Presentation of material not normally available in regular courses offerings or offering of new courses on a trial basis.

Typically offered in Fall, Spring, and Summer

Presentation of material not normally available in regular courses offerings or offering of new courses on a trial basis.

Computational approaches to support civil planning, analysis, evaluation and design. Applications to various areas of civil engineering, including construction, structures, transportation and water resources.

Prerequisite: CSC 111 and (MA 341 or MA 305)

Typically offered in Fall only

Communicating effectively is central to the success of any engineering project and to advance in your engineering career. In this course you will learn principles of writing clearly and effectively for the wide range of communication activities professional engineers must do for a variety of audiences. Topics covered include writing reports, writing proposals, delivering presentations, planning and revising writing, providing feedback, and more. Students will get hands-on experience working on a wide range of documents for their career.

P: Graduate Standing

Typically offered in Fall, Spring, and Summer

Construction project management and control using network based tools, time-money analysis and other quantitative and qualitative techniques. Planning and scheduling, critical path, lead-lag, resource allocation, uncertainty, cash flow and payment scheduling, change orders, project acceleration, coordination and communication, record keeping. Emphasis on computer-based techniques.

Prerequisite: CE 463

Typically offered in Spring only

This course is offered every third semester

Student teams apply concepts and methods in field studies of real project management processes and construction operations by using principles and methods in Lean Production, Construction, Design, Assembly, Supply, Production Control, and Work Process Design.

Prerequisite: CE 463

Typically offered in Fall only

Legal aspects of contract documents, drawings and specifications; owner-engineer-constructor relationships and responsibilities; bids and contract performance, Labor laws; governmental administrative and regulatory agencies; torts; business organizations; ethics and professionalism.

Prerequisite: CE 463; Corequisite: CE 365

Typically offered in Spring only

Fundamentals of safety management principles. Detailed review of OSHA regulations and standards critical to construction engineers and managers who expect to design and administer safety related systems in a construction project. Analysis and design of example minimum safety requirements for application in construction field operations. Review of OSHA Standards for the Construction Industry, a review of selected sections of OSHA Standards for General Industry, a review of general principles of construction safety management.

Prerequisite: CE 465 or CE 466

Typically offered in Spring only

This course is offered alternate odd years

Construction is a global business. It is common to find design simultaneously performed in different countries (24/7 design); material procured from sources around the globe; and construction performed by a workforce that is multicultural, multilingual, and multinational. Because of these characteristics those involved with this profession need to embrace this reality and become more aware of the various design and construction practices found throughout the world. This course provides students with such a global awareness by revealing construction practices and innovations found in both developed and emerging countries. To introduce this global awareness, unique construction perspectives will be offered by a consortium of universities located in China, Thailand, Africa, and the U.S. Special topic lecturers will present practices found in other parts of the world including the Middle East, Europe and Central and South America.

Restriction: Graduate standing in the Department of Civil, Construction, and Environmental Engineering unless otherwise agreed upon by instructor

Typically offered in Fall and Spring

Fundamental concepts in financial and risk analysis in construction; accounting and financial metrics in construction; risk assessment and risk management in construction including the cost of risk, decision making strategies, the role of sureties, effects of risk in project delivery methods and contract types; risk effects in project financing including a review of financing sources, considerations for financing local and international projects; and the impact of financial and risk management in strategic planning in construction.

Prerequisite: ACC 220, CE 463

Typically offered in Spring only

This course is offered alternate even years

Interdisciplinary analysis of energy technology, natural resources, and the impact on anthropogenic climate change. Topics include basic climate science, energetics of natural and human systems, energy in fossil-fueled civilization, the impact of greenhouse gas emissions on climate, and technology and public policy options for addressing the climate challenge. The course is quantitative with a strong emphasis on engineering and science.

Prerequisite: Senior standing

Typically offered in Fall only

New or special course on recent developments in some phase of civil engineering. Specific topics and prerequisites identified for each section and varied from term to term.

Typically offered in Fall and Spring

Research- or design-oriented independent study and investigation of a specific civil engineering topic, culminating in final written report.

