Industrial and Systems Engineering (ISE)

Program Overview

Industrial and Systems Engineering (ISE)

Course Fees

Some courses may carry fees beyond the standard tuition costs to cover additional support or materials. Program-, subject- and course-specific fee information can be found on the Office of the Bursar website.

Course Offerings

• ISE 516. Stochastic Operations Research (3 Units)
  • Term Typically Offered: Spring Only
  • Prerequisite(s): ISE 360 or equivalent
  • Description: A selection of the probabilistic topics of operations research are included: queuing, renewal and Markov processes, simulation, decision analysis.
• ISE 525. Project Management (3 Units)
  • Term Typically Offered: Fall, Spring, Summer
  • Prerequisite(s): Admission in ISE or EM program or instructor permission
  • Description: Use of CPM, PERT, precedence diagramming, resource allocation heuristics, and other techniques for planning, managing, and controlling engineering projects involving research and development, production, maintenance, and construction. Computer procedures and codes for analyzing complex project networks will be covered.
• ISE 540. Robots and Manufacturing Automation (3 Units)
  • Term Typically Offered: Fall, Spring, Summer
  • Prerequisite(s): ISE 360
  • Description: Computer aided manufacturing; robot programming, implementation, application, and computer control; research trends; social impacts.
• ISE 560. Probability and Statistics for Engineers (3 Units)
  • Term Typically Offered: Fall, Spring, Summer
  • Prerequisite(s): ENGR 102 OR (Calculus I AND graduate status)
  • Description: Engineering applications using probability, random variables, distribution functions, confidence intervals, estimation and hypothesis testing.
• ISE 561. Decision Support Systems (3 Units)
  • Term Typically Offered: Spring Only
  • Prerequisite(s): Graduate Standing in the JB Speed School of Engineering
  • Description: This course introduces students to optimization problems, algorithm design, and problem-solving techniques. The course focuses on developing pseudocode and practical algorithmic solutions for real-world decision problems, such as traveling salesman, bin packing, and knapsack problems.
• ISE 590. Special Topics in Industrial Engineering (1-6 Units)
  • Term Typically Offered: Fall, Spring, Summer
  • Description: A theoretical and/or experimental investigation of an industrial engineering design topic.
• ISE 600. Additive Manufacturing Processes (3 Units)
  • Term Typically Offered: Fall Only
  • Prerequisite(s): Prior knowledge in manufacturing process is required
  • Description: Graduate standing in the JB Speed School of Engineering. This course is designed to provide an overview to additive manufacturing processes (a.k.a. 3D printing). An overview of all additive manufacturing processes is provided. Projects are used to develop in-depth knowledge in key applications of additive manufacturing.
• ISE 601. Additive Manufacturing Structure Design (3 Units)
  • Description: This course focuses on the overview of design issues in additive manufacturing (AM), including the design of structures, materials and processes. The students are expected to gain in-depth understanding of the design issues with current AM technologies.
• ISE 602. Graduate Internship in Industrial Engineering (1 Unit)
  • Grading Basis: Pass/Fail
  • Term Typically Offered: Fall, Spring, Summer
  • Prerequisite(s): Admission to Graduate Study, Permission of Department Chair, and Permission of Director of Career Services
  • Description: Supervised professional experience in industry at the graduate level. This course provides the structure and focus for the graduate intern field assignment to ensure that the assignment is appropriate and consistent with the intern's graduate course of study and professional development.
• ISE 610. Foundations of Optimization I (3 Units)
  • Term Typically Offered: Spring Even Years
  • Prerequisite(s): ISE 646 and Graduate standing in the JB Speed School of Engineering
  • Description: Formulation and solution of applicable optimization models for linear, integer, and network problems. Efficient algorithmic methods and use of computer modeling languages and systems.
• ISE 611. Discrete Optimization (3 Units)
  • Prerequisite(s): ISE 515
  • Description: A study of the techniques and applications of discrete optimization, especially as related to integer and dynamic programming.
• ISE 614. Foundations of Optimization II (3 Units)
  • Prerequisite(s): ENGR 330 and ISE 610
  • Description: Formulation and solution of applicable optimization models for nonlinear, stochastic programming, robust optimization and convex problems. Efficient algorithmic methods and use of computer modeling languages and systems.
• ISE 615. Exact and Heuristic Algorithms for Optimization (3 Units)
  • Term Typically Offered: Fall Odd Years
  • Prerequisite(s): CSE 120 (or equivalent previous permission of the instructor) and ISE 515 (or basic knowledge of linear programming, duality theory and integer programming)
  • Description: This course is a survey of the most common search methods for optimization problems. We will focus on exact methods (including: Exhaustive Search, Branch and Bound, Column Generation, Decomposition methods), and on heuristic methods (including, Random search, Greedy Search, Local Search, Simulated Annealing (SA), Greedy Randomized Adaptive Search (GRASP), Genetic Algorithms (GA)).
