ISE 135Computer-Based Modeling for Industrial
Hours Engineering 0 MA 116 Introduction to Scientific Programming (Math) 0 PY 251 Introduction to Scientific Computing
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
North Carolina State University at Raleigh · Courses
ISE
112 courses with the subject ISE, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
ISE 215Foundations of Design & 3D Modeling for1
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 1
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 216Product Development and Rapid3
or D 100 Prototyping Hours or Design Inquiry I: Methods and 3 Processes 3 TDE Technical Electives (p. 516) 3 3 Hours 15 3 Third Year 3 Fall Semester 3 ED 311 Classroom Assessment Principles and 2 3 Practices 3 ED 312 Classroom Assessment Principles and 1 3 Practices Professional Learning Lab 3 EDP 304 Educational Psychology 3 3 ELP 344 School and Society 3 3 TDE Technical Electives (p. 516) 3 TDE Technical Electives (p. 516) 3
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 311Engineering Economic Analysis ()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, use of accounting data. Replacement theory and economic life. Engineering examples. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Grade of C or better in MA 141
ISE 315Introduction to Computer-Aided1
2 Manufacturing 1 Ethics (p. 734) Verify 4 ISE 361 Deterministic Models in Industrial 3 4 Engineering 1 ISE 362 Stochastic Models in Industrial Engineering 3 16 GEP Requirement (p. 82) 3 1 Spring Semester
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 1
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 316Manufacturing Engineering I - Processes ()3
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 and Spring
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- MSE 200 and ISE 216; Co-requisite: ISE 315
ISE 352Fundamentals of Human-Machine Systems Design3
Hours ISE 361 Deterministic Models in Industrial Engineering 3
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 361Deterministic Models in Industrial Engineering
ISE 4** ISE 5**
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 362Stochastic Models in Industrial Engineering3
1 MAE 302 Engineering Thermodynamics II 3 3 MAE 305 Mechanical Engineering Laboratory I 1 3 MAE 306 Mechanical Engineering Laboratory II 1 3 MAE 315 Fundamentals of Vibrations 3 3 MAE 316 Strength of Mechanical Components 3 3 MAE 351 Aerodynamics II 3 3 MAE 352 Experimental Aerodynamics II 1 3 MAE 361 Dynamics & Controls 3 3 MAE 371 Aerospace Structures I 3 3 MAE 372 Aerospace Vehicle Structures Lab 1 3 MSE 301 Introduction to Thermodynamics of Materials 3 2 MSE 355 Electrical, Magnetic and Optical Properties of 3
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 398Lean Six Sigma for Industrial Engineering ()1
This course leverages the Lean Six Sigma framework to analyze and solve problems as 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
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Corequisite
- ISE 498 or ISE 521
ISE 408Design and Control of Production and3
or ISE 441 Service Systems or ISE 453 or Introduction to Simulation or Modeling and Analysis of Supply
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 411/511 Supply Chain Economics and Decision Making
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 413/513 Humanitarian Logistics
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 416Manufacturing Engineering II - Automation ()3
This course introduces the principles and applications of automated manufacturing systems with a focus on modern industrial practices. Topics include manufacturing control loops, programmable logic controllers (PLCs), and real-time control using counters, timers, and PC- PLC coding. Students will learn to design and program sequential and synchronous control systems, integrate human-machine interfaces, and apply robotics in manufacturing automation, gaining hands-on experience with Industrial manipulators. The course also examines material handling, assembly, and robotics technologies for flexible manufacturing systems. Upon completing the course, students will be equipped to analyze, design, and implement automation solutions that enhance efficiency, flexibility, and productivity in advanced manufacturing environments. Typically offered in Spring only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ISE 316
ISE 417Database Applications in Industrial & Systems
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 419Database Applications in Industrial & Systems
Engineering (3 credit hours) Rapid applications development (RAD) tools to design and implement database-based applications. The SQL database query language, a standard RAD environment and how to access information in a database from it, use of Visual Basic for Applications, and how to integrate these tools together to design and build engineering applications. Examples will be from manufacturing and production systems. Typically offered in Fall, Spring, and Summer ISE 425/OR 425/OR 525/ISE 525 Medical Decision Making (3 credit hours) This will focus on the use of optimization in Medicine. The main goal of this course is for you to develop an understanding of the recent methodological literature on optimization methods applied to medical decision making. We will cover a broad range of topics, both from the methodological perspective (study models using integer programming, dynamic programming, simulation, etc.) and from the public policy/public health perspective (who are the stake holders, what are the relevant questions modelers can answer, how is the patient taken into account, etc.). P: ISE/OR 505 or equivalent and ISE 560 or equivalent or permission by instructor Typically offered in Spring only ISE 433/ISE 533/OR 433/OR 533 Service Systems Engineering (3 credit hours) This course intends to provide a comprehensive treatment on the use