University of Dayton
Academic Catalog 2013-14

Engineering Management

Edward F. Mykytka, Department Chairperson

The program of study leading to the Master of Science in Engineering Management is designed to prepare engineers and aspriring engineers for leadership roles in engineering activities in industry, government, business, and the military. Graduates should be able to model, analyze, and make the difficult decisions required of engineering leaders, after learning course methodologies in statistics, operations research and simulation, and practicing these methodologies by using data and current analytical tools to solve real-world problems. Check us out at: http://engineering.udayton.edu/programs/management

Most courses are simulcast (offered in the classroom at the same time as they are offered via distance learning over the Internet at 11:30 a.m., 4:30 p.m., and 6:00 p.m.). These classes meet twice per week, typically Monday and Wednesday or Tuesday and Thursday. Nearly every course is live in the classroom, live on the Internet, and recorded for future reference for the students.

In 2012, U.S. News & World Report ranked our department second in the nation in faculty credentials and training, 26th in student services and technology, and 35th in student engagement and accreditation.

Master of Science in Engineering Management

The program includes a minimum of 36 semester hours consisting of the following:

Core Courses
ENM 500Prob&Stat for Engrs3
ENM 505Mgt of Engr Systms3
MSC 521Intro to OPS Rsrch3
ENM 530Engineering Economy3
MSC 572System Simulation3
or MSC 555 System Dynamics I
ENM 582Engr Organizatnl Dev3
ENM 590Case Stds-Engr Mgt3
Group I Management-focused ENM Electives
Select one of the following:3
Human Factors Engr
Legal Aspects-Engr
Sys Engr/Prjct Mgmt
Engr Orgnztnl Sys
Leading in Tech Envr
Group II Application-focused ENM Electives
Select two of the following:6
Decision Making
Productn Engineering
Quality Assurance
Dsgn & Analy Expr
Advanced Engineering Design
Reliability Engr I
System Dynamics I 1
System Simulation
Electives
Indicate two of the following courses or choose from ENM Group I or Group II Electives or from other fields of engineering.6
Engr Analyses
Reliability Engr II
Spcl Prj in Engr Mgmt
Total Hours36

1

Whichever is not taken as core.



See Master's Degree Requirements in the School of Engineering Bulletin, in the General Information section, and consult with the program director. When applying for the ENM degree, please note that the Department of Engineering Management & Systems does not require the three letters of recommendation, a personal statement or resume, or GRE results as required by many other University of Dayton departments and programs.

 

The supporting classes and electives within the engineering program of study allows concentrations in areas such as six sigma quality, manufacturing, artificial intelligence, reliability engineering, operations research, and systems engineering, and simulation.

Certificates

Programs of study leading to three graduate-level certificates are also available.

Certificate in Six Sigma 

The Certificate in Six Sigma is designed to offer practicing engineers and other technically-educated professionals the opportunity to master Six Sigma concepts by studying their theoretical roots and conceptual foundations through coursework at the graduate level. Upon successful completion, students are expected to be able to demonstrate an in-depth understanding of the statistical concepts underlying the methods & tools of Six Sigma, correctly apply those methods & tools, correctly analyze and interpret the results, and pursue further research or coursework in the area.

The certificate program is comprised of the following four courses:

ENM 500Prob&Stat for Engrs3
ENM 560Quality Assurance3
ENM 561Dsgn & Analy Expr3
ENM 565Reliability Engr I3
Total Hours12

 


Certificate in Systems Engineering

Systems engineering is an interdisciplinary approach and means to enable the realization of successful systems. It focuses on defining customer needs and required functionality early in the development cycle, documenting requirements, and then proceeding with design synthesis and system validation while considering the system as a whole.

The certificate program is comprised of the following four courses:

ENM 505Management of Engineering Systems3
ENM 530Engineering Economy3
ENM 539System Engineering/Project Management3
ENM 582Engineering Organizational Development3
Total Hours12

 


Certificate in design of Experiments

This certificate is offered to those technical professionals in the engineering and scientific community to furnish them with efficient techniques to solve challenging problems in key processes and product quality experimentation and design.

