• A fundamental study of molecular bonding, structure, and reactivity. Principles of atomic structure, ionic and covalent bonding, reaction energetics, intermolecular forces, precipitation reactions, acid/base reactions, oxidation/reduction processes, and introductions to organic and inorganic chemistry.
• GEP Natural Sciences
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Co-requisites

• CH 102  General Chemistry Lab

Prerequisites

• One year of high school chemistry and the successful completion of the Chemistry Placement Exam or Chemistry Modules Exam, or:
  • Completion of CH 111 with a grade of C- or better
  • Achieving a grade of S in the co-requisite CH 102.

Prerequisite for

• MSE 200  Mechanical Properties of Structural Materials
• MSE 201 Structure and Properties of Engineering Materials
• ISE 316  Manufacturing Engineering I – Processes

• Laboratory experience to accompany CH 101. Introduction to basic laboratory equipment and skills.
• GEP Natural Sciences
• Typically offered in Fall, Spring, and Summer
• Hours: 1

Co-requisites

• CH 101  Chemistry, A Molecular Science

• ISE PRO TIP: If you take E 102, you only have to take three hours of interdisciplinary perspectives. If you don’t take it, you have to take five hours.
• ISE PRO TIP: If you are a transfer student, see your advisor about this class.
• This interdisciplinary course will provide an overview of the fourteen engineering grand challenges of the 21st century and their relationships to all of the separate engineering disciplines in the College of Engineering. The lectures will incorporate examples, guests, and specific readings on the challenges in sustainability, health, vulnerability, and the joy of living to advance civilization into the next century. Students will gain an appreciation for the methods in which engineers, in each discipline, acquire knowledge and design tools or interdisciplinary solutions essential to meet society’s future needs. The course is available to 25% non-engineering students.
• GEP Interdisciplinary Perspectives
• Typically offered in Fall only
• Hours: 2

• Introduction to the NC State computing system, and to student-owned computing resources. Includes topics such as maintaining your own computer, learning about campus-based computing resources and applications (how to access and use them), ethics and professionalism in the use of computing resources, introduction to web development and other campus resources.
• Typically offered in Fall, Spring, and Summer
• Hours: 1

Prerequisite for

• ISE 135  Computer Modeling for Engineers
• ISE 352  Fundamentals of Human-Machine Systems Design
• ISE 361  Deterministic Models in Industrial Engineering (CP)
• ISE 408 Control of Production and Service Systems (CP)
• ISE 441  Introduction to Simulation (CP)
• ISE 453 Modeling and Analysis of Supply Chains (CP)
• ISE 498 Senior Design Project

• Intensive instruction in academic writing and research. Basic principles of rhetoric and strategies for academic inquiry and argument. Instruction and practice in critical reading, including the generative and responsible use of print and electronic sources for academic research. Exploration of literate practices across a range of academic domains, laying the foundation for further writing development in college. Continued attention to grammar and conventions of standard written English. Successful completion of ENG 101 requires a C- or better. Credit for ENG 101 is not allowed if the student has already fulfilled the first-year writing requirement. ENG 101 cannot be taken with S/U grading.
• Typically offered in Fall, Spring, and Summer
• Hours: 4

Prerequisites

• Placement via English Department guidelines.

• Fitness and wellness courses focus on the fundamentals of health-based fitness, encompassing cardiorespiratory fitness, muscular strength, muscular endurance, muscular flexibility, and body composition. Students will apply these fundamental fitness principles in a variety of activities depending on the selected course. Undergraduate students are required to complete two credit hours from this selection of courses.
  • One fitness and wellness course (any Health and Exercise Studies 100-level course).
  • One additional credit hour of Health and Exercise Studies activity courses.
  • See the full listing »
  • GEP Health and Exercise Studies
  • Typically offered in Fall, Spring, and Summer
• Hours: 1

• First of three semesters in a calculus sequence for science and engineering majors. Functions, graphs, limits, derivatives, rules of differentiation, definite integrals, fundamental theorem of calculus, applications of derivatives and integrals. Credit is not allowed for both MA 141 and MA 121 or MA 131.
• GEP Mathematical Sciences
• Typically offered in Fall, Spring, and Summer
• Hours: 4

Prerequisites

• MA 111 or MA 108 with a grade C- or better
• A qualifying score on the math placement exam.

Prerequisite for

• ECE 331 Principles of Electrical Engineering
• ISE 135 Computer Modeling for Engineers
• ISE 352 Fundamentals of Human-Machine Systems Design
• ISE 361  Deterministic Models in Industrial Engineering (CP)
• ISE 362 Stochastic Models in Industrial Engineering (CP)
• ISE 408 Control of Production and Service Systems (CP)
• ISE 441  Introduction to Simulation (CP)
• ISE 453 Modeling and Analysis of Supply Chains (CP)
• ISE 498 Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II
• MA 241  Calculus II
• MA 242  Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• PY 205  Physics for Engineers and Scientists I
• PY 208  Physics for Engineers and Scientists II

• To complete the requirements for graduation and the General Education Program, the following credit hours and co-requisites must be satisfied. University approved GEP course lists for each category can be found at http://oucc.dasa.ncsu.edu/general-education-program/.
  • HUMANITIES – Six (6) credits to be selected in two different disciplines (two different course prefixes) from the approved GEP Humanities list.
  • SOCIAL SCIENCES – Three (3) credits to be selected in a discipline other than economics from the approved GEP Social Sciences list. EC 205 taken as part of the Major requirements satisfies three (3) credit hours of the six (6) credit hours needed to fulfill the GEP Social Sciences requirement.
  • ADDITIONAL BREADTH – Three (3) credits to be selected from the approved GEP Humanities, Social Sciences or Visual and Performing Arts lists.
  • INTERDISCIPLINARY PERSPECTIVES – Five (5) credits to be selected from the approved GEP Interdisciplinary Perspectives list. Ethics course taken as part of the Major requirements satisfies three (3) credit hours of the five to six (5-6) credit hours needed to fulfill the GEP Interdisciplinary Perspectives requirement.

• Hours: 3

Co-requisites

• FOREIGN LANGUAGE PROFICIENCY at the FL_102 level will be required for graduation.