of quantitative modeling for decision making and best practices in the service industries. The goal of this class is to teach students to able to identify, understand, and analyze services; and acquire the quantitative skills necessary to model key decisions and performance metrics associated with services. Students will be exposed both to classical and contemporary examples of challenges and opportunities that arise when working in the service sector. Typically offered in Spring only ISE 435/ISE 535 Python Programming for Industrial & Systems Engineers (3 credit hours) The objective of this course is to build on your knowledge of computing and data analysis by focusing on programming using the Python language. IN particular, you will learn more about the Python and its ecosystem of libraries, how to use data structures in Python programs, conduct File I/O operations, and perform numerical and scientific computing within Python. This course is designed for senior undergraduate and graduate students to get the basics of the Python language and learn to use it to perform scientific computing within Python with two of its most popular packages in use for heavy data intensive analysis - Numpy and SciPy. Several engineering examples from physics, industrial engineering core courses and general engineering will be used to contextualize the programming examples. CSC 113 OR CSC 116 or ST 307 OR ST 308 OR ECE 209. Restrictive Statement: Department Approval Required Typically offered in Fall only
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- C or better in ISE 135 ISE 361 ST 370 OR ST 371 and ISE 135 OR CSC 111 OR
ISE 425/525/OR Medical Decision Making3
525
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 433/533/OR Service Systems Engineering3
533
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 435/535 Python Programming for Industrial & Systems3
3 Engineers
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 437Data Analytics for Industrial Engineering ()3
In this course undergraduate students will learn to integrate statistical and mathematical modeling tools they learned in their previous classes to be able to design, develop and implement comprehensive advanced analytics solutions to address real industry problems. All class modules will be illustrated through real applications in Media, Financial, Retail and Manufacturing industries. or CSC 116 or ST 307 or ST 308 or ECE 209) and ISE 361. Typically offered in Spring only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- (ST 370 or ST 371) and (ISE 135 or CSC 111 or CSC 113
ISE 438Practical Machine Learning for Engineering Analytics (3
credit hours) Machine learning is transforming engineering analytics by enabling predictive capabilities and insights from complex datasets. Engineers can analyze data from diverse sources to identify patterns, optimize performance, predict failures, and enhance maintenance strategies. These techniques shift traditional problem-solving approaches, supporting informed decisions and more effective solutions. This course emphasizes practical applications through lectures, case studies, assignments, and projects that mirror real-world challenges. Students will explore supervised and unsupervised learning, classification, regression, clustering, anomaly detection, neural networks, and time- series prediction. The curriculum also covers preprocessing, feature selection, model training, and evaluation. Hands-on projects will allow students to implement algorithms, apply tools, and evaluate results in realistic engineering contexts. By bridging theory with practice, the course provides a comprehensive understanding of how machine learning, AI, and deep learning can solve complex engineering problems and drive innovation in analytics and decision-making. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ISE 135 (or equivalent) and ST 372 (or equivalent)
ISE 441Introduction to Simulation ()3
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
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- MA 242, ST 372, ISE 362 and C or better in ISE 135
ISE 443Quality Design and Control ()3
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. for this course. Typically offered in Fall and Spring ISE 447/ISE 547 Applications of Data Science in Healthcare (3 credit hours) Health professional are capable of collecting massive amounts of data and look for best strategies to use this information. Healthcare analytics have the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases and improve the quality of life in general. This course will explore some of the frequently used data science methods in healthcare and examine a compilation of the most recent academic journal articles on the subject. Students are expected to have a strong background in optimization and stochastic modeling. Typically offered in Fall only Graduate Catalog 1261
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ST 372 Restriction: ST 435 cannot be used as a substitute ISE 362
ISE 447Applications of Data Science in Healthcare3
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 452Human-System Analysis & Design
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 453Modeling and Analysis of Supply Chains ()3
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
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ST 371 (C- or better), ISE 135, ISE 361, ISE 362
ISE 489Special Topics in Industrial and Systems
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 495Project Work in Industrial Engineering ()1-3
Special investigations, study or research related to the field of industrial engineering. In a given semester several students and/or student groups may be working in widely divergent areas under the direction of several members of the faculty. Typically offered in Fall and Spring
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Junior standing.
