Two Engineering students closely look at the bridge they constructed in class at Methodist University

Engineering Courses

Engineering (EGR) Courses

EGR 1100 INTRODUCTION TO ENGINEERING I (2)A gli
mpse into engineering and solving engineering problems. The student will learn fundamental tools including the engineering design process, measurements, and hand graphics. The student will also gain an understanding of what engineering is, curriculum requirements, potential careers, teamwork, and project management. The course will be hands-on and project-based requiring multiple small, applied assignments and a larger semester team project.
Prerequisite: None
Offered: fall


EGR 1200 INTRODUCTION TO ENGINEERING II (3)
A continuation of EGR 1100, the student will continue applying the engineering design process and creating hand graphics while learning more complex computer programming concepts and computer-aided software as well as vector analysis. The course will be hands-on and project-based requiring two semester team projects. Two hours of lecture and two-and-one-half hours of design laboratory each week.
Prerequisite: EGR 1100 or permission of instructor
Offered: spring


EGR 2100 ENGINEERING MECHANICS (3)
An introduction to statics and dynamics. Topics include static equilibrium of particles, rigid bodies, trusses, frames, and machines; moment of inertia; Newton’s Laws of Motion; linear and angular momentum methods; work and energy methods; kinematics of particles and rigid bodies; applications of vector analysis; and structural analysis of beams. Three hours of lecture and one-and-one-half hours of design laboratory each week.
Prerequisite: EGR 1200 or permission of instructor
Corequisite: MAT 1140 or higher or permission of instructor
Offered: fall


EGR 2300 MATERIALS (3)
An introduction to the structures and properties of metals, ceramics, polymers, and composites. Students will gain a basic understanding of the processing and design limitations of these materials, as well as being introduced to new classes of materials being developed to meet the ever-expanding range of material requirements. Material use in product design and manufacturing is emphasized. Three hours of lecture each week.
Prerequisite: CHE 1510 and 1511 or permission of instructor
Offered: spring


EGR 3100 ENGINEERING ECONOMY (3)
Understanding principles of evaluating alternative engineering proposals through an economic analysis. The student will learn concepts and techniques of analysis in the value of products/services, projects, and systems in relation to their cost. Topics will include costs and cost estimates, basic comparative models, break even and replacement analysis, calculating economic equivalence, purchase versus lease decisions, and financial risk evaluation. Three hours of lecture each week.
Prerequisite: none
Corequisite: ECO 1510 or ECO 1520
Offered: spring


EGR 3140 NUMERICAL ANALYSIS (3)
Error analysis, interpolation, numerical differentiation and integration, solutions of linear and non-linear systems of equations, and ordinary differential equations.
Prerequisite: MAT 2420, MAT 3120, knowledge of a high-level language or permission of the instructor.
Cross-listed with MAT 3140 and CSC 3140
Offered: as needed


EGR 3200 ELECTRICAL ENGINEERING PRINCIPLES (3)
Broad overview of the basic electrical engineering concepts for non-electrical engineering students. Students will be introduced to circuit analysis, transient and steady state behavior, resonant systems, system analysis, and power and energy concepts. Elementary differential equations will be introduced to solve basic transient problems. Three hours of lecture each week.
Prerequisite: PHY 2520 and MAT 2420 or higher or permission of instructor
Offered: fall


EGR 3310 ENGINEERING PROBABILITY AND STATISTICS I (3)
Study and application of probability theory in the solution of engineering problems. Students will gain an understanding of probability concepts applicable to solve engineering problems, including reliability issues. Topics will include basics, discrete and continuous probability distributions, random variables, data analysis, parameter estimation, statistical intervals, and statistical inferences. Three hours of lecture each week.
Prerequisite: none
Corequisite: MAT 2410 or higher
Offered: fall


EGR 3320 ENGINEERING PROBABILITY AND STATISTICS II (3)
Continuation of EGR 3310 and is the study and application of statistics in the solution of engineering problems. Students will be exposed to engineering applications of single-factor statistical analyses (e.g., confidence intervals and one-way ANOVA), multi-factor ANOVA, regression, experimental design and analysis, and other nonparametric methods. The theory and application of statistical quality control (statistical process control and statistical acceptance sampling) will also be discussed. Three hours of lecture each week.
Prerequisite: EGR 3310; or MAT 2410 and grade of C-or better in MAT 2200 with instructor permission
Offered: spring


