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Course Criteria
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3.00 Credits
Studies major changes in the manufacturing process and the paradigm shifts in production. Includes a focus on design, process improvement, inventory, teams, maintenance, planning and control systems. First of two required courses for ISE majors. Prerequisite: EE 260 and ME 271 or equivalent. fall, 3 cr.
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3.00 Credits
Second course in the manufacturing series. Covers the models, networking and systems needed to design and manage a manufacturing enterprise. Topics include MRP, Kanban, workstation design, facility design and other such manufacturing topics. Prerequisite: ISE 311 or consent of department chair. spring, 3 cr.
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3.00 Credits
Operations research (OR) is devoted to determination of the optimal course of action of a decision problem given resource restrictions. Following a review of linear algebra, student learns how to model an engineering problem mathematically, how to solve the problem to optimality and how to perform sensitivity analyses on the results. Students learn linear programming (LP), integer programming (IP), dynamic programming (DP) and branch-and-bound (B&B) techniques. Special emphasis on the solution of engineering decision making in the following areas: transportation models; project/production scheduling; inventory models; assignment problems. Prerequisite: ISE 362 or consent of department chair. fall
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3.00 Credits
Review of ANOVA. Discussion of designing with experiments, including standard design of full factorial experiments, confounding and aliasing, Taguchi experiments, screening experiments and fractionalized factorial experiments. Concepts of non-parametric tests. Methods of fault isolation and failure mode analysis. Terms and concepts relating to reliability and evaluation of reliability. Concepts of stochastic models, such as standby modeling and Markov models. Use of approximate methods and methods of testing and accelerated testing. Prerequisite: ISE 261 or consent of department chair. fall, 3 cr.
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3.00 Credits
Topics include analysis of variance, completely randomized designs, randomized block designs, other blocking configurations, nested designs, fixed, random, mixed models and more efficient designs following the Taguchi approach. Confounding in factorial experiments, fractional factorial designs and response surface models. Prerequisite: ISE 362 or consent of department chair. spring, 3 cr.
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3.00 Credits
Study of different technologies employed to implement industrial automation. Includes sensors, industrial robotics, numerical control, programmable logic controllers, machine vision and the implementation of online computer control. Laboratory work is required. Prerequisites: third-year standing in ISE or MATH 323, ISE 212 and EE 260, or consent of department chair. fall, 3 cr.
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3.00 Credits
Studies concepts that help to integrate manufacturing systems, including group technology, flexible manufacturing systems, computer-aided process planning, assembly line balancing, computer-aided design and manufacturing, concurrent engineering, supply chain management, etc. Necessary infrastructure and techniques critical to computer-based integration addressed, including computer networking, databases and communication protocols within manufacturing. Prerequisite: third-year standing in ISE or consent of department chair.
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3.00 Credits
Basic concepts of logic: truth tables, tautologies, valid arguments. Set theory: subsets, product sets, cardinality, functions and relations. Basic concepts of probability; real functions of real variable; derivative, integral, limit, continuity; interpolation, approximation; vectors and matrices.
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3.00 Credits
Covered concepts: sets, fuzzy sets, graph theory, trees, finite automata, Turing machines, formal languages, algebraic structures, semigroups, monoids, lattices, Boolean algebras, homomorphisms, isomorphisms, etc. Presented in terms applicable to modeling and simulation in systems and computer science. Available to undergraduate students as SSIE 310. Graduate students complete additional assignments. Prerequisite: SSIE 400 or equivalent.
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3.00 Credits
Course deals with management of supply chains, in particular, with the operational aspects. A broad overview of supply chains of a company is introduced, together with performance measures and needed critical success factors. The course concentrates on supplies, inventories, manufacturing, and logistics of distribution. Managerial aspects as well as mathematical modeling for better planning and control will be covered. Enabling the supply chains by Enterprise Resource Planning modules and e-commerce will also be discussed. Prerequisite: senior standing in ISE or consent of instructor.
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