Typically offered in Fall, Spring, and Summer

Movement and fate of pollutant discharges. Development and application of analytical solutions and numerical models. Role of these models in planning and management. Mathematical programming models. Alternative management strategies: direct regulation, charges and transferable discharge permits. Multiple objectives: cost, equity and certainty of outcome.

Prerequisite: CE 339 and CE 282

Typically offered in Fall only

Examination of conflict antecedents, interventions, outcomes through multiple texts, journal articles. Emphasis on workplace conflict, organizational outcomes, dispute system design. Evaluation through participation in class discussion, independent papers, research project, presentation.

Prerequisite: Graduate standing

Typically offered in Summer only

This course is offered alternate odd years

Blends theory and research to understand and analyze interpersonal communication practices and issues within organizations, including managing impressions and conversations, engaging in active listening, managing conflict, influencing others, and communicating in teams. Focus on developing and maintaining effective interpersonal at work and improving student's communication competence.

Prerequisite: Graduate standing

Typically offered in Summer only

Theoretic and applied approaches for studying communication perspectives of organizational behavior. Topics relate communication with organizational theories, research methods, leadership, power, attraction, conflict and theory development.

Prerequisite: Advanced Undergraduate standing or Graduate standing

Typically offered in Spring only

In the current business environment, an understanding of leadership and change management is essential to career success. The objective of this course is to provide practitioners in technical fields the knowledge to lead, align and transform the human element, individuals and teams, to achieve organizational performance excellence. The class includes both individual and collaborative (team) learning. An engineering, technical, or scientific undergraduate degree is required.

Typically offered in Fall and Spring

In the current business environment, familiarity with and appreciation of finance is essential to career success. Technically competent managers must be able to speak the common language of business and to understand how their work affects the performance of their organization. The objective of this course is to provide practitioners in technical fields the financial know-how to plan, control and make decisions that achieve organizational performance excellence. The class includes both individual and collaborative (team) learning. An engineering, technical or scientific undergraduate degree is required.

Typically offered in Fall and Spring

This course covers new high-tech product development and launch from the perspective of the technical manager responsible for developing and launching new products and new lines of business within the high tech firm. Topics cover the entire spectrum of the new products development and launch process starting from concept generation and ideation and concept evaluation all the way through market testing and product launch. Each phase of the new products management process will be covered and illustrated by case studies. Students will generate a new product development and launch plan as a course project..3 credit hours.

Requirement: Graduate standing in Engineering

Typically offered in Spring and Summer

This course covers the management of complex technical products during all phases of the product life cycle. It is a broad survey of all the tools needed by the technical product manager throughout the life cycle of a complex product. The course is taught with a systems approach and from the engineering manager's viewpoint. The product life cycle includes all aspects of managing products from launch through maturity.

Requirement: Graduate standing in Engineering

Typically offered in Fall, Spring, and Summer

The course will cover project management concepts and tools focused on sustainability. All these basic concepts will be employed to discuss industry strategies and global competitiveness. People responsible for project management must develop projects that are focused and friendly for their companies, customers and the sustainability global goals. The course will provide the student an understanding of the main concepts and principles of Project Management (PM), as well as the different tools utilized in project management to support the sustainability and sustainable development theories. Lectures will focus on theoretical and practical discussion of project management and its connection with sustainability. We will also see the practical ramifications of our topics discussed in class during the class activities. Conduct of Course: This class will be conducted on-line only. Grading will be based upon performance on homework, and two examinations.

Restriction: Senior or graduate standing in engineering or a related discipline and consent of instructor. The course is open to graduate students, advanced undergraduates and practicing engineers.

Typically offered in Spring and Summer

Discussion of special topics in engineering. Identification of various specific topics and prerequisites for each section from term to term.

Typically offered in Fall, Spring, and Summer

The course aims to introduce the various types of operations research models and techniques. We will address how to formulate a wide range of decision problems using an appropriate mathematical programming model and solve them using an appropriate algorithm or solver. The emphasis will be given to Linear Programming, Network Models, and Integer Programming. Some example applications of mathematical programming to be covered in this class include production planning, network analysis, project scheduling, logistics network design, fixed charge problems, set covering problem, etc.

