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| Engineering Business | |
| EBUS 1800 | Business Fundamentals (3) |
| Offered Spring 2025 | This course introduces students to key business topics relevant to high technology companies. Students will learn how to understand and interpret financial statements and frame financial decisions, including building a business case. The course will explore typical organizational structures and the roles of business functions. Students will be introduced to business models and other concepts in marketing and business strategy. Course was offered Fall 2024 |
| EBUS 2570 | Special Topics in Engineering Business (3) |
| This course will cover various topics in engineering business. | |
| EBUS 2580 | Special Topics for Engineering Entrepreneurship (3) |
| This course will cover various topics in engineering entrepreneurship. | |
| EBUS 2720 | Marketing for Engineers (3) |
| This course will provide engineers with an introduction to all facets of marketing, including creating compelling brands, working with media, and the role of product marketing. Students will also learn how the principles of marketing are applied in a variety of roles, such as personal brands in consulting and products within large companies. | |
| EBUS 2730 | Engineers & the Art of the Deal (3) |
| This course will not only teach the key components of doing a transaction but also the skills necessary to negotiate effectively. The class will be interactive . Various case studies involving technology transactions will be analyzed and discussed. A reasonable amount of assigned reading and project work will be required. Course was offered Fall 2024 | |
| EBUS 2810 | Introduction to Technology Entrepreneurship (3) |
| Learn the fundamental issues related to starting a technology-based venture. Examine the different concepts of entrepreneurship and review cases of engineer-entrepreneurs. Explore how technology-based solutions solve economic and social world problems. Students will give several presentations and work in teams to develop a new product through patent application and business. This course is suitable for non-engineering students. | |
| EBUS 2820 | Presentation Strategies for Entrepreneurs (3) |
| This course provides real world, hands-on learning on how to start a company. Students will work in teams learning how to turn a great idea into a great company and how to present your concept to investors. | |
| EBUS 2830 | Innovation and New Ventures (3) |
| Offered Spring 2025 | An introduction to concepts innovators use to solve problems and create value by addressing unmet needs. Learn how to identify and evaluate opportunities and use proven entrepreneurial frameworks to create new products and businesses for companies of all sizes. Through class activities, projects, and presentations you will learn how storytelling, teamwork, and leadership skills are essential for starting, funding, and building your business. Course was offered Fall 2024 |
| EBUS 2850 | Government and Entrepreneurship (3) |
| Offered Spring 2025 | The course explores government contracting, how the government procures products and services, and opportunities created through government regulation. Pre-requisite: STS 1500 or ENGR 1020 or ENGR 2595-Engineering Foundations II. |
| EBUS 2860 | Introduction to Intellectual Property (3) |
| Introduces the fundamentals U.S. patent, copyright, patent law and trade secrets. Students will learn the basics of creating and filing patents. This course examines the impact of intellectual property on technological innovation and the role it plays in business strategy. The course will also touch on the growing importance of proprietary data and information. | |
| EBUS 2880 | Invention and Design (3) |
| Investigates the way technology is created and improved. Offers a collaborative learning environment in which multi-disciplinary teams invent and design several modules that emulate problems, such as the invention of the telephone or the design of an expert system. Includes readings from psychology, history, computing, ethics, and engineering. Students keep design notebooks, present team project results, and write an integrative paper. Prerequisite: STS 1500 or equivalent. | |
| EBUS 2890 | Driving Business Growth Through Innovation: Past to Present (3) |
| This course explores how technological innovations, entrepreneurs, and venture investment has shaped business cycles, impacted society, and built industry-leading companies. Students will learn from readings, case studies, guest speakers, and class discussions. In addition to lessons from the past, students will study and apply those learnings to today's significant trends, innovations, and companies. Course was offered Fall 2024 | |
