering analysis, including; goal definition and system representation, requirements analysis, system assessment and evaluation, mathematical modeling, and decision analysis; and (3) system and project planning and management. Prerequisite: Systems Major; APMA 1110 and 2120.
SYS 2004Data Management and Information Management (3.00)
Introduces the integration and acquisition of information for decision-making using information technology. Discusses the impact of rapid software and hardware development on information integration, including the essential methodologies of client server and database systems. Topics include client server technology, the design and analysis of relational database systems, exposure to Microsoft Access, and the fourth-generation language SQL. This course is not intended for systems engineering majors. Students may not receive credit for both SYS 2202 and SYS 2004. Prerequisite: CS 1010 or ENGR 1620, or instructor permission
SYS 2048Introduction to Electromechanical Systems (3.00)
Students are introduced to several engineering subjects in electrical, computer, mechanical, and systems engineering and build integrated systems that combine topics from these disciplines. Primarily hands-on, the course develops practical knowledge of sensor circuits, amplification circuits, dynamic systems, rapid prototyping, micro controllers, and data storage. Projects are designed to draw parallels between engineering subjects. Prerequisite: either ECE 2630, ECE/CS 2330, or MAE 2000; Co-requisites: APMA 2130.
Course was offered Spring 2017, Spring 2016, Spring 2015
SYS 2054Systems Case Studies (3.00)
Focuses on the application of systems engineering methodology to an actual, open-ended situation faced by a client. Areas of emphasis will include the identification of system goals, the formulation of requirements and performance measures, the creation and evaluation of alternative solutions, and the presentation of results to clients. When offered abroad, this course also focuses on cutlural differences in engineering and business.
Course was offered January 2017
SYS 2055Technology Leaders Colloquium (0.50)
Offered
Fall 2017
Students learn about systems integration, technical leadership, innovation, professional development, interdisciplinary teamwork, and the engineering field through a variety of experiences including industry speakers, field trips, student presentations, in-class activities, and projects.
SYS 2056Technology Leaders Internship Colloquium (0.50)
Offered
Fall 2017
Students learn about systems integration, technical leadership, innovation, professional development, interdisciplinary teamwork, and the engineering field through a variety of experiences including industry speakers, field trips, student presentations, in-class activities, and projects. As distinguished from SYS 2055, students must also complete assignments relating their summer internship work to their field of study.
Course was offered Spring 2017, Fall 2016, Spring 2016
SYS 2057Management of E-Commerce Systems (3.00)
An introduction to the management, technology and performance assessment of electronic business systems. The course emphasizes the intimate relationship between business planning and technology planning for e-businesses. Details of specific e-commerce technologies will be covered as well as approaches to e-business planning. Topics include: technologies, architectures, and infrastructures; information security and privacy; supply-chain management and customer relationship management; requirements definition and analysis; development lifecycles; customer behaviors; performance models; service metrics; waiting and response times; traffic characteristics; load forecasts and scenarios; resources and costs estimation; risk analysis; optimization; capacity planning; and e-business financial planning and deployment. Prerequisite: CS 1010 or ENGR 1620, or instructor permission.
SYS 2202Data and Information Engineering (3.00)
This course provides students with the background necessary to model, store, manipulate, and exchange information to support decision making. It covers Unified Modeling Language (UML), SQL, and XML; the development of semantic models for describing data and their relationships; effective use of SQL; web-based technologies for disseminating information; and application of these technologies through web-enabled database systems. Prerequisite: Systems Major; SYS 2001 and CS 2110, or Instructor Permission
SYS 2501Special Topics in Systems and Information Engineering (1.00 - 3.00)
A second-year level undergraduate course focused on a topic not normally covered in the course offerings. The topic usually reflects new developments in the systems and information engineering field. Offering is based on student and faculty interests. Prerequisites: Instructor Permission
Course was offered Spring 2015
SYS 2502Special Topics in Systems and Information Engineering (1.00 - 3.00)
A second-year level undergraduate course focused on a topic not normally covered in the course offerings. The topic usually reflects new developments in the systems and information engineering field. Offering is based on student and faculty interests. Prerequisites: Instructor Permission
SYS 2620Engineered Systems Public Policy (3.00)
This course examines the lifecycle of engineered systems (ES) and the public policies developed to regulate them. It covers risks, costs, benefits, and equity as common evaluation criteria for ES and their regulatory policies. It uses case studies from current events and basic tools of decision analysis to enable students to critically evaluate the tradeoffs involved in developing and regulating ES through public policy. Prerequisite: STS 1500, APMA 1110, CHEM 1410, PHYS 1610
SYS 3001The Art and Science of Systems Modeling (3.00)
This course will introduce the students to the systemic process of model building and to the richness of the plethora of classes of models, spanning linear vs. nonlinear; static vs. dynamic; deterministic vs. probabilistic; discrete vs. continuous; single-objective vs. multi-objective. In particular, the central role of state space and state variables in system modeling will be the focus of model building. All models developed in class will be introduced with example problems and the students' learning experience in model building will be codified through group homework assignments, exams and a term project.
