Develop understanding of wind load effects on structures; be able to quantify wind loads and their effects on structures based on basic theories, numerical schemes, experimental methods, full-scale observations and codes & standards.
This course provides state-of-the-art knowledge of advanced concrete materials, including high and ultra-high performance concretes, fiber-reinforced concretes, and strain hardening cementitious composites. Students will learn about the ingredients and the design philosophy behind these materials. Fracture mechanics, scale-linking, and fiber/matrix bond related concepts that are central for understanding the behaviors of these materials will be discussed. Students will gain hands-on experience of mixing and processing high performance concretes both with and without fibers, thereby learning the special techniques that are needed to make and test these materials. Durability properties of materials will get equally significant attention as the mechanical properties. Life cycle analysis and modeling of structures is also included in the last part of this course as it helps the students to appreciate the importance of the durability of materials, along with the mechanical properties, in determining the long term performance of a structure and its repair and maintenance needs. By completing this course, the instructor's expectation is that the students will be inspired to seek innovative applications of these materials in both industry and research.
This course surveys emerging technologies, including both software and hardware systems, which are intended to enhance the analysis, design, construction, performance, and asset management of bridges and highway infrastructure. Emphasis is placed on those technologies whose basic knowledge has been established but not yet fully deployed into bridge and infrastructure engineering practice. Examples may include nonlinear analysis methods and design software, energy dissipation and seismic isolation systems, accelerated construction methods, health monitoring, seismic and other retrofit methods and guidelines, integrated project delivery methods, and lifecycle asset management. Presentations by subject area experts complement those given by the instructor.
This course introduces the fundamentals of steel bridge theory, analysis, and design, including single and continuous span bridge structures. Other topics covered in the course include connection design and construction, fatigue analysis, deck design and bearing design. Industry-appropriate software is used for project work.
This course covers the basic service management functions of planning, organizing, leading, and controlling, as applied to project, team, knowledge, group/department and global settings. Discussion of the strengths and weaknesses of engineers as managers, and the engineering management challenges in the global economy will also be featured. Emphasis is placed on the integration of engineering technologies and management. Students will master the basic functions in engineering management, the roles and perspectives of engineering managers, and selected skills required to become effective engineering managers.
This course covers the fundamentals of cost accounting, financial accounting, financial management, and marketing management in order to prepare service managers to meet future challenges in the marketplace. Business cases are used to discuss technologies for promoting service innovations, globalization of both service industries and labor markets, and the impact of these emerging market forces on service enterprises and managerial functions.
This is a first course in decision analysis that extends the domain of decision making problems from those considered in traditional statistical hypothesis testing scenarios. The course consists of three major sections: 1) modeling decisions, where the emphasis is on structuring decision problems using techniques such as influence diagrams and decision trees; 2) modeling uncertainty, which covers subjective probability assessment, the use of classical probability models, Bayesian analysis, and value of information; and 3) modeling preferences, which introduces the concepts of risk preference, expected utility, and multi-attribute value and utility models. This course is dual-listed with IE 412.
Introduction to computer simulation. Topics include Monte Carlo simulation, event-oriented simulation, process-oriented simulation, continuous simulation, generating random numbers and variates, selecting input probability distributions, statistical analysis of simulation results, variance reduction techniques, design of simulation experiments, and some advanced topics in simulation modeling such as simulation metamodels, object-oriented simulation, and parallel discrete-event simulation. Prerequisites: basic statistics, some computer programming experience.
An introduction to concepts of lean thinking including it's applications to manufacturing, new product development, supply chain, service, and administration. This course focuses on the deceptively simple lean principles that provide the foundation for productions system improvement. These lean concepts are extended to service industry applications and additional enterprise functions.
Introduction to linear and nonlinear estimation methods with emphasis on both theory and implementation. Batch and sequential strategies, real-time and post-experiment estimation are covered. Includes both parameter estimation and state estimation. LEC .
Prerequisite: Some exposure to linear systems, probability, and optimization is helpful, or permission of instructor.
If you have any questions or if you are in need of assistance, contact:
Director of Online/Digital Education
School of Engineering and Applied Sciences
711 O’Brian Hall
Phone: (716) 645-0956