| EBUS 3570 | Special Topics in Engineering Business (3) |
| This course will cover various topics in engineering business. | |
| EBUS 3580 | Special Topics for Engineering Entrepreneurship (3) |
| This course will cover various topics in engineering entrepreneurship. | |
| EBUS 3840 | Entrepreneurial Finance (3) |
| Entrepreneurial Finance will introduce finance concepts for those interested in small biz startups. Through readings, cases and guest speakers, we will review several industries, from low tech to small business manufacturing to high tech. We will explore different ways small businesses are financed and the theory and practice behind those decisions. Class participation and a entrepreneurial project will be an important part of the class. Pre-requisite: EBUS 1800 | |
| EBUS 4580 | Special Topics for Engineering Entrepreneurship (3) |
| Offered Spring 2025 | This course will cover various topics in engineering entrepreneurship. |
| EBUS 4810 | New Product Development (3) |
| Offered Spring 2025 | This course will help students understand the fundamentals of product management and how it applies to the product development lifecycle. Students will analyze cases covering different phases of the product development lifecycle, build technical and professional skills, and practice soft skills which are essential for success in the world of product. Course was offered Fall 2024 |
| Systems & Information Engineering | |
| SYS 2001 | Case Studies in Systems Engineering Concepts (3) |
| Offered Spring 2025 | Major dimensions of systems engineering will be covered and demonstrated through case studies: (1) The history, philosophy, art, and science upon which systems engineering is grounded; including system thinking and guiding principles and steps in the `systems engineering approach¿ to problem solving; and (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. Course was offered Fall 2024, Spring 2024, Fall 2023, Fall 2022, Spring 2022, Fall 2021, Spring 2021, Fall 2020, Spring 2020, Fall 2019, Spring 2019, Fall 2018, Fall 2017, Fall 2016, Fall 2015, Fall 2014, Fall 2013, Fall 2012, Fall 2011, Fall 2010, Fall 2009 |
| SYS 2048 | Introduction to Electromechanical Systems (4) |
| Students are introduced to electromechanical systems and the challenges of designing and building systems that incorporate topics from a wide-variety of disciplines, including mechanical, computer, electrical, and systems engineering and computer science. Projects will emphasize the collection and storage of data, simulation and control of systems, and self-monitoring of system performance, as well as practical skills used in prototyping. Co-requisite: APMA 2130 or MATH 3250 or APMA 2501 - Differential Equations & Linear Algebra. | |
| SYS 2054 | Systems Case Studies (3) |
| 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 2055 | Technology Leaders Colloquium (0.5) |
| 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. Course was offered Fall 2023, Spring 2021, Fall 2020, Spring 2020, Fall 2019, Spring 2019, Fall 2018, Spring 2018, Fall 2017, Spring 2017, Fall 2016, Spring 2016, Fall 2015, Spring 2015, Fall 2014 | |
| SYS 2056 | Technology Leaders Internship Colloquium (0.5) |
| 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 2021, Fall 2020, Spring 2020, Fall 2019, Spring 2019, Fall 2018, Spring 2018, Fall 2017, Spring 2017, Fall 2016, Spring 2016 | |
| SYS 2057 | Management of E-Commerce Systems (3) |
| 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. Prerequisite: ENGR 1624 or ENGR 1010 or ENGR 2595 - Engineering Foundations I | |
| SYS 2202 | Data and Information Engineering (3) |
| Offered Spring 2025 | 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. Corequisite: CS 2100 or CS 2110. Course was offered Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020, Fall 2019, Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015, Spring 2014, Spring 2013, Spring 2012, Spring 2011, Spring 2010 |
| SYS 2501 | Special Topics in Systems and Information Engineering (1 - 3) |
| 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 2502 | Special Topics in Systems and Information Engineering (1 - 3) |
| 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 2620 | Engineered Systems Public Policy (3) |
