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Industrial Engineering: University of Pittsburgh Swanson School of Engineering

Undergraduate Course Listing

Industrial Engineering Required Courses

  • IE 0015 : Introduction to Information Systems Engineering (3 Cr.): This course introduces students to the major components comprising information systems including databases, graphical user interfaces and telecommunication protocols. Students will use a visual programming language, a relational database management system, and a network protocol to learn how to develop desktop information systems for industrial and service applications. The course will serve as a primer for advanced courses in each information system technology area. Prerequisite: ENGR 0012
  • IE 1035 : Engineering Management (3 Cr.): Provides modern engineering management theory applied to technical organizations. Topics include: the management process; project management; managing technical people; communications; managing technological change; engineering law; labor relations; engineering ethics; cases; and classroom exercises. Prerequisite: Junior Status
  • IE 1040 : Engineering Economic Analysis (3 Cr.): Discusses time value of money, interest rate calculations, economic equivalence concepts, cost of capital, comparison of alternate investments, evaluating economic life and replacement alternatives, inflation, depreciation, depletion, impact of taxes on engineering economic decisions. Prerequisite: MATH 0220
  • IE 1051 : Engineering Product Design (3 Cr.): Lectures cover the following: CAD functions and CAD systems; design process; hardware issues; software issues; use of commercial software; graphics primitives; mathematical transformations; solid modeling; database management systems; relational databases; adding intelligence to CAD systems. Laboratory sessions deal with a diversity of design projects utilizing commercial software packages. Prerequisite: IE 1052
  • IE 1052 : Manufacturing Processes and Analysis (3 Cr.): An introduction to traditional and non-traditional processes, product design, geometric tolerancing, cellular design, flexible flow lines, lead time analysis, and work flow leveling and balancing. Prerequisite: IE 1054
  • IE 1054 : Productivity Analysis (3 Cr.): Introduction to Industrial Engineering concepts and thought processes including Manufacturing processes; design-product and process considerations; methods engineering, standards development, predetermined time systems, computerized work measurement; motivation and incentives, quality circles and facilities design. Corequisite: ENGR 0020
  • IE 1055 : Facility Layout and Material Handling (3 Cr.): Introduction to facility layout and location topics including activity relationships, space and personnel requirements, computer algorithms for constructing layouts, assembly line balancing, and both single and multiple facility location methodologies; material handling methods and equipment including conveyors, lift trucks, carousels, automated guided vehicles, and automated storage and retrieval systems are also discussed.
    Corequisite: IE 1052; Prerequisites: IE 1081, ENGR 0020
  • IE 1061 : Human Factors Engineering (3 Cr.): A study of human abilities, characteristics, behavior, and motivation in the design, development, and operation of components and systems designed for human use. Prerequisite: ENGR 0020
  • IE 1071 : Probability and Statistics for Engineers 2 (4 Cr.): Review of joint distributions and estimation; Chi square, t, and F sampling distributions introduced; estimation hypothesis testing; multiple regression; empirical model building; analysis of variance and design of experiments; goodness-of-fit tests and contingency tables; introduction to statistical quality control. Prerequisite: ENGR 0020
  • IE1080 (formerly IE 1056) : Supply Chain Analysis (3 Cr.): An overview of Supply Chain Analysis with an emphasis on operations and a strong quantitative orientation. Topics include supply chain strategies; sourcing decisions; demand forecasting; aggregate planning; managing supply and demand; production and inventory control systems including MRP and JIT; dealing with uncertainty; distribution networks; coordination & integration. Prerequisites: IE 1082 & IE 1055
  • IE 1081 : Deterministic Methods in Operations Research (3 Cr.): Introduction to the decision-making process and mathematical modeling; theory and methodology of the simplex algorithm; duality theory, complementary slackness, post-optimality analysis; transportation and assignment problems; application to real-life case problems; computer codes. Prerequisite: Math 0250 or Math 0280
  • IE 1082 : Probabilistic Methods in Operations Research (3 Cr.): Probabilistic and dynamic decision models, including scheduling, Markov processes, queuing theory, dynamic programming, and decision analysis. Prerequisites: IE 1071 & IE 1081
  • IE 1083 : Simulation Modeling with Arena (3 Cr.): Random number generation; distribution functions and random varieties; games of chance; applications of discrete event simulation methods to queuing, inventory control, and production planning problems. Introduction to special-purpose simulation languages. Prerequisite: ENGR 0020
  • IE 1085 : Departmental Seminar (0 Cr.): Departmental seminar presents the industrial engineering viewpoint by featuring prominent speakers from industry and government. Also serves as an organizational forum for the University chapter of the Institute of Industrial Engineers.
  • IE 1090 : Senior Projects (4 Cr.): Analytical investigation techniques for total project problems in technical organizations. Involves solving of client problems utilizing industrial engineering capabilities acquired by students during program of study. Provides students with project team experience, report writing, and seminar presentation of team results. Corequisites: IE 1035, IE 1080 & IE 1083

