Program Overview

Science of Engineering (ESC) Program

The Science of Engineering (ESC) program offers a range of courses that provide students with a comprehensive understanding of engineering principles and practices.

Course Offerings

• ESC LDEA, LOWER DIVISION ED ABROAD, 1-16 Credits: This course is repeatable for 99 credits.
• ESC UDEA, UPPER DIVISION ED ABROAD, 1-16 Credits: This course is repeatable for 99 credits.
  • Topics covered include international education and cultural exchange.
• ESC 315, STOCHASTIC AND EVENT-DRIVEN SIMULATION OF INDUSTRIAL SYSTEMS, 4 Credits
  • Covers analysis and modeling techniques of complex systems to support engineering decisions.
  • Explores stochastic descriptive modeling and its implementation in the engineering field.
  • Focuses on modeling uncertainty using Monte Carlo simulation and discrete event simulation.
  • Utilizes data analysis and techniques to implement randomness in various models.
  • Prerequisite: IE 212 with C or better and ST 314 [C]
• ESC 322, ELECTRONICS I LABORATORY, 1 Credit
  • Solidifies concepts covered in ECE 322 through the design, analysis, simulation, construction, and evaluation of electronic circuits.
  • Provides students with experience designing, building, and testing electronics circuits.
  • Includes diode circuits and rectifiers, and transistor amplifiers using both bipolar and MOS transistors.
  • Prerequisite: ESE 330 with C or better or ENGR 203 with C or better
  • Corequisites: ECE 322
• ESC 331, INTRODUCTORY FLUID MECHANICS, 4 Credits
  • Introduces the concepts and applications of fluid mechanics and dimensional analysis.
  • Emphasizes 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.
  • Predicts 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
  • Covers theory and application of instrumentation and measurement techniques.
  • Includes fundamentals of sampling theory, error and uncertainty analysis, signal conditioning, sensor fundamentals, and data analysis.
  • Provides laboratory exercises 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
  • Introduces materials and their structures and properties.
  • Studies the physical and chemical phenomena responsible for the electrical, mechanical, and thermal behavior of solids.
  • Prerequisite: (PH 213 with C or better or PH 213H with C or better) and (CH 222Z [C] or CH 222HZ [C] or CH 232 [C] or CH 232H [C])
• ESC 395, ENGINEERING PROJECT MANAGEMENT, 3 Credits
  • Discusses organization in managing engineering projects.
  • Analyzes time, cost, and performance parameters using a team-project-based laboratory scenario.
  • Introduces methods to properly perform network optimization, including resource leveling and techniques to reduce project duration.
  • Introduces milestone definition and risk analysis using Failure Mode and Effects Analysis (FMEA).
  • Prerequisite: ENGR 390 with C or better
• ESC 401, RESEARCH, 1-4 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.
  • Includes engineering-specific applications such as root finding for heat transfer fin sizing and solving linear systems for electrical nodal 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.