Prerequisites: An introductory course in linear algebra and calculus.

Typically offered in Fall, Spring, and Summer

Engineering economy analysis of alternative projects including tax and inflation aspects, sensitivity analysis, risk assessment, decision criteria. Emphasis on applications.

Prerequisite: Undergrad. courses in engineering economics and ST

Typically offered in Fall, Spring, and Summer

This course introduces students to the principles of microeconomic analysis applied to decision-making in supply chains. Emphasis will be put on strategic interactions between different decision makers in the supply chain, including suppliers, manufacturers, retailers, and consumers. Topics include classical demand and production theory, pricing and revenue management, competition between firms, and cooperation between and within firms under information asymmetry.

Prerequisite: ISE 135

Typically offered in Fall only

This course provides a comprehensive treatment of humanitarian logistics (HumLog) from an operations research perspective, focusing on the use of quantitative modeling for decision making and best practices disaster management. Background and overview on disaster management will be covered. The four phases of the disaster management cycle are introduced as well as the types of decisions that are made in each phase. Mathematical models are presented for typical humanitarian logistics decisions, such as inventory prepositioning, facility location, transportation, routing and capacity planning.

Prerequisite: ISE 361

Typically offered in Spring only

Manufacturing process engineering, primary, secondary, finishing and assembly processes. Traditional and non-traditional manufacturing processes, group technology, manufacturing analyses and application of economic analyses. Graduate standing in Engineering.

Typically offered in Fall and Summer

The course will cover Additive Manufacturing in depth as well as related topics like 3D scanning and reverse engineering. The course will be a combination of lectures and hands-on labs. The students will work on teams to completed a semester long design and 3D printing project.

Typically offered in Fall only

Rapid applications development (RAD) tools to design and implement database-based applications. The SQL database query language, a standard RAD environment and how to access information in a database from it, use of Visual Basic for Applications, and how to integrate these tools together to design and build engineering applications. Examples will be from manufacturing and production systems. Examples from manufacturing and production systems.

Prerequisite: An introductory course in programming similar to ISE 135.

Typically offered in Fall, Spring, and Summer

Methods used to improve the performance of health care delivery systems with emphasis on patient care cost, access, and quality. Adaptation of lean and six-sigma to rapid and continuous health care systems improvement through organizational and process transformation. Fundamentals of scheduling, staffing, and productivity in health systems employing simulation and optimization. Health care policy and management.

Prerequisite: ST 372 and ISE 352 and ISE 361, and ISE 441 or equivalent courses.

Typically offered in Fall only

Continuation of ISE 520 with a concentration on the completion of a healthcare systems process improvement project at the sponsoring health care institution. Project must employ the tools and techniques of healthcare systems process improvement. The project is done in conjunction with a diverse and multi-disciplinary team from the healthcare institution. The student must serve as a facilitator and coach, resulting in a project with measured success. Success will be determined by the improvement in patient care as quantified in cost, quality, and access.

Prerequisite: ISE 520

Typically offered in Spring only

This will focus on the use of optimization in Medicine. The main goal of this course is for you to develop an understanding of the recent methodological literature on optimization methods applied to medical decision making. We will cover a broad range of topics, both from the methodological perspective (study models using integer programming, dynamic programming, simulation, etc.) and from the public policy/public health perspective (who are the stake holders, what are the relevant questions modelers can answer, how is the patient taken into account, etc.).

P: ISE/OR 505 or equivalent and ISE 560 or equivalent or permission by instructor

Typically offered in Spring only

This course intends to provide a comprehensive treatment on the use of quantitative modeling for decision making and best practices in the service industries. The goal of this class is to teach students to able to identify, understand, and analyze services; and acquire the quantitative skills necessary to model key decisions and performance metrics associated with services. Students will be exposed both to classical and contemporary examples of challenges and opportunities that arise when working in the service sector.

