ISE Undergrad Areas of Study | NC State ISE
ISE Undergrad Areas of Study
ISE Elective Focus Areas
Advanced Manufacturing Human-Systems System Analytics and OptimizationAdvanced Manufacturing Electives Focus Area
This lecture-based course introduces students to the quality systems used to meet the regulatory requirements for developing, testing, manufacturing, and selling medical products in the global marketplace. It provides a general background for those going into the medical products field, but is especially useful to students preparing for a career in the Regulatory Affairs or Quality Assurance Department within a pharmaceutical, biomanufacturing, or medical device company. BEC 575 students must have graduate standing.
- Hours: 3
Prerequisites
- Senior standing
Fundamental concepts of Nano-Science and Technology including scaling, nano-scale physics, materials, mechanics, electronics, heat transfer, photonics, fluidics and biology. Applications of nano-technology.
- Hours: 3
Prerequisites
- MA 242 and PY 208 with a grade of C- or higher
- Integration of design and manufacturing through computer-aided/automated process planning, concurrent engineering, and rapid prototyping. Fixed and programmable automation in mfg. and service. Autonomous mfg. systems such as computer numerical control (CNC), industrial robotics, automated inspection, electronics manufacturing and assembly.
- Hours: 3
Prerequisites
- ISE 316: Manufacturing Engineering I – Processes
- Offered as needed to present new or special MAE subject matter.
- Hours: 1 – 3
- Introduction to nanoparticles, nanotubes, nanowires, and nanostructured films, emphasizing their synthesis, structural and property characterization, novel physical and chemical properties, applications and contemporary literature.
- Hours: 3
Prerequisites
- MSE 201 Structure and Properties of Engineering Materials
- Overview of the various aspects of conducting and interpreting an environmental life cycle analysis on a product or service. Students will learn how to construct a life cycle analysis goal and scope, inventory, assessment and interpretation. Skills in the critique and communication of a life cycle analysis will be developed. Includes an overview of the following life cycle stages: raw materials, energy, transportation, production, use, and end of life. Emphasis on systems thinking. Targeted for students in any science or engineering program. Credit not allowed for both PSE 476 and WPS 576. Also listed as FB 576.
- Hours: 3
- Engineering analysis of textile structures, especially yarns. Unit processes of production, handling and packaging. Production sequences, intermachine effects, machine design and their consequences on the textile product.
- Hours: 3
Prerequisites
- MA 242 Calculus III
- MAE 206 Engineering Statics or CE 214 Engineering Mechanics-Statics
- Mechanisms used in the production of woven, knitted and nonwoven fabrics. Design and operation of these mechanisms and their impact on the fabric. System dynamics of the different fabric forming processes.
- Hours: 4
Prerequisites
- TE 301 and C- or better in TE 110 or ISE 135
- Fiber architecture of textiles used for composites. Manufacturing processes and geometric quantification. Basic analysis for predicting elastic properties. Interrelationship of elastic properties and geometric quantities. Failure criteria for these materials.
- Hours: 3
Prerequisites
- MA 341 Applied Differential Equations
- MAE 206 Engineering Statics
Note: Focus area courses are not generally sequenced. You can take any set of approved electives within the focus area from the permanent list or the current semester list as long as you meet the prerequisite(s)
Human-Systems Electives Focus Area
Introduction to the spectrum of human physical and cognitive capabilities as they relate to user interaction with designed products and environments. Industrial Design Majors and Department approved Elective for all other College of Design Majors with Junior or Graduate standing in Major.
- Hours: 3
Prerequisites
- Junior standing or above
Advanced concepts in human-machine systems design. Consideration of anatomical and physiological bases for the design of work systems. Advanced biomechanical analysis and modeling for manual material handling design. Physiological and psychological capabilities and limitations as related to work systems design and human performance. Coverage of human information processing and performance theories and models, including pipeline, signal detection theory, information theory, and motor control theory. Additional topics include human factors experimentation and neuroergonomics [brain and behavior].
- Hours: 3
Prerequisites
- CE 214 Engineering Mechanics-Statics
- ISE 352 Fundamentals of Human-Machine Systems Design
- Introduction to problems of the systems development cycle, including human-machine function allocation, military specifications, display-control compatibility, the personnel sub-system concept and maintainability design. Detailed treatment is given to people as information processing mechanisms.