• ISE PRO TIP: If you are a transfer student, see your advisor about this class
• An introduction to the College of Engineering as a discipline and profession. Emphasis on engineering design, interdisciplinary teamwork, and problem-solving from a general engineering perspective. Overview of academic policies affecting undergraduate engineering students. Exposure to the College of Engineering and university-wide programs and services.
• Typically offered in Fall, Spring, and Summer
• Hours: 1

Prerequisites

• Engineering Majors, Freshman standing

• Fundamental ideas in economics: scarcity, substitution, opportunity cost, marginal analysis, gross domestic product, real and nominal magnitudes. Supply and demand analysis. Microeconomic analysis of pricing in competitive and non-competitive markets. Macroeconomic analysis of production, employment, the price level, and inflation. Monetary and fiscal policy and the stabilization of the economy. Comparative advantage and international trade. Credit will not be given for both EC 205 and either EC 201 or ARE 201. Credit will not be given for both EC 205 and EC 202.
• You may take EC 205, EC 201, ARE 201 or ARE 201A
• GEP Social Sciences
• Typically offered in Fall, Spring, and Summer
• Hours: 3

• Fitness and wellness courses focus on the fundamentals of health-based fitness, encompassing cardiorespiratory fitness, muscular strength, muscular endurance, muscular flexibility, and body composition. Students will apply these fundamental fitness principles in a variety of activities depending on the selected course. Undergraduate students are required to complete two credit hours from this selection of courses.
  • One fitness and wellness course (any Health and Exercise Studies 100-level course).
  • One additional credit hour of Health and Exercise Studies activity courses.
  • See the full listing »
  • GEP Health and Exercise Studies
  • Typically offered in Fall and Spring
• Hours: 1

• The second of three semesters in a calculus sequence for science and engineering majors. Techniques and applications of integration, elementary differential equations, sequences, series, power series, and Taylor’s Theorem. Use of computational tools. Credit is not allowed for both MA 241 and MA 231.
• GEP Mathematical Sciences
• Typically offered in Fall, Spring, and Summer
• Hours: 4

Prerequisites

• MA 141  Calculus I with a grade of C- or better or AP Calculus credit.

Prerequisite for

• ISE 361  Deterministic Models in Industrial Engineering (CP)
• ISE 362 Stochastic Models in Industrial Engineering (CP)
• ISE 408 Control of Production and Service Systems (CP)
• ISE 441  Introduction to Simulation (CP)
• ISE 453 Modeling and Analysis of Supply Chains (CP)
• ISE 498 Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II
• MA 242  Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I

• The first semester of a two-semester sequence in introductory physics, with coordinated problem-solving experiences. A calculus-based study of mechanics, sound and heat. Credit not allowed for more than one of PY 205, PY 201, and PY 211.
• GEP Natural Sciences
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Co-requisites

• PY 206  Physics for Engineers and Scientists I Lab. Add both PY 205 and PY 206 to your shopping cart and then enroll simultaneously

Prerequisites

• MA 141  Calculus I with a grade of C- or better or MA 241PL.

Prerequisite for

• ECE 331 Principles of Electrical Engineering
• PY 208  Physics for Engineers and Scientists II

• Laboratory course to accompany the PY 205 lecture course. A calculus-based study of mechanics, sound and heat.
• GEP Natural Sciences
• Typically offered in Fall, Spring, and Summer
• Hours: 1

Co-requisites

• PY 205  Physics for Engineers and Scientists I. Add both PY 205 and PY 206 to your shopping cart and then enroll simultaneously.

Prerequisites

• MA 141  Calculus I with a grade of C- or better or MA 241PL.

• ISE PRO TIP: Become a Python expert and learn about Big DATA!
• Introductory course in computer-based modeling and programming using Python for Engineering Applications. Emphasis on algorithm development and engineering problem solving. Methodical development of Python scripts to link with Microsoft Excel using xlwings plugin through proper specifications; documentation, style; control structures; data types and data abstraction; graphical user interface design. Projects: design problems from industrial engineering systems. Functional relationships will be given and programs will be designed and developed from a list of specifications.
• Typically offered in Fall and Spring
• Hours: 3

Co-requisites

• MA 141  Calculus I

Prerequisites

• E 115  Introduction to Computing Environments

Prerequisite for

• ISE 352  Fundamentals of Human-Machine Systems Design
• ISE 361  Deterministic Models in Industrial Engineering (CP)
• ISE 408 Control of Production and Service Systems (CP)
• ISE 441  Introduction to Simulation (CP)
• ISE 453 Modeling and Analysis of Supply Chains (CP)
• ISE 498 Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

• The third of three semesters in a calculus sequence for science and engineering majors. Vectors, vector algebra, and vector functions. Functions of several variables, partial derivatives, gradients, directional derivatives, maxima and mimima. Multiple integration. Line and surface integrals, Green’s Theorem, Divergence Theorems, Stokes’ Theorem, and applications. Use of computational tools.
• Typically offered in Fall, Spring, and Summer
• Hours: 4

Prerequisites

• MA 141  Calculus I
• MA 241  Calculus II with a grade of C- or better or AP Calculus credit, or Higher Level IB credit.

Prerequisite for

• ISE 361 Deterministic Models in Industrial Engineering (CP)
• ISE 362 Stochastic Models in Industrial Engineering (CP)
• ISE 408 Control of Production and Service Systems (CP)
• ISE 441  Introduction to Simulation (CP)
• ISE 453  Modeling and Analysis of Supply Chains (CP)
• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I

MSE 200 Mechanical Properties of Structural Materials

• An introduction to the atomic and grain structure of structural materials emphasizing the mechanical properties. Effects of mechanical and heat treatments on structure and properties. Fatigue and creep of materials, fracture toughness, mechanical and non-destructive evaluation, effects of environment. Design considerations, characteristics of metals, ceramics, polymers and composites. Not for Materials majors.
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Prerequisites

• CH 101  Chemistry, A Molecular Science with a grade of C- or better

Prerequisite for

• ISE 315  Computer-aided Manufacturing
• ISE 316  Manufacturing Engineering I – Processes

MSE 201 Structure and Properties of Engineering Materials

• Introduction to the fundamental physical principles governing the structure and constitution of metallic and nonmetallic materials and the relationships among these principles and the mechanical, physical and chemical properties of engineering materials.
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Prerequisites

• CH 101  Chemistry, A Molecular Science with a grade of C- or better

Prerequisite for

• ISE 315  Computer-aided Manufacturing
• ISE 316  Manufacturing Engineering I – Processes

• The second semester of a two-semester sequence in introductory physics. A calculus-based study of electricity, magnetism, optics and modern physics. Credit not allowed for more than one of PY 208, PY 202, and PY 212.
• GEP Natural Sciences
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Co-requisites

• PY 209  Physics for Engineers and Scientists II Lab

Prerequisites

• MA 141  Calculus I
• PY 205  Physics for Engineers and Scientists I with grade of C- or better
• MA 241  Calculus II with grade of C- or better

Prerequisite for

• ECE 331  Principles of Electrical Engineering
• MAE 201 Engineering Thermodynamics

• Laboratory course to accompany the PY 208 lecture course. A calculus-based study of electricity, magnetism, optics and modern physics.
• GEP Natural Sciences
• Typically offered in Fall, Spring, and Summer
• Hours: 1

Co-requisites

• PY 208  Physics for Engineers and Scientists II

Prerequisites

• PY 205  Physics for Engineers and Scientists I with a grade of C- or better
• MA 241  Calculus II with a grade of C- or better

• Basic concepts of probability and distribution theory for students in the physical sciences, computer science and engineering. Provides the background necessary to begin study of statistical estimation, inference, regression analysis, and analysis of variance.
• Typically offered in Fall and Spring
• Hours: 3

Co-requisites

• MA 242  Calculus III

Prerequisites

• MA 141 Calculus I
• MA 241  Calculus II

Prerequisite for

• ISE 352 Fundamentals of Human-Machine Systems Design
• ISE 362 Stochastic Models in Industrial Engineering (CP)
• ISE 408  Control of Production and Service Systems (CP)
• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II
• ST 372  Introduction to Stat Inference and Regression