SYS 3021Deterministic Decision Models (3.00)
Offered
Fall 2017
Introduction to deterministic optimization models: theory, algorithms, and applications. Coverage begins with highly structured network optimization models (e.g. shortest path models) and ends with unstructured linear optimization models (e.g. linear programing and integer programming). Applications include (1) telecommunications network planning and design, (2) design and utilization of transportation and distribution networks, and (3) project management and scheduling. Prerequisite: SYS 2001; corequisite: APMA 3080.
SYS 3023Human Machine Interface (3.00)
Offered
Fall 2017
An introduction to the fundamentals for the analysis, design and evaluation of human-centered systems. For example, user interaction can be designed to leverage the strengths of people in controlling automation and analyzing data. Course topics include Task, User and Work Domain Analysis, User Interface Design Principles, Human Cognition and Information Processing (Top-Down Design), Human Perception (Bottom-Up Design), and Usability Testing. Prerequisite: SYS 2001 and major in Systems Engineering
SYS 3034System Evaluation (3.00)
Focuses on the evaluation of candidate system designs and design performance measures. Includes identification of system goals; requirements and performance measures; design of experiments for performance evaluation; techniques of decision analysis for trade-studies (ranking of alternatives); presentation of system evaluation and analysis results. Illustrates the concepts and processes of systems evaluations using case studies. Prerequisite: APMA 3120, SYS 2001, 3021, and major in systems engineering.
SYS 3048Integrated Systems Design (3.00)
In this project-based course, students synthesize domain-specific knowledge from several engineering disciplines to produce integrated systems. Problems are approached utilizing both a top-down integration approach and a bottom-up component approach, and substantial focus is put on the interactions and interfaces between system components. Students get hands-on experience with prototyping, design evaluation, and iterative design. Prerequisite: SYS 2001, SYS 2048 and MAE 4710.
Course was offered Spring 2017, Spring 2016, Spring 2015
SYS 3054Systems Case Studies (3.00)
Focuses on the application of systems engineering methodology to an actual, open-ended situation faced by a client. Areas of emphasis will include the identification of system goals, the formulation of requirements and performance measures, the creation and evaluation of alternative solutions, and the presentation of results to clients. When offered abroad, this course also focuses on cultural differences in engineering and business. Prerequisites: SYS 2001, APMA 3100, APMA 3110, APMA 3120, or instructor permission.
Course was offered Fall 2013
SYS 3055Systems Engineering Design Colloquium I (1.00)
Offered
Fall 2017
Students learn about the practice of systems engineering directly from practicing systems engineers. A variety of topics are covered by invited speakers from industry, government, and the academy (many of whom are alumni of our undergraduate program). Discussions include engineering design projects, alternative career paths, graduate studies, professional development and advancement strategies, and more immediate options and opportunities for summer internships and capstone projects. Prerequisite: Third-year standing in systems engineering.
SYS 3060Stochastic Decision Models (3.00)
Introduction to mathematical modeling of forecasts and decisions under uncertainty using principles of statistical decision theory; judgmental and Bayesian techniques for probabilistic forecasting; forecast verification methods; static and sequential decision models for quality control, inventory control, queue management, hazard warnings; and economic, investment, and weather-sensitive decisions. Prerequisite: APMA 3100 and 3120, or instructor permission.
SYS 3062Discrete Event Simulation (4.00)
A first course in the theory and practice of discrete-event simulation. Monte Carlo methods, generating random numbers and variates, spreadsheet add-ins and applications, sampling distributions and confidence intervals, input analysis and distribution fitting. Discrete-event dynamic systems, modeling, simulation logic and data structures, output analysis, model verification and validation, comparing alternative systems, simulation optimization, case studies. Applications span communication, computer, distribution, health-care, manufacturing, service, and transportation systems. Modern simulation software tools, including animation. Prerequisite: CS 2110, APMA 3100, 3120, and major in systems engineering.
SYS 3501Special Topics in Systems and Information Engineering (1.00 - 4.00)
Offered
Fall 2017
A third-year level undergraduate course focused on a topic not normally covered in the course offerings. The topic usually reflects new developments in the systems and information engineering field. Offering is based on student and faculty interests. Prerequisites: Instructor Permission
SYS 3502Special Topics in Systems and Information Engineering (0.50 - 3.00)
A third-year level undergraduate course focused on a topic not normally covered in the course offerings. The topic usually reflects new developments in the systems and information engineering field. Offering is based on student and faculty interests. Prerequisites: Instructor Permission
SYS 4000Financial Aspects of Engineering (3.00)
Students will investigate various financial aspects of engineering. Topics will include basic economic analysis (e.g., opportunity cost, time value of money), calculation of present value, interest rates, basic principles of accounting, methods of depreciation, risk analysis, insurance, taxation, decision analysis, and legal issues.