ISE 498Senior Design Project (CP)3
3 or ISE 521 or Healthcare Systems Performance
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 501Introduction to Operations Research
MA/ISE 505 Linear Programming
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 505Linear Programming
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 510Applied Engineering Economy ()3
Engineering economy analysis of alternative projects including tax and inflation aspects, sensitivity analysis, risk assessment, decision criteria Emphasis on applications. Typically offered in Fall, Spring, and Summer ISE 511/ISE 411 Supply Chain Economics and Decision Making (3 credit hours) This course introduces students to the principles of microeconomic analysis applied to decision-making in supply chains. Emphasis will be put on strategic interactions between different decision makers in the supply chain, including suppliers, manufacturers, retailers, and consumers. Topics include classical demand and production theory, pricing and revenue management, competition between firms, and cooperation between and within firms under information asymmetry. Typically offered in Fall only ISE 513/ISE 413 Humanitarian Logistics (3 credit hours) This course provides a comprehensive treatment of humanitarian logistics (HumLog) from an operations research perspective, focusing on the use of quantitative modeling for decision making and best practices disaster management. Background and overview on disaster management will be covered. The four phases of the disaster management cycle are introduced as well as the types of decisions that are made in each phase. Mathematical models are presented for typical humanitarian logistics decisions, such as inventory prepositioning, facility location, transportation, routing and capacity planning. Typically offered in Spring only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Undergrad. courses in engineering economics and ST ISE 135 ISE 361
ISE 511Supply Chain Economics and Decision Making
(ISE 411) ISE 513 Humanitarian Logistics (ISE 413)
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 513Humanitarian Logistics
ISE/TE/OR Simulation Modeling 562
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 515Manufacturing Process Engineering ()3
Manufacturing process engineering, primary, secondary, finishing and assembly processes. Traditional and non-traditional manufacturing processes, group technology, manufacturing analyses and application of economic analyses. Graduate standing in Engineering. Typically offered in Fall and Summer
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 517Fundamentals of Additive Manufacturing ()3
The course will cover Additive Manufacturing in depth as well as related topics like 3D scanning and reverse engineering. The course will be a combination of lectures and hands-on labs. The students will work on teams to completed a semester long design and 3D printing project. Typically offered in Fall only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 519Database Applications in Industrial and Systems2
Engineering (ISE 417) ISE/OR 562 Simulation Modeling (ISE 441) ISE 748 Quality Engineering (ISE 443) ISE 544 Occupational Biomechanics (ISE 452) ISE 553 Modeling and Analysis of Supply Chains (ISE 453) ISE 510 Applied Engineering Economy (ISE 311)
- Subject
- ISE
- Credits (min)
- 2
- Credits (max)
- 2
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 520Healthcare Systems Performance6
3 Improvement I Technical Elective (p. 734) 1 Hours 12
- Subject
- ISE
- Credits (min)
- 6
- Credits (max)
- 6
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 521Healthcare Systems Performance Improvement II (3
hours) Continuation of ISE 520 with a concentration on the completion of a healthcare systems process improvement project at the sponsoring health care institution. 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
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ISE 520
ISE 533Service Systems Engineering
EM/ISE 538 Practical Machine Learning for Engineering
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 535Python Programming for Industrial & Systems
15
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 536Introduction to Optimization and Machine Learning
for Systems Analytics 30
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 537Statistical Models for Systems Analytics in
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 538Practical Machine Learning for Engineering
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 540Human Factors In Systems Design
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 541Occupational Safety Engineering ()3
This course aims to equip students with a comprehensive understanding of workplace safety, emphasizing the importance of creating a safe and healthy environment for all workers. It covers the fundamentals of occupational safety, including safety regulations and control methods, and provides a working knowledge of the occupational safety and health standards. Through case studies, classroom interaction, and real-world examples, students will develop problem-solving skills essential for identifying and eliminating potential hazards during the design and engineering phases of new products or facilities. Additionally, the course introduces various online resources to help address safety issues in the workplace. Typically offered in Spring only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 543Musculoskeletal Mechanics ()3
Anatomy, physiology and biomechanics of musculoskeletal system including muscle bone, tendon, ligament, cartilage, nerve. Modeling of tissue and joints with special emphasis on spine and upper extremity. Physical, mathematical, optimization and finite element modeling techniques as applied in biomechanics research.