| Offered Spring 2025 | 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 and basic tools of decision analysis to critically evaluate the tradeoffs involved in developing and regulating ES through public policy. Pre-reqs: (STS 1500 or ENGR 1020 or ENGR 2595 - Engineering Foundations II) and (APMA 1110 or MATH 1320), and (CHEM 1410 or CHEM 1810), and (PHYS 1425 or PHYS 1420 or PHYS 1710). Course was offered Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017, Spring 2015, Spring 2014, Spring 2013 |
| SYS 3001 | The Art and Science of Systems Modeling (3) |
| 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 3021 | Deterministic Decision Models (3) |
| Introduction to deterministic optimization models: theory, algorithms, and applications. Coverage begins with highly structured network optimization models and ends with unstructured linear optimization models. Applications include (1) telecommunications network planning and design, (2) design and utilization of transportation and distribution networks, and (3) project management and scheduling. Corequisite: SYS 2001 and APMA 3080. | |
| SYS 3023 | Human Machine Interface (3) |
| 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. Corequisite: SYS 2001. | |
| SYS 3034 | System Evaluation (3) |
| Offered Spring 2025 | 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; presentation of system evaluation and analysis results. Illustrates the concepts and processes of systems evaluations using case studies. Pre-reqs: APMA 3120, SYS 2001, & SYS 3021. Course was offered Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015, Spring 2014, Spring 2013, Spring 2012, Spring 2011, Spring 2010 |
| SYS 3046 | Sustainability Models and Human Needs (3) |
| What is a globally sustainable standard of living? How should governments balance the desire to create national income and provide for the human needs of their citizens, against the desire to conserve natural resources and the environment for future generations? This course takes a systematic approach to answering these questions by evaluating sustainability in the context of human needs. Course was offered Summer 2021 | |
| SYS 3048 | Integrated Systems Design (3) |
| 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 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015 | |
| SYS 3054 | Systems Case Studies (3) |
| 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 3055 | Systems Engineering Design Colloquium I (1) |
| Focuses on the practice of systems engineering directly from current systems engineers. A variety of topics are covered by invited speakers from industry, government, and the academy. Discussions include engineering design projects, alternative career paths, graduate studies, professional development, and more immediate options with opportunities for summer internships and capstone projects. Prereq: 3rd Year standing in systems engineering. | |
| SYS 3060 | Stochastic Decision Models (3) |
| Offered Spring 2025 | This is an introductory course on modeling probabilistic systems. The emphasis will be on model formulation and probabilistic analysis. Topics to be covered include general stochastic processes, discrete and continuous time Markov chains, the Poisson Process, Non-Stationary Poisson Processes, Markov Decision Processes, Queueing Theory, and other selected topics. Prerequisite: APMA 3100 or MATH 3100. Course was offered Spring 2024, Spring 2023, Spring 2022, Summer 2021, Spring 2021, Summer 2020, Spring 2020, Fall 2019, Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015, Spring 2014, Spring 2013, Spring 2012, Spring 2011, Spring 2010 |
| SYS 3062 | Discrete Event Simulation (4) |
| Offered Spring 2025 | A first course in the theory & practice of discrete-event simulation. Monte Carlo methods, generating random numbers & variates, spreadsheet add-ins & applications, sampling distributions & confidence intervals, input analysis & distribution fitting. Discrete-event dynamic systems, modeling, simulation logic & data structures, output analysis, model verification & validation, comparing alternative systems, simulation optimization, case studies. Prerequisite: CS 2100, APMA 3100, and APMA 3120 Course was offered Spring 2024, Summer 2023, Spring 2023, Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015, Spring 2014, Spring 2013, Spring 2012, Spring 2011, Spring 2010 |
| SYS 3501 | Special Topics in Systems and Information Engineering (1 - 4) |
| 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 Course was offered Fall 2024, Fall 2023, Fall 2019, Fall 2018, Fall 2017, Fall 2015, Summer 2013, Fall 2012, Summer 2012, Fall 2011, Summer 2011 | |
| SYS 3502 | Special Topics in Systems and Information Engineering (0.5 - 3) |