• To complete the requirements for graduation and the General Education Program, the following credit hours and co-requisites must be satisfied. University approved GEP course lists for each category can be found at http://oucc.dasa.ncsu.edu/general-education-program/.
  • HUMANITIES – Six (6) credits to be selected in two different disciplines (two different course prefixes) from the approved GEP Humanities list.
  • SOCIAL SCIENCES – Three (3) credits to be selected in a discipline other than economics from the approved GEP Social Sciences list. EC 205 taken as part of the Major requirements satisfies three (3) credit hours of the six (6) credit hours needed to fulfill the GEP Social Sciences requirement.
  • ADDITIONAL BREADTH – Three (3) credits to be selected from the approved GEP Humanities, Social Sciences or Visual and Performing Arts lists.
  • INTERDISCIPLINARY PERSPECTIVES – Five (5) credits to be selected from the approved GEP Interdisciplinary Perspectives list. Ethics course taken as part of the Major requirements satisfies three (3) credit hours of the five to six (5-6) credit hours needed to fulfill the GEP Interdisciplinary Perspectives requirement.

• Hours: 3

Co-requisites

• FOREIGN LANGUAGE PROFICIENCY at the FL_102 level will be required for graduation.

CE 214 Engineering Mechanics

• Basic force concepts and equilibrium analysis; distributed forces; centroids; moments of inertia; application to structural elements. Credit will not be given for both CE 214 and MAE 206.
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Co-requisites

• MA 242  Calculus III

Prerequisites

• MA 141  Calculus I
• MA 241  Calculus II with a grade of C or better
• PY 205  Physics for Engineers and Scientists I with a grade of C or better

MAE 206 Structure and Properties of Engineering Materials

• Basic concepts of forces in equilibrium. Distributed forces, frictional forces. Inertial properties. Application to machines, structures, and systems. Credit is not allowed for both MAE 206 and CE 214.
• Typically offered in Fall, Spring, and Summer

Prerequisites

• MA 241  Calculus II with a grade of C or better
• PY 205  Physics for Engineers and Scientists I with a grade of C or better

• This is an 8-week course. An introductory engineering graphics course that builds on the foundations of computer-aided 2D sketching and 3D modeling for industrial engineers. Students will develop and refine their ability to communicate designs via modeling techniques prolific in industry. The concurrent nature of ideation, engineering analysis and manufacturing will be emphasized as students review case studies and develop their own models. The constraint-based design will drive strategies that accurately reflect design intent and promote part family relationships and automation. Students will work in small teams to create a mechanism that must achieve certain functional criteria. ISE majors have priority registration for this course.
• You may also take GC 120 Foundations of Graphics
• Typically offered in Fall and Spring
• Hours: 1

Co-requisites

• ISE 216  Product Development and Rapid Prototyping

Prerequisites

• E 115  Introduction to Computing Environments

Prerequisite for

• ISE 315 Computer-aided Manufacturing

• ISE PRO TIP: Learn about product development
• An introduction to product development and prototyping. Team-based development of a new product during the semester. Specific topics are the voice of the customer, product specification and parameter specification, Quality Function Deployment and the House of Quality, concept generation, concept selection, detailed design using SolidWorks, prototyping, design for assembly, design for the environment, and intellectual properties and patents. Team presentations of a functional prototype of their product at the end of the semester.
• Typically offered in Fall and Spring
• Hours: 3

Co-requisites

• ISE 215  Introduction to Computer-Aided Design (CAD)

Prerequisite for

• ISE 316 Manufacturing Engineering I – Processes

MA 303 Linear Analysis

• Linear difference equations of first and second order, compound interest and amortization. Matrices and systems of linear equations, eigenvalues, diagonalization, systems of difference and differential equations, transform methods, population problems. Credit not allowed if credit has been obtained for MA 341 or MA 405.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• MA 141  Calculus I
• MA 241  Calculus II

Prerequisite for

• ISE3 361  Deterministic Models in Industrial Engineering (CP)
• ISE 362  Stochastic Models in Industrial Engineering (CP)
• ISE 408  Control of Production and Service Systems (CP)
• ISE 453  Modeling and Analysis of Supply Chains (CP)
• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

MA 341 Applied Differential Equations I

• Differential equations and systems of differential equations. Methods for solving ordinary differential equations, including Laplace transforms, phase plane analysis, and numerical methods. Matrix techniques for systems of linear ordinary differential equations. Credit is not allowed for both MA 301 and MA 341.
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Prerequisites

• MA 141  Calculus I
• MA 241  Calculus II

Prerequisite for

• ISE 361  Deterministic Models in Industrial Engineering (CP)
• ISE 362  Stochastic Models in Industrial Engineering (CP)
• ISE 408  Control of Production and Service Systems (CP)
• ISE 453  Modeling and Analysis of Supply Chains (CP)
• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

MA 405 Introduction to Linear Algebra

• This course offers a rigorous treatment of linear algebra, including systems of linear equations, matrices, determinants, abstract vector spaces, bases, linear independence, spanning sets, linear transformations, eigenvalues and eigenvectors, similarity, inner product spaces, orthogonality and orthogonal bases, and factorization of matrices. Compared with MA 305 Introductory Linear Algebra, more emphasis is placed on theory and proofs. Credit is not allowed for both MA 305 and MA 405.
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Co-requisites

• MA 341 Applied Differential Equations I is recommended

Prerequisites

• MA 141  Calculus I
• MA 225 Foundations of Advanced Mathematics is recommended as a prerequisite
• MA 241  Calculus II

Prerequisite for

• ISE 361  Deterministic Models in Industrial Engineering (CP)
• ISE 362  Stochastic Models in Industrial Engineering (CP)
• ISE 408  Control of Production and Service Systems (CP)
• ISE 453  Modeling and Analysis of Supply Chains (CP)
• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

• Statistical inference and regression analysis, including theory and applications. Point and interval estimation of population parameters. Hypothesis testing, including the use of t, chi-square and F. Simple linear regression and correlation. Introduction to multiple regression and one-way analysis of variance.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• MA 141  Calculus I
• MA 241  Calculus II with a grade of C or better
• MA 242  Calculus III
• ST 371  Introduction to Probability and Distribution Theory

Prerequisite for

• ISE 441  Introduction to Simulation (CP)
• ISE 443  Quality Control
• ISE 453  Modeling and Analysis of Supply Chains (CP)
• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

• To complete the requirements for graduation and the General Education Program, the following credit hours and co-requisites must be satisfied. University approved GEP course lists for each category can be found at http://oucc.dasa.ncsu.edu/general-education-program/.
  • HUMANITIES – Six (6) credits to be selected in two different disciplines (two different course prefixes) from the approved GEP Humanities list.
  • SOCIAL SCIENCES – Three (3) credits to be selected in a discipline other than economics from the approved GEP Social Sciences list. EC 205 taken as part of the Major requirements satisfies three (3) credit hours of the six (6) credit hours needed to fulfill the GEP Social Sciences requirement.
  • ADDITIONAL BREADTH – Three (3) credits to be selected from the approved GEP Humanities, Social Sciences or Visual and Performing Arts lists.
  • INTERDISCIPLINARY PERSPECTIVES – Five (5) credits to be selected from the approved GEP Interdisciplinary Perspectives list. Ethics course taken as part of the Major requirements satisfies three (3) credit hours of the five to six (5-6) credit hours needed to fulfill the GEP Interdisciplinary Perspectives requirement.