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- BIO 125 or BAE(BIO) 235 or Graduate standing
ISE 544Occupational Biomechanics ()3
Anatomical, physiological, and biomechanical bases of physical ergonomics. Strength of biomaterials, human motor capabilities, body mechanics, kinematics and anthropometry. Use of bioinstrumentation, active and passive industrial surveillance techniques and the NIOSH lifting guide. Acute injury and cumulative trauma disorders. Static and dynamic biomechanical modeling. Emphasis on low back, shoulder and hand/wrist biomechanics. Typically offered in Fall only ISE 546/CSC 546 Management Decision and Control Systems (3 credit hours) Planning, design, and development and implementation of comprehensive computer-based information systems to support management decisions. Formal information systems principles; information requirements analysis; knowledge acquisition techniques; information modeling. Information resource management for quality operational control and decision support; system evaluation, process improvement and cost effectiveness. Typically offered in Fall only ISE 547/ISE 447 Applications of Data Science in Healthcare (3 credit hours) Health professional are capable of collecting massive amounts of data and look for best strategies to use this information. Healthcare analytics have the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases and improve the quality of life in general. This course will explore some of the frequently used data science methods in healthcare and examine a compilation of the most recent academic journal articles on the subject. Students are expected to have a strong background in optimization and stochastic modeling. Typically offered in Fall only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Graduate standing CSC 423 or BUS 541 ISE 362
ISE 545Digital Manufacturing
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 546Management Decision and Control Systems3
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 547Applications of Data Science in Healthcare
ISE/OR 501 Introduction to Operations Research
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 552Design and Control of Production and Service Systems (3
credit hours) Basic terminology and techniques for the control of production and service systems including economic order quantity models; stochastic inventory models; material requirements planning; Theory of Constraints; single and mixed model assembly lines ; and lean manufacturing. Emphasis on mathematical models of the interaction between limited capacity and stochastic variability through the use of queueing models to describe system behavior. e Typically offered in Fall only
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ST 371 or ST 372
ISE 553Modeling and Analysis of Supply Chains ()3
Basic issues in operating supply chains, using state of the art modeling tools available for their analysis. Emphasis on using engineering models to develop insights into the behavior of these systems. Typically offered in Spring only This course is offered alternate even years
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ISE 361 and ST 372
ISE 554Introduction to Product Development ()3
New product development is a critical process that crosses multiple functional areas in a firm. In today's globally competitive business environment, new product development is not a strategic option - it is a fundamental prerequisite for a company's survival, organizational renewal, and economic prosperity. Innovative design and new product development is not the domain of any one function, but a multidisciplinary process that requires coordination, communication, and integration. This course accomplishes design-business-engineering collaboration by creating cross-disciplinary teams whereby students learn and apply the necessary skills to design, develop and prototype an innovative product solution that meets market needs. Typically offered in Fall only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 555Digital Manufacturing ()3
This course aims to introduce students on the power of digital manufacturing and design technologies, particularly how product data can seamlessly transfer through the entire lifecycle of a manufactured product. Students will also be introduced to methods to design and build plugin apps that interface with the design models. All hands-on modeling and virtual manufacturing exercises will be in Autodesk Fusion 360, a cloud based design and manufacturing software. R: ISE 316 or Graduate Standing Typically offered in Fall only ISE 560/OR 560 Stochastic Models in Industrial Engineering (3 credit hours) ISE/OR 560 will introduce mathematical modeling, analysis, and solution s procedures applicable to uncertain (stochastic) production and service systems. Methodologies covered include probability theory and stochastic processes including discrete and continuous Markov processes. Applications relate to design and analysis of problems, capacity planning, inventory control, waiting lines, and service systems. Typically offered in Fall only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 560Stochastic Models in Industrial Engineering12
ISE/OR 562 Simulation Modeling Select one course from the following: 3 Group F: Computer Science, Mathematics, and Statistics Other graduate level CSC, Math, or Statistics courses may be 12 substituted with approval ith the CSC 513 Electronic Commerce Technology
- Subject
- ISE
- Credits (min)
- 12
- Credits (max)
- 12
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 562(master-level simulation class)
Students should have completed a course on stochastic models (similar to ISE 560 or ISE 760) and have a working knowledge of a programming language (e.g., Python, Matlab, R, or others). Typically offered in Fall and Spring
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 589Special Topics In Industrial Engineering ()1-6
Special developments in some phase of industrial engineering using traditional course format. Identification of various specific topics and prerequisites for each section from term to term.