| Offered Spring 2025 | 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 Course was offered Spring 2024, Spring 2023, January 2017, January 2015, Spring 2014, January 2014, Spring 2013, Spring 2012, Spring 2011 |
| SYS 4000 | Financial Aspects of Engineering (3) |
| 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. Course was offered Spring 2018, Spring 2017, Spring 2016, Spring 2015, Spring 2014, Spring 2013, Spring 2012, Spring 2011, Spring 2010 | |
| SYS 4021 | Linear Statistical Models (4) |
| 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. Prerequisite: CS 2100, APMA 3100 and APMA 3120. Course was offered Fall 2024, Fall 2023, Fall 2022, Fall 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Spring 2019, Fall 2018, Fall 2017, Fall 2016, Fall 2015, Fall 2014, Fall 2013, Fall 2012, Fall 2011, Fall 2010, Fall 2009 | |
| SYS 4024 | User Experience Design (3) |
| Offered Spring 2025 | 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. Course was offered Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018 |
| SYS 4036 | Design of Experiments (3) |
| 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. Course was offered Spring 2018 | |
| SYS 4044 | Economics of Engineering Systems (3) |
| "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 a course in probability (either APMA 3100, APMA 3110, or Math 3100)." Course was offered Fall 2024, Fall 2023, Fall 2022, Fall 2021, Fall 2020, Fall 2019, Fall 2018, Fall 2017, Fall 2016, Fall 2015, Spring 2015, Spring 2014, Spring 2013, Spring 2012, Spring 2011 | |
| SYS 4050 | Risk Analysis (3) |
| Offered Spring 2025 | This course is an introduction to the theory, methods, and applications of risk analysis and systems engineering. The topics include research and development priorities, risk-cost-benefit analysis, emergency management, human health and safety, environmental risk, extreme events, infrastructure resilience, system interdependencies, and enterprise systems. Corequisites: a course in probability (APMA 3100 or APMA 3110 or Math 3100). Course was offered Fall 2024, Spring 2024, Fall 2023, Spring 2023, Fall 2022, Spring 2022, Fall 2021, Spring 2021, Fall 2020 |
| SYS 4053 | Systems Capstone Design I (3) |
| A design project extending throughout the fall and spring semesters. Involves the study of a real-world, open-ended situation, including problem formulation, data collection, analysis and interpretation, model building and analysis, and generation of solutions. Students work on the same project with the same team in SYS 4053 and 4054 in subsequent semesters. Pre-requisites: SYS 2001 and SYS 2202 and FOUR of the following (SYS 3021 or SYS 3023 or SYS 3034 or SYS 3060 or SYS 3062) Course was offered Fall 2024, Summer 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Summer 2017, Fall 2016, Summer 2016, Fall 2015, Summer 2015, Fall 2014, Summer 2014, Fall 2013, Spring 2013, Fall 2012, Spring 2012, Fall 2011, Summer 2011, Spring 2011, Fall 2010, Summer 2010, Spring 2010, Fall 2009 | |
| SYS 4054 | Systems Capstone Design II (3) |
| Offered Spring 2025 | A design project extending throughout the fall and spring semesters. Involves the study of a real-world, open-ended situation, including problem formulation, data collection, analysis and interpretation, model building and analysis, and generation of solutions. Students work on the same project with the same team in SYS 4053 and 4054 in subsequent semesters. Pre-requisite: SYS 4053 Course was offered Summer 2024, Spring 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Summer 2020, Spring 2020, Summer 2019, Spring 2019, Summer 2018, Spring 2018, Fall 2017, Spring 2017, Spring 2016, Fall 2015, Spring 2015, Fall 2014, Spring 2014, Spring 2013, Fall 2012, Spring 2012, Fall 2011, Spring 2011, Fall 2010, Spring 2010 |
| SYS 4055 | Systems Engineering Design Colloquium II (1) |
| 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. Prerequisite: must have successfully completed 6 or more courses in the standard SYS curriculum (SYS 2001, SYS 2202, and 4 of the following: SYS 3021, SYS 3023, SYS 3034, SYS 3060, and SYS 3062) Course was offered Fall 2024, Fall 2023, Fall 2022, Fall 2021, Spring 2021, Fall 2020, Fall 2019, Spring 2019, Fall 2018, Spring 2018, Fall 2017, Fall 2016, Fall 2015, Spring 2015, Fall 2014, Spring 2014, Fall 2013, Spring 2013, Fall 2012, Fall 2011, Fall 2010, Fall 2009 | |
| SYS 4081 | Human-Computer Interaction (3) |
| 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 4501 | Special Topics in Systems and Information Engineering (0.5 - 3) |
| 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 Course was offered January 2021, Fall 2019, Fall 2017, Fall 2016, Fall 2015, Fall 2014, Fall 2013, Fall 2011, Spring 2011 | |