• Hours: 3

Co-requisites

• FOREIGN LANGUAGE PROFICIENCY at the FL_102 level will be required for graduation.

• Choose one course from the following options. Depending on which course you choose, this course can fulfill one other GEP requirement as long as another course has not already fulfilled that requirement.
  • EED 414 Ethics for Engineering Education
  • EED 514 Ethics for Engineering Education
  • IDS 201 Environmental Ethics
  • PHI 214 Issues in Business Ethics
  • PHI 227 Data Ethics
  • PHI 325 Bio-Medical Ethics
  • STS 214 Introduction to Science, Technology, and Society
  • STS 302 Contemporary Science, Technology and Human Values
  • STS 304 Ethical Dimensions of Progress
  • STS 322 Technological Catastrophes
  • STS 325 Bio-Medical Ethics
• Hours: Verify

• Concepts, units and methods of analysis in electrical engineering. Analysis of d-c and a-c circuits, characteristics of linear and non-linear electrical devices; principles of operational amplifiers; transformers; motors; and filters.
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Prerequisites

• MA 141  Calculus I
• MA 241 Calculus IIa C or better
• PY 205  Physics for Engineers and Scientists I
• PY 208  Physics for Engineers and Scientists II

• This is an 8-week course. Introduction to the principles of modern-day multi-axis machine tool control, using computer-aided manufacturing [CAM] software tools. Emphasis is placed on transferring part geometry from CAD to CAM, for the development of CNC-ready programs. Industry file formats, machining strategies, G & M-code generation, optimization and verification techniques will also be investigated. Upon successful completion of this course, students will be able to demonstrate proficiency in the use of industry-relevant CAD/CAM software and will be able to extend that knowledge to practice through exercises and projects. The use of CNC machine tools will be introduced and demonstrated in the department’s physical lab spaces. ISE majors have priority registration for this course.
• Typically offered in Fall, Spring, and Summer
• Hours: 1

Co-requisites

• ISE 316  Manufacturing Engineering I – Processes

Prerequisites

• E 115  Introduction to Computing Environments
• ISE 215  Introduction to Computer-Aided Design (CAD)

• ISE PRO TIP: Learn to make cool stuff
• The analytical study and design of manufacturing engineering with emphasis on mfg. and processes. Addresses the interaction of design, materials, and processing. Laboratory instruction and hands-on experience in metrology, machining, process planning, economic justification, and current mfg. methodologies.
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Corequisites

• ISE 315  Computer-aided Manufacturing

Prerequisites

• CH 101  Chemistry, A Molecular Science
• ISE 216  Product Development and Rapid Prototyping
• MSE 200  Mechanical Properties of Structural Materials
• MSE 201 Structure and Properties of Engineering Materials

• Introduction to mathematical modeling, analysis techniques, and solution procedures applicable to decision-making problems in a deterministic environment. Linear programming models and algorithms and associated computer codes are emphasized.
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Prerequisites

• E 115 Introduction to Computing Environments
• ISE 135  Computer Modeling for Engineers with a grade of C or better
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242 Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I

Prerequisite for

• ISE 453  Modeling and Analysis of Supply Chains (CP)
• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

• Only one engineering science class is required. You may take either:
  • CE 225, CE 282, CE 475. CE 478, CE 575 or CE 578
  • MAE 201, MAE 208, MAE 214 or MAE 308
  • MSE 301 or MSE 355
  • NE 205
  • TE 303
• Hours: 3

Prerequisites

• CE 214  Engineering Mechanics – Statics
• MAE 206 Engineering Statics

• BAE 455/555 R Coding for Data Management and Analysis
• BEC 475 Global Regulatory Affairs for Medical Products
• BEC 575 Global Regulatory Affairs for Medical Products
• CSC 422/522 Automated Learning and Data Analysis
• CSC 442 Introduction to Data Science
• DSA 202 Introduction to Data Visualization 
• DSA 205 Data Communication
• DSA 225 Data Science for Social Good
• DSA 235 Introduction to Data Science for Cybersecurity
• DSA 405 Data Wrangling and Web Scraping
• DSA 406 Exploratory Data Analysis for Big Data
• DSA 412 Exploring Machine Learning
• E 304 Introduction to Nano Science and Technology
• ECE 411 Introduction to Machine Learning
• ECE 482  Engineering Entrepreneurship and New Product Development I (ONLY when taken with ECE 483)
• EED 401/501 Teaching Undergraduate Engineers
• EED 411/511 Diversity & Social Justice in Engineering Education
• EED 502 Engineering Education : Content, Assessment, and Pedagogy
• EED 509 Field Experience in Engineering Education
• EGR 507 Product Life Cycle Management
• EGR/EM 517 Facilities Engineering Systems
• EM 538 Practical Machine Learning for Engineering Analytics
• FB 476 Environmental Life Cycle Analysis
• FB 576 Environmental Life Cycle Analysis
• ID 240 Human-Centered Design
• ISE 411  Supply Chain Economics and Decision Making
• ISE 413  Humanitarian Logistics
• ISE 416  Manufacturing Engineering II – Automation
• ISE 417  Database Applications in Industrial and Systems Engineering
• ISE 425  Medical Decision Making
• ISE 433  Service Systems Engineering
• ISE 435  Python for Industrial and Systems Engineers
• ISE 437  Data Analytics for Industrial Engineering
• ISE 447  Application of Data Science in Health Care
• ISE 452  Advanced Human-Machine Systems Design
• ISE 489 Special Topics in Industrial and Systems Engineering (1 – 3 Units)
• ISE 495  Project Work in Industrial Engineering (ONLY with permission from Director of Undergraduate Programs after securing a Faculty Sponsor)
• ISE 511 Supply Chain Economics and Decision Making
• ISE 513 Humanitarian Logistics
• ISE 519 Database Applications in Industrial and Systems Engineering
• ISE 520  Healthcare Systems Performance Improvement I (ONLY when taken after approved admission to Health Systems Engineering Certificate Program)
• ISE 525 Medical Decision Making
• ISE 533  Service Systems Engineering
• ISE 535 Python Programming for Industrial and Systems Engineers
• ISE 538 Practical Machine Learning for Engineering Analytics
• ISE 540 Human Factors in Systems Design
• ISE 541 Occupational Safety Engineering
• ISE 544 Occupational Biomechanics
• ISE 547 Applications of Data Science in Healthcare
• ISE 552 Design and Control of Production and Service Systems
• ISE 553 Modeling and Analysis of Supply Chains
• MA 326 Mathematical Foundations of Data Science I
• MAE 482 Engineering Entrepreneurship and New Product Development I (ONLY when taken with MAE 483)
• MSE 465  Introduction to Nanomaterials
• MSE 565  Introduction to Nanomaterials
• NE 419 Introduction to Nuclear Energy
• OR 425 Medical Decision Making
• OR 433 Service Systems Engineering
• OR 525 Medical Decision Making
• OR 533 Service Systems Engineering
• PSE 476 Environmental Life Cycle Analysis
• PSE 576 Environmental Life Cycle Analysis
• PSY 340 Human Factors Psychology
• PSY 400 Perception
• PSY 420  Cognitive Processes
• PSY 540 Human Factors in Systems Design
• ST 430  Introduction to Regression Analysis
• ST 431  Introduction to Experimental Design
• ST 432  Introduction to Survey Sampling
• ST 442 Introduction to Data Science
• TE 301 Engineering Textile Structures I: Linear Assemblies
• TE 302 Textile Manufacturing Processes and Systems II
• TE 565 Textile Composites
• TMS 565 Textile Composites
• Hours: 3