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 6
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 601Seminar ()1
Seminar discussion of industrial engineering problems for graduate students. Case analyses and reports. Typically offered in Fall and Spring
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 610Special Topics in Industrial Engineering ()3-6
Special developments in some phase of industrial engineering using traditional course format. Identification of various specific topics and prerequisites for each section from term to term.
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 6
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 637Directed Study in Industrial Engineering ()1-3
Independent study providing opportunity for individual students to explore topics of special interest under direction of a member of faculty. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 639Advanced Directed Study in Industrial Engineering (1-3
credit hours) Independent study providing an opportunity for individual graduate students to explore advanced topics of special interest under the direction of a member of the faculty. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 677Industrial Engineering Projects ()1-6
Investigation and written report on assigned problems germane to industrial engineering. Maximum of six credits to be earned for MIE degree. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 6
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- MIE candidates
ISE 685Master's Supervised Teaching ()1-3
Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Master's student
ISE 688Non-Thesis Masters Continuous Registration - Half Time
Registration (1 credit hours) For students in non-thesis master's programs who have completed all credit hour requirements for their degree but need to maintain half-time continuous registration to complete incomplete grades, projects, final master's exam, etc. Typically offered in Fall, Spring, and Summer Industrial and Systems Engineering (ISE) 7
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Master's student
ISE 689Non-Thesis Master Continuous Registration - Full Time
Registration (3 credit hours) For students in non-thesis master's programs who have completed all credit hour requirements for their degree but need to maintain full-time continuous registration to complete incomplete grades, projects, final master's exam, etc. Students may register for this course a maximum of one semester. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Master's student
ISE 693Master's Supervised Research ()1-9
Instruction in research and research under the mentorship of a member of the Graduate Faculty. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 9
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Master's student
ISE 695Master's Thesis Research ()1-9
Thesis research. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 9
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 696Summer Thesis Research ()1
For graduate students whose programs of work specify no formal course work during a summer session and who will be devoting full time to thesis research. Typically offered in Summer only
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Master's student
ISE 699Master's Thesis Preparation ()1-9
For student who have completed all credit hour requirements and full-time enrollment for the master's degree and are writing and defending their theses. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 9
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Master's student
ISE 707Real-Time Control of Automated Manufacturing (3
hours) Concepts and application of real-time control of automated manufacturing systems. Development of prototype manufacturing control applications involving introductions to following topics: computer architecture; real-time, multi-tasking operating systems; data modeling; multi- processing systems; local area networks; inter-task communication; and development of multi-tasking control systems. Design development of control system. Typically offered in Fall only This course is offered alternate years ISE 708/MA 708/OR 708 Integer Programming (3 credit hours) General integer programming problems and principal methods of solving them. Emphasis on intuitive presentation of ideas underlying various algorithms rather than detailed description of computer codes. Students have some "hands on" computing experience that should enable them to adapt ideas presented in course to integer programming problems they may encounter. computers (e.g., CSC 112) Typically offered in Spring only This course is offered alternate years
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- MA 405, OR (MA,IE) 505, Corequisite: Some familiarity with
ISE 708Integer Programming3
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 709Dynamic Programming3
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 711Capital Investment Economic Analysis ()3
Analysis of economic merits of alternatives including interest and income tax considerations. Risk and sensitivity exploration techniques. Introduction to analytical techniques for multiple objectives or criteria. U of mathematical programming andcomputers for capital budgeting. Typically offered in Fall only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ISE 311 and ST 371
ISE 712Bayesian Decision Analysis For Engineers and