• ISE 619. Digital and Advanced Manufacturing Systems (3 Units)
  • Term Typically Offered: Fall Only
  • Prerequisite(s): Previous course preparation in the areas of manufacturing process principles and industrial digital automation control is required
  • Description: This course deals with some of the contemporary aspects of digital manufacturing and industry 4.0 manufacturing systems, which is highly disciplinary and of great interest to today's manufacturing industries.
• ISE 621. Facility Location and Layout (3 Units)
  • Term Typically Offered: Fall Only
  • Prerequisite(s): ISE 240
  • Description: Design and layout of industrial facilities, facility location, space requirement, flow charts, relationships diagrams, material handling, quantitative layout techniques, production line balancing, and computer programs for layout planning.
• ISE 625. Production and Inventory Systems (3 Units)
  • Term Typically Offered: Spring Only
  • Prerequisite(s): ISE 560 (Probability and Statistics) or similar course
  • Description: Topics include the context of inventory management and production planning decisions, economic order quantities, heuristics and models for probabilistic and time-varying demand patterns, coordinated replenishment systems, and aggregate planning.
• ISE 629. Quality Control (3 Units)
  • Term Typically Offered: Spring Only
  • Prerequisite(s): This course is only available for those who have not taken ISE 430
  • Description: Previous course preparation in the areas of engineering statistics is required and approved by instructor. Developing an effective total quality control (TQC) system: integrating the quality development, maintenance, and improvement efforts of an organization; control charts, process capability, value engineering, product liability prevention, and computer control.
• ISE 630. Advanced Production Systems Design (3 Units)
  • Prerequisite(s): ISE 421, ISE 425, ISE 430
  • Description: This course is organized around the principles of Lean Manufacturing Engineering. Topics include lean manufacturing, including value, value stream, flow, pull and continuous improvement.
• ISE 631. Advanced Quality Control (3 Units)
  • Description: Advanced techniques for quality improvement and process control are investigated; these include advanced techniques of SPC, trouble shooting and diagnostics and Taguchi methods of experimental design.
• ISE 634. Case Studies in Production and Industrial Engineering (3 Units)
  • Prerequisite(s): ISE 425, ISE 515, ISE 541
  • Description: Case studies illustrate the application of industrial engineering techniques to the design of production systems, the control of construction projects, and health care delivery systems.
• ISE 640. Applied Systems Analysis (3 Units)
  • Prerequisite(s): ISE 360, ISE 370, ISE 515
  • Description: Problem formulation, data collection, alternative design generation, design evaluation, specification, and implementation for large scale systems.
• ISE 642. Statistical Methodology in Simulation (3 Units)
  • Prerequisite(s): ISE 360 and ISE 541
  • Description: Discrete simulation modeling, input probability distributions, random variate generators, output data analysis, validation, variance reduction, experimental design and optimization.
• ISE 643. Analysis for Decision Making (3 Units)
  • Prerequisite(s): ISE 360 and ISE 515
  • Description: The role of decision analysis in design; techniques for multicriteria decision analysis; systematic creativity in design.
• ISE 645. Systems Simulation (3 Units)
  • Term Typically Offered: Spring Only
  • Prerequisite(s): ISE 560 (or equivalent), and Graduate standing in the JB Speed School of Engineering
  • Description: The goal of this course is to give the student a basic working knowledge of the concepts of simulation modeling and analysis, especially as applied in the design and operation of both manufacturing-oriented and service-oriented systems.
• ISE 646. Operations Research Methods (3 Units)
  • Term Typically Offered: Fall Only
  • Prerequisite(s): Prior knowledge in linear algebra is required
  • Description: Graduate standing in the JB Speed School of Engineering. Formulation and solution of basic models in operations research. Topics to be covered include applications of linear, integer and nonlinear programming; transportation and assignment problems, and network flows models.
• ISE 650. Material Flow Systems Design (3 Units)
  • Prerequisite(s): ISE 515
  • Description: Material handling and equipment concepts; computerized plant layout; problem formulation; requirements definition; queuing; location analysis; conveyor theory; simulation; developing and evaluating alternative systems; systems implementation.
• ISE 655. Supply Chain Engineering (3 Units)
  • Term Typically Offered: Fall Only
  • Prerequisite(s): Graduate Standing in the JB Speed School of Engineering
  • Description: This course is designed to offer a balanced coverage on concept survey, analytics and modeling for operations and engineering in supply chain and logistics systems.
• ISE 657. Models for Design and Analysis of Logistical Systems (3 Units)
  • Term Typically Offered: Spring Only
  • Prerequisite(s): ISE 646, and Graduate standing in the JB Speed School of Engineering