EGR 3920 ENGINEERING CAPSTONE I (2)
The first course in the capstone experience that emphasizes research and theory. The student will begin to research a chosen topic related to their potential capstone project. Students will study different strategies to solve various problems, explore engineering ideas with the instructor and present these ideas to the faculty and students. Initial research explorations will occur.
Prerequisite: junior standing or permission of instructor
Offered: spring


EGR 4850 ENGINEERING SPECIAL TOPICS (3)
Formal courses given infrequently to explore, in depth, a comparatively narrow subject that may be topical or of special interest. A semester project with a written report will be required. Three hours of lecture each week.
Prerequisite: Permission of the instructor
Offered: as needed


EGR 4900 ENGINEERING AND SOCIETY (3)
Broad overview of current topics that should be considered as a professional engineer. Students will gain an understanding of engineering professionalism including ethics, cultural considerations, environmental considerations, and use of social media. Students will be exposed to current engineering case studies and begin to plan their senior capstone design project. Written assignments will be required throughout the course as well as a final research paper (writing-enrichment course). Three hours of lecture each week.
Prerequisite: ISE 3200 or permission of instructor
Offered: fall


EGR 4910 SENIOR DESIGN (3)
Senior capstone design experience that emphasizes theory to practice. The student will work on a multidisciplinary (when possible) team to evaluate a real-world design problem for a client. The project will emphasize application of the engineering concepts from previous classes. A semester project with a written report will be required. One hour of lecture and five hours of design laboratory each week.
Prerequisite: EGR 4900 and a minimum of three 3000/4000-level engineering concentration courses or permission of instructor
Offered: spring


EGR 4920 ENGINEERING CAPSTONE II (2)
The second course in the capstone experience that emphasizes theory to practice. The student will work on a multidisciplinary (when possible) team to evaluate a real-world design problem for a client. Emphasis will be placed on the application of engineering concepts from previous classes.
Prerequisite: EGR 3920 and minimum of two 3000/4000 concentration courses or permission of instructor
Offered: spring


EGR 4990 INDEPENDENT STUDY IN ENGINEERING (1-4)
An opportunity for a well-qualified, upper-division student to engage in special research in his/her major. Prerequisite: Approval by the faculty advisor, the supervising professor, the department chair, and the college dean before approval by the Provost. Credit hours to be determined.
Offered: as needed


Industrial & Systems Engineering (ISE) Courses

ISE 3200 WORK ANALYSIS AND DESIGN (3)
Introductory Industrial Engineering course. The student will gain a basic understanding of methods improvement, work measurement, and work design and apply them to various industries to increase productivity and improve worker health and safety. Written lab reports will be required throughout the course (writing-enrichment course). Three hours of lecture and one-and-one-half hours of design laboratory each week.
Prerequisite: Sophomore standing
Offered: fall


ISE 3300 OPERATIONS RESEARCH I (3)
This course provides a broad overview of deterministic and stochastic models in operations research. Topics discussed include different types of network models, review of probability theory, decision making under uncertainty, Markov chains, and queuing models (stochastic models). Some simulation will be included. This course familiarizes students with probabilistic models and methods in Operations Research and their applications. Upon completion of this course, students should understand how to model and analyze systems that show probabilistic behavior or evolve probabilistically over time.
Prerequisite: MAT 2410
Offered: fall


ISE 3310 OPERATIONS RESEARCH II (3)
This course will focus on the use of mathematical models to support sound decision-making. It provides students with sufficient understanding and ability to mathematical programming: theory and applications. Students will learn how to formulate and solve real-world decision problems that arise in manufacturing and service systems with linear programming theory and applications, simplex algorithm, big M method, duality and sensitivity analysis. Also, students will learn how to model and solve transportation and assignment problems.
Prerequisite: ISE 3300 and MAT 3120
Offered: spring (fall as needed)


ISE 3500 ERGONOMICS AND SAFETY (3)
Study and application of ergonomic design principles in various workplace environments and product development. Emphasis will be on physiological and psychological fundamentals of safety evaluation and product development. The design of occupational safety systems and programs will also be discussed. A semester project with a written report will be required. Three hours of lecture each week.
Prerequisite: ISE 3200; instructor permission for non-ISE students
Offered: spring


