ISE head

The following courses are offered by Engineering Online, the Distance Education Division of NC State's College of Engineering. The SEMESTER notation indicates past and tentative future scheduling.

ISE 501   Introduction to Operations Research (also offered as OR 501) Fall, Spring
OR Approach: modeling, constraints, objective and criterion. Problems of multiple criteria, optimization, model validation and systems design. OR Methodology: mathematical programming; activity networks; dynamic programming; Markov processes; queuing theory. Examples: OR Applications: production planning and scheduling; service systems; health care delivery; Waiting line problems: single and multiple servers with Poisson input and output. Project management through PERT-CPM. 3 credit hours

ISE 505   Linear Programming (also offered as OR 505) Fall
Introduction including: applications to economics and engineering; geometric interpretations; optimality conditions; simplex method; interior-point methods; sensitivity and post-optimality analysis; dual problem and duality theory; polyhedral sets and cones, including their convexity and separation properties and dual representations; robust linear optimization. 3 credit hours

ISE 510   Applied Engineering Economy Spring
Introduction including: applications to economics and engineering; geometric interpretations; optimality conditions; simplex method; interior-point methods; sensitivity and post-optimality analysis; dual problem and duality theory; polyhedral sets and cones, including their convexity and separation properties and dual representations; robust linear optimization. 3 credit hours

ISE 515   Manufacturing Process Engineerig Fall
Manufacturing process engineering covers the behavior of materials and the processes used to convert raw materials into finished products. The course emphasizes process selection and sequencing, economics, quality and design for manufacture.  3 credit hours

ISE 540   Human Factors in Systems Design (also offered as PSY 540) Spring
Basic concepts of human factors and their application to design of human-machine systems. Consideration of human cognitive and physical capabilities and limitations in design for performance, safety and comfort. Systems development cycle; human-machine function allocation; task and skill analysis; systems evaluation. Design of display and control systems, and complex human-machine interfaces. 3 credit hours

ISE 541   Occupational Safety Engineering Spring
Safety history and litigation; accident causation; safety organizations and agencies. Approaches to occupational safety and risk management. Product defects and safety program development; product liability; safety in the legal arena; consumer product safety commission. Hazard communication standard. Workers’ compensation. OSHA and OSHact; safety standards and codes; OSHA record keeping. Workplace stress and safety; Thermal stress; electrical hazards; industrial noise and vibration hazards; fall hazards and protection; fire protection; emergency planning; ionizing radiation. 3 credit hours

ISE 544   Occupational Biomechanics Fall
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. 3 credit hours

ISE 552   Design and Control of Production and Service Systems Fall
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. 3 credit hours

ISE 553   Modeling and Analysis of Supply Chains Spring
Basic definitions and concepts of supply chains; models of production resources, focused on lead times, work in process inventories and throughput; role of inventories in the supply chan; management of inventories; planning and coordination in the supply chain. 3 credit hours

ISE 589   Project Management for Engineers Summer
This course covers a wide variety of project management topics specifically geared towards engineers.  Discussion of subject areas that impact the success of projects such as organizational structure and risk assessment.  Scheduling, planning, cost control, and pricing among many other topics will be covered.  3 credit hours

ISE 589   Simulation Modeling with SIMO Spring
This course concentrates on construction and use of discrete-event simulation models using the SIMIO software. The course will develop methods for modeling and analyzing problems employing visualization through 3D animation and other graphical displays, the application of object-based simulation to create models, and the use of object-oriented concepts to extend models and enhance re-usability. 3 credit hours

ISE 589   Smart Manufacturing Spring
This course is first in a series of Smart Manufacturing based courses which 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. All hands-on modeling and virtual manufacturing will be in Autodesk Fusion 360 and PTC ThingWorx, an example of a cloud based design and manufacturing software for the Industrial Internet of Things. Students will be introduced to the basics of building your own simple Apps to interact with 3D models and manufacturing applications. Students will be introduced to how machines communicate manufacturing data from its control systems to machines around the shop floor factory or to enterprise level servers. 3 credit hours

ISE 589   Stochastic Models in Industrial Engineering (also offered as OR 589) Fall
This course will introduce mathematical modeling, analysis, and solution 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 system reliability and maintainability. This course will be taught at the Masters’ level. 3 credit hours

ISE 707   Real-Time Control of Automated Manufacturing Fall
Concepts and application of real-time control of automated manufacturing systems. Discussion of manufacturing automation and control applications involving introductions to following topics: application architecture; real-time, multi-tasking operating systems; systems modeling; industrial control and systems integration; industrial networks; inter-task communication; and development of multi-tasking control systems. 3 credit hours

ISE 712   Bayesian Decision Analysis for Engineers and Managers Spring
The Bayesian approach to decision making, with numerous applications in engineering and business. Expected value maximization, decision trees, Bayes' theorem, value of information, sequential bprocedures, Bayesian networks 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-attribute problems, time streams and group decisions. 3 credit hours

ISE 716   Automated Systems Engineering Fall
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. 3 credit hours

ISE 718   Micro/Nano-Scale Fabrication and Manufacturing Spring
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. 3 credit hours

ISE 723   Production Planning, Scheduling and Inventory Control Spring, Fall
An analysis of Production-Inventory systems. Discussion of commonly used planning and scheduling techniques. Introduction to use of math modeling for solution of planning and scheduling problems. Interface with quality control and information systems. 3 credit hours

ISE 741   Systems Safety Engineering Fall
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. 3 credit hours

ISE 747   Reliability Engineering Spring
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. 3 credit hours

ISE 748   Quality Engineering Spring
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 analysis and design, components of cost of poor quality and an introduction to quality management. 3 credit hours

ISE 754   Logistics Engineering Spring
Elements of logistics networks. Supply chain design: facility location and allocation; great-circle distances; geocoding. Freight transport; LTL tariffs; total logistics cost; road networks. Production and distribution planning: multi-echelon, multi-period, multi-product production and inventory models. Vehicle routing: heuristic procedures; traveling salesman problem; multistop truckloads; routing problem with time windows. Warehousing: basic operations; activity profiling; order picking systems. 3 credit hours