Prerequisite: ISE 361

Typically offered in Spring only

The objective of this course is to build on your knowledge of computing and data analysis by focusing on programming using the Python language. IN particular, you will learn more about the Python and its ecosystem of libraries, how to use data structures in Python programs, conduct File I/O operations, and perform numerical and scientific computing within Python. This course is designed for senior undergraduate and graduate students to get the basics of the Python language and learn to use it to perform scientific computing within Python with two of its most popular packages in use for heavy data intensive analysis - Numpy and SciPy. Several engineering examples from physics, industrial engineering core courses and general engineering will be used to contextualize the programming examples.

Prerequisites: ST 370 OR ST 371 and ISE 135 OR CSC 111 OR CSC 113 OR CSC 116 or ST 307 OR ST 308 OR ECE 209. Restrictive Statement: Department Approval Required

Typically offered in Fall only

In this course, graduate students will learn basic data science methodologies. Examples of the methodologies include linear regression, generalized linear models, regularization and variable selection, and dimensionality reduction. In addition, students will also learn how to use these methods to solve real-world Industrial Engineering-related problems by analyzing industrial datasets and projects.

Prerequisite: ST 370: "Probability and Statistics for Engineers" or equivalent

Typically offered in Fall only

Machine learning has become integral to engineering analytics, significantly improving predictive capabilities and providing valuable insights from complex datasets. In engineering, machine learning models can analyze vast amounts of data from multiple sources to identify patterns and make accurate predictions. These predictions can optimize system performance, predict equipment failures, and improve maintenance schedules. Machine learning techniques transform how engineers approach problem-solving, enabling them to make more informed decisions and implement more effective solutions. One of the critical aspects of this course is the focus on practical examples and hands-on experience with machine learning tools and techniques. Through lectures, case studies, interactive assignments, and projects, students will gain a comprehensive understanding of machine learning applications in engineering analytics. The course will cover fundamental machine learning concepts, such as supervised and unsupervised learning, classification, regression, anomaly detection, and clustering.

Typically offered in Fall and Spring

This course is designed for engineering managers to develop the skills necessary to manage AI and machine learning projects. It covers a broad range of AI topics including the various methods and algorithms (such as machine learning, deep learning, and large language models) and associated applications in different industries. The focus is on understanding the technical aspects of AI sufficient to manage teams, make informed decisions on AI adoption, and create project plans that estimate resources, costs, and timelines. The course aims to equip managers with the knowledge to assess the impact of AI on their firms and the broader economy. It is not a technical course for becoming an AI/ML engineer, but rather a management-oriented course to help in the deployment and oversight of AI projects.

Typically offered in Fall, Spring, and Summer

Introduction to problems of the systems development cycle, including human-machine function allocation, military specifications, display-control compatibility, the personnel sub-system concept and maintainability design. Detailed treatment given to people as information processing mechanisms.

Prerequisite: IE 452 or PSY 340, Corequisite: ST 507 or 515

Typically offered in Spring only

This course aims to equip students with a comprehensive understanding of workplace safety, emphasizing the importance of creating a safe and healthy environment for all workers. It covers the fundamentals of occupational safety, including safety regulations and control methods, and provides a working knowledge of the occupational safety and health standards. Through case studies, classroom interaction, and real-world examples, students will develop problem-solving skills essential for identifying and eliminating potential hazards during the design and engineering phases of new products or facilities. Additionally, the course introduces various online resources to help address safety issues in the workplace.

Typically offered in Spring only

Anatomical, physiological, and biomechanical bases of physical ergonomics. Strength of biomaterials, human motor capabilities, body mechanics, kinematics and anthropometry. Use of bioinstrumentation, active and passive industrial surveillance techniques and the NIOSH lifting guide. Acute injury and cumulative trauma disorders. Static and dynamic biomechanical modeling. Emphasis on low back, shoulder and hand/wrist biomechanics.

Prerequisite: Graduate standing

Typically offered in Fall only

Health professional are capable of collecting massive amounts of data and look for best strategies to use this information. Healthcare analytics have the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases and improve the quality of life in general. This course will explore some of the frequently used data science methods in healthcare and examine a compilation of the most recent academic journal articles on the subject. Students are expected to have a strong background in optimization and stochastic modeling.

