PRINTER-FRIENDLY VERSION OF THE GUIDSHEETThese suggested course tracks are based on undergraduate requirements from the class
entering in the 2024-25 academic year. These are only suggestions, refer to the University Academic Guide for the official requirements for each major.
For archived requirements refer to the University Academic Guide Archives. Select the desired year, then click "Digital archive access" under the heading View
Online.
For more information on graduate-level requirements go here.
Take note of Pre- or Co- requisites.
4 + 1 Master's Programs
Complete a bachelor's degree and a master's degree in five years by taking up to three
graduate course in your senior (fourth) year. In your fifth year, you are admitted
to the Graduate School and focus solely on graduate work to finish your master's degree.
Click here to find out more about benefits of the programs and how to apply.
Year 1
Engineering Design Division: The first year is common to all engineering majors
The GenEd “J” Designation is earned after successful completion of EDD 103,104, 111,
112
Fall
-
EDD 111 - Intro to Engineering Design
First course in a two-semester integrated introduction to the engineering profession.
Emphasizes engineering problem-solving techniques; introduction to the engineering
design process. Includes an introduction to machine shop use, engineering graphics,
circuits, and computer-aided design. This course is assessed a $235 fee upon registration.
Fees are refundable only within the first week of classes for students that withdraw
and non-refundable thereafter. Corequisite: EDD 103 (linked). Course is offered in
the Fall semester. 2 credits.
Levels: Undergraduate
-
EDD 111 - Intro to Engineering Design
First course in a two-semester integrated introduction to the engineering profession.
Emphasizes engineering problem-solving techniques; introduction to the engineering
design process. Includes an introduction to machine shop use, engineering graphics,
circuits, and computer-aided design. This course is assessed a $235 fee upon registration.
Fees are refundable only within the first week of classes for students that withdraw
and non-refundable thereafter. Corequisite: EDD 103 (linked). Course is offered in
the Fall semester. 2 credits.
Levels: Undergraduate
-
CHEM 111 - Chemical Principles
A one-semester introductory course in modern chemistry for potential science and
engineering majors. Covers molecular structure and bonding, solids, organic chemistry
and polymers, acid/base and redox chemistry, thermodynamics, electrochemistry and
kinetics in both lecture and laboratory. Fulfills all requirements met by CHEM 107-108.Credits:
4. Format: 3 hour lecture; 2 hour discussion; 3 hour laboratory per week. Prerequisite:
high school chemistry. Not open to students who have credit for CHEM 107 or CHEM 108 or
CHEM 104 or CHEM 105 or CHEM 106. If taken as a part of a pre-health track an additional
semester of inorganic chemistry must be taken to fulfill the requirement. Offered
in the fall semesters only. Course fee applies. Refer to the Schedule of Classes.
Levels: Graduate, Undergraduate
-
MATH 224 - Differential Calculus
This is a 2-credit course in differential calculus covering limits, continuity,
and
differentiation. Prerequisites: MATH 223 with a grade of C- or better, or Placement
Exam. Offered each half semester. 2 credits.
Levels: Undergraduate
-
MATH 225 - Integral Calculus
This is a 2-credit course in integral calculus covering optimization and integration.
Prerequisites: MATH 224 with a grade of C- or better. Offered 2nd half of fall semester
and both half semesters of spring semester. 2 credits.
Levels: Undergraduate
General Education Elective (G, D, A, N, H)
Body/Wellness (Y, S, B)
Spring
-
EDD 112 - Intro to Engineering Analysis
The conclusion of a two-semester introduction to the practice of engineering.
Content is primarily focused on the application of mathematics in engineering. Content
is reinforced in the EDD 104 engineering design projects. Course fee applies. Refer
to the Schedule of Classes. Prerequisite: EDD 103, EDD 111. Corequisite: EDD 104 (linked).
Course is offered in the Spring semester. 2 credits.
