This course deals with cost estimation techniques applicable in an engineering environment. Initial and detailed cost estimation methods for the conceptual design, detailed design, production, and phase out segments of the life cycle will be discussed. Cost centers, distribution of overhead/burden rates, heuristic estimation methods, and data collection for cost estimation, as well as cost/benefit analyses, and the effect of financing on project costs are major topics for this course. 3 Credits
3 Credits

This course explains the principles of managing engineers and their work in technology with a view towards developing more qualified technical managers. Engineers and scientists spend 2/3 of their professional careers managing technical people within technology infused organizations. This course is designed to help them become more effective managers of engineers, scientists and the technology that they often create and implement in their organizations. The course will cover an introduction to the Engineering Management discipline first and then go deeper into the functions of technology management that engineers and scientists should know. This will be reinforced by the product life cycle as part of the process of managing technology. The course will consist of discussions related to managing technical projects and engineering management career planning for achieving professional effectiveness in a technology infused work environment. 3 credits
3 Credits

This course deals with the design and implementation of engineered systems. The selection and evaluation of system performance parameters such as utilization, efficiency, unit cost, and output capacity is discussed. System automation and integration methods and techniques are explored. 3 Credits
3 Credits

This course deals with the design, evaluation, selection, control, and organization of technical projects. Major topics include scheduling, budgeting, planning, and monitoring practices. Additional topics include proposal preparation, information systems, and strategic issues. 3 credits 3 Credits
3 Credits

This course covers stochastic system modeling and computer-based discrete events simulation methods. The fundamental probabilistic distributions representing system performance and behavior are introduced. Data requirements and collection for system modeling are discussed. The course also covers the process of designing successful simulation projects and analyzing simulation results. Students will design, build, verify, and validate computer-based system simulation models using industry-accepted simulation software.
Prerequisites: (ENGR5010, ENGR5020 or ENGR5030) or Department Head Permission 3 Credits
3 Credits

This course deals with the relationships between product cost, material selection, process selection, and product design. Data collection for material selection is discussed, material and process selection methods are explored, and projects in these areas are carried out.
Prerequisite: ENGR5010 3 Credits
3 Credits

This course will cover the applications of the principles of robotics and automation to design, develop, specify, implement and optimize work cells for various industrial applications such as materials handling, manufacturing operations, assembly and inspection. Integration of robots with other robots and automation devices, machine vision and sensors. Theory and application of ANSI/RIA Robot safety guidelines in work cells and robotic applications. 2 credits
2 Credits

Course description unavailable, please contact Academic Services.

1 Credits

Computational Optimization in Engineering Management teaches mathematical programming solvers with applications in supply chain analytics, finance, accounting, and marketing on a social network. It also discusses how to make a data driven decision based on clustering analysis. The students will perform challenging projects of finance/accounting and marketing on a social network. The students learn how to model real world problems as mathematical programming formulations and feed the models to mathematical programming solvers. This course introduces a variety of problems in supply chain analytics, finance, accounting, marketing, and social network analytics. The students model the problems and solve them on small scale of problem instances using Excel Solver Add-In. Then the problem scale is extended to large real world problem instances and the problems are solved by mathematical programming solvers. Programming in Python, the students feed a large scale of data to mathematical programming solvers and decode the output files from the solvers. 3 Credits
3 Credits

Significant part of manufacturing engineers work in industry is in these new technologies that are becoming increasingly vital to manufacturing competitiveness. This course will cover the use of the Stereo lithography technology in rapid prototyping and reverse engineering for industrial applications.
2 Credits

Course description unavailable, please contact Academic Services.