SYS 4021Linear Statistical Models (4.00)
Offered
Fall 2017
This course shows how to use linear statistical models for analysis in engineering and science. The course emphasizes the use of regression models for description, prediction, and control in a variety of applications. Building on multiple regression, the course also covers principal component analysis, analysis of variance and covariance, logistic regression, time series methods, and clustering. Course lectures concentrate on the theory and practice of model construction while laboratories provide a series of open-ended problem solving situations that illustrate the applicability of the models. Prerequisite: SYS 3060, APMA 3120, and major in systems engineering.
SYS 4024User Experience Design (3.00)
A case-based approach to the design of user interfaces with a focus on iterative project experiences. Display design concepts are related to ecological factors, situational awareness, attention, vision, and information processing. Project cases are tied to real-world problems of decision support on mobile platforms, large scale command and control, and data visualization, among others. Prerequisites: SYS 3023 or CS 3205 or Instructor Permission
SYS 4036Design of Experiments (3.00)
A problem-oriented approach to planning, design and analysis of experiments. A strategic selection of experimental design takes fundamental understanding of variability, and the skills to analyze and control it. The lectures cover a list of statistical methods and their relationship, including ANOVA, Regression, Factorial Designs and RSM. The final project will help gain experiences in collecting and analyzing human subject experiments.
SYS 4044Economics of Engineering Systems (3.00)
Offered
Fall 2017
This course is an introduction to the theory of the industrial organization (from a game-theoretic perspective) and its applications to industries with strong engineering content (electricity, telecommunications, software & hardware etc.) Topics include: congestion pricing in networks, pricing and efficiency in electricity markets, planned obsolescence in software development, "network" effects and the dynamics of technology adoption etc. Prerequisites: ECON 2010 and APMA 3100 or APMA 3110
SYS 4053Systems Design I (3.00)
Offered
Fall 2017
A design project extending throughout the fall semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. Prerequisite: SYS 3021, 3060, and fourth-year standing in the Systems Engineering major.
SYS 4054Systems Design II (3.00)
Offered
Fall 2017
A design project extending throughout the spring semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. SYS 4053 and fourth-year standing in Systems Engineering major.
SYS 4055Systems Engineering Design Colloquium II (1.00)
Offered
Fall 2017
This is a colloquium that allows fourth-year students to learn about engineering design, innovation, teamwork, technical communication, and project management in the context of their two-semester systems capstone design project. With respect to their capstone project, students define and scope their project, structure an interim report about the project, and give an oral presentation to the class. In addition, students study methods of effective time management and prepare presentations of their 5-year career plans. Prerequisite: Fourth-year standing in systems engineering.
SYS 4081Human-Computer Interaction (3.00)
To learn basic aspects of human factors in the design of information support systems. We will cover: (1) basic human performance issues (physiology, memory, learning, problem-solving, human error), (2) the user interface design process (task analysis, product concept, functional requirements, prototype, design, and testing.) Students will gain basic skills in the analysis and design of human-machine systems through in-class exercises and two course projects. The course is also designed to help you practice different communication skills (interviewing, written analysis, and oral presentation).
SYS 4501Special Topics in Systems and Information Engineering (0.50 - 3.00)
Offered
Fall 2017
A fourth-year level undergraduate course focused on a topic not normally covered in the course offerings. The topic usually reflects new developments in the systems and information engineering field. Offering is based on student and faculty interests. Prerequisites: Instructor Permission
SYS 4502Special Topics in Systems and Information Engineering (0.50 - 3.00)
A fourth-year level undergraduate course focused on a topic not normally covered in the course offerings. The topic usually reflects new developments in the sysems and information engineering field. Offering is based on student and faculty interests.
SYS 4581Selected Topics in Systems Engineering (0.50 - 3.00)
Offered
Fall 2017
Detailed study of a selected topic determined by the current interest of faculty and students. Offered as required. Prerequisite: As specified for each offering.
SYS 4582Selected Topics in Systems Engineering (0.50 - 3.00)
Detailed study of a selected topic determined by the current interest of faculty and students. Prerequisite: As specified for each offering.
Course was offered Spring 2017, Spring 2016
SYS 4995Supervised Projects in Systems Engineering (1.00 - 6.00)
Offered
Fall 2017
Independent study or project research under the guidance of a faculty member. Offered as required. Prerequisite: As specified for each offering.
SYS 5044Economics of Engineering (3.00)
This course is an introduction to the theory of the industrial organization (from a game-theoretic perspective) and its applications to industries with strong engineering content (electricity, telecommunications, software and hardware, etc.). Topics include: congestion pricing in networks, pricing and efficiency in electricity markets, planned obsolescence in software development, "networks" effects and the dynamics of technology adoption. Prerequisite: ECON 2010, APMA 3100 or 3110.
Course was offered Spring 2012
SYS 5581Selected Topics in Systems Engineering (3.00)
Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required.