• Written communication in industrial and technical organizations, emphasizing internal communication with managers and technical personnel and including external communication with regulators, vendors, and clients. Intensive practice in writing; the relationship of writing to oral and visual communication. For students in engineering and other primarily technological curricula. Credit is not allowed for more than one of ENG 331, ENG 332, and ENG 333.
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Prerequisite

• Junior standing

ISE 352 Fundamentals of Human-Machine Systems Design

• ISE PRO TIP: Design safe and efficient processes
• An introduction to work methods and ergonomics. Coverage of methods to improve operator performance and production process efficiency. Techniques include project evaluation and review, operator-machine ratios, line balancing, work sampling, time study, wage payment, and pre-determined time systems. The ergonomics component includes workstation and hand-tool design, and methods for designing cognitive work and work environment.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Introduction to Computing Environments
• ISE 135  Computer Modeling for Engineers with a grade of C or better
• MA 141 Calculus I
• ST 371  Introduction to Probability and Distribution Theory with a grade of C- or better

ISE 443 Quality Design and Control

• ISE PRO TIP: Stop bad products before they are shipped
• Statistical methods in quality control. Control charts for variables and attributes. Process capability assessment. Role of experimentation in designing for quality. Total Quality Management. Tools for continuous quality improvement. Quality Function Deployment. ST 435 cannot be used as a substitute for this course.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• ST 371  Introduction to Probability and Distribution Theory
• ST 372  Introduction to Stat Inference and Regression

Prerequisite for

• ISE 398  Lean Six Sigma for Industrial Engineers
• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

ISE 408 Control of Production and Service Systems (CP)

• ISE PRO TIP: Learn to optimize supply chains
• This course focuses on understanding the behavior of manufacturing plants and service systems through a thorough, generalizable and fundamental understanding of the factors affecting their behavior.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Intro to Computing Environments
• ISE 135 Computer Modeling and Engineers
• ISE 362 Stochastic Models in Industrial Engineering (CP)
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242 Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371  Introduction to Probability and Distribution Theory with a C- or better

Prerequisite for

• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

ISE 441 Introduction to Simulation (CP)

• ISE PRO TIP: Build a model that simulates patients in a hospital
• Discrete-event stochastic simulation for the modeling and analysis of systems. Programming of simulation models in a simulation language. Input data analysis, variance reduction techniques, validation and verification, and analysis of simulation output. Random number generators and random variate generation.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Introduction to Computing Environments
• ISE 135  Computer Modeling for Engineers with a grade of C or better
• ISE 362 Stochastic Models in Industrial Engineering
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242  Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371  Introduction to Probability and Distribution Theory
• ST 372  Introduction to Stat Inference and Regression

Prerequisite for

• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

ISE 453 Modeling and Analysis of Supply Chains

• This course presents an overview of the basic issues and strategies involved in operating today’s global supply chains, from the design of the supply chain network through the management and location of inventories to the design and operation of the logistics systems that distribute goods from their source to the consumer
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Introduction to Computing Environments
• ISE 135  Computer Modeling for Engineers with a grade of C or better
• ISE 361 Deterministic Models in Industrial Engineering
• ISE 362 Stochastic Models in Industrial Engineering
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242  Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371  Introduction to Probability and Distribution Theory with a grad of C- of better
• ST 372  Introduction to Stat Inference and Regression

Prerequisite for

• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

• To complete the requirements for graduation and the General Education Program, the following credit hours and co-requisites must be satisfied. University approved GEP course lists for each category can be found at http://oucc.dasa.ncsu.edu/general-education-program/.
  • HUMANITIES – Six (6) credits to be selected in two different disciplines (two different course prefixes) from the approved GEP Humanities list.
  • SOCIAL SCIENCES – Three (3) credits to be selected in a discipline other than economics from the approved GEP Social Sciences list. EC 205 taken as part of the Major requirements satisfies three (3) credit hours of the six (6) credit hours needed to fulfill the GEP Social Sciences requirement.
  • ADDITIONAL BREADTH – Three (3) credits to be selected from the approved GEP Humanities, Social Sciences or Visual and Performing Arts lists.
  • INTERDISCIPLINARY PERSPECTIVES – Five (5) credits to be selected from the approved GEP Interdisciplinary Perspectives list. Ethics course taken as part of the Major requirements satisfies three (3) credit hours of the five to six (5-6) credit hours needed to fulfill the GEP Interdisciplinary Perspectives requirement.

• Hours: 3

Co-requisites

• FOREIGN LANGUAGE PROFICIENCY at the FL_102 level will be required for graduation.