Managers (3 credit hours) The Bayesian approach to decision making, with numerous applications in engineering and business. Expected value maximization, decision trees, Bayes' theorem, value of information, sequential procedures and optimal strategies. Axiomatic utility theory and controversies, utility of money, theoretical and empirical determination of utility functions and relationship to mean-variance analysis. Brief introduction to multi-attribu problems, time streams and group decisions. Typically offered in Spring only
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ST 371 or ST 421
ISE 714Product Manufacturing Engineering for the Medical Device
Industry (3 credit hours) Product development course targeted toward the medical device industry. Product design and development, concept generation and selection, parametric feature-based CAD, design for manufacturability (DFM) and assembly (DFA), tolerancing, rapid prototyping, tool design, tool fabrication, and medical device fabrication. Typically offered in Spring only
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ISE 515
ISE 715Manufacturing Process Engineering ()3
Manufacturing process engineering, primary,secondary, finishing and assembly processes. concurrent engineering, process planning, group technology, manufacturing analyses and application of economic analyses. Typically offered in Spring only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 716Automated Systems Engineering ()3
General principles of operation and programming of automated systems. Automated assembly, automated manufacturing, and inspection systems. Control of automated manufacturing. Industrial logic systems and programmable logic controllers. Computer numerical control, industrial robotics, and computer integrated manufacturing. Typically offered in Fall and Spring
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 718Micro/Nano-Scale Fabrication and Manufacturing (3
hours) Introduction to physical theory, process design, analysis, and characterization of micro/nano scale fabrication and manufacturing. The main focus of the course is on the fabrication/manufacturing of important types of microstructures used in micro/nano devices and the techniques and tools used to fabricate and characterize them. Typically offered in Spring only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ISE 316 or graduate standing in the college of engineering
ISE 723Production Planning, Scheduling and Inventory Control (3
credit hours) An analysis of Production-Inventory systems. Modeling and Analysis of single and multi-product inventory systems for single and multi- period environments under deterministic and stochastic assumptions. Development of optimal and heuristics scheduling models for single and multi-resource systems under deterministic and stochastic assumptions. probability & statistics course similar to ST 515 se Typically offered in Spring only
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Introduction to optimization, similar to OR 501 and a basic
ISE 725Foundations of Smart Manufacturing ()3
The course introduces the concepts and applications of smart manufacturing systems that begin from the machine asset on the factory floor to the higher order information technology systems. Development of prototype smart manufacturing applications involving introduction to topics such as: real-time streaming machine sensor data through machine to machine (m2m) industrial communication protocols; unified namespaces for factory integration of information and operational technology; data modeling and data store architectures specifically for time series analysis and machine vision theory and applications critical to e quality inspections at the factory floor. Typically offered in Spring only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 726Theory of Activity Networks ()3
Introduction to graph theory and network theory. In-depth discussion of theory underlying (1) deterministic activity networks (CPM): optimal time-cost trade offs; the problem of scarce resources; (2) probabilistic activity networks (PERT): critical evaluation of underlying assumptions; (3) generalized activity networks (GERT, GAN): applications of signal flow graphs and semi-Markov process to probabilistic branching; relation to the theory of scheduling. Typically offered in Spring only This course is offered alternate years
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- OR 501, OR(IE,MA) 505
ISE 731Multi-Attribute Decision Analysis ()3
Specification of attributes/criteria/objectives for complex decisions. Determination of alternatives, attribute weights and decision-making process. Graphical and weighted evaluation techniques. Multi-attribute utility, multi-objective/goal programming and analytic hierarchy process methodologies. Computer applications and case studies. Typically offered in Spring only ISE 740/PSY 740 Engineering Psychology of Human-computer Interaction (3 credit hours) Exploration of usability of computer technology. Theory and practice of user-centered design for HCI applications. Course focuses on current usability paradigms and principles, psychology of users, iterative and participatory design processes, system requirements specification, prototyping, user support systems, usability evaluation and engineering, interface design guidelines and standards. Application domains include, universal design, virtual reality, and scientific data visualization.
