Curriculum
| Code | Title | Hours |
|---|---|---|
| Core Requirements | 45 | |
| Major Requirements (Basic Sciences and Mathematics 27 + Discipline 50) | 77 | |
| Major Electives | 9 | |
Minor: Optional | ||
| Total Hours | 131 | |
Major Requirements
| Code | Title | Hours |
|---|---|---|
| Required Core Courses | ||
CHEM 1414 |
General Chemistry I
This course introduces the student to general concepts of chemistry including atomic and molecular structure, reaction stoichiometry, thermodynamics, periodic trends, gas laws, and intermolecular forces. Note: Advisor placement, satisfactory performance on the chemistry placement exam, or completion of CHEM 1003 or CHEM 1204 with a C- or better is required. | |
MATH 2050 |
Statistics I
This course presents the basic methods of sampling and interpreting data, probability, the normal distribution, correlation, hypothesis testing and confidence intervals. | |
| Required Basic Sciences and Mathematics Courses (27 credits) | ||
| MATH 2010 |
Calculus I
This course presents limits, continuity, and differentiation of real valued functions as well as their applications. Integration of functions and their applications are also discussed. Recommended four years of high school mathematics or MATH 1280 and MATH 1500. | 4 |
| MATH 2020 |
Calculus II
This course presents analytic geometry, integration and differentiation of trigonometric, exponential, and logarithmic functions. Techniques of integration, improper integrals, parametric equations, and differential equations are also discussed. Sequences and series are also introduced. | 4 |
| MATH 2030 |
Calculus III
This course presents vectors, vector-valued functions, partial derivatives, and multiple integration with applications. An introduction to vector calculus is also presented including vector fields, line integrals, and surface integrals. | 4 |
| MATH 3250 |
Linear Algebra and Differential Equations
This course presents elementary linear algebra, including matrices and determinants, vector spaces, linear transformations, solutions of linear systems, and differential equations including series of equations. | 4 |
| MATH 3050 |
Statistics II
This course is designed to continue the student’s background in probability and statistics. Students examine ANOVA, two sample tests, regression and multiple regression, non-parametric statistics, and the Chi-square distribution. | 3 |
| PHYS 1714 |
University Physics I
This course is a calculus-based introductory course in physics that includes classical mechanics, mechanical waves, and sound. It involves the use of algebra, trigonometry, derivatives, and integrals. Both numerical problem-solving and building logical arguments based on physics concepts are emphasized. Note: Completion of MATH 2010 is required. | 4 |
| PHYS 1724 |
University Physics II
This course is a calculus-based continuation of PHYS 1714 and includes classical electricity and magnetism, electric current and circuits, light waves, geometric optics, and the atom. Note: Completion of PHYS 1714 with a C- or better is required. | 4 |
| Required Discipline Courses (50 credits) | ||
| ENGR 1010 |
Engineering Introduction, Design and Ethics
This introductory course covers professional focus areas in engineering, basic computations, units and conversions, computer aided design, geometric constructions and dimensioning, engineering ethics and impact of other factors. | 3 |
| ENGR 1020 |
Engineering Applications and Programming
This course addresses algorithm development and structured programming techniques, scientific problem solving, numerical and graphical applications related to engineering. | 3 |
| ENGR 2410 |
Engineering Economics
This course covers principles and techniques for monetary quantification of engineering and business decisions over time. It includes time value of money, depreciation, cost estimation, return of investment, risk and selecting alternatives. | 3 |
| ENGR 2430 | 4 | |
| ENGR 3210 |
Manufacturing Processes and Strength of Materials
In this course, students will learn how to design the processes by which common materials and components are produced as well as their internal structures and properties for their manufacture and use. Students will use a hands-on approach to discover the relationship between structures, properties, and performance of materials, such as the stressors produced by axial loading, torsion, bending, deflections, and buckling. Students will also learn how to design and analyze manufacturing systems, including how to improve existing systems using LEAN and quick response manufacturing. | 4 |
| ENGR 3420 |
Facilities Design
This course covers the essentials of the layout of a facility, planning methods, and the relationship between the physical layout, process flows, and materials handling. Students will use CAD software to create layouts to evaluate and generate solutions to facilities issues. Students will also learn the key factors in selecting a facility location. | 3 |
| ENGR 3440 |