• BAE 455/555 R Coding for Data Management and Analysis
• BEC 475 Global Regulatory Affairs for Medical Products
• BEC 575 Global Regulatory Affairs for Medical Products
• CSC 422/522 Automated Learning and Data Analysis
• CSC 442 Introduction to Data Science
• DSA 202 Introduction to Data Visualization 
• DSA 205 Data Communication
• DSA 225 Data Science for Social Good
• DSA 235 Introduction to Data Science for Cybersecurity
• DSA 405 Data Wrangling and Web Scraping
• DSA 406 Exploratory Data Analysis for Big Data
• DSA 412 Exploring Machine Learning
• E 304 Introduction to Nano Science and Technology
• ECE 411 Introduction to Machine Learning
• ECE 482  Engineering Entrepreneurship and New Product Development I (ONLY when taken with ECE 483)
• EED 401/501 Teaching Undergraduate Engineers
• EED 411/511 Diversity & Social Justice in Engineering Education
• EED 502 Engineering Education : Content, Assessment, and Pedagogy
• EED 509 Field Experience in Engineering Education
• EGR 507 Product Life Cycle Management
• EGR/EM 517 Facilities Engineering Systems
• EM 538 Practical Machine Learning for Engineering Analytics
• FB 476 Environmental Life Cycle Analysis
• FB 576 Environmental Life Cycle Analysis
• ID 240 Human-Centered Design
• ISE 411  Supply Chain Economics and Decision Making
• ISE 413  Humanitarian Logistics
• ISE 416  Manufacturing Engineering II – Automation
• ISE 417  Database Applications in Industrial and Systems Engineering
• ISE 425  Medical Decision Making
• ISE 433  Service Systems Engineering
• ISE 435  Python for Industrial and Systems Engineers
• ISE 437  Data Analytics for Industrial Engineering
• ISE 447  Application of Data Science in Health Care
• ISE 452  Advanced Human-Machine Systems Design
• ISE 489 Special Topics in Industrial and Systems Engineering (1 – 3 Units)
• ISE 495  Project Work in Industrial Engineering (ONLY with permission from Director of Undergraduate Programs after securing a Faculty Sponsor)
• ISE 511 Supply Chain Economics and Decision Making
• ISE 513 Humanitarian Logistics
• ISE 519 Database Applications in Industrial and Systems Engineering
• ISE 520  Healthcare Systems Performance Improvement I (ONLY when taken after approved admission to Health Systems Engineering Certificate Program)
• ISE 525 Medical Decision Making
• ISE 533  Service Systems Engineering
• ISE 535 Python Programming for Industrial and Systems Engineers
• ISE 538 Practical Machine Learning for Engineering Analytics
• ISE 540 Human Factors in Systems Design
• ISE 541 Occupational Safety Engineering
• ISE 544 Occupational Biomechanics
• ISE 547 Applications of Data Science in Healthcare
• ISE 552 Design and Control of Production and Service Systems
• ISE 553 Modeling and Analysis of Supply Chains
• MA 326 Mathematical Foundations of Data Science I
• MAE 482 Engineering Entrepreneurship and New Product Development I (ONLY when taken with MAE 483)
• MSE 465  Introduction to Nanomaterials
• MSE 565  Introduction to Nanomaterials
• NE 419 Introduction to Nuclear Energy
• OR 425 Medical Decision Making
• OR 433 Service Systems Engineering
• OR 525 Medical Decision Making
• OR 533 Service Systems Engineering
• PSE 476 Environmental Life Cycle Analysis
• PSE 576 Environmental Life Cycle Analysis
• PSY 340 Human Factors Psychology
• PSY 400 Perception
• PSY 420  Cognitive Processes
• PSY 540 Human Factors in Systems Design
• ST 430  Introduction to Regression Analysis
• ST 431  Introduction to Experimental Design
• ST 432  Introduction to Survey Sampling
• ST 442 Introduction to Data Science
• TE 301 Engineering Textile Structures I: Linear Assemblies
• TE 302 Textile Manufacturing Processes and Systems II
• TE 565 Textile Composites
• TMS 565 Textile Composites
• Hours: 3

ISE 520  Healthcare Systems Performance Improvement I

• ISE PRO TIP: To earn a Health Systems Engineering Specialization, you will take this course, ISE 520, as a technical elective and ISE 521 instead of ISE 498.
• Methods used to improve the performance of health care delivery systems with an emphasis on patient care cost, access, and quality. Adaptation of lean and six-sigma to rapid and continuous health care systems improvement through organizational and process transformation. Fundamentals of scheduling, staffing, and productivity in health systems employing simulation and optimization. Health care policy and management.
• Typically offered in Fall only
• Hours: 3

Prerequisites

• Approved admission to the Health Systems Engineering Certificate Program
• E 115 Introduction to Computing Environments
• ISE 135 Computer Modeling for Engineers
• ISE 352  Fundamentals of Human-Machine Systems Design
• ISE 361  Deterministic Models in Industrial Engineering (CP)
• ISE 441  Introduction to Simulation (CP)
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242 Calculus II
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371  Introduction to Probability and Distribution Theory
• ST 372  Introduction to Stat Inference and Regression

Prerequisite for

• ISE 521  Healthcare Systems Performance Improvement II

ISE 408 Control of Production and Service Systems (CP)

• ISE PRO TIP: Learn to optimize supply chains
• This course focuses on understanding the behavior of manufacturing plants and service systems through a thorough, generalizable and fundamental understanding of the factors affecting their behavior.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Intro to Computing Environments
• ISE 135 Computer Modeling and Engineers
• ISE 362 Stochastic Models in Industrial Engineering (CP)
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242 Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371  Introduction to Probability and Distribution Theory with a C- or better

Prerequisite for

• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

ISE 441 Introduction to Simulation (CP)

• ISE PRO TIP: Build a model that simulates patients in a hospital
• Discrete-event stochastic simulation for the modeling and analysis of systems. Programming of simulation models in a simulation language. Input data analysis, variance reduction techniques, validation and verification, and analysis of simulation output. Random number generators and random variate generation.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Introduction to Computing Environments
• ISE 135  Computer Modeling for Engineers with a grade of C or better
• ISE 362 Stochastic Models in Industrial Engineering
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242  Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371  Introduction to Probability and Distribution Theory
• ST 372  Introduction to Stat Inference and Regression

Prerequisite for

• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

ISE 453 Modeling and Analysis of Supply Chains

• This course presents an overview of the basic issues and strategies involved in operating today’s global supply chains, from the design of the supply chain network through the management and location of inventories to the design and operation of the logistics systems that distribute goods from their source to the consumer
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Introduction to Computing Environments
• ISE 135  Computer Modeling for Engineers with a grade of C or better
• ISE 361 Deterministic Models in Industrial Engineering
• ISE 362 Stochastic Models in Industrial Engineering
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242  Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371  Introduction to Probability and Distribution Theory with a grad of C- of better
• ST 372  Introduction to Stat Inference and Regression

Prerequisite for

• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

ISE 408 Control of Production and Service Systems (CP)

• ISE PRO TIP: Learn to optimize supply chains
• This course focuses on understanding the behavior of manufacturing plants and service systems through a thorough, generalizable and fundamental understanding of the factors affecting their behavior.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Intro to Computing Environments
• ISE 135 Computer Modeling and Engineers
• ISE 362 Stochastic Models in Industrial Engineering (CP)
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242 Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371  Introduction to Probability and Distribution Theory with a C- or better

Prerequisite for

• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

ISE 441 Introduction to Simulation (CP)

• ISE PRO TIP: Build a model that simulates patients in a hospital
• Discrete-event stochastic simulation for the modeling and analysis of systems. Programming of simulation models in a simulation language. Input data analysis, variance reduction techniques, validation and verification, and analysis of simulation output. Random number generators and random variate generation.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Introduction to Computing Environments
• ISE 135  Computer Modeling for Engineers with a grade of C or better
• ISE 362 Stochastic Models in Industrial Engineering
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242  Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371  Introduction to Probability and Distribution Theory
• ST 372  Introduction to Stat Inference and Regression

Prerequisite for

• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

ISE 453 Modeling and Analysis of Supply Chains

• This course presents an overview of the basic issues and strategies involved in operating today’s global supply chains, from the design of the supply chain network through the management and location of inventories to the design and operation of the logistics systems that distribute goods from their source to the consumer
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Introduction to Computing Environments
• ISE 135  Computer Modeling for Engineers with a grade of C or better
• ISE 361 Deterministic Models in Industrial Engineering
• ISE 362 Stochastic Models in Industrial Engineering
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242  Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371  Introduction to Probability and Distribution Theory with a grad of C- of better
• ST 372  Introduction to Stat Inference and Regression