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- IE(PSY) 540 or CSC 554
ISE 741Systems Safety Engineering ()3
Systems safety engineering. Course familiarizes students with techniques for identifying and recognizing potential safety hazards and the concept of risk assessment. Preliminary Hazard Analysis, Failure Modes and Effects Analysis, System and Subsystem Hazard Analysis, Fault Tree Analysis, Process Safety Management (29CFR1910.119) are explored together with applications to hazard analysis and control. Industrial situations and case studies are employed to illustrate usefulness of various system safety techniques. Typically offered in Fall only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 742Environmental Stress, Physiology and Performance (3
credit hours) Human skilled performance as affected by environmental stressors, including noise, vibration, heat, cold, accelerator, pressure altitude, toxic agents and illumination. Physiological effects of stressors and their relationship to health, performanceand, ultimately, to safety. Impact biomechanics and crash survival. Human survival in adverse environments. Combined stressor effects, physiological arousal, fatigue and performance decrement. Typically offered in Spring only This course is offered alternate years ISE 743/PSY 743 Ergonomic Performance Assessment (3 credit hours) Fundamentals of ergonomic performance measurement used to assess the effects of environment and system design on human performance. Treatment of topics such as workload measurement, measurement of complex performance, simulator studies, measurement of change, task taxonomies, criterion task sets and statistical methods of task analysis. Problems of laboratory and field research, measurement of change and generalizability of findings. Typically offered in Fall only This course is offered alternate years
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- PSY 200, ST 507 and 508
ISE 744Human Information Processing ()3
Fundamentals of human information processing basic to skilled operator performance and the design of displays, controls and complex systems. Treatment of topics such as channel capacity, working memory, long- term memory, decision making, attention and process monitoring. Problems of display and control design and evaluation, evaluation of textual material, and human-computer interaction. Typically offered in Spring only This course is offered alternate years ISE 745/PSY 745 Human Performance Modeling (3 credit hours) Advanced aspects of human performance research. Qualitative models of human information processing. Characteristics and role of memory in decision making and response execution. Sensory channel parameters, attention allocation, time-sharing of tasks. Situation awareness and workload responses in complext tasks. Limitations of human factors experimentation. Factors in human multiple task performance. Cognitive task analysis and computational cognitave modeling/simulation of user behavior in specific applications. (PSY) 744 Industrial and Systems Engineering (ISE) 9 ISE 747/OR 747 Reliability Engineering (3 credit hours) Introduction to basic concepts of reliability engineering. Application of probability and statistics to estimate reliability of industrial systems; development of reliability measures; analysis of static and dynamic reliability models; development and analysis of fault trees; analysis of Markovian and non-Markovian models; and optimization of reliability models. Typically offered in Fall only This course is offered alternate years
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- PSY 200, ST 507 and 508 ST 507 or 515 or equivalent; IE (PSY) 540, CSC 554 or IE ST 511
ISE 745Human Performance Modeling
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 748Quality Engineering ()3
Introduction to basic concepts of quality engineering. Statistical process control (SPC) methods, acceptance sampling techniques, concept of parameter design and statistical as well as analytical techniques for its implementation, tolerance analysisand design, components of cost of poor quality and an introduction to quality management. statistics (similar to ST 371 and ST 372 or ST 515), and fluency in a computer programming language or spreadsheet. Typically offered in Spring only This course is offered alternate years
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- an undergraduate or graduate course in probability and
ISE 754Logistics Engineering ()3
Elements of logistics networks. Supply chain design: facility location and allocation; great-circle distances; geocoding. Multi-echelon production and inventory systems; sourcing decision systems. Vehicle routing: exact, approximation, and heuristic procedures; traveling salesman problem; basic vehicle routing problem and extensions; backhauling; mixed-mode transportation system design. Typically offered in Spring only ISE 760/OR 760 Applied Stochastic Models in Industrial Engineering (3 credit hours) Formulation and analysis of stochastic models with particular emphasis on applications in industrial engineering; univariate, multivariate and conditional probability distributions; unconditional and conditional expectations; elements of stochastic processes; moment-generating functions; concepts of stochastic convergence; limit theorems; homogeneous, nonhomogeneous and compound Poisson processes; basic renewal theory; transient and steady-state properties of Markov processes in discrete and continuous time. Typically offered in Spring only ISE 761/OR 761 Queues and Stochastic Service Systems (3 credit hours) Introduction of general concepts of stochastic processes. Poisson processes, Markov processes and renewal theory. Usage of these in analysis of queues, from with a completely memoryless queue to one with general parameters. Applications to many engineering problems. Typically offered in Spring only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ISE 453 MA 303, ST 371
ISE 760Applied Stochastic Models in Industrial
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 761Queues and Stochastic Service Systems
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 762Stochastic Simulation12
- Subject
- ISE
- Credits (min)
- 12
- Credits (max)
- 12
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 766Network Flows
-
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027-graduate
- Source
- catalog.ncsu.edu
ISE 767Upper Extremity Biomechanics ()3
Gross and functional anatomy of upper extremity; properties of tendons and synovial fluid; epidemiology; disorders of shoulder, elbow, wrist, hands, fingers; biomechanical modeling; personal factors affecting cumulative trauma disorder (CTD) risk, diagnosis and treatment of upper extremity CTDs; wrist splints; workplace ergonomics to alleviate upper extremity CTDs. Typically offered in Fall only This course is offered alternate odd years