Prerequisite: ISE 362

Typically offered in Fall only

Basic issues in operating supply chains, using state of the art modeling tools available for their analysis. Emphasis on using engineering models to develop insights into the behavior of these systems.

Prerequisite: ISE 361 and ST 372

Typically offered in Spring only

This course is offered alternate even years

New product development is a critical process that crosses multiple functional areas in a firm. In today's globally competitive business environment, new product development is not a strategic option - it is a fundamental prerequisite for a company's survival, organizational renewal, and economic prosperity. Innovative design and new product development is not the domain of any one function, but a multidisciplinary process that requires coordination, communication, and integration. This course accomplishes design-business-engineering collaboration by creating cross-disciplinary teams whereby students learn and apply the necessary skills to design, develop and prototype an innovative product solution that meets market needs.

Typically offered in Fall only

This course aims to introduce students on the power of digital manufacturing and design technologies, particularly how product data can seamlessly transfer through the entire lifecycle of a manufactured product. Students will also be introduced to methods to design and build plugin apps that interface with the design models. All hands-on modeling and virtual manufacturing exercises will be in Autodesk Fusion 360, a cloud based design and manufacturing software.

R: ISE 316 or Graduate Standing

Typically offered in Fall only

ISE/OR 560 will introduce mathematical modeling, analysis, and solution procedures applicable to uncertain (stochastic) production and service systems. Methodologies covered include probability theory and stochastic processes including discrete and continuous Markov processes. Applications relate to design and analysis of problems, capacity planning, inventory control, waiting lines, and service systems.

Typically offered in Fall only

This course concentrates on design, construction, and use of discrete/continuous simulation object-based models employing the SIMIO software, with application to manufacturing, service, and healthcare. The focus is on methods for modeling and analyzing complex problems using simulation objects. Analysis includes data-based modeling, process design, input modeling, output analysis, and the use of 3D animation with other graphical displays. Object-oriented modeling is used to extend models and enhance re-usability.

Typically offered in Spring only

Special developments in some phase of industrial engineering using traditional course format. Identification of various specific topics and prerequisites for each section from term to term.

Investigation and written report on assigned problems germane to industrial engineering. Maximum of six credits to be earned for MIE degree.

Prerequisite: MIE candidates

Typically offered in Fall, Spring, and Summer

Introduction to basic concepts of quality engineering. Statistical process control (SPC) methods, acceptance sampling techniques, concept of parameter design and statistical as well as analytical techniques for its implementation, tolerance analysisand design, components of cost of poor quality and an introduction to quality management.

Prerequisite: an undergraduate or graduate course in probability and statistics (similar to ST 371 and ST 372 or ST 515), and fluency in a computer programming language or spreadsheet.

Typically offered in Spring only

This course is offered alternate years

Elements of logistics networks. Supply chain design: facility location and allocation; great-circle distances; geocoding. Multi-echelon production and inventory systems; sourcing decision systems. Vehicle routing: exact, approximation, and heuristic procedures; traveling salesman problem; basic vehicle routing problem and extensions; backhauling; mixed-mode transportation system design.

Prerequisite: ISE 453

Typically offered in Spring only

Major themes and strategies of supply management relationships. The focus is on establishing a basis for collaborative relationships with suppliers through focused market intelligence research, relationship assessment and management, negotiation, collaborative contracting, and on-going management of relationships in global supply chains. Emphasis on the importance of collaboration through the application of practical tools and approaches that drive mutually beneficial outcomes. Core processes around initial exploration and assessment of supply chain relationships, establishing metrics/expectations for the relationship, crafting and managing contracts, and sustaining continuous performance improvement in sourcing, logistics and operations. Every student will participate in a team-based supply chain project with an organization and will learn the team-based, deadline-driven nature of supply chain initiatives in a real-company setting.