Levels: Undergraduate
-
EDD 104 - Engineering Communications II
This class builds on the skills introduced in EDD 103. Critical reading, engineering
research, and writing through a Conceptual team-based project is emphasized. Two formal
presentations, two research papers using APA documentation style and a technical report
are required. Prerequisite: EDD 103, EDD 111. Corequisite: EDD 112 (Linked). Offered
in the Spring semester. 2 credits.
Levels: Undergraduate
-
MATH 226 - Integration Tech & Application
This is a 2-credit course covering the calculus of transcendental & inverse
functions, L’Hospital’s Rule, integral techniques, improper integrals,
calculus of parametric curves, and polar coordinates.
Prerequisites: Math 225 with a grade of at least a C- or consent of instructor. 2
credits.
Levels: Undergraduate
-
MATH 227 - Infinite Series
This is a 2-credit course covering sequences, series, power series, and Taylor
series.
Prerequisites: Math 226 with a grade of at least a C- or consent of instructor. 2
credits.
Levels: Undergraduate
-
PHYS 131 - Gen. Physics I(Calculus Based)
A calculus based introduction to the basic concepts underlying physical phenomena,
including kinematics, dynamics, energy, momentum, forces found in nature, rotational
motion, angular momentum, simple harmonic motion, fluids, thermodynamics and kinetic
theory. Lectures, discussion, demonstration, and laboratory. Pre or Co-requisites:
high school trigonometry and algebra; AP calculus or MATH 224/225. Offered spring
semester. 4 credits.
Levels: Graduate, Undergraduate
General Education Elective (G, D, A, N, H)
Body/Wellness (Y, S, B)
Year 2
Fall
-
ISE 231 - Human Factors
Review of the concepts involved in the application of scientific principles, methods,
and history to the development of engineering systems in which people play a significant
role. Primary focus is on the man/machine interface and how to design for the human
being as part of an overall system. Prerequisite: MATH 226/227 or permission of instructor.
Offered in the Fall semester. 4 credits.
Levels: Undergraduate
-
ISE 295 - Seminar Course
Development of the non-technical skills essential to effective engineering. Focus
is on the overview of ISE curriculum and review of technical elective options. Review
of internships, resume building, issues relevant to careers in ISE (e.g., typical
tasks done by ISEs) are explored. Discussion and exploration of opportunities within
program. Prerequisites: Sophomore Standing. Offered in the Fall semester. 1 credit.
Levels: Undergraduate
-
ME 273 - Statics
Equilibrium of particles and rigid bodies, equivalent force system, free-body diagrams,
centroid of areas, mass moment of inertia, truss analysis, friction. Must be completed
with a grade of C- or better to satisfy ME program requirements. Prerequisite: PHYS
131. Offered in the Fall and Spring semesters and the Summer session. 3 credits
Levels: Graduate, Undergraduate
AND
-
MATH 323 - Calculus III
Calculus of functions of several variables. Prerequisites: C- or better in MATH
227 or MATH 230, or consent of instructor. Every semester. 4 credits.
Levels: Undergraduate
OR
-
MATH 324 - ODE's for Scientists/Engineers
Introduction to ordinary differential equations. Topics include first order equations
(separable, linear, homogeneous, exact, substitutions); linear second order equations
(method of undetermined coefficients, variation of parameters); applications (oscillations
and resonance, circuits); Laplace transform; power series solutions. Only one of MATH
324 and MATH 371 can be counted towards Math minor. Prerequisites: C- or better in
MATH 227 or MATH 230. Every semester. 4 credits.
Levels: Undergraduate
Spring
-
ISE 211 - Engineering Economics
The fundamentals of engineering economy are introduced in this course. Topics covered
include time value of money, equivalence, cash flows all at varying interest rates
and points of time. The factors commonly used in industry for economic evaluation
of alternatives are introduced and applied in this course. The analysis includes both
a before tax and after tax evaluation of competing investment alternatives. Prerequisites:
Math 227 and EDD 112 or permission of instructor. Offered in the Spring semester.