Prerequisite for

• ISE 521  Healthcare Systems Performance Improvement II
• ISE 498  Senior Design Project

ISE 352 Fundamentals of Human-Machine Systems Design

• ISE PRO TIP: Design safe and efficient processes
• An introduction to work methods and ergonomics. Coverage of methods to improve operator performance and production process efficiency. Techniques include project evaluation and review, operator-machine ratios, line balancing, work sampling, time study, wage payment, and pre-determined time systems. The ergonomics component includes workstation and hand-tool design, and methods for designing cognitive work and work environment.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• E 115 Introduction to Computing Environments
• ISE 135  Computer Modeling for Engineers with a grade of C or better
• MA 141 Calculus I
• ST 371  Introduction to Probability and Distribution Theory with a grade of C- or better

ISE 443 Quality Design and Control

• ISE PRO TIP: Stop bad products before they are shipped
• Statistical methods in quality control. Control charts for variables and attributes. Process capability assessment. Role of experimentation in designing for quality. Total Quality Management. Tools for continuous quality improvement. Quality Function Deployment. ST 435 cannot be used as a substitute for this course.
• Typically offered in Fall and Spring
• Hours: 3

Prerequisites

• ST 371  Introduction to Probability and Distribution Theory
• ST 372  Introduction to Stat Inference and Regression

Prerequisite for

• ISE 398  Lean Six Sigma for Industrial Engineers
• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

• To complete the requirements for graduation and the General Education Program, the following credit hours and co-requisites must be satisfied. University approved GEP course lists for each category can be found at http://oucc.dasa.ncsu.edu/general-education-program/.
  • HUMANITIES – Six (6) credits to be selected in two different disciplines (two different course prefixes) from the approved GEP Humanities list.
  • SOCIAL SCIENCES – Three (3) credits to be selected in a discipline other than economics from the approved GEP Social Sciences list. EC 205 taken as part of the Major requirements satisfies three (3) credit hours of the six (6) credit hours needed to fulfill the GEP Social Sciences requirement.
  • ADDITIONAL BREADTH – Three (3) credits to be selected from the approved GEP Humanities, Social Sciences or Visual and Performing Arts lists.
  • INTERDISCIPLINARY PERSPECTIVES – Five (5) credits to be selected from the approved GEP Interdisciplinary Perspectives list. Ethics course taken as part of the Major requirements satisfies three (3) credit hours of the five to six (5-6) credit hours needed to fulfill the GEP Interdisciplinary Perspectives requirement.

• Hours: 3

Co-requisites

• FOREIGN LANGUAGE PROFICIENCY at the FL_102 level will be required for graduation.

• BAE 455/555 R Coding for Data Management and Analysis
• BEC 475 Global Regulatory Affairs for Medical Products
• BEC 575 Global Regulatory Affairs for Medical Products
• CSC 422/522 Automated Learning and Data Analysis
• CSC 442 Introduction to Data Science
• DSA 202 Introduction to Data Visualization 
• DSA 205 Data Communication
• DSA 225 Data Science for Social Good
• DSA 235 Introduction to Data Science for Cybersecurity
• DSA 405 Data Wrangling and Web Scraping
• DSA 406 Exploratory Data Analysis for Big Data
• DSA 412 Exploring Machine Learning
• E 304 Introduction to Nano Science and Technology
• ECE 411 Introduction to Machine Learning
• ECE 482  Engineering Entrepreneurship and New Product Development I (ONLY when taken with ECE 483)
• EED 401/501 Teaching Undergraduate Engineers
• EED 411/511 Diversity & Social Justice in Engineering Education
• EED 502 Engineering Education : Content, Assessment, and Pedagogy
• EED 509 Field Experience in Engineering Education
• EGR 507 Product Life Cycle Management
• EGR/EM 517 Facilities Engineering Systems
• EM 538 Practical Machine Learning for Engineering Analytics
• FB 476 Environmental Life Cycle Analysis
• FB 576 Environmental Life Cycle Analysis
• ID 240 Human-Centered Design
• ISE 411  Supply Chain Economics and Decision Making
• ISE 413  Humanitarian Logistics
• ISE 416  Manufacturing Engineering II – Automation
• ISE 417  Database Applications in Industrial and Systems Engineering
• ISE 425  Medical Decision Making
• ISE 433  Service Systems Engineering
• ISE 435  Python for Industrial and Systems Engineers
• ISE 437  Data Analytics for Industrial Engineering
• ISE 447  Application of Data Science in Health Care
• ISE 452  Advanced Human-Machine Systems Design
• ISE 489 Special Topics in Industrial and Systems Engineering (1 – 3 Units)
• ISE 495  Project Work in Industrial Engineering (ONLY with permission from Director of Undergraduate Programs after securing a Faculty Sponsor)
• ISE 511 Supply Chain Economics and Decision Making
• ISE 513 Humanitarian Logistics
• ISE 519 Database Applications in Industrial and Systems Engineering
• ISE 520  Healthcare Systems Performance Improvement I (ONLY when taken after approved admission to Health Systems Engineering Certificate Program)
• ISE 525 Medical Decision Making
• ISE 533  Service Systems Engineering
• ISE 535 Python Programming for Industrial and Systems Engineers
• ISE 538 Practical Machine Learning for Engineering Analytics
• ISE 540 Human Factors in Systems Design
• ISE 541 Occupational Safety Engineering
• ISE 544 Occupational Biomechanics
• ISE 547 Applications of Data Science in Healthcare
• ISE 552 Design and Control of Production and Service Systems
• ISE 553 Modeling and Analysis of Supply Chains
• MA 326 Mathematical Foundations of Data Science I
• MAE 482 Engineering Entrepreneurship and New Product Development I (ONLY when taken with MAE 483)
• MSE 465  Introduction to Nanomaterials
• MSE 565  Introduction to Nanomaterials
• NE 419 Introduction to Nuclear Energy
• OR 425 Medical Decision Making
• OR 433 Service Systems Engineering
• OR 525 Medical Decision Making
• OR 533 Service Systems Engineering
• PSE 476 Environmental Life Cycle Analysis
• PSE 576 Environmental Life Cycle Analysis
• PSY 340 Human Factors Psychology
• PSY 400 Perception
• PSY 420  Cognitive Processes
• PSY 540 Human Factors in Systems Design
• ST 430  Introduction to Regression Analysis
• ST 431  Introduction to Experimental Design
• ST 432  Introduction to Survey Sampling
• ST 442 Introduction to Data Science
• TE 301 Engineering Textile Structures I: Linear Assemblies
• TE 302 Textile Manufacturing Processes and Systems II
• TE 565 Textile Composites
• TMS 565 Textile Composites
• Hours: 3

