This course introduces both the engineering program at Incarnate Word and the engineering profession by assigning group projects, inviting guest lecturers, and covering engineering topics in decision analysis and professionalism.
College Algebra or higher.
This three-hour course is an introduction to computer-aided drafting. The student will learn the basics of technical drawing and mechanical design. The class is open to all interested students.
This three-hour course is a continuation of concepts learned in Engineering Graphics, ENGR 1310. Students will gain experience with engineering design and technical writing. Topics will include teamwork, the design process, problem-solving using the computer, and the use of presentation tools.
This course covers probability theory, descriptive statistics, random variables, discrete and continuous probability distributions, functions of random variables, hypothesis testing, correlation, and linear regression for engineers. The course will incorporate the use of statistical software.
MATH 2313 and ENGR 1312
This is an introductory course in programming for mathematics, science, and engineering majors. Topics include data types and related operations, floating point errors, input/output of data, control structures, functions, arrays, data structure, files and string processing. Program design, debugging techniques and good programming practices will also be discussed. Programming exercises and projects will emphasize problems and applications in mathematics, sciences and engineering fields. It will not be counted toward the required mathematics credit on the Core.
MATH 2312 and ENGR 1201
This course introduces students to the basic techniques and methodologies for designing and analyzing digital systems and how to apply these techniques to build specific digital circuits. Topics covered include number systems, Boolean Algebra, combinational circuits, programmable logic devices and read-only memories, flip-flops and memory devices, sequential circuits, and various related optimization techniques.
ENGR 2340 Computer Programming
This course introduces numerical techniques implemented in MATLAB for the solution of problems in engineering. The primary objective is to develop the basic understanding of numerical algorithms and skills to implement algorithms to solve mathematical problems on the computer. Topics covered include error analysis, interpolation and curve fitting, and numerical solutions to systems of linear equations, root finding, differentiation and integration, and ordinary differential equations. The course will incorporate the use of MATLAB software.
MATH 2314, ENGR 2330, and ENGR 2340
This is a first course in continuous-time and discrete-time signal analysis. It includes Fourier series and transforms; sampling; continuous-time and discrete-time linear system analysis with FIR and IIR systems; impulse response, frequency response and system function.
ENGR 3460 Circuit Analysis and ENGR 3430 Engineering Analysis.
Application of mathematical principles to the analysis of engineering problems using linear algebra and ordinary differential equations (ODE’s). Use of software tools to solve engineering problems. Topics include: mathematical modeling of engineering problems; separable ODE’s; first-, second-, and higher-order linear constant coefficient ODE’s; characteristic equation of an ODE; systems of coupled first-order ODE’s; matrix addition and multiplication; solution of a linear system of equations via Gauss elimination and Cramer’s rule; rank, determinant, and inverse of a matrix; eigenvalues and eigenvectors; solution of an ODE via Laplace transform; numerical solution of ODE’s. The course will incorporate the use of MATLAB software in engineering analysis. This course includes both lecture and lab.
MATH 2314, PHYS 2306, and ENGR 3340
This course includes both lecture and lab experiences. Students study materials (metals, ceramics, polymers, composites, adhesives, etc.) and the effects of forces on materials at a molecular level, analysis of stress and strain, bending, torsion, and elasticity.
This course is an introduction to circuit theory, analysis, and design of electric circuits. Students will learn Kirchhoff's laws, node analysis, mesh analysis, Thevenin's theorem, Norton's theorem, steady-state and transient analysis, AC, DC, phasors, and power analysis. This course includes both lecture and lab.
This course includes both lecture and lab experiences. Students will study signal and amplifier concepts, operational amplifiers, diodes, bipolar junction transistors, biasing, small and large signal analysis, and transistor amplifiers. This course includes both lecture and lab. This class is a continuation of Circuit Analysis.
Students will analyze linear vibrating systems of one degree of freedom with different damping and forcing conditions as well as multi-degree of freedom systems, and engineering applications such as vibration control.
ENGR 3373 Dynamics.
Students will learn and apply the basic principles of finite elements, derive the element equations for one and two-dimensional elements, and error estimation. Applications to stress analysis of elastic solids will also be studied.
ENGR 3455 Mechanics of Materials.
Students will learn and apply theory of beam deflection, the general case of stress in solids, stress concentration, design criteria, and fatigue. Applications to gears and mechanical springs will also be studied.
ENGR 3455 Mechanics of Materials and ENGR 3373 Dynamics
This course introduces techniques of digital signal processing and application to deterministic as well as random signals. Topics include representation of discrete-time random signals, A/D conversion, D/A conversion, frequency domain and Z-domain analysis of discrete-time signals and systems, discrete-time feedback systems, difference equation and FFT-based realization of digital filters, design of IIR Butterworth filters, window-based FIR filter design, digital filtering of random signals, FFT-based power spectrum analysis.
ENGR 3430 Engineering Analysis, ENGR 3364 Signals and Systems, and ENGR 3460 Circuit Analysis
This course provides an introduction to the analysis of control systems. The main focus will be on techniques in classical control theory, including root-locus and Bode plots. Students will learn how to transform linear dynamical systems between state-space and frequency domains, and evaluate conditions for stability in each domain. Students will design controllers such as P, PI, PID, phase-lead, and phase-lag filters. Concepts of robust control, including tradeoffs between sensitivity and performance, will be emphasized throughout. Applications will range across electrical, mechanical, chemical, biomedical, aerospace, and biological systems.
ENGR 3430 Engineering Analysis and ENGR 3364 Signals and Systems.
This course covers the engineering field of heat transfer, starting with thermophysical properties and heat transfer by conduction, free convection, forced convection and radiation. Rigorous mathematics will be applied to the appropriate phenomena, and empirical rules used with others. Numerical methods to solve problems involving combinations of these modes will be introduced. Heat exchanger design will put the concepts learned to practical use, and other advanced topics including laboratory methods, thermoelectric cooling and heat pipes will be introduced.
ENGR 4375 Thermodynamics, ENGR 4470 Fluid Mechanics (may be co-requisite).
Students will study heat, work, the kinetic theory of gases, equations of state, thermodynamic systems, the laws of thermodynamics, reversible and irreversible processes, the conservation of energy, and basic thermodynamic cycles.
This four hour course willfour-hourboth lecture and lab experiences. Students will study fluid properties, fluid statics, energy and momentum, integral and differential analysis of fluid flow, boundary layers, viscous laminar and turbulent flow in conduits, dimensional analysis, drag and lift.
ENGR 3350, MATH 2314.
This course will cover a variety of engineering topics that will change from semester to semester. Topics may include studies of construction, design, soils, structures, electronics, surveying, environment, conservation, or other current areas of interest in engineering. This course can be repeated for credit.
Permission of the Instructor.
A capstone course combining management and engineering experience. An original research project would be undertaken, and a public presentation would be given at the end of the semester.
Permission of advisor required.