5 courses with the subject ENGX, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
ENGX 2000Quantitative Engineering Analysis1
Quantitative Engineering Analysis 1 is the first in a series of interdisciplinary math, science and engineering courses. The application of quantitative analysis of mathematical models and/or data can enable, improve, and speed up the engineering design process. Using quantitative analysis to answer engineering questions, you will be able to make the choices necessary to successfully complete an engineering design. Whether you are selecting the best part from a catalog, choosing an appropriate material, sizing a component, determining the effect of certain influences on your design, or optimizing your design within a parameter space, you often need to obtain (through experiment or calculation) and interpret quantitative information to inform your decisions. There are many different approaches to getting and interpreting the data you need: you may conduct an experiment, do a rough estimation, perform a detailed calculation based on mathematical models, or create a computer simulation. If you want to engineer effectively, you must be able to choose and use appropriate quantitative tools for a given situation. In this class, you will be introduced to various approaches to perform quantitative engineering analysis through real-world examples. You will learn how to select between different tools and different approaches within the context of an engineering challenge, how to use many different tools for quantitative analysis, and how to acquire new tools on your own in the future. This course fulfills the linear algebra requirement. Credit distribution of this course is 2 MTH, 1 SCI, 1 ENGR. Credits: 2 MTH, 1 SCI, 1 ENGR. Hours: 4-0-8.
Quantitative Engineering Analysis 2 is the 2nd course in a 3 course interdisciplinary sequence. The application of quantitative analysis of mathematical models and/or data can enable, improve, and speed up the engineering design process. Using quantitative analysis to answer engineering questions, you will be able to make the choices necessary to successfully complete an engineering design. Whether you are selecting the best part from a catalog, choosing an appropriate material, sizing a component, determining the effect of certain influences on your design, or optimizing your design within a parameter space, you often need to obtain (through experiment or calculation) and interpret quantitative information to inform your decisions. There are many different approaches to getting and interpreting the data you need: you may conduct an experiment, do a rough estimation, perform a detailed calculation based on mathematical models, or create a computer simulation. If you want to engineer effectively, you must be able to choose and use appropriate quantitative tools for a given situation. In this class, you will be introduced to various approaches to perform quantitative engineering analysis through real-world examples. You will learn how to select between different tools and different approaches within the context of an engineering challenge, how to use many different tools for quantitative analysis, and how to acquire new tools on your own in the future. This course fulfills the multivariable calculus requirement. Credit distribution of this course is 2 MTH, 1 SCI, 1 ENGR. Credits: 2 MTH, 1 SCI, 1 ENGR. Hours: 4-0-8. Prerequisite: ENGX2000.
Quantitative Engineering Analysis 3 is the third course in the 12-credit QEA sequence required for some degree programs. The course will revisit, reinforce, and build upon the contextualized math, science, and engineering tools and skills developed during QEA 1 and 2. Conceptual material in QEA 3 will draw from topics including ordinary differential equations, Fourier transforms, and equations of motion. QEA 3 will endeavor to place this foundational material in the broader engineering context, drawing connections to relevant examples and applications in engineering and beyond. The course will teach students how to select the appropriate set of tools and techniques for a given situation, ask critical questions about the consequences of their work, and develop the skills needed to acquire new knowledge beyond the course material. This course fulfills the ordinary differential equations requirement, and when coupled with Quantitative Engineering Analysis 2. Credit distribution of this course is 2 MTH, 2 SCI. Credits: 2 MTH, 2 SCI. Hours: 4-0-8. Prerequisite: ENGX2006; OR SCI1199.
Engineering Systems Analysis involves building, developing, and practicing process-based quantitative analysis skills in the broad area spanning linear analysis of engineering systems. Concepts such as linearization, equilibrium, and stability will be applied to study dynamic response of electrical and mechanical systems in both the time and frequency domains through time- integration, transfer function, and state-space analysis. Ideas from feedback control are introduced. Coursework and projects will involve examples from robotics, communication systems, or aircraft/spacecraft. This course is required for ME and ECE majors. ENGR. Hours: 4-0-8.