Swanson School of Engineering Required Courses

  • ENGR 0020 : Probability and Statistics for Engineers 1 (4 Cr.): A basic course in probability and statistics. Topics covered include: data analysis, probability, random variables, discrete and continuous probability distributions, estimation, hypothesis testing, and regression analysis statistical process control. Prerequisite: MATH 0230
  • ENGR 0022 : Material Structures and Properties (3 Cr.): An introduction to the basic concepts of materials science and engineering. The concepts of atomic, crystal, micro- and macro-structure, their control and effect on chemical, electrical, magnetic and mechanical properties. Modification of properties by heat treatment and control of processing. Fundamental considerations in materials selection.
  • ENGR 0135 : Statics and Mechanics of Materials 1 (3 Cr.): First of a two course sequence covering statics and strength of materials. Topics covered include: concurrent force systems, equilibrium, axial loading, stress, strain, deformation, moments, equivalent systems, centroids, centers of mass, and distributed loads, free-body diagrams, equilibrium of rigid and deformable bodies, plane trusses, frames and machines equilibrium in 3D, torsion and friction. Use is made of computers for problem solving.
  • ENGR 1010 : Communications Skills for Engineers (3 Cr.): Utilizing a variety of spoken, written, and audio-video activities, students learn how to give instructions, use feedback, listen, conduct the job and appraisal interview, conduct meetings, make use of groups, make presentations, manage crises -- most of the skills they need to strengthen their personal, interpersonal group, and organizational communicative skills. The instructing-learning process emphasizes motivation, concentration, participation, organization, comprehension, repetition, articulateness, and confidence.
  • ENGR 1869 : Intro to Electrical Engineering for Non-EE Students (3 Cr.): Linear electric circuits, circuit elements and sources, mesh and node equations, Thevenin equivalent circuits, sinussoidal steady-state analysis, three-phase circuits, power concepts.