| SYS 4502 | Special Topics in Systems and Information Engineering (0.5 - 3) |
| 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 4581 | Selected Topics in Systems Engineering (0.5 - 3) |
| Detailed study of a selected topic determined by the current interest of faculty and students. Offered as required. Prerequisite: As specified for each offering. Course was offered Fall 2024, Summer 2024, Fall 2023, Fall 2022, Fall 2021, Spring 2021, Fall 2020, Fall 2019, Fall 2018, Fall 2017, Fall 2016, Fall 2015, Fall 2014, Spring 2014, Fall 2013, Spring 2013, Spring 2012, Spring 2011, Fall 2010, Spring 2010 | |
| SYS 4582 | Selected Topics in Systems Engineering (0.5 - 3) |
| Offered Spring 2025 | Detailed study of a selected topic determined by the current interest of faculty and students. Prerequisite: As specified for each offering. Course was offered Summer 2024, Spring 2024, Fall 2023, Spring 2023, Fall 2022, Spring 2022, Fall 2021, Spring 2021, January 2021, Summer 2020, Spring 2020, Fall 2019, Spring 2019, Spring 2018, Spring 2017, Spring 2016 |
| SYS 4995 | Supervised Projects in Systems Engineering (1 - 6) |
| Offered Spring 2025 | Independent study or project research under the guidance of a faculty member. Offered as required. Prerequisite: As specified for each offering. Course was offered Fall 2024, Summer 2024, Spring 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Summer 2017, Spring 2017, Fall 2016, Summer 2016, Spring 2016, Fall 2015, Summer 2015, Spring 2015, Fall 2014, Summer 2014, Spring 2014, Fall 2013, Summer 2013, Spring 2013, Fall 2012, Summer 2012, Spring 2012, Fall 2011, Summer 2011, Spring 2011, Fall 2010, Spring 2010, Fall 2009 |
| SYS 5044 | Economics of Engineering (3) |
| 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 5581 | Selected Topics in Systems Engineering (3) |
| Offered Spring 2025 | Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required. Course was offered Fall 2024, Spring 2024, Fall 2023, Fall 2022, Summer 2022, Spring 2022, Summer 2021, Spring 2021, Summer 2020, Fall 2010 |
| SYS 5582 | Selected Topics in Systems Engineering (3) |
| Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required. | |
| SYS 6001 | Introduction to Systems Analysis & Design (3) |
| 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. Course was offered Fall 2024, Summer 2024, Fall 2023, Summer 2023, Fall 2022, Fall 2021, Summer 2021, Fall 2020, Summer 2020, Fall 2019, Summer 2019, Fall 2018, Summer 2018, Fall 2017, Summer 2017, Fall 2016, Fall 2015, Fall 2014, Fall 2013, Fall 2012, Fall 2011, Fall 2010, Fall 2009 | |
| SYS 6002 | Systems Integration (3) |
| Offered Spring 2025 | 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 2024, Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2012, Spring 2010 |
| SYS 6003 | Optimization Models and Methods I (3) |
| 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 6005 | Stochastic Modeling I (3) |
| 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 6007 | Human Factors I (3) |
| Offered Spring 2025 | 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. Course was offered Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020, Fall 2018, Fall 2017 |
| SYS 6009 | The Art and Science of Systems Modeling (3) |
| 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. | |
| SYS 6012 | Dynamic Systems (3) |
| 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 6013 | Applied Multivariate Statistics (3) |
| 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 6014 | Decision Analysis (3) |
| 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. Course was offered Spring 2021, Spring 2020, Spring 2015, Spring 2014, Spring 2013, Spring 2011, Spring 2010 | |
| SYS 6016 | Machine Learning (3) |
| 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 6018 | Data Mining (3) |
| Offered Spring 2025 | 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. Course was offered Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020, Spring 2019, Fall 2018, Spring 2018, Fall 2017, Spring 2017, Fall 2016, Spring 2016, Fall 2015, Spring 2015, Spring 2014, Spring 2013, Spring 2011, Summer 2010, Spring 2010 |
| SYS 6021 | Statistical Modeling I (3) |
| 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. Course was offered Fall 2024, Spring 2024, Fall 2023, Fall 2022, Fall 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Spring 2019, Fall 2018, Fall 2017, Fall 2016, Fall 2015, Fall 2014, Fall 2013, Fall 2012, Fall 2011, Fall 2009 | |
| SYS 6023 | Cognitive Systems Engineering (3) |