Course was offered Fall 2010
SYS 6001Introduction to Systems Analysis & Design (3.00)
Offered
Fall 2017
An integrated introduction to systems methodology, design, and management. An overview of systems engineering as a professional and intellectual discipline, and its relation to other disciplines, such as operations research, management science, and economics. An introduction to selected techniques in systems and decision sciences, including mathematical modeling, decision analysis, risk analysis, and simulation modeling. Elements of systems management, including decision styles, human information processing, organizational decision processes, and information system design for planning and decision support. Emphasizes relating theory to practice via written analyses and oral presentations of individual and group case studies. Prerequisite: Admission to the graduate program.
SYS 6002Systems Integration (3.00)
Provides an introduction to the problems encountered when integrating large systems, and also presents a selection of specific technologies and methodologies used to address these problems. Includes actual case-studies to demonstrate systems integration problems and solutions. A term project is used to provide students with the opportunity to apply techniques for dealing with systems integration. Prerequisite: SYS 6001 or instructor permission.
Course was offered Spring 2012, Spring 2010
SYS 6003Optimization Models and Methods I (3.00)
Offered
Fall 2017
This course is an introduction to theory and application of mathematical optimization. The goal of this course is to endow the student with a) a solid understanding of the subject's theoretical foundation and b) the ability to apply mathematical programming techniques in the context of diverse engineering problems. Topics to be covered include a review of convex analysis (separation and support of sets, application to linear programming), convex programming (characterization of optimality, generalizations), Karush-Kuhn-Tucker conditions, constraint qualification and Lagrangian duality. The course closes with a brief introduction to dynamic optimization in discrete time. Prerequisite: Two years of college mathematics, including linear algebra, and the ability to write computer programs.
SYS 6005Stochastic Modeling I (3.00)
Offered
Fall 2017
Covers basic stochastic processes with emphasis on model building and probabilistic reasoning. The approach is non-measure theoretic but otherwise rigorous. Topics include a review of elementary probability theory with particular attention to conditional expectations; Markov chains; optimal stopping; renewal theory and the Poisson process; martingales. Applications are considered in reliability theory, inventory theory, and queuing systems. Prerequisite: APMA 3100, 3120, or equivalent background in applied probability and statistics.
SYS 6007Human Factors I (3.00)
Offered
Fall 2017
An introduction to the analysis, design and evaluation of human-centered systems. User interaction can be designed to leverage the strengths of people in controlling automation and analyzing data. Topics include Task, User and Work Domain Analysis, User Interface Design Principles, Human Cognition and Information Processing, Human Perception, and Usability Testing. Graduate version includes separate project review sessions.
SYS 6009The Art and Science of Systems Modeling (3.00)
Focuses on learning and practicing the art and science of systems modeling through diverse case studies. Topics span the modeling of discrete and continuous, static and dynamic, linear and non-linear, and deterministic and probabilistic systems. Two major dimensions of systems modeling are discussed and their efficacy is demonstrated: the building blocks of mathematical models and the centrality of the state variables in systems modeling, including: state variables, decision variables, random variables, exogenous variables, inputs and outputs, objective functions, and constraints; and effective tools in systems modeling, including multiobjective models, influence diagrams, event trees, systems identification and parameter estimation, hierarchical holographic modeling, and dynamic programming.
Course was offered Fall 2015, Fall 2013
SYS 6012Dynamic Systems (3.00)
Offered
Fall 2017
Introduces modeling, analysis, and control of dynamic systems, using ordinary differential and difference equations. Emphasizes the properties of mathematical representations of systems, the methods used to analyze mathematical models, and the translation of concrete situations into appropriate mathematical forms. Primary coverage includes ordinary linear differential and difference equation models, transform methods and concepts from classical control theory, state-variable methods and concepts from modern control theory, and continuous system simulation. Applications are drawn from social, economic, managerial, and physical systems. Cross-listed as MAE 6620. Prerequisite: APMA 2130 or equivalent.
SYS 6013Applied Multivariate Statistics (3.00)
The theory and applications of primary methods for multivariate data analysis, such as MANOVA, principal components, factor analysis, canonical correlation, and discriminant analysis, are covered in this course. Students are expected to be familiar with at least one statistical software package and with concepts of linear algebra. It is cross-listed as STAT 5130. Prerequisites: SYS 6018, SYS 4021/6021, or STAT 5120 (or their equivalents); courses in linear algebra and univariate statistics; or instructor permission.
SYS 6014Decision Analysis (3.00)
Principles and procedures of decision-making under uncertainty and with multiple objectives. Topics include representation of decision situations as decision trees, influence diagrams, and stochastic dynamic programming models; Bayesian decision analysis, subjective probability, utility theory, optimal decision procedures, value of information, multiobjective decision analysis, and group decision making. Prerequisite: SYS 6003, 6005, or equivalent.