Co-requisite: ITAO 540 Operations and Supply Chain Management

Typically offered in Fall and Spring

This course focuses on building a framework for understanding how operations decisions are made and how those decisions shape the firm's ability to effectively utilize its physical and human resources. It further explores how the physical and human resources help meet customer requirements through processes that convert diverse inputs into customer-valued outputs. Key topics include metrics for flow rate, flow time, and work in process, and the influence of resource decisions, uncertainty, buffering, batching, and control policies like "push" and "pull." Excel-based simulations and case studies are used to illustrate the principles and concepts listed above.

Prerequisite: ITAO 540 or equivalent engineering course

Typically offered in Fall and Spring

Structured framework for modeling and analyzing business decisions in the presence of uncertainty and complex interactions among decision parameters. Topics include decision models, value of information and control, risk attitude, spreadsheet applications, and decision analysis cycle. Interactive case study.

Typically offered in Fall, Spring, and Summer

Strategic Operations Management, analyzes the various operations that are ongoing in a firm and how they relate to the organization's business strategy. This course teaches students how to evaluate and formulate an operations strategy and to analyze operational decisions which impact a firm's competitive position. The course builds upon the foundational concepts and models students have seen in previous operations courses to illustrate how operations fits within an organization and can be used as a competitive advantage.

R: Students taking this course need to have successfully completed ITAO 540 : Principles of Operations and Supply Chain Management.

Typically offered in Spring only

In this course, students examine some of the difficult tradeoffs they may face as an operations manager when sustainability issues arise. The course places a strong emphasis on interactive, practice-based learning through case discussions, a simulation, breakout sessions, and industry speaker/s. Topics discussed include supply chain disruption, resource management, sustainable sourcing, compliance and standards, supply chain transparency, and business model innovation.

Typically offered in Spring only

The objective of the course is to build an understanding of how to manage and improve the performance (efficiency and responsiveness) of operations and supply chains through decision making that is based on analysis and facts, rather than intuition. The course introduces fundamental aspects of operations and supply chain management as well as analytical modeling tools and techniques that can be used to support decision making (e.g., optimization, regression analysis, simulation). The approach taken in the course is entirely example-based and hands-on, since all these techniques will be implemented in Excel, either with Excel's built-in tools or with Excel add-ins.

Corequisites: ITAO 540 and ITAO 551

Typically offered in Fall only

Research project examining supply chain management issues at an organization, usually a member of the Supply Chain Resource Cooperative. Projects will typically focus on procurement, logistics, materials management, operations, or integrated supply chain issues.

Prerequisite: ITAO 540

Typically offered in Spring only

This course is designed around the full analytics lifecycle which encompasses the business problem, the data, the analysis, and the decision. Students will learn to identify and clearly explain business problems that can be addressed with analytics. They will learn to determine which analytic methods are best suited to solve particular problems and clearly explain the results of an analytic model and how those results might impact the business bottom line. Analytical methods to be covered include data, visualization, a review of regression analysis; logistic regression; classification and regression trees (including boosting and bagging methodologies); and clustering (segmentation) methods. Students will also develop at least a beginning proficiency with several statistical software packages including Tableau, JMP, R, and SAS Enterprise Miner. Emphasis will be placed on analyzing real data and understanding how analytical thinking can be applied to solve big data problems.

Prerequisites: ITAO 550 and ITAO 551

Typically offered in Fall, Spring, and Summer

This course examines how to collect and process data to make it useful, how to validate, protect, and process data to make it available, and how to create a place to properly store data.

Typically offered in Fall, Spring, and Summer

Life cycle view of organizing and managing technical projects, including project selection, planning, and execution. Methods for managing and controlling project costs, schedules, and scope. Techniques for assessing project risk. Use of popular project management software tools. Application of project management tools and methods to product development, software, and process reengineering projects.

Typically offered in Spring and Summer

This course focuses on solving a real-world business problem that includes a heavy data analytic component. The business problem will vary according to the client but could include problems from finance, human resources, marketing, finance, supply chain, or other management areas.