| 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). Course was offered Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015, Spring 2014, Spring 2013 | |
| SYS 6024 | User Experience Design (3) |
| Offered Spring 2025 | 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. Course was offered Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018 |
| SYS 6026 | Quantitative Models of Human Perceptual Information Processing (3) |
| 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. | |
| SYS 6034 | Discrete-Event Stochastic Simulation (3) |
| Offered Spring 2025 | 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. Course was offered Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020, Fall 2015, Fall 2014, Fall 2013, Fall 2012, Fall 2011, Fall 2009 |
| SYS 6035 | Agent-Based Modeling and Simulation of Complex Systems (3) |
| 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 6036 | Design of Experiments (3) |
| 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. Course was offered Spring 2018 | |
| SYS 6041 | Ethics in Engineering Research & Practice (EERP) (3) |
| Offered Spring 2025 | 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. |
| SYS 6042 | Network and Combinatorial Optimization (3) |
| 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. Course was offered Spring 2023 | |
| SYS 6043 | Applied Optimization (3) |
| 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 2024, Summer 2023, Summer 2021, Summer 2020, Summer 2019, Summer 2018, Summer 2017 | |
| SYS 6044 | Engineering Economic Systems (3) |
| 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 Fall 2024, Fall 2023, Fall 2017, Fall 2016, Fall 2015, Spring 2015, Spring 2014, Spring 2013 | |
| SYS 6045 | Applied Probabilistic Models (3) |
| 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. Course was offered Summer 2024, Summer 2023, Summer 2021, Summer 2020, Summer 2019, Summer 2018, Summer 2017 | |
| SYS 6050 | Risk Analysis (3) |
| Offered Spring 2025 | 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. Prerequisite: APMA 3100, SYS 3021, or equivalent. Course was offered Fall 2024, Spring 2024, Fall 2023, Spring 2023, Fall 2022, Spring 2022, Spring 2021, Fall 2020, Spring 2020, Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015, Spring 2014, Spring 2013, Spring 2012, Spring 2011, Spring 2010 |
| SYS 6054 | Financial Engineering (3) |
| 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 6060 | Autonomous Mobile Robots (3) |
| This course will teach students the required skills, concepts, and algorithms to develop mobile robots that act autonomously in complex environments. The main emphasis is on mobile robot locomotion and kinematics, control, sensing, localization, mapping, path planning, and motion planning. Besides theory, students are exposed to simulation environments and lab exercises with real robotic systems. | |
| SYS 6064 | Applied Human Factors Engineering (3) |
| 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 6070 | Environmental Systems Processes (3) |
| 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 | |
| SYS 6074 | Total Quality Engineering (3) |
| 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 6097 | Graduate Teaching Instruction (1 - 6) |
| Offered Spring 2025 | For master's students. Course was offered Fall 2024, Summer 2024, Spring 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Summer 2017, Spring 2017, Fall 2016, Summer 2016, Spring 2016, Fall 2015, Summer 2015, Spring 2015, Fall 2014, Summer 2014, Spring 2014, Fall 2013, Summer 2013, Spring 2013, Fall 2012, Summer 2012, Spring 2012, Fall 2011, Spring 2011, Fall 2010, Spring 2010, Fall 2009 |
| SYS 6465 | Human-Robot Interaction (3) |
| Offered Spring 2025 | Interactions between robots and humans are influenced by form, function and expectations. Quantitative techniques evaluate performance of specific tasks and functions. Qualitative techniques are used to evaluate the interaction and to understand expectations and perceptions of the human side of the interaction. Students use humanoid robots to develop and evaluate interactions within a specific application context. |
| SYS 6555 | Special Topics in Distance Learning (3) |
| Special Topics in Distance Learning Course was offered Spring 2024, Fall 2023, Spring 2023, Fall 2022, Spring 2022, Summer 2019, Spring 2016, Spring 2012, Fall 2011, Spring 2011, Fall 2010, Spring 2010, Fall 2009 | |
| SYS 6581 | Selected Topics in Systems Engineering (1 - 3) |