• BAE 455/555 R Coding for Data Management and Analysis
• BEC 475 Global Regulatory Affairs for Medical Products
• BEC 575 Global Regulatory Affairs for Medical Products
• CSC 422/522 Automated Learning and Data Analysis
• CSC 442 Introduction to Data Science
• DSA 202 Introduction to Data Visualization 
• DSA 205 Data Communication
• DSA 225 Data Science for Social Good
• DSA 235 Introduction to Data Science for Cybersecurity
• DSA 405 Data Wrangling and Web Scraping
• DSA 406 Exploratory Data Analysis for Big Data
• DSA 412 Exploring Machine Learning
• E 304 Introduction to Nano Science and Technology
• ECE 411 Introduction to Machine Learning
• ECE 482  Engineering Entrepreneurship and New Product Development I (ONLY when taken with ECE 483)
• EED 401/501 Teaching Undergraduate Engineers
• EED 411/511 Diversity & Social Justice in Engineering Education
• EED 502 Engineering Education : Content, Assessment, and Pedagogy
• EED 509 Field Experience in Engineering Education
• EGR 507 Product Life Cycle Management
• EGR/EM 517 Facilities Engineering Systems
• EM 538 Practical Machine Learning for Engineering Analytics
• FB 476 Environmental Life Cycle Analysis
• FB 576 Environmental Life Cycle Analysis
• ID 240 Human-Centered Design
• ISE 411  Supply Chain Economics and Decision Making
• ISE 413  Humanitarian Logistics
• ISE 416  Manufacturing Engineering II – Automation
• ISE 417  Database Applications in Industrial and Systems Engineering
• ISE 425  Medical Decision Making
• ISE 433  Service Systems Engineering
• ISE 435  Python for Industrial and Systems Engineers
• ISE 437  Data Analytics for Industrial Engineering
• ISE 447  Application of Data Science in Health Care
• ISE 452  Advanced Human-Machine Systems Design
• ISE 489 Special Topics in Industrial and Systems Engineering (1 – 3 Units)
• ISE 495  Project Work in Industrial Engineering (ONLY with permission from Director of Undergraduate Programs after securing a Faculty Sponsor)
• ISE 511 Supply Chain Economics and Decision Making
• ISE 513 Humanitarian Logistics
• ISE 519 Database Applications in Industrial and Systems Engineering
• ISE 520  Healthcare Systems Performance Improvement I (ONLY when taken after approved admission to Health Systems Engineering Certificate Program)
• ISE 525 Medical Decision Making
• ISE 533  Service Systems Engineering
• ISE 535 Python Programming for Industrial and Systems Engineers
• ISE 538 Practical Machine Learning for Engineering Analytics
• ISE 540 Human Factors in Systems Design
• ISE 541 Occupational Safety Engineering
• ISE 544 Occupational Biomechanics
• ISE 547 Applications of Data Science in Healthcare
• ISE 552 Design and Control of Production and Service Systems
• ISE 553 Modeling and Analysis of Supply Chains
• MA 326 Mathematical Foundations of Data Science I
• MAE 482 Engineering Entrepreneurship and New Product Development I (ONLY when taken with MAE 483)
• MSE 465  Introduction to Nanomaterials
• MSE 565  Introduction to Nanomaterials
• NE 419 Introduction to Nuclear Energy
• OR 425 Medical Decision Making
• OR 433 Service Systems Engineering
• OR 525 Medical Decision Making
• OR 533 Service Systems Engineering
• PSE 476 Environmental Life Cycle Analysis
• PSE 576 Environmental Life Cycle Analysis
• PSY 340 Human Factors Psychology
• PSY 400 Perception
• PSY 420  Cognitive Processes
• PSY 540 Human Factors in Systems Design
• ST 430  Introduction to Regression Analysis
• ST 431  Introduction to Experimental Design
• ST 432  Introduction to Survey Sampling
• ST 442 Introduction to Data Science
• TE 301 Engineering Textile Structures I: Linear Assemblies
• TE 302 Textile Manufacturing Processes and Systems II
• TE 565 Textile Composites
• TMS 565 Textile Composites
• Hours: 3

• Engineering and managerial decision making. The theory of interest and its uses. Equivalent annual costs, present worth, internal rates of return, and benefit/cost ratios. Accounting depreciation and its tax effects. Economic lot size and similar cost minimization models. Sensitivity analysis. Cost dichotomies: fixed vs. variable and incremental vs. sunk, using accounting data. Replacement theory and economic life. Engineering examples.
• Typically offered in Fall, Spring, and Summer
• Hours: 3

Prerequisites

• MA 141  Calculus I with a grade of C or better

• This course leverages the Lean Six Sigma framework to analyze and solve problems related to quality improvement projects. Students in this course will apply the Lean Six Sigma philosophy and goals to build problem-solving, analytical and technical skills while implementing successful change management techniques.
• Typically offered in Fall and Spring
• Hours: 1

Co-requisite for

• ISE 498  Senior Design Project
• ISE 521  Healthcare Systems Performance Improvement II

ISE 498  Senior Design Project

• ISE PRO TIP: Work on a team project with a local company and gain real-world experience
• Individual or group design projects requiring problem definition and analysis, synthesis, specification and presentation of a designed solution. Students work under faculty supervision either on actual industrial engineering problems posed by local industrial, service and governmental organizations or on emerging research issues.
• Typically offered in Fall and Spring

• Hours: 3

Prerequisites

• E 115 Introduction to Computing Environments
• ISE 135 Computer Modeling for Engineers
• ISE 361 Deterministic Models in Industrial Engineering (CP)
• ISE 362 Stochastic Models in Industrial Engineering (CP)
• ISE 408  Control of Production and Service Systems (CP)
• ISE 441  Introduction to Simulation (CP)
• ISE 453  Modeling and Analysis of Supply Chains (CP)
• MA 141 Calculus I
• MA 241 Calculus II
• MA 242 Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371 Introduction to Probability and Distribution Theory
• ST 372 Introduction to Stat Inference and Regression

Co-requisites

• ISE 398 Lean Six Sigma for Industrial Engineers

ISE 521  Healthcare Systems Performance Improvement II

• Continuation of ISE 520 with a concentration on completing a healthcare systems process improvement project at the sponsoring healthcare institution. The project must employ the tools and techniques of healthcare systems process improvement. The project is done in conjunction with a diverse and multi-disciplinary team from the healthcare institution. The student must serve as a facilitator and coach, resulting in a project with measured success. Success will be determined by the improvement in patient care as quantified in cost, quality, and access.
• Typically offered in Spring only
• Hours: 3

Prerequisites

• Approved admission to the Health Systems Engineering Certificate Program
• E 115 Introduction to Computing Environments
• ISE 135 Computer Modeling for Engineers
• ISE 361 Deterministic Models in Industrial Engineering (CP)
• ISE 362 Stochastic Models in Industrial Engineering (CP)
• ISE 408  Control of Production and Service Systems (CP)
• ISE 441  Introduction to Simulation (CP)
• ISE 453  Modeling and Analysis of Supply Chains (CP)
• ISE 520  Healthcare Systems Performance Improvement I
• MA 141 Calculus I
• MA 142 Calculus II
• MA 242 Calculus III
• MA 303 Linear Analysis
• MA 341 Applied Differential Equations I
• ST 371 Introduction to Probability and Distribution Theory
• ST 372 Introduction to Stat Inference and Regression

Co-requisites

• ISE 398 Lean Six Sigma for Industrial Engineers