SYS 6016Machine Learning (3.00)
A graduate-level course on machine learning techniques and applications with emphasis on their application to systems engineering. Topics include: Bayesian learning, evolutionary algorithms, instance-based learning, reinforcement learning, and neural networks. Students are required to have sufficient computational background to complete several substantive programming assignments. Prerequisite: A course covering statistical techniques such as regression. Co-Listed with CS 6316.
SYS 6018Data Mining (3.00)
Offered
Fall 2017
Data mining describes approaches to turning data into information. Rather than the more typical deductive strategy of building models using known principles, data mining uses inductive approaches to discover the appropriate models. These models describe a relationship between a system's response and a set of factors or predictor variables. Data mining in this context provides a formal basis for machine learning and knowledge discovery. This course investigates the construction of empirical models from data mining for systems with both discrete and continuous valued responses. It covers both estimation and classification, and explores both practical and theoretical aspects of data mining. Prerequisite: SYS 6021, SYS 4021, or STAT 5120.
SYS 6021Statistical Modeling I (3.00)
Offered
Fall 2017
This course shows how to use linear statistical models for analysis in engineering and science. The course emphasizes the use of regression models for description, prediction, and control in a variety of applications. Building on multiple regression, the course also covers principal component analysis, analysis of variance and covariance, logistic regression, time series methods, and clustering. Course lectures concentrate on theory and practice.
SYS 6023Cognitive Systems Engineering (3.00)
Introduces the field of cognitive systems engineering, which seeks to characterize and support human-systems integration in complex systems environments. Covers key aspects of cognitive human factors in the design of information support systems. Reviews human performance (memory, learning, problem-solving, expertise and human error); characterizes human performance in complex, socio-technical systems, including naturalistic decision making and team performance; reviews different types of decision support systems, with a particular focus on representation aiding systems; and covers the human-centered design process (task analysis, knowledge acquisition methods, product concept, functional requirements, prototype, design, and testing).
SYS 6024User Experience Design (3.00)
A case-based approach to the design of user interfaces with a focus on iterative project experiences. Display design concepts are related to ecological factors, situational awareness, attention, vision, and information processing. Project cases are tied to real-world problems of decision support on mobile platforms, large scale command and control, and data visualization, among others. Graduate version includes 4-5 advanced discussion sessions.
SYS 6026Quantitative Models of Human Perceptual Information Processing (3.00)
An introduction to the measurement and modeling of human perceptual information processing, with approaches from neurophysiology to psychophysics, for the purposes of system design. Measurement includes classical psychophysics, EEG field potentials, and single-neuron recordings. Modeling includes signal detection theory, neuronal models (leaky integrate-and-fire, Hodgkin-Huxley, and models utilizing regression, probability, and ODEs). Prerequisities: Graduate standing in Systems and Information Engineering; background courses in ordinary differential equations, statistics and probability; or consent of instructor.
Course was offered Spring 2013, Spring 2012, Spring 2011
SYS 6034Discrete-Event Stochastic Simulation (3.00)
A first graduate course covering the theory and practice of discrete-event stochastic simulation. Coverage includes Monte Carlo methods and spreadsheet applications, generating random numbers and variates, specifying input probability distributions, discrete-event simulation logic and computational issues, review of basic queueing theory, analysis of correlated output sequences, model verification and validation, experiment design and comparison of simulated systems, and simulation optimization. Emphasis includes state-of-the-art simulation programming languages with animation on personal computers. Applications address operations in manufacturing, distribution, transportation, communication, computer, health care, and service systems. Prerequisite: SYS 6005 or equivalent background in probability, statistics, and stochastic processes.
SYS 6035Agent-Based Modeling and Simulation of Complex Systems (3.00)
Complex system are composed of many independent parts, each endowed with behavioral rules that dictate its actions while the collective behavior of the overall system displays unpredictable, /emergent/ properties, thus the whole is indeed more than the sum of its parts. The course will examine the nature of complex systems as observed in many disciplines including biology, physics, economics, political science, ecology, sociology, and engineering systems. Agent-based modeling and simulation will be used as a tool for further understanding such systems. Prerequisite: Agent-Based Modeling and Simulation of Complex Systems.
SYS 6036Design of Experiments (3.00)
A problem-oriented approach to planning, design and analysis of experiments. A strategic selection of experimental design takes fundamental understanding of variability, and the skills to analyze and control it. The lectures cover a list of statistical methods and their relationship, including ANOVA, Regression, Factorial Designs and RSM. Graduate students will be tasked to propose a new method in experimental design for their final exam.
SYS 6041Ethics in Engineering Research & Practice (EERP) (3.00)
The goals of this course are to educate graduate students in SEAS in the ethical conduct of research & publication, and to facilitate the thoughtful integration of ethics into their engineering research & practice. This is done by i) engaging students in deliberative readings, discussion, & writing about EERP, and ii) using cases to consider the ethical dimensions of engineering and resources to support the engineer facing ethical dilemmas.