The certificate program is comprised of the following three courses:

ENM 500Probability & Statistics for Engineers3
ENM 561Design & Analysis of Experiments3
ENM 590Case Studies in Engineering Management3
Total Hours9

 


Courses

ENM 500. Probability & Statistics for Engineers. 3 Hours

This is an introductory course in the concepts and applications of probability and statistics. Emphasis is on applications and examples that an engineer or analyst would encounter in practice. Probability is presented as the fundamental tool for modeling uncertainty as well as the logical connection between a population of data and its samples. Descriptive statistics are introduced to describe and characterize data. Inferential statistics provide the means of generalizing to a population from a sample, thus enabling solutions and conclusions that otherwise would not be obtained. Modern software provides the leverage to tackle problems of realistic size and complexity. The concepts and methods covered have direct application to forecasting, queuing, inventory, production, scheduling, equipment replacement, reliability, availability, quality control, experimental design, robust engineering, six sigma, and more. Prerequisitie(s): An undergraduate course sequence in calculus.

ENM 501. Applied Engineering Statistics. 3 Hours

Concepts and applications of advanced probability modeling and statistical techniques used in the study and solution of operations research/management science problems. The focus of this course is on the application of probability and statistics in the formulation and solution of models found in OR studies and in engineering design studies. This course builds upon the foundation established in the ENM 500 course. Prerequisite(s): ENM 500 or equivalent.

ENM 503. Engineering Analysis - Methods & Models. 3 Hours

Mathematical methods and models used in the study and solution of decision problems found in engineering and operations research/management science. The methods and models presented build on the student's mathematical foundation and are motivated by their use in solving real-world problems. This is not a concept-theory course but rather a course designed to enhance the modeling and analysis skills of the student. Prerequisite(s): An undergraduate course sequence in calculus.

ENM 505. Management of Engineering Systems. 3 Hours

This course addresses customer, systems, and operational requirements with allocation to the component level, using the iterative process of analysis, evaluation and synthesis with life-cycles for systems, product, process and disposal. Decision-making for alternatives is covered with the 'ilities' under risk and uncertainty. Optimization topics and the time value of money are included.

ENM 515. Human Factors Engineering. 3 Hours

Treatment of theory, data, and methods that can be applied to improve the interface between humans and the systems and products that they us. Human capabilities and limitations are studied to support the design of systems and products for safe and efficient use by the human operator.

ENM 517. Legal Aspects of Engineering. 3 Hours

An introductory course to provide the engineer with some insight into the areas of law that will impact an engineer's professional practice. Special emphasis is given to the area of Contract Law due to the important and pervasive interaction that it has with engineering design and project work. Systems of law, legal reasoning, and the court systems are introduced. Product liability and business relationships are discussed. Courtroom experience is achieved through interaction with the UD Law School and local judges with participation in mock trials.

ENM 530. Engineering Economy. 3 Hours

This is an introductory course in the concept of time value of money and financial management for engineering managers. The course includes learning curves, cost estimating, managerial accounting, balance sheet and income statement, financial ratios, investment alternatives, depreciation, inflation, capital budgeting and other related topics.

ENM 532. Cognitive Systems Engineering. 3 Hours

Cognitive systems engineering (CSE) is an approach to the engineering of systems with humans and amplifies and makes human capability more reliable to perform cognitive work by integrating technical functions of subsystems with the human congitive processes that they need to support. Cognitive work involves the cognitive activities of knowing, understanding, planning, deciding, problem solving, integrating, analyzing, synthesizing, assessing and judging, as performed in military command and control, civil air traffic control, transportation, and health care. Prerequisite(s): Graduate status.

ENM 534. Decision Making. 3 Hours

Introduction to rational decision-making with applications in the analysis and design of engineering and management systems. Topics explored are decision-making under uncertainty and risk as well as under certainty, group decision-making, multiple-criteria decision-making, naturalistic and practical decision making. Prerequisite(s): ENM 500 or equivalent.

ENM 539. System Engineering/Project Management. 3 Hours

This course addresses the concepts, techniques and procedures used to manage engineering programs and projects. This course provides a complete overview of the systems engineering and project management tools and methodologies used to plan, control and execute programs or projects. Included are SE requirements, SE architecture, SE integration, project screening and selection; multiple-criteria methods for evaluation; work breakdown structures (WBS) and organization; configuration selection, management and control; project scheduling; project budgets; resource management; research and development projects; and computer support for project management.

