Science of Engineering (ESC)

ESC 331, INTRODUCTORY FLUID MECHANICS, 4 Credits

Introduces the concepts and applications of fluid mechanics and dimensional analysis with an emphasis on fluid behavior, internal and external flows, analysis of engineering applications of incompressible pipe systems, and external aerodynamics.

Prerequisite: ME 310 with C or better or NSE 310 with C or better

ESC 332, INTRODUCTORY HEAT TRANSFER, 4 Credits

Analyzes conductive, convective and radiative energy transfer using control volume and differential analysis and prediction of transport properties.

Prerequisite: ESC 331 with C or better or ME 331 with C or better or ME 331H with C or better or NSE 331 with C or better or NSE 331H with C or better

ESC 340, INTRODUCTION TO EXPERIMENTATION, 4 Credits

Theory and application of instrumentation and measurement techniques are covered. Course topics include fundamentals of sampling theory, error and uncertainty analysis, signal conditioning, sensor fundamentals, and data analysis. Laboratory exercises provide experience utilizing data acquisition hardware and software, as well as a variety of sensors for measuring parameters from mechanical and electrical engineering systems.

Prerequisite: ENGR 202 with C or better and (CS 162 [C] or CS 162H [C]) and (PH 213 [C] or PH 213H [C]) and ST 314 [C]

ESC 350, ENGINEERING MATERIALS, 4 Credits

An introduction to materials and their structures and properties. The physical and chemical phenomena responsible for the electrical, mechanical, and thermal behavior of solids will be studied.

Prerequisite: (PH 213 with C or better or PH 213H with C or better) and (CH 232 [C] or CH 232H [C])

ESC 401, RESEARCH, 1-16 Credits

Equivalent to: ESE 401

This course is repeatable for 4 credits.

ESC 410, INTERNSHIP, 1-4 Credits

Equivalent to: ESE 410

ESC 440, NUMERICAL METHODS FOR ENGINEERS, 4 Credits

Explores numerical analysis of calculations and models in the engineering setting. Predicts numerical error. Performs root finding, numerical differentiation and integration, curve fitting, optimization, and Fourier analysis. Solves linear systems of equations and ordinary differential equations. Processes images. Engineering specific applications may include: root finding for heat transfer fin sizing, solving linear systems for electrical nodal analysis, applying differential equations solution algorithms to solve a quarter car suspension model, and curve fitting for engineering data analysis.

Prerequisite: (MTH 256 with C or better or MTH 256H with C or better) and (MTH 264 [C] or MTH 264H [C])

ESC 499, SPECIAL TOPICS, 4 Credits

This course is repeatable for 16 credits.