1 Credits

A significant part of manufacturing engineers' work in industry is in these new technologies that are becoming increasingly vital to manufacturing competitiveness. This course will cover the use of 3D printing techniques in rapid prototyping and reverse engineering for industrial applications. This course includes laboratory exercises.
Prerequisite: ENGR5010 or ENGR5020 or ENGR5030 3 Credits
3 Credits

The relationship between cost, production capacity, system performance, work in process inventory levels, and finished goods inventory levels is explored. Topics covered also include inventory systems, scheduling, and typical industrial constraints. Both deterministic and stochastic inventory control models are introduced, and inventory control strategies are explored. Credits: 2 lecture, 1 lab
Prerequisite: ENGR5010 or ENGR5020 or ENGR5030 3 Credits
3 Credits

This course introduces the basic mechanisms for the transfer and storage of energy. Furthermore, this course will discuss current research developments in energy storage. Class presentations will be integrated with hands-on demonstration activities. Students will learn the basic chemistry and physics behind thermal, chemical, mechanical and electrical forms of energy storage. The science behind hydrogen economics, fuel cell technologies, biofuels, and conventional and future battery technologies will be elucidated. 3 Credits
3 Credits

This course is an introduction to safety engineering and management, work design, accident causation and investigation, and workers compensation as applied to industrial situations. The student will understand the role of hazard recognition and be provided with government standards and regulations. Job safety analysis, reduction of accident rates, personal protective equipment, environmental hazards, operational analysis, and workstation organization are among topics covered. ENGR 6025 is offered in two delivery modes: synchronous online and on-campus. Students opting for the synchronous online delivery mode option must attend the live weekly lectures on the date and time as the course details indicate 3 Credits
3 Credits

This course trains engineering students to enter the field of technical sales or manage a technical sales force. A sales engineer is required to understand and communicate technical specifications and service for a product to a variety of stakeholders (both technical and non-technical). The course will explore the relationship between sales engineers and the other business units within the company and their role when interfacing with customers. Students will learn by role playing in various scenarios while developing a well-researched sales approach for a technical product. Students will also learn how to calculate return on investment, utilize customer relationship management systems, handle objections, and many other skills utilized by sales engineers. 3 Credits
3 Credits

This course focuses on the practice of engineering and technology management with a view towards developing more qualified technical managers through case studies. Engineers and scientists spend 2/3 of their professional careers managing technical people within the technology infused organizations. This course is designed to help them become more effective managers of engineers, scientists and the technology that they often create and implement in their organizations. The course will cover an introduction to the strategic role of engineering and technology in modern corporations, then review a case based methodology for class use during the rest of the semester. Product development and team-based management will be explained followed by the technology procurement and transfer. Innovation in manufacturing, research, development and commercialization of technology will be explained and illustrated by case studies. The course will be completed by discussions on cost and technology and the use of engineering management strategy as a part of corporate strategy to achieve competitive advantage in modern economy.
Prerequisite: ENGR5010, ENGR5020 or ENGR5030 3 Credits
3 Credits

This course focuses on the strategic use of engineering, technology and innovation with a view towards developing more qualified technical managers. Engineers and scientists spend 2/3 of their professional careers managing technology within technology infused organizations. This course is designed to help the students become more effective managers of technology that they often create and implement in their organizations. The course will cover the intergration of technology and strategy with innovation in modern corporations. Design and evolution of technology strategy will then be illustrated with readings and case studies. Enactment of technology strategy to develop the corporate innovative capabilities will be discussed leading to the creation and implementation of a development strategy to achieve competitive advantage. 3 credits
Prerequisites: ENGR 5010 or 5020 or 5030 and 6040 3 Credits
3 Credits

This course will introduce students to engineering management in an increasingly global environment and will cover topics in engineering education and licensing, international research and development strategies, global engineering services trends, international manufacturing and supply chains, delivery of construction services throughout the world and the use of informtion and communications technology to facilitate global engineering planning and design.
Prerequisite: ENGR5010, ENGR5020, or ENGR5030 3 Credits
3 Credits