| Offered Spring 2025 | Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required. Course was offered Fall 2024, Summer 2024, Spring 2024, Fall 2023, Fall 2022, Fall 2021, Fall 2020, Spring 2020, Fall 2019, Spring 2019, Fall 2018, Spring 2018, Fall 2017, Fall 2016, Fall 2015, Fall 2014, Spring 2014, Fall 2013, Spring 2013, Spring 2012, Spring 2010 |
| SYS 6582 | Selected Topics in Systems Engineering (1 - 3) |
| Offered Spring 2025 | Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required. Course was offered Summer 2024, Spring 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Spring 2019, Fall 2018, Spring 2018, Fall 2017, Spring 2017, Spring 2016, Spring 2015, Spring 2012, Spring 2010 |
| SYS 6763 | Cyber-Physical Systems: Formal Methods, Safety and Security (3) |
| Offered Spring 2025 | Cyber-physical systems (CPS) are smart systems that include co-engineered interacting networks of physical and computational components. This course will teach students the required skills to analyze the CPS that are all around us, so that when they contribute to the design of CPS, they are able to understand important safety and security aspects and feel confident designing and analyzing CPS systems. |
| SYS 6780 | Cyber-Physical Systems Technology and Ethics (3) |
| This course is designed to develop cross-competency in the technical, analytical, and professional capabilities necessary for the emerging field of Cyber-Physical Systems (CPS). It provides convergence learning activities based around the applications, technologies, and system designs of CPS as well as exploring the ethical, social, and policy dimensions of CPS work. The course also emphasizes the importance of communication as a necessary skill. | |
| SYS 6993 | Independent Study (1 - 12) |
| Offered Spring 2025 | Detailed study of graduate course material on an independent basis under the guidance of a faculty member. Course was offered Fall 2024, Spring 2024, Fall 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Summer 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Summer 2017, Spring 2017, Fall 2016, Summer 2016, Spring 2016, Fall 2015, Summer 2015, Spring 2015, Fall 2014, Summer 2014, Spring 2014, Fall 2013, Summer 2013, Spring 2013, Summer 2012, Spring 2012, Summer 2011, Summer 2010, Spring 2010, Fall 2009 |
| SYS 6995 | Supervised Project Research (1 - 12) |
| Offered Spring 2025 | Formal record of student commitment to project research under the guidance of a faculty advisor. Registration may be repeated as necessary. Course was offered Fall 2024, Summer 2024, Spring 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Summer 2017, Spring 2017, Fall 2016, Summer 2016, Spring 2016, Fall 2015, Summer 2015, Spring 2015, Fall 2014, Summer 2014, Spring 2014, Fall 2013, Summer 2013, Summer 2012, Summer 2011, Fall 2010, Summer 2010, Spring 2010, Fall 2009 |
| SYS 7001 | System and Decision Sciences (3) |
| 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. Course was offered Fall 2018, Spring 2017, Fall 2016, Spring 2016, Spring 2015, Spring 2014, Fall 2012, Fall 2010 | |
| SYS 7002 | Case Studies in Systems Engineering (3) |
| 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 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2012, Spring 2010 | |
| SYS 7005 | Stochastic Systems II (3) |
| 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 7016 | Artificial Intelligence (3) |
| 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 7021 | Research Methods in Systems Engineering (3) |
| 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. | |
| SYS 7027 | Quantitative Models of Human Judgment and Decision-making (3) |
| 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 7030 | Time Series Analysis and Forecasting (3) |
| 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. Course was offered Fall 2020 | |
| SYS 7034 | Advanced System Simulation (3) |
| 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 7042 | Heuristic Search (3) |
| 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 7050 | Risk Analysis (3) |
| 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 7052 | Sequential Decision Processes (3) |
| 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 7054 | Multiobjective Optimization (3) |
| 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 7063 | Simulation Optimization (3) |
| 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 7070 | Sequencing and Scheduling (3) |
| 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 7075 | Bayesian Forecast-Decision Theory (3) |