Course was offered Spring 2017, Fall 2014
SYS 6042Network and Combinatorial Optimization (3.00)
This course provides an introduction to network and combinatorial optimization at the level of a second graduate course in optimization. Designed to complement SYS 6003, but the course is not a pre-requisite. Solid background in linear algebra and some mathematical maturity.
SYS 6043Applied Optimization (3.00)
Presents the foundations of mathematical modeling and optimization, with emphasis on problem formulation and solution techniques. Includes applications of linear programs, nonlinear programs, and combinatorial models, as well as a practical introduction to algorithms for solving these types of problems. Topics are illustrated through classic problems such as service planning, operations management, manufacturing, transportation, and network flows. Prerequisites: Two years of college mathematics, including linear algebra, or instructor permission Note: This course cannot be applied toward completing the requirements for an M.S. or Ph.D. in Systems Engineering
Course was offered Summer 2017
SYS 6044Engineering Economic Systems (3.00)
Offered
Fall 2017
This course is an introduction to the theory of the industrial organization (from a game-theoretic perspective) and its applications to industries with strong engineering content (electricity, telecommunications, software and hardware, etc.). Topics include: congestion pricing in networks, pricing and efficiency in electricity markets, planned obsolescence in software development, "networks" effects and the dynamics of technology adoption. Prerequisite: ECON 2010, APMA 3100 or 3110.
SYS 6045Applied Probabilistic Models (3.00)
The goal of this course is to develop an operational understanding of the basic tools of probabilistic modeling, including (i) a review of undergraduate probability, (ii) introduction to Bernoulli and Poisson processes with applications, (iii) Markov chains and applications, and (iv) limit theorems. Homework and exams will emphasize the use of basic concepts of probability theory in applications. This course cannot be applied toward completing the requirements for an M.S. or Ph.D. in Systems Engineering.
Course was offered Summer 2017
SYS 6050Risk Analysis (3.00)
A study of technological systems, where decisions are made under conditions of risk and uncertainty. Topics include conceptualization (the nature, perception, and epistemology of risk, and the process of risk assessment and management) systems engineering tools for risk analysis (basic concepts in probability and decision analysis, event trees, decision trees, and multiobjective analysis), and methodologies for risk analysis (hierarchical holographic modeling, uncertainty taxonomy, risk of rare and extreme events, statistics of extremes, partitioned multiobjective risk method, multiobjective decision trees, fault trees, multiobjective impact analysis method, uncertainty sensitivity index method, and filtering, ranking, and management method). Case studies are examined. Prerequisite: APMA 3100, SYS 3021, or equivalent.
SYS 6054Financial Engineering (3.00)
Provides an introduction to basic topics in finance from an engineering and modeling perspective. Topics include the theory of interest, capital budgeting, valuation of firms, futures and forward contracts, options and other derivatives, and practical elements of investing and securities speculation. Emphasis is placed on the development and solution of mathematical models for problems in finance, such as capital budgeting, portfolio optimization, and options pricing; also predictive modeling as it is applied in credit risk management. Prerequisite: SYS 6003 or equivalent graduate-level optimization course. Students need not have any background in finance or investment.
Course was offered Spring 2010
SYS 6064Applied Human Factors Engineering (3.00)
Offered
Fall 2017
This topic covers principles of human factors engineering, understanding and designing systems that take into account human capabilities and limitations from cognitive, physical, and social perspectives. Models of human performance and human-machine interaction are covered as well as methods of design and evaluation. Prerequisite: Basic statistics knowledge (ANOVA, linear regression)
SYS 6070Environmental Systems Processes (3.00)
This course covers the design, operation, & maintenance of sustainable water and sanitation infrastructure as integrated municipal systems. It reviews mass & energy balances & unit operations as bases for the processes for water and sanitation (wasan) system design & management. It covers wasan regulation, and introduces the topic of small infrastructure. It also covers the challenges of deteriorating infrastructure, population, & climate change. Prerequisite: Graduate Standing in SEAS or Approval of Instructor
Course was offered Fall 2013, Fall 2012, Fall 2011, Fall 2009
SYS 6074Total Quality Engineering (3.00)
Comprehensive study of quality engineering techniques; characterization of Total Quality Management philosophy and continuous improvement tools; statistical monitoring of processes using control charts; and process improvement using experimental design. Prerequisite: Basic statistics or instructor permission.
SYS 6097Graduate Teaching Instruction (1.00 - 12.00)
Offered
Fall 2017
For master's students.
SYS 6555Special Topics in Distance Learning (3.00)
Special Topics in Distance Learning
SYS 6581Selected Topics in Systems Engineering (1.00 - 3.00)
Offered
Fall 2017
Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required.
SYS 6582Selected Topics in Systems Engineering (1.00 - 3.00)
Offered
Fall 2017
Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required.
SYS 6993Independent Study (1.00 - 12.00)
Offered
Fall 2017
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
SYS 6995Supervised Project Research (1.00 - 12.00)
Offered
Fall 2017
Formal record of student commitment to project research under the guidance of a faculty advisor. Registration may be repeated as necessary.