Production & Operation Analysis
This course covers the analysis and design of production control procedures. Inventory, planning, and scheduling will be included. Students will learn techniques for operations management, including forecasting and planning using computer applications. | 4 |
| ENGR 3450 |
Work Design & Human Interaction
This course covers theories on physical and cognitive ergonomics and engineering anthropometry. Using a hands-on approach, students will learn about the capacities of humans, the environmental effects, and safety standards in the design of an industrial system. Students will apply human-performance modeling techniques to industrial workplace environments. | 3 |
| ENGR 3460 |
Project Management
This course covers core concepts of project management based on processes of initiating, planning, executing, controlling, and closing projects. Topics include project proposals, project selection, scope definition, CPM and PERT scheduling, budgeting, control techniques, procurement and integration, and project manager skills. Students will be encouraged to seek PMP certification. | 3 |
| ENGR 3470 |
Modeling & Optimization
In this course, students will learn the basic techniques for modeling and optimizing deterministic systems with emphasis on linear programming. The course includes computer solution of optimization problems and applications to production, logistics, and service systems. | 4 |
| ENGR 3480 |
Stochastic Processing
This course examines stochastic systems using both analytic methods and computer simulation. Topics include empirical and theoretical models of arrival and service processes, state spaces and state transition probabilities, simulation of queuing and manufacturing systems, continuous time Markov analysis of manufacturing systems, simulation project management, testing and emerging trends. | 3 |
| ENGR 3490 |
Statistical Process Control
This course covers industrial process safety fundamentals, engineering risk management, and the design of quality assurance systems. Topics such as process capability assessment, design of experiments, statistical process control, failure mode and effects analysis, quality function deployment, and process reliability are addressed along with quality planning, quality assurance, and quality control methodologies. An overview of chemical toxicity, industrial hygiene, fire and explosive factors, as well as hazard identification and risk assessment will also be presented. | 3 |
| ENGR 4480 |
Simulation
This course addresses simulation of complex discrete-event systems with applications in industrial and service organizations. Computer exercises include generation and analysis of random variables, input distribution modeling, spreadsheet models of queuing systems, and statistical analysis of simulation output data. A course project will involve use of a software package. | 4 |
| ENGR 4941 |
Industrial Engineering Capstone Design Project I
This is the first course in the industrial engineering cumulative design experience. It serves to integrate junior- and senior-level coursework, promote an understanding of team dynamics and the development of project management skills. The content related to design of a process or a product or a system varies depending on the interests of students, project team, and project sponsors such as industry or professional society. Iterative design process, patent and literature searches, application of engineering standards, consideration of multiple constraints and design options, selection of an optimal design, consideration of various contexts are addressed and documented. | 3 |
| ENGR 4942 |
Industrial Engineering Capstone Design Project II
This course serves as the continuation of the industrial engineering cumulative design experience. Further analysis of the design performance may be conducted through any applicable considerations such as simulation, optimization, and quality/ productivity study. A discussion on modifications accounting for public safety, environmental, social, global, and economic factors is required in the written report. | 3 |
| Elective (Select 9 credits of the following - two Technical courses and one Engineering course) | 9 | |
Technical Elective (Any ENGR/CSC/MGMT/BUS above 2000) | ||
Engineering Elective (Any ENGR 3000/4000 course) | ||
ENGR 3220 |
Systems Dynamics and Instrumentation
A systems approach to model and solve various mechanical and electrical systems and quantify first-order and second order system characteristics. It will include experiments on steady-state and transient performance characteristics of common sensors and address measurement error analysis. | |
ENGR 4991 |
Internship Experience
This course allows undergraduates to actively pursue internship experiences. It serves as practical training in the discipline. Approval of the Department Chair is required for registration. A final report is required with endorsement from the industrial advisor. | |
| Total Hours | 86 | |