ENM 541. Production Engineering. 3 Hours

Study of the integration of man, machine, and material in producing a marketable product. The use of engineering techniques to design, develop, and implement the production system are covered. Topics include break-even analysis, learning curve theory, forecasting, resource balancing, inventory and production control, facility layout and location, job sequencing and scheduling, and assembly line balancing. Modern production techniques such as just-in-time (JIT), MRP systems flexible manufacturing, and computer-integrated manufacturing are discussed. Prerequisite(s): MSC 521 or permission of instructor.

ENM 560. Quality Assurance. 3 Hours

Introduction to the fundamental concepts and methods of modern approaches to quality assurance, with emphasis on statistical methods for process control, process capability analysis, and sampling inspection. The course introduces relevant methods of experimental design and current issues in quality improvement. Prerequisite(s): ENM 500 or equivalent.

ENM 561. Design & Analysis of Experiments. 3 Hours

This course introduces advanced topics in experimental design and analysis, including full and fractional factorial designs, response surface analysis, multiple and partial regression, and correlation. Prerequisite(s): ENM 500 or equivalent.

ENM 562. Robust Engineering. 3 Hours

Robust engineering methods lead to products and processes that function well in spite of variable customer environments and usage patterns, internal deterioration and ageing of components, and unit-to-unit variation in subassemblies. The key concept is using experimental design to neutralize these sources of performance variability. This course presents the still vital Taguchi methods that pioneered the methodology as well as modern work to improve on and expand Taguchi's principals. Prerequisite(s): ENM 500 or equivalent.

ENM 563. Advanced Engineering Design. 3 Hours

This graduate-level course seeks to develop in students the ability to integrate dynamic mechanisms (i.e., heat transfer, fluid dynamics, electrical responses, etc.) into system modeling and analyses with uncertainty supporting the verification and validation of systems. Additionally, statistically-based analysis, design, and optimization will be addressed through open-ended problems with explicit considerations of system-level impacts, engineering tradeoffs, and system integration. A course project is required that must demonstrate application of the statistically-based design process. Prerequisite(s): ENM 561 or equivalent; Instructor permission.

ENM 565. Reliability Engineering I. 3 Hours

An introduction to reliability engineering concepts and methodology. The reliability, maintainability, and availability of components and multi-component systems are analyzed. Topics include exponential, Weibull, lognormal and normal failure laws, static reliability, hazard rate functions, state dependent failure rate models, redundancy, censoring, empirical models, curve fitting to failure data, and reliability growth testing. Prerequisite(s): ENM 500 or equivalent.

ENM 566. Reliability Engineering II. 3 Hours

Continuation of ENM 565 with emphasis on the design of systems to meet specified reliability, availability, and maintainability requirements. Prerequisite(s): ENM 565 or equivalent.

ENM 582. Engineering Organizational Development. 3 Hours

This course addresses individual, group behavior, and organizational design examined within the structure of technical operations, including the systems engineering environment. The objectives are to provide the participants with an understanding of behavioral science and design principles, their effect on organizational performance, and how one applies this science in the management of technical personnel and projects, especially in the systems engineering environment.

ENM 585. Engineering Organizational Systems. 3 Hours

Introduction to organizational theory and practice with emphasis on the design of organizational structures for the effective integration of production, research and development, and engineering activities. Special topics include high performing systems, the technical ad-hoc committee, matrix organization, and project management and other current issues.

ENM 587. Leading in Technical Environments. 3 Hours

Understanding and utilizing the keys to leading in technical organizations represents a distinct advantage to individuals and the institutions they serve. Students will be exposed to the underpinning of leadership in engineering environments including tenets,theories,debates, strategies, and innovative techniques. Opportunities to interact with technical leaders from government and industry will be provided. Practical application skills will be developed.

ENM 590. Case Studies in Engineering Management. 3 Hours

This capstone course emphasizes the completion of an engineering management project or study under the direction of a faculty advisor. A well-written report is required. Prerequisite(s): Completion of the engineering management core courses or equivalent.

ENM 595. Special Problems in Engineering Management. 1-3 Hours

This course covers special assignments in engineering management as arranged and approved by the advisor and the program director.