Prerequisite: ITAO 550 and ITAO 551 and ITAO 552

Typically offered in Fall and Spring

Presentation of material not normally available in regular courses offerings or offering of new courses on a trial basis.

Typically offered in Fall, Spring, and Summer

This course is designed to help students with an engineering or scientific undergraduate degree understand the world of business. The class will cover key business functions including finance, marketing, operations, strategy, organizational behavior. Students will undertake a semester-long group project to design and plan for a new company or new product within an existing company. Restricted to students with an engineering, scientific, or other technical background.

Typically offered in Fall and Spring

Leading effectively in a technology firm requires quickly adapting to a rapidly changing environment. Whether you are currently in a leadership role or aspire to one, this class will provide the opportunity for you to explore relevant work environment issues. We will explore a wide range of current leadership trends and issues in technology firms, including motivating change with social networks, employee engagement (psychological contracts and perceived organizational support), burnout and work-family balance, generational differences, myths about personality tests, diversity, and the Great Resignation.

Typically offered in Fall and Spring

This course is designed for aspiring entrepreneurs and innovators eager to explore the complex landscape of starting and growing a new venture outside and inside an existing organization. The curriculum is structured to take students through a thorough journey, beginning with personal development and team building, continuing through critical elements of venture creation such as market analysis and strategic planning, and culminating in the practical application of these concepts through presentations and the development of a final new venture report. Students will explore their personal entrepreneurial strengths and weaknesses, focusing on elements driving change within themselves and in the context of other stakeholders. They will then acquire technical and market analysis knowledge, gain insights into product and market-led innovation, and engage in exercises to clarify market needs, problems, value propositions, and customer pain points.

Prerequisite: Graduate standing

Typically offered in Fall, Spring, and Summer

Application of the process-based model for new business startups to multiple clients. Emphasis is placed on data gathering, data analysis and data interpretation in the context of evaluating opportunities for new business. Students work in teams on a variety of projects with technology commercialization clients such as Wolfpack Investment Network and Office of Technology Commercialization and New Ventures.

Typically offered in Fall and Spring

Presentation of material not normally available in regular courses offerings or offering of new courses on a trial basis.

Typically offered in Fall, Spring, and Summer

Examination of generalized budgetary process used at all levels of government in the U. S. Understanding of the process based upon comprehension of institutions involved, roles of politicians and professionals and the objectives of budgetary systems. Focus also upon budgetary reforms and on Planning-Programming-Budgetary and Zero-Based Budgeting as management tools.

Prerequisite: Graduate standing or PBS status

Typically offered in Fall and Spring

The planning function at all levels of government in the U. S., with particular attention to problems posed for planning by rapid growth of metropolitan areas. Overview of community development, urban spatial structure, housing economics and land use planning.

Prerequisite: Graduate standing or PBS status

Typically offered in Spring only

This course is offered alternate odd years

This course introduces important ideas about collecting high quality data and summarizing that data appropriately both numerically and graphically. We explore the use of probability distributions to model data and find probabilities. Estimation of parameters and properties of estimators are discussed. Construction and interpretation of commonly used confidence intervals and hypothesis tests are investigated. Students will gain considerable experience working with data. Software is used throughout the course with the expectation of students being able to produce their own analyses.

Prerequisite: Graduate standing

Typically offered in Fall and Spring

An introduction to the foundations of probability theory and mathematical statistics useful for research in engineering. Topics include descriptive statistics, probability, discrete and continuous random variables and probability distributions, joint probability distributions and random samples, point estimation, confidence intervals, hypothesis testing, and analysis of variance.

Prerequisite: Graduate standing

Typically offered in Fall and Spring

This course is intended to give students a background in the methods of statistical analysis and design of experiments that will assist them in conducting research and analyzing data in engineering. Concentration in this course will be on principles of the design of experiments and analysis of variance and regression including post-hoc tests, inference for simple regression, multiple regression, and curvilinear regression.