Industrial Engineering Elective Courses

  • ENGR 1050 : Product Realization (3 Cr.): This interdisciplinary course will focus on product analysis, product redesign and product development. Student teams will work with industrial sponsors to develop product plans for emerging and existing products.
  • IE 1012: Manufacture of Structural Nano-Materials (3 cr.): This course covers a number of contemporary research topics on the manufacture and characteristics of high-strength nanostructured materials. In addition, this course emphasizes the nanometer-scale phenomena that make nanostructured materials particularly attractive for structural applications. Relevant topics including dislocation theory, large-strain plasticity phenomena, superplasticity, creep and kinetics of coarsening will be developed from a fundamental level to aid in this elucidation.
  • IE 1013 : Manufacturing Process Engineering (3 cr.): The objective of this course is to instill a fundamental understanding of manufacturing processes by focusing on the processes, metallurgy and mechanics of deformation in metal forming. To this end, analysis techniques will be developed from solid mechanical principles (stress-strain relationship, deformation and failure) which would then be applied bulk deformation and material removal processes. The course assumes no prerequisites except basic concepts of stress, strain and strength of materials.
  • IE 1014 : Database Design (3 Cr.): Introduces the fundamentals required for the design of integrated information systems. Topics on computer hardware including communication networks, workstations/personal computers and automatic identification equipment will be covered. Introduces database concepts, client/server architectures, graphical user interfaces, and design theory for determining functional and system requirements. Students gain skills in usage of distributed database management system and automatics identification equipment such as barcode, magnetic stripe, and radio frequency.
  • IE 1015 : Geographic Information Systems(3 Cr.): This class explores the concepts and history of geographic information systems and teaches students to effectively use the most utilitarian GIS software, ARCGIS.
  • IE 1033 : Board Governance and Management (3 Cr.): This course captures the new era in enterprise governance, where performance of an organization is shaped and ultimately determined by the characteristics and management of its board of directors. It utilizes the study of boards of directors in contemporary profit and non-profit organizations in conjunction with students' experiences in leadership roles. Topics covered will include foundation of boards, board structure, info management, communication, and relations with senior management and the function of boards. The course will include case studies and group projects.
  • IE 1039 :Entrepreneurship for Engineers (3 Cr.): This course considers the development of a new company from inception to "going public".  It includes an understanding of accounting principles, budgeting, capital markets, venture capital, operating in the development stage, executive and employee requirements, product development, and growing the company.  The course culminates in the group development of a business plan for a new company.
  • IE 1057 : Computer Aided Manufacturing (3 Cr.): Principles of industrial automation including automated information tracking, control elements, programmable logic controllers, numerical control programming, robotics, machine vision, and CAD/CAM linkages. Prerequisites: IE 1051 & IE 1052
  • IE 1062 : Data Mining (3 Cr.): Introductory course on data mining. Topics covered include: knowledge representation, classification methods such as decision trees, naïve Bayesian, covering algorithms, neural networks, instance based learning; association rules; clustering; applications.
  • IE 1076 : Total Quality Management (3 Cr.): An introduction to the philosophies of Deming, Crosby, Juran and Kaizen. Techniques include the seven basic tools, traditional quality control, statistical process control, benchmarking, and quality function deployment.
  • IE 1079 : Logistics and Supply Chain Engineering (3 cr.): This course will cover the basic elements of the supply chain: procurement, production and distribution. Emphasis will be placed on the decisions pertaining to logistics.
  • IE 1086 : Decision Models(3 Cr.): Decision theory, risk and uncertainty, value of information, preference measurements, prioritization of alternatives, multiple objectives and hierarchical decisions.  Case studies are incorporated into lectures.
  • IE 1087: Finite Element Analysis in Product Design (3 cr.): This course investigates the growing trend of utilizing virtual design and analysis tools in the product development process. A brief overview of the product development process will be given, with particular emphasis on the role of virtual prototyping techniques. In this regard, the underlying theory of the finite element method will be demonstrated through the fundamental concepts of material models, stiffness matrices, loading and boundary conditions, and the generation of stress and displacement results. In addition, utilizing the commercial finite element software package ANSYS, potential consumer products will be virtually analyzed in an effort to rapidly change and obtain feedback on specific design solutions.
  • IE 1091: Unstructured Problem Solving (3 cr.): This course consists of two successive projects each running for about seven weeks. The projects will be in the form of detailed, unstructured case-studies and require the integration of IE skills and their synthesis with other proficiencies. The first project will address a problem within a local context, the second within a global context. Students will work in teams on the same two projects.
  • IE 1098 : Special Projects (1 - 4 Cr.): Independent study projects in specialized industrial engineering topics. Students must have the permission of a faculty member who agrees to mentor the independent study. Independent study is not permitted for subject areas that are part of the regularly scheduled course work.
  • IE 1101 : Facility Logistics(3 Cr.): This aim of this course is to study and analyze key factors affecting the productivity of logistics operations and material flows in facilities.  In particular, the course focuses on warehouse and distribution center design and operation including: material handling equipment and system design, order picking, sortation systems, and cross docking.  There is also an investigation of the use of different labor strategies such as bucket brigades.

Engineers make things...

Industrial engineers make things better!

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