  • Description: This modeling oriented course for the design, analysis and operation of logistical systems includes topics such as inventory control, transportation, distribution network design, and supply chain management.
• ISE 660. Reliability and Maintainability (3 Units)
  • Prerequisite(s): ISE 360
  • Description: Design, development, and test techniques required to assure the reliability and maintainability of new systems. Design of maintenance programs for new and existing systems.
• ISE 662. Predictive Analytics for Decision Making I (3 Units)
  • Term Typically Offered: Fall Only
  • Prerequisite(s): Prior knowledge on basic probability and statistics
  • Description: Graduate standing in the JB Speed School of Engineering. This course will prepare students with various predictive analytics methods for manufacturing, healthcare, etc., which will be illustrated in examples.
• ISE 663. Predictive Analytics for Decision Making II (3 Units)
  • Term Typically Offered: Spring Only
  • Prerequisite(s): ISE 462 or ISE 662 or similar; Experience with Python; ISE 560 (Prob&Stats) or similar course
  • Description: This course provides an introduction to several classical and state-of-the-art machine learning methods and their applications for engineers.
• ISE 664. Experimental Design in Engineering (3 Units)
  • Term Typically Offered: Spring, Summer
  • Prerequisite(s): ISE 560 (or equivalent) and Graduate standing in the JB Speed School of Engineering
  • Description: Design of engineering experiments and projects using theory of least squares, analysis of variance, randomized blocks, factorial experiments, nested designs, split plot designs and logistic regression techniques.
• ISE 669. Introduction to Human Factors Engineering and Ergonomics (3 Units)
  • Term Typically Offered: Fall Only
  • Prerequisite(s): Graduate Standing in the JB Speed School of Engineering
  • Description: Human factors engineering is the study of human cognitive and physical abilities and limitations, and applying that knowledge to engineering design.
• ISE 670. Advanced Engineering Economy (3 Units)
  • Prerequisite(s): ISE 370
  • Description: Inflation; cost of capital; revenue requirements; uncertainty and risk; propagation of errors; Hillier's results; simulation; capital budgeting.
• ISE 671. Advanced Topics in Human Factors Engineering (3 Units)
  • Term Typically Offered: Spring Only
  • Prerequisite(s): ISE 669 (or equivalent); graduate Standing in the JB Speed School of Engineering
  • Description: Human factors engineering is the study of human cognitive and physical abilities and limitations, and applying that knowledge to engineering design.
• ISE 675. Usability Engineering (3 Units)
  • Term Typically Offered: Spring Only
  • Prerequisite(s): Graduate Standing in the JB Speed School of Engineering
  • Description: Although the title of this course is 'Usability Engineering', the traditional concept of usability is expanded to a broader notion of user experience, including usability, usefulness, and emotional impact.
• ISE 682. Quality of Care and Patient Safety (3 Units)
  • Term Typically Offered: Fall Only
  • Description: This course provides students an overview of the healthcare system and the different types of healthcare delivery, as well as factors that determine quality of care.
• ISE 684. Health IT and Clinician Support (3 Units)
  • Term Typically Offered: Spring Only
  • Description: This course provides students an overview of various types of health information technology (IT) systems, as well as strategies, methods, and tools used to support the work and health of clinicians.
• ISE 690. Master of Science Thesis in Industrial Engineering (1-6 Units)
  • Grading Basis: Pass/Fail
  • Prerequisite(s): Department Chair permission required
  • Description: Research on MS thesis project. Grade shall be deferred by the major professor until evaluation of the thesis by the student's committee.
• ISE 693. Independent Study in Industrial Engineering (1-12 Units)
  • Description: Opportunity for the student, under the supervision of a sponsoring faculty member, to pursue individualized study related to research or practice that is not included in regular courses in the curriculum.
• ISE 694. Advanced Topics in IE (1-6 Units)
  • Prerequisite(s): Consent of instructor
  • Description: An advanced course in Industrial Engineering topics not covered by regularly scheduled courses.
• ISE 695. PhD Seminar (1 Unit)
  • Grading Basis: Pass/Fail
  • Term Typically Offered: Fall, Spring
  • Prerequisite(s): Consent of advisor
  • Description: This course is a series of seminars covering topics related to Industrial Engineering (IE).
• ISE 699. Industrial Engineering Master's Degree Project (3 Units)
  • Prerequisite(s): Instructor permission required
  • Description: The Industrial Engineering MS student carries out an engineering project under the supervision of a faculty mentor, prepares an acceptable written report, and presents a seminar on the project.
• ISE 700. Dissertation Research in Industrial Engineering (1-18 Units)
  • Grading Basis: Pass/Fail
  • Prerequisite(s): Department Chair permission required
  • Description: Research on dissertation project. Grade will be deferred by the major professor until evaluation of the dissertation by the student's committee.