- Hours: 3
Corequisites
- ST 507 Statistics For The Behavioral Sciences I or ST 515 Experimental Statistics for Engineers I
Prerequisites
- IE 452 Advanced Human-Machine Systems Design or PSY 340 Ergonomics
- Occupational accident-injury study; morbidity, mortality; investigation and analysis. Hazard control; energy countermeasure strategies; control technology. Impact biomechanics, trauma and survivability. Risk assessment; systems safety analysis. Product design, manufacturing defects, system failures and human error as causative factors. Safety program development. Near-accident reporting. OSHA compliance; standards. Accident, trauma and forensic case studies from manufacturing, motor carrier and construction industries.
- Hours: 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.
- Hours: 3
Prerequisites
- Graduate standing
- Concepts from ergonomics, environmental psychology, and cognitive psychology related through design examples to problems of everyday living. Criteria of efficiency, comfort and safety evaluated relative to the design of activity, products, and the environment. Topics include visual and auditory perception, information processing, physical activity, noise and lighting, workspace design, workload, and product design.
- Hours: 3
Prerequisites
- PSY 200 Introduction to Psychology
- Anatomy and physiology of the major sensory systems, their relationship to central structures of the brain, important and/or common pathological conditions. Basic issues and techniques of psychophysics. Perceptual phenomena and theory, with an emphasis on topics in two-and three- dimensional spatial perception, including the perceptions of size, depth and motion. Consideration of perceptual phenomena in practical settings.
- Hours: 3
Prerequisites
- PSY 200 Introduction to Psychology
- Junior standing or above
- Introduction to research and theory in cognition, including such topics as memory, acquisition and use of language, reading, problem-solving, reasoning, and concepts
- Hours: 3
Prerequisites
- PSY 200 Introduction to Psychology
- Junior standing
- Introduction to probability models and statistics with emphasis on Monte Carlo simulation and graphical display of data on computer laboratory workstations. Statistical methods include point and interval estimation of population parameters and curve and surface fitting [regression analysis]. Credit not allowed for both ST 380 and ST 361 or ST 370
- Hours: 3
Prerequisites
- MA 241 Calculus II
Note: Focus area courses are not generally sequenced. You can take any set of approved electives within the focus area, from the permanent list or the current semester list as long as you meet the prerequisite(s)
System Analytics and Optimization Electives Focus Area
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.
- Hours: 3
Prerequisites
- C or better in ISE 135
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.
- Hours: 3
Prerequisites
- ST 371 Introduction to Probability and Distribution Theory or ST 372 Introduction to Statistical Inference and Regression
- 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.
- Hours: 3
Prerequisites
- ISE 361 Deterministic Models in Industrial Engineering or ST 372 Introduction to Statistical Inference and Regression
- Regression analysis as a flexible statistical problem-solving methodology. Matrix review; variable selection; prediction; multicollinearity; model diagnostics; dummy variables; logistic and non-linear regression. Emphasizes the use of computers.
- Hours: 3
Prerequisites
- ST 305 Statistical Methods or ST 312 Introduction to Statistics II or ST 372 Introduction to Statistical Inference and Regression
- ST 307 Introduction to Statistical Programming- SAS
- MA 303 Linear Analysis or MA 305 Introductory Linear Algebra and Matrices or MA 405 Introduction to Linear Algebra
- Experimental design as a method for organizing analysis procedures. Completely randomized, randomized block, factorial, nested, latin squares, split-plot and incomplete block designs. Response surface and covariance adjustment procedures. Stresses the use of computers.
- Hours: 3
Prerequisites
- ST 305 Statistical Methods or ST 312 Introduction to Statistics II or ST 372 Introduction to Statistical Inference and Regression
- ST 307 Introduction to Statistical Programming- SAS
- Design principles pertaining to the planning and execution of a sample survey. Simple random, stratified random, systematic and one- and two-stage cluster sampling designs. Emphasis on statistical considerations in the analysis of sample survey data. Class project on design and execution of an actual sample survey.
- Hours: 3
Prerequisites
- ST 305 Statistical Methods or ST 312 Introduction to Statistics II or ST 372 Introduction to Statistical Inference and Regression
- ST 307 Introduction to Statistical Programming- SAS
Note: Focus area courses are not generally sequenced. You can take any set of approved electives within the focus area, from the permanent list or the current semester list as long as you meet the prerequisite(s)