SYS 7001System and Decision Sciences (3.00)
Introduction to system and decision science with focus on theoretical foundations and mathematical modeling in four areas: systems (mathematical structures, coupling, decomposition, simulation, control), human inputs (principles from measurement theory and cognitive psychology, subjective probability theory, utility theory), decisions under uncertainty (Bayesian processing of information, Bayes decision procedures, value of information), and decisions with multiple objectives (wholistic ranking, dominance analysis, multiattribute utility theory). Prerequisite: Mathematical analysis and probability theory at an undergraduate level; admission to the graduate program.
SYS 7002Case Studies in Systems Engineering (3.00)
Under faculty guidance, students apply the principles of systems methodology, design, and management along with the techniques of systems and decision sciences to systems analysis and design cases. The primary goal is the integration of numerous concepts from systems engineering using real-world cases. Focuses on presenting, defending, and discussing systems engineering projects in a typical professional context. Cases, extracted from actual government, industry, and business problems, span a broad range of applicable technologies and involve the formulation of the issues, modeling of decision problems, analysis of the impact of proposed alternatives, and interpretation of these impacts in terms of the client value system. Prerequisite: SYS 6001, 6003, and 6005.
Course was offered Spring 2012, Spring 2010
SYS 7005Stochastic Systems II (3.00)
Provides a non-measure theoretic treatment of advanced topics in the theory of stochastic processes, focusing particularly on denumerable Markov processes in continuous time and renewal processes. The principal objective is to convey a deep understanding of the main results and their proofs, sufficient to allow students to make theoretical contributions to engineering research. Prerequisite: SYS 6005 or equivalent.
Course was offered Spring 2012, Spring 2010
SYS 7016Artificial Intelligence (3.00)
In-depth study of major areas considered to be part of artificial intelligence. In particular, detailed coverage is given to the design considerations involved in automatic theorem proving, natural language understanding, and machine learning. Cross-listed as CS 7716. Prerequisite: SYS 6016 or CS 6316.
SYS 7021Research Methods in Systems Engineering (3.00)
The study of the philosophy, theory, methodology, and applications of systems engineering provides themes for this seminar in the art of reading, studying, reviewing, critiquing, and presenting scientific and engineering research results. Applications are drawn from water resources, environmental, industrial and other engineering areas. Throughout the semester, students make a presentation of a chosen paper, followed by a discussion, critique, evaluation, and conclusions regarding the topic and its exposition. Corequisite: SYS 6001, 6003, 6005, or equivalent.
Course was offered Fall 2012, Fall 2010, Fall 2009
SYS 7027Quantitative Models of Human Judgment and Decision-making (3.00)
This course provides an introduction to quantitative methods of measuring human performance in complex systems. The focus of the selected methodologies is based on providing insight into human performance in order to guide design and/or training. Assignments involve applying the methods to a human-machine system problem. If possible the application domain will involve the student's research area of interest. Competency with regression techniques (e.g. SYS 4021 or SYS 6018) and statistics/design of experiments preferred.
Course was offered Spring 2011
SYS 7030Time Series Analysis and Forecasting (3.00)
An introduction to time series analysis and forecasting. Topics include exploratory data analysis for time-correlated data, time series modeling, spectral analysis, filtering, and state-space models. Time series analysis in both the time domain and frequency domain will be covered. Concentration will be on data analysis with inclusion of important theory. Prerequisite: SYS 6005 or equivalent, SYS 4021 or equivalent.
SYS 7034Advanced System Simulation (3.00)
Seminar on contemporary topics in discrete-event simulation. Topics are determined by student and faculty interests and may include model and simulation theory, validation, experiment design, output analysis, variance-reduction techniques, simulation optimization, parallel and distributed simulation, intelligent simulation systems, animation and output visualization, and application domains. Term project. Prerequisite: SYS 6005, 6034, or equivalent.
SYS 7042Heuristic Search (3.00)
Characterization and analysis of problem solving strategies guided by heuristic information. The course links material from optimization, intelligence systems, and complexity analysis. Formal development of the methods and complete discussion of applications, theoretical properties, and evaluation. Methods discussed include best-first strategies for OR and AND/OR graphs, simulated annealing, genetic algorithms and evolutionary programming, tabu search, and tailored heuristics. Applications of these methods to engineering design, scheduling, signal interpretation, and machine intelligence. Prerequisite: SYS 6005 or instructor permission.
SYS 7050Risk Analysis (3.00)
A study of technological systems, where decisions are made under conditions of risk and uncertainty. Part I: Conceptualization: the nature of risk, the perception of risk, the epistemology of risk, and the process of risk assessment and management. Part II: Systems engineering tools for risk analysis: basic concepts in probability and decision analysis, event trees, decision trees, and multiobjective analysis. Part III: Methodologies for risk analysis: hierarchical holographic modeling, uncertainty taxonomy, risk of rare and extreme events, statistics of extremes, partitioned multiobjective risk method, multiobjective decision trees, fault trees, multiobjective impact analysis method, uncertainty sensitivity index method, and filtering, ranking, and management method. Case studies. Prerequisite: APMA 3100, SYS 3021, or equivalent.
