ISE Course Guidesheet 2023-24

PRINTER-FRIENDLY VERSION OF THE GUIDESHEET

These suggested course tracks are based on undergraduate requirements from the class entering in the 2023-24 academic year. These are only suggestions, refer to the University Bulletin for the official requirements for each major.

For archived requirements refer to the University Bulletin Archives. Select the desired year, then click Link to Resource 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 103 - Engineering Communications I

  Develops student's critical thinking skills through the completion of two team-based projects. Emphasis is on teaming skills, critical reading, technical writing, oral presentation skills, project management and professionalism. A technical report and two professional presentations are required. Corequisite: EDD 111 (linked). 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 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

• 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

• 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

• PHYS 132 - Gen.Physics II(Calculus Based)

  Fundamentals of electricity, magnetism, light, wave motion and relativity. Lectures, discussion, demonstration and laboratory. Prerequisite: PHYS 131. Pre or Corequisite: MATH 226/227. Offered fall semester. 4 credits. Levels: 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