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 768Spine Biomechanics ()3
Gross and fine anatomy of spine, mechanism of pain, epidemiology, in vitro testing, psychophysical studies, spine stability models, bioinstrumentation: intradiscal pressure, intra-abdominal pressure and electromyography. Biomechanics of lifting and twisting, effects of vibration, effects of posture/lifting style, lifting belts, physical models, optimization models, mathematical models, muscle models, finite element models, current trends in medical management and rehabilitation, chiropractic. Typically offered in Fall only This course is offered alternate even years ISE 772/OR 772 Simulation Optimization (3 credit hours) This course is methodologically focused and a continuation of ISE 762 in Monte Carlo methods. The topics include, but are not limited to, Quasi-Monte Carlo, importance sampling and other advanced variance reduction approaches, derivative estimation, and simulation optimization in continuous and finite spaces. While the application of these techniques to actual simulations is practiced as assignments, the discussion on simulation software and programming will be minimal. A current topic research presentation/paper required. intermediate level familiarity with probability, statistics, and stochastic processes; comfortable coding knowledge with R/Matlab/Python to write small computer programs. Typically offered in Spring only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- ISE/OR 762. Level knowledge of stochastic simulations;
ISE 772Simulation Optimization
18
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 789Advanced Special Topics In Industrial Engineering (3-6
credit hours) Advanced topics in some phase of industrial engineering using traditional course format. Identification of various specific topics and prerequisites for each section from term to term. Typically offered in Fall and Spring
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 790Advanced Special Topics System Optimization (1-6
hours) Advanced topics in some phase of system optimization using traditional course format. Identification of various specific topics and prerequisites for each section from term to term. Typically offered in Fall and Spring
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 6
- Credit unit
- credit
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 794Advanced Problems in Ergonomics ()3
Exploration in depth of a problem area of contemporary interest involving man-machine-environment interface. Class discussion and analysis of research and theory, with special focus on human factors aspects of systems design and operation. Typically offered in Fall only
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 796Research Practicum in Human-Systems Engineering (3
credit hours) Human-systems engineering research topic development, literature evaluation, experimental design, use of research instrumentation, data collection, basic data interpretation, statistical analysis, manuscript preparation. Typically offered in Spring only
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 801Seminar ()1
Seminar discussion of industrial engineering problems for graduate students. Case analyses and reports. Typically offered in Fall and Spring
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 837Directed Study in Industrial Engineering ()1-3
Independent study providing opportunity for individual students to explore topics of special interest under direction of a member of faculty. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 839Advanced Directed Study in Industrial Engineering (1-3
credit hours) Independent study providing an opportunity for individual graduate students to explore advanced topics of special interest under the direction of a member of the faculty. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 841Advanced Manufacturing Laboratory ()1
In this 8-week laboratory course students will be introduced to many lab equipment and manufacturing processes. Students will learn the interaction of design, materials, and processing in a hands-on lab environment. Emphasis is placed on metrology techniques, FDM 3D printing, Robotics, CAD/CAM, and CNC machines. Typically offered in Fall only
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 861The Design of Production Systems ()3
The structure and operation of production planning, scheduling and control systems; emphasis on system structure, capacity planning, master production scheduling, shop loading and supply chain; investigation of current trends. Typically offered in Fall only This course is offered alternate years
- Subject
- ISE
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 877Industrial Engineering Projects ()1-6
Investigation and written report on assigned problems germane to industrial engineering. Maximum of six credits to be earned for MIE degree. Typically offered in Fall, Spring, and Summer Industrial and Systems Engineering (ISE) 11
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 6
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- MIE candidates
ISE 885Doctoral Supervised Teaching ()1-3
Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 3
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Doctoral student
ISE 890Doctoral Preliminary Examination ()1-9
For students who are preparing for and taking written and/or oral d preliminary exams. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 9
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Doctoral student
ISE 893Doctoral Supervised Research ()1-9
Instruction in research and research under the mentorship of a member of the Graduate Faculty. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 9
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Doctoral student
ISE 895Doctoral Dissertation Research ()1-9
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 9
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
ISE 896Summer Dissertation Research ()1
For graduate students whose programs of work specify no formal course work during a summer session and who will be devoting full time to thesis research. Typically offered in Summer only
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Doctoral student
ISE 899Doctoral Dissertation Preparation ()1-9
For students who have completed all credit hour requirements, full-time enrollment, preliminary examination, and residency requirements for the doctoral degree, and are writing and defending their dissertations. Typically offered in Fall, Spring, and Summer
- Subject
- ISE
- Credits (min)
- 1
- Credits (max)
- 9
- Credit unit
- credit hours
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.ncsu.edu
- Prerequisite
- Doctoral student
Source: North Carolina State University at Raleigh's catalog, linked per course · table learning_unit · CourseShelf publish 61