This course builds skills for the process of developing winning technical proposals. Students learn the importance of identifying client requirements and desires, and subsequently articulate and prove why the proposed approach is superior to alternatives. Technical literature and features are used in the proposal to support an argument for selection. Students will be required to make a preliminary review of the literature and develop mock proposals.
3 Credits

This course will provide the students with a thorough survey of experimental methods to be used in research for engineering management. The students will learn how to plan for experiments, use the advanced statistical tools that will be involved, design the experiments with an understanding of different types of factors, run the experiments, analyze data and interpret and apply findings.
Prerequisite: ENGR5010 or ENGR5020 or ENGR5030 3 Credits
3 Credits

This course introduces fundamental aspects of Lean Manufacturing and synthesizes them into a strategy for manufacturing leaders. Common obstacles and barriers that may be encountered in a lean manufacturing environment are discussed. Examples are provided to illustrate how lean manufacturing principles can transform traditional manufacturing into modern advanced manufacturing enterprises with a specific focus on human aspects.
3 Credits

This course is for the thesis students enrolled in the graduate program in Engineering Management. The student can enroll in 1-6 credits as approved by the academic advisor. The course includes research work that leads to the completion of a thesis under the supervision of the academic advisor.
Prerequisite: Permission of the School Dean 1 Credits
1 Credits

This course is for the thesis students enrolled in the graduate program in Engineering Management. The student can enroll in 1-6 credits as approved by the academic advisor. The course includes research work that leads to the completion of a thesis under the supervision of the academic advisor.
Prerequisite: Permission of the School Dean 3 Credits
3 Credits

This course develops a fundamental understanding of the perspectives and tools used to perform system analyses and make decisions in the healthcare context. After completing this course, students should be able to: identify the needs, requirements, and limitations of a healthcare system; evaluate healthcare system quality; and model and improve healthcare system performance. 3 Credits
3 Credits

The course will provide an overview of project management techniques and tools as they apply to healthcare operations, projects and programs.
Prerequisites: ENGR6200 and/or Department Approval 3 Credits.
3 Credits

This course will provide a broad framework for understanding and applying commonly used research methodologies and data analysis techniques in healthcare improvement and management.
3 Credits

This course introduces students to mathematical and computational modeling and simulation methods to better understand, evaluate, and improve health systems. 3 Credits
3 Credits

This course provides a broad vision of Lean as a catalyst for organizational culture change and continuous improvement.
3 Credits

Service industries, managing service systems, design and analysis of service systems using Operations Management/Operations Research (OM/OR) techniques, evaluation and optimization of the performance of service systems, service industry applications.
Prerequisites: ENGR6200 and/or Department Approval 3 Credits
3 Credits

The course will deal with human factors and design issue related to healthcare. This will include the design of healthcare facilities based on Evidence based design, methodology and task analysis in healthcare, future healthcare technologies (operating room of the future, telemedicine, health smart home), data display in medical systems (auditory, visual, tactile, olfactory, multimodal), errors in medicine, damage from bad design and design for special populations (gender, elderly, disabilities,)
3 Credits

The purpose of the course is to teach cloud computing concepts and architectures within the context of AWS. In addition, the course will help the students to prepare for the Amazon AWS Solutions Architect certification. The students will become familiar with the Amazon cloud computing architecture and several essential cloud services such as Elastic Compute Cloud (EC2), Virtual Private Cloud (VPC), and Relational Database Service (RDS). They will use a variety of business cases to design cloud architectures and solutions using AWS. They will create instances in the cloud and manage their clouds with the help of Elastic Load Balancing (ELB), Amazon Cloud Watch, Auto Scaling, and other AWS services.
Prerequisites: None 3 Credits
3 Credits

Course description unavailable, please contact Academic Services.

1 Credits

Course description unavailable, please contact Academic Services.

2 Credits

This course consists of a well defined and academically supervised cooperative engineering experience at an industrial site or in a laboratory setting working towards completion of an applied or basic research project for graduate students. 3 Credits
3 Credits