| Bayesian theory of forecasting and decision making; judgmental procedures and statistical models for probabilistic forecasting, post-processors of deterministic forecasts; sufficient comparisons of forecasters, verification of forecasts, combining forecasts; optimal decision models using probabilistic forecasts including static decision models, sequential decision models, stopping-control models; economic value of forecasts. Prerequisite: SYS 6005 or STAT 6190. | |
| SYS 7096 | Systems Engineering Colloquium (0) |
| Offered Spring 2025 | Weekly meeting of graduate students and faculty for presentation and discussion of contemporary systems engineering problems and research. This seminar is offered every spring and fall semesters. Course was offered Fall 2024, Spring 2024, Fall 2023, Spring 2023, Fall 2022, Spring 2022, Fall 2021, Spring 2021, Fall 2020, Spring 2020, Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Spring 2017, Fall 2016, Spring 2016, Fall 2015, Spring 2015, Fall 2014, Spring 2014, Fall 2013, Spring 2013, Fall 2012, Spring 2012, Fall 2011, Spring 2011, Fall 2010, Spring 2010, Fall 2009 |
| SYS 7097 | Topics in Systems Engineering (1 - 3) |
| 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 7555 | Advanced Topics in Distance Learning (3) |
| Advanced Topics in Distance Learning | |
| SYS 7581 | Advanced Topics in Systems Engineering (1 - 3) |
| Detailed study of an advanced or exploratory topic determined by faculty and student interest. Offered as required. | |
| SYS 7582 | Advanced Topics in Systems Engineering (3) |
| Offered Spring 2025 | Detailed study of an advanced or exploratory topic determined by faculty and student interest. Offered as required. Course was offered Spring 2024, Spring 2017, Spring 2016, Spring 2015, Spring 2014, Spring 2013, Spring 2011, Spring 2010 |
| SYS 7993 | Independent Study (1 - 12) |
| Offered Spring 2025 | Detailed study of graduate course material on an independent basis under the guidance of a faculty member. Course was offered Summer 2024, Spring 2024, Summer 2023, Spring 2023, Summer 2022, Spring 2022, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Summer 2017, Spring 2017, Fall 2016, Summer 2016, Spring 2016, Fall 2015, Summer 2015, Spring 2015, Fall 2014, Summer 2014, Spring 2014, Fall 2013, Summer 2013, Spring 2013, Summer 2012, Spring 2012, Fall 2011, Summer 2011, Spring 2011, Fall 2010, Summer 2010, Fall 2009 |
| SYS 8000T | Non-UVa Transfer/Test Credit Approved (1 - 48) |
| Non-UVa Transfer/Test Credit Approved | |
| SYS 8995 | Supervised Project Research (1 - 12) |
| Offered Spring 2025 | 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. Course was offered Fall 2024, Summer 2024, Spring 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Summer 2017, Spring 2017, Fall 2016, Summer 2016, Spring 2016, Fall 2015, Summer 2015, Spring 2015, Fall 2014, Summer 2014, Spring 2014, Fall 2013, Summer 2013, Spring 2013, Fall 2012, Summer 2012, Spring 2012, Fall 2011, Summer 2011, Spring 2011, Summer 2010, Spring 2010, Fall 2009 |
| SYS 8999 | Non-Topical Research, Masters (1 - 12) |
| Offered Spring 2025 | Formal record of student commitment to master's research under the guidance of a faculty advisor. Registration may be repeated as necessary. Course was offered Fall 2024, Summer 2024, Spring 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Summer 2017, Spring 2017, Fall 2016, Summer 2016, Spring 2016, Fall 2015, Summer 2015, Spring 2015, Fall 2014, Summer 2014, Spring 2014, Fall 2013, Summer 2013, Spring 2013, Fall 2012, Summer 2012, Spring 2012, Fall 2011, Summer 2011, Spring 2011, Fall 2010, Summer 2010, Spring 2010, Fall 2009 |
| SYS 9997 | Graduate Teaching Instruction (1 - 6) |
| Offered Spring 2025 | For doctoral students. Course was offered Fall 2024, Summer 2024, Spring 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Summer 2017, Spring 2017, Fall 2016, Summer 2016, Spring 2016, Fall 2015, Summer 2015, Spring 2015, Fall 2014, Summer 2014, Spring 2014, Fall 2013, Summer 2013, Spring 2013, Fall 2012, Summer 2012, Spring 2012, Fall 2011, Summer 2011, Spring 2011, Fall 2010, Summer 2010, Spring 2010, Fall 2009 |
| SYS 9999 | Dissertation (1 - 12) |
| Offered Spring 2025 | For doctoral students. Course was offered Fall 2024, Summer 2024, Spring 2024, Fall 2023, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022, Fall 2021, Summer 2021, Spring 2021, Fall 2020, Summer 2020, Spring 2020, Fall 2019, Summer 2019, Spring 2019, Fall 2018, Summer 2018, Spring 2018, Fall 2017, Summer 2017, Spring 2017, Fall 2016, Summer 2016, Spring 2016, Fall 2015, Summer 2015, Spring 2015, Fall 2014, Summer 2014, Spring 2014, Fall 2013, Summer 2013, Spring 2013, Fall 2012, Summer 2012, Spring 2012, Fall 2011, Summer 2011, Spring 2011, Fall 2010, Summer 2010, Spring 2010, Fall 2009 |