Course was offered Spring 2010
SYS 7052Sequential Decision Processes (3.00)
Topics include stochastic sequential decision models and their applications; stochastic control theory; dynamic programming; finite horizon, infinite horizon models; discounted, undiscounted, and average cost models; Markov decision processes, including stochastic shortest path problems; problems with imperfect state information; stochastic games; computational aspects and suboptimal control, including neuro-dynamic programming; examples: inventory control, maintenance, portfolio selection, optimal stopping, water resource management, and sensor management. Prerequisite: SYS 6005, 6014, or equivalent.
Course was offered Fall 2009
SYS 7054Multiobjective Optimization (3.00)
Analyzes the theories and methodologies for optimization with multiple objectives under certainty and uncertainty; structuring of objectives, selection of criteria, modeling and assessment of preferences (strength of preference, risk attitude, and trade-off judgments); vector optimization theory and methods for generating non-dominated solutions. Methods with prior assessment of preferences, methods with progressive assessment of preferences (iterative-interactive methods), methods allowing imprecision in preference assessments; group decision making; building and validation of decision-aiding systems. Prerequisite: SYS 6003, 6014, or equivalent.
SYS 7063Simulation Optimization (3.00)
Simulation optimization provides process and design improvement through the collection and analysis of data from controlled experimentation. This course investigates the construction of response models for systems with discrete and continuous valued responses. The course will cover design of experiments for optimization and methods for building and using response surfaces from simulation, known as simulation-optimization. Prerequisite: SYS 6001, 6005, and 6074, or instructor permission.
Course was offered Spring 2012, Fall 2009
SYS 7070Sequencing and Scheduling (3.00)
A comprehensive treatment of scheduling theory and practice. The formal machine-scheduling problem: assumptions, performance measures, job and flow shops, constructive algorithms for special cases, disjunctive and integer programming formulations, branch-and-bound and dynamic programming approaches, computational complexity and heuristics. Includes alternative scheduling paradigms and scheduling philosophies and software tools in modern applications. Prerequisite: SYS 6003, 6005, or equivalent.
SYS 7075Bayesian Forecast-Decision Theory (3.00)
Offered
Fall 2017
Presents the Bayesian theory of forecasting and decision making; judgmental and statistical forecasting, deterministic and probabilistic forecasting, post-processors of forecasts; sufficient comparisons of forecasters, verification of forecasts, combining forecasts; optimal and suboptimal decision procedures using forecasts including static decision models, sequential decision models, stopping-control models; economic value of forecasts; communication of forecasts; and the design and evaluation of a total forecast-decision system. Prerequisite: SYS 6005, 6014, or equivalent.
Course was offered Fall 2015, Fall 2014, Fall 2011, Fall 2009
SYS 7096Systems Engineering Colloquium (1.00)
Offered
Fall 2017
Regular meeting of graduate students and faculty for presentation and discussion of contemporary systems problems and research. Offered for credit each semester. Registration may be repeated as necessary.
SYS 7097Topics in Systems Engineering (1.00 - 3.00)
Seminar devoted to a specific topic in Systems Engineering methodology or application, as defined by the instructor. (Note: This course is not to be confused with the more generic Systems Engineering Colloquium (SYS 7096), required for each Systems Engineering degree program.)
Course was offered Fall 2012, Spring 2010
SYS 7555Advanced Topics in Distance Learning (3.00)
Advanced Topics in Distance Learning
SYS 7581Advanced Topics in Systems Engineering (1.00 - 3.00)
Detailed study of an advanced or exploratory topic determined by faculty and student interest. Offered as required.
SYS 7582Advanced Topics in Systems Engineering (3.00)
Detailed study of an advanced or exploratory topic determined by faculty and student interest. Offered as required.
SYS 7993Independent Study (1.00 - 12.00)
Offered
Fall 2017
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
SYS 8000TNon-UVa Transfer/Test Credit Approved (1.00 - 48.00)
Non-UVa Transfer/Test Credit Approved
SYS 8995Supervised Project Research (1.00 - 12.00)
Offered
Fall 2017
Formal record of student commitment to project research for Master of Engineering degree under the guidance of a faculty advisor. Registration may be repeated as necessary.
SYS 8999Non-Topical Research, Masters (1.00 - 12.00)
Offered
Fall 2017
Formal record of student commitment to master's research under the guidance of a faculty advisor. Registration may be repeated as necessary.
SYS 9997Graduate Teaching Instruction (1.00 - 12.00)
Offered
Fall 2017
For doctoral students.
SYS 9999Dissertation (1.00 - 12.00)
Offered
Fall 2017
For doctoral students.