Prerequisite: ST 515

Typically offered in Fall and Spring

Course covers basic methods for summarizing and describing data, accounting for variability in data, and techniques for inference. Topics include basic exploratory data analysis, probability distributions, confidence intervals, hypothesis testing, and regression analysis. This is a calculus-based course. Statistical software is used; however, there is no lab associated with the course. Credit not given for this course and ST 511 or ST 513 or ST 515. This course does NOT count as an elective towards a degree or a minor in Statistics. Note: the course will be offered in person (Fall) and online (Fall and Summer).

Prerequisites: MA 241 or equivalent (Calculus II) and MA 405 or equivalent (Linear Algebra)

Typically offered in Fall and Summer

This second course in statistics for graduate students is intended to further expand students' background in the statistical methods that will assist them in the analysis of data. Course covers many fundamental analysis methods currently used to analyze a wide array of data, mostly arising from designed experiments. Topics include multiple regression models, factorial effects models, general linear models, mixed effect models, logistic regression analysis, and basic repeated measures analysis. This is a calculus-based course. Statistical software is used, however, there is no lab associated with the course. Credit not given for this course and ST 512 or ST 514 or ST 516. Note: this course will be offered in person (Spring) and online (Fall and Spring).

Prerequisite: ST 517

Typically offered in Fall and Spring

Course discusses current big data management practices and software along with statistical paradigms important for big data and predictive analytics. Literate programming and good programming practices are covered.

Prerequisite: ST 511 or ST 513 or ST 517

Typically offered in Spring only

An introduction to programming and data management using SAS, the industry standard for statistical practice. Detailed discussion of the program data vector and data handling techniques that are required to apply statistical methods. Topics are based on the current content of the Base SAS Certification Exam and typically include: importing, validating, and exporting of data files; manipulating, subsetting, and grouping data; merging and appending data sets; basic detail and summary reporting; and code debugging. Additional topics with practical applications are also introduced, such as graphics and advanced reporting. Statistical methods for analyzing data are not covered in this course. Regular access to a computer for homework and class exercises is required. Previous exposure to SAS is not expected.

Prerequisite: Graduate standing

Typically offered in Fall, Spring, and Summer

Methods for reading, manipulating, and combining data sources including databases. Custom functions, visualizations, and summaries. Common analyses done by data scientists. Methods for communicating results including dashboards. Regular access to a computer for homework and class exercises is required.

Prerequisites: (ST 511, ST 513, ST 517, or equivalent) and (ST 555 or moderate computer programming experience)

Typically offered in Fall and Summer

This is a hands-on course using modeling techniques designed mostly for large observational studies. Estimation topics include recursive splitting, ordinary and logistic regression, neural networks, and discriminant analysis. Clustering and association analysis are covered under the topic "unsupervised learning," and the use of training and validation data sets is emphasized. Model evaluation alternatives to statistical significance include lift charts and receiver operating characteristic curves. SAS Enterprise Miner is used in the demonstrations, and some knowledge of basic SAS programming is helpful.

Prerequisite: ST 512 or ST 514 or ST 515 or ST 516 or ST 517

Typically offered in Spring only

This course will introduce common statistical learning methods for supervised and unsupervised predictive learning in both the regression and classification settings. Topics covered will include linear and polynomial regression, logistic regression and discriminant analysis, cross-validation and the bootstrap, model selection and regularization methods, splines and generalized additive models, principal components, hierarchical clustering, nearest neighbor, kernel, and tree-based methods, ensemble methods, boosting, and support-vector machines.

Prerequisite: ST 512 or ST 514 or ST 515 or ST 517

Typically offered in Fall and Spring

Individual or team project work in integrated manufacturing systems engineering resulting in an engineering report. Required of all degree candidates in IMSE master's program. Forms the basis for IMSE student's final oral examination.

Prerequisite: Graduate standing in IMSE

Typically offered in Fall, Spring, and Summer

Systematic approach (Lean Six Sigma philosophy) for improving products and processes. Defining the improvement opportunity, measurement system analysis, data collection, statistical analysis, design of experiment (DOE) methods, and statistical process control (SPC) methods. Application of Lean Six sigma methods to improve product or process.

Prerequisite: ST 361 and ST 371, or equivalent

Typically offered in Fall and Spring