4 credits.
Levels: Undergraduate
-
ISE 261 - Probabilistic Systems I
This course provides an introduction to probability models and statistical methods
most likely to be encountered and used by students in their careers in engineering
and the natural sciences. This introduction will emphasize, from the outset, that
variation is the source from which all statistical methodology flows. Discussion includes
the practical aspects of data collection and descriptive statistics with an introduction
to the basic concepts of probability theory and probability distributions, correlation,
point estimation, confidence intervals, and test of hypothesis. Prerequisites: Math
227 and EDD 112 or permission of instructor. Offered in the Spring semester. 4 credits.
Levels: Undergraduate
General Education Elective (G, D, A, N, H)
General Education Elective (G, D, A, N, H)
Year 3
Fall
-
ISE 311 - Enterprise Systems
Course introduces the concepts, design and planning of operating systems, with
particular emphasis on manufacturing systems. Topics include introduction to lean
manufacturing, JIT, Kanban, value stream mapping, standard times, MRP, inventory control,
etc. The course includes plant tours to local industries that practice the concepts
of the Toyota production system. Prerequisite: ISE 211 or permission of instructor.
Offered in the Fall semester. 4 credits.
Levels: Undergraduate
-
ISE 314 - Computer Program for Engineers
This course provides an introduction to computer programming and its applications
for industrial and systems engineering (ISE) students emphasizing modern software
engineering techniques in the context of industrial systems. Topics will include the
fundamental concepts and applications of computer programming, software engineering,
database management, computational problem solving, and statistical techniques for
data mining. In this course, programming languages such as Python, VB.Net, or Matlab
will be taught along with Excel VBA and SQL. Students will learn how to apply computer-programming
techniques to solve different ISE problems. Prerequisite: ISE 261 or permission of
instructor. Offered in the Fall semester. 4 credits.
Levels: Undergraduate
-
ISE 362 - Probabilistic Systems II & DOE
Methods of inference involving two independent samples and paired data are presented.
The analysis of variance is examined for single-factor and multi-factor experiments.
Regression analysis for simple linear models and correlation are discussed followed
by non-linear and multiple regression models. A practical, yet fundamental, approach
for building quality control charts from statistical concepts, as well as a goodness-of-fit
test for testing discrete and continuous underlying distributions, are reviewed. Prerequisites:
ISE 261 Probabilistic Systems I or permission of instructor. Offered in the Fall
semester. 4 credits
Levels: Undergraduate
-
MATH 304 - Linear Algebra
Vector spaces, linear transformations, determinants, characteristic values, inner
products. Prerequisites: C- or better in MATH 225. Every semester. 4 credits.
Levels: Graduate, Undergraduate
Spring
-
ISE 212 - Engineering Computing
Engineering computing is an essential tool for problem solving across multiple
disciplines. This course covers engineering programming/computing with an emphasis
on its applications in industrial and systems engineering (ISE). Programming languages
(such as MATLAB), data analytic and machine learning approaches, and the implementation
of these approaches into smart systems, including cyber-physical manufacturing and
smart telehealth, will be discussed. Students will be better prepared for future employment
and academic opportunities by establishing base knowledge in computer programing and
data science through this course.
Prerequisite: ISE 314 or permission of instructor. Offered in the Spring semester.
4 credits.
Levels: Undergraduate
-
ISE 320 - Optimiz & Operation Research I
Operations research (OR) is devoted to determination of the optimal course of action
of a decision problem given resource restrictions. This course primarily covers deterministic
optimization and operations research techniques. Following a review of linear algebra,
students learn how to mathematically model an engineering problem, how to solve the
problem to optimality and how to perform sensitivity analyses on the results. Students
learn linear programming (LP), integer programming (IP), branch-and-bound (B & B), and other optimization
techniques. Special emphasis on the solution of engineering decision making includes
the following areas: transportation models; network models; inventory models; assignment
problems; decision making under risk and uncertainty; and game theory. For non-ISE
students using this course as an elective for the Sustainability Engineering minor,
application of these techniques as applied to decision-making for sustainability are
included. Prerequisite: Math 304 or permission of instructor. Offered in the Spring
semester. 4 credits.