ISE 4200 PRODUCT ENGINEERING (3)
Broad overview of the principles involved in product design and manufacturing with a detailed examination of the engineering design process. The student will gain an understanding of product engineering from conception to market including customer specifications, systematically evaluating alternatives (e.g., TRIZ, optimization techniques), manufacturing considerations (e.g., material selection, production requirements), and appropriate pre- market testing. Three hours of lecture each week.
Prerequisite: EGR 2300 and ISE 3200
Offered: spring


ISE 4210 LEAN PRODUCTION SYSTEMS (3)
This course will introduce a framework to implement improvements within an enterprise. Lean manufacturing/service focuses on improving the speed of a process and the elimination of waste, primarily by eliminating non-value-added steps. Six Sigma deals with the effectiveness with which a process meets customer requirements. The students will apply the concepts of facilities design through integrating the 358 concepts, terminology, and tools of Lean enterprise and Six Sigma. This course addresses some of the important issues involved with the planning, development, and implementation of Lean principles and their application primarily to health care.
Prerequisite: ISE 4200
Offered: Fall (Spring as needed)


ISE 4310 ENGINEERING MANAGEMENT (3)
Broad overview of the principles related to project, technology, and facilities management. The student will study problems confronting the engineer manager including project monitoring, project control, time management, cost management, risk management, and facilities layout. How globalization and culture may alter engineering management decisions will also be discussed. The student will learn to use CPM, PERT, and GERT for planning, managing, and controlling projects. Three hours of lecture each week.
Prerequisite: ISE 3200
Offered: fall


ISE 4320 SYSTEMS ENGINEERING (3)
Analyzing, designing, and improving new and existing human-made systems from an engineering standpoint. Students will gain an understanding of how all parts of the system interact and examine points of potential failure. Macroergonomics (how personnel, technology, and environmental factors influence systems and organizations) will also be included. Three hours of lecture each week.
Prerequisite: ISE 4310
Offered: spring


ISE 4400 DESIGN OF EXPERIMENTS (3)
Exploration, in detail, of statistical design and analysis of experiments in engineering and science. The student will gain an understanding of developing experimental models and experimental designs using the analysis of variance. Students will learn how to plan, design, and conduct experiments efficiently and effectively. Computer software packages to implement the methods will be illustrated. A semester project with a written report will be required. Three hours of lecture each week.
Prerequisite: EGR 3320 or permission of instructor
Offered: as needed


ISE 4410 DATA MINING (3)
Data Mining is the process of finding meaningful new correlations, patterns, trends and rules by sifting through large amounts of data using pattern recognition, statistical, and mathematical techniques. Challenges include the interpretation of data and the knowledge of appropriate tools. This course presents topics in data analysis from an industrial engineering and production systems perspective. Manufacturing and service industries accumulate vast amounts of data in order to track inventory, quality problems and overall production. These data contain embedded information and system knowledge that can be extracted or mined. The course covers topics in time series analysis and some statistical techniques on forecasting.
Prerequisite: EGR 3320; or ECO 3160 and MAT 2410
Offered: fall


ISE 4420 DATA ANALYTICS (3)
The objective of this course is to learn and apply statistical methods for the analysis of data that have been observed over time. It provides students with sufficient understanding and ability to model, analyze and develop time-series analysis and forecasts for engineering and business decisions. Students will learn univariate time series data modeling with autoregressive and Moving Average models. It also provides tools for model identification, model estimation, and assessment of the suitability of the model. Smoothing methods and trend/seasonal decomposition methods are also discussed in this course along with using a model for forecasting and determining prediction intervals for forecasts. The emphasis will be on quantitative methods. R software will be used in this course.
Prerequisite: ISE 4410
Offered: spring


ISE 4850 INDUSTRIAL & SYSTEMS ENGINEERING SPECIAL TOPICS (3)
Formal courses given infrequently to explore, in depth, a comparatively narrow subject that may be topical or of special interest. A semester project with a written report will be required. Three hours of lecture each week.
Prerequisite: Permission of the instructor
Offered: as needed


ISE 4990 INDEPENDENT STUDY IN INDUSTRIAL & SYSTEMS ENGINEERING (1-4)
An opportunity for a well-qualified, upper-division student to engage in special research in his/her major.
Prerequisite: Approval by the faculty advisor, the supervising professor, the department chair, and the college dean before approval by the Provost. Credit hours to be determined.
Offered: as needed