Levels: Undergraduate
-
ISE 363 - Quality Engineering
This course is designed to introduce the student to techniques required to maintain
and improve quality within manufacturing organizations and the service sector through
the use of statistical methodologies. The course covers concepts of quality, quality
management and assurance, product quality, design of quality, six sigma, lean (using
quality to eliminate waste), control charting, statistical process control, and quality
improvement through design by considering concept development and implementation.
Traditional and modern quality systems will be discussed including the work of such
quality gurus like Taguchi, Deming, Juran, and Shewhart. Prerequisites: ISE 362 or
permission of instructor. Offered in the Spring semester. 4 credits.
Levels: Undergraduate
General Education Elective (G, D, A, N, H)
Year 4
Fall
-
ISE 420 - Optimiz & Operations Res II
Operations research (OR) is devoted to the determination of the optimal course
of action of a decision problem given resource restrictions. This course is intended
as a second course in an Optimization and OR sequence and builds upon the material
presented in ISE 320. ISE 320 primarily restricts attention to deterministic OR models.
In addition to covering additional deterministic techniques (e.g., deterministic dynamic
programming and additional inventory problems not covered in ISE 320, among others),
ISE 420 covers probabilistic and advanced OR topics such as Monte Carlo simulation,
fundamentals of queueing theory, probabilistic dynamic programming, and others. The
course also introduces the student to emerging optimization techniques including,
but not limited to, tabu search, simulated annealing, and genetic algorithms. Prerequisite:
ISE 320 or permission of instructor. Offered in the Fall semester. 4 credits.
Levels: Undergraduate
-
ISE 421 - Modeling And Simulation
Model building, nature of simulation and material on the full range of simulation
activities, such as input analysis, output analysis, verification and validation,
and model animation. Includes random number generation; distribution functions and
random variates; applications of discrete event simulation methods to queueing, inventory control
and production planning problems; Markov processes, queueing theory and decision analysis.
Prerequisites: ISE 362 and ISE 320 or permission of instructor. Offered in the Fall
semester. 4 credits.
Levels: Undergraduate
-
ISE 470 - Industrl Automation&Ctrl
Industrial automation is a major field in the application of computer controls
and the many advances in computer systems. The objectives of this course are to: demonstrate
the ability to design systems for automating processes in manufacturing, demonstrate
problem-solving skills in automation, and safely use the machines in the engineering
laboratory to complete designed experiments. Lectures and laboratories include exploring
the use of sensors, industrial robotics, numerical control, programmable logic controllers,
machine vision, electrical circuits and the fundamentals of common electrical devices,
fuzzy control, the implementation of online computer control, and the ability to use
industrial technical software including Pro-Engineer and AutoCAD. Laboratory work
and technical reports are required. Prerequisites: ISE 311 or consent of department
chair. Offered in the Fall semester. 4 credits.
Levels: Undergraduate
-
ISE 491 - Systems Design
Covers the design process from the definition of requirements through the final
output. Focus is on the design principles and design methodologies used to ensure
a quality outcome. Prerequisite: ISE 311 and 362 or consent of department chair. Course
fee applies. Refer to the Schedule of Classes. Offered in the Fall semester. 4 credits.
Levels: Undergraduate
Spring
-
ISE 492 - Systems Design Project
The capstone project for the undergraduate degree. Students are expected to work
in multi-disciplinary teams to provide solutions through design. Prerequisite: ISE
491 or consent of department chair. Course fee applies. Offered in the Spring semester.
4 credits.
Levels: Graduate, Undergraduate
Technical Elective
Technical Elective
Technical Elective