ISE Course Description
ISE 205 Engineering Probability and Statistics (3-0-3)
Data description and presentation. Basic concepts in probability. Random variables and probability distributions. Joint Probability Distributions. Covariance and correlation. Sampling distributions. Point estimation of parameters.
Prerequisite: MATH 102
ISE 291 Introduction to Data Science (3-0-3)
A hands-on introductory level course on data science techniques and applications. Preliminary statistics, programming, and SQL. Basic data acquisition, cleaning, manipulation and pre-processing. Emphasis on: Data understanding and preparation; Exploratory data analysis and visualization. Implementing and validating linear and penalized regression, basic classification and basic clustering methods. Introduction to big data analysis.
Prerequisite: MATH 102 or MATH 106, ICS 104
ISE 303 Operations Research I (3-0-3)
Modeling in Operations Research. Linear Programming: Simplex Method, Duality, Sensitivity Analysis. Network Models: Shortest-Route Problem, PERT/CPM, Maximum Flow Problem, Minimal Spanning Tree Problem, Transportation and Assignment Problems. Goal Programming.
Prerequisite: MATH 208
ISE 307 Engineering Economic Analysis (3-0-3)
Introduction to concepts of economic decision-making from a cash flow viewpoint. It includes present worth analysis, cash flow equivalence, rates of return, replacement analysis, benefit-cost analysis, depreciation and taxes, and projects break-even point, selection, and sensitivity analysis.
Prerequisite: Junior Standing
ISE 315 Engineering Statistics (3-0-3)
Review for estimation. Statistical intervals using single and two samples. Test of hypothesis for single and two samples. Applications of test of hypothesis in engineering. Simple and multiple linear regression and their applications. Design and analysis of single-factor experiments: analysis of variance. Design of experiments with several factors. Case studies in engineering statistics.
Prerequisite: ISE 205 or STAT 319
ISE 320 Quality Control and Industrial Statistics (3-0-3)
Introduction to quality control and process improvement. Cost of quality and the effects of quality on productivity. Concepts of variation. Statistical process control (SPC tools). Control charts for variables and attributes and their applications in process control. Process capability studies. Acceptance sampling. Case studies in applied quality control.
Corequisite: ISE 315
ISE 321 Optimization Methods (3-0-3)
Formulation of engineering and planning problems as integer or nonlinear programs. Cutting planes and the branch and bound approach for IPs. Optimality conditions. Solution algorithms for unconstrained and constrained NLPs.
Prerequisite: ISE 303
ISE 324 Work and Process Improvements (2-0-2)
This course explains methods design and work measurement, process analysis, operation analysis, introduction to human engineering, standardization, work measurement, predetermined motion-time systems, standard data, and work sampling.
Prerequisite: ISE 205 or STAT 319
ISE 351 Cooperative Work (0-0-6)
The Cooperative Work Program accounts for nine (9) credit hours, involves either a team-based or a single student-based project that is geared toward an integrated application of several pieces of Systems Engineering knowledge learned by the student in his undergraduate education thus far. The co-op project must address technical aspects of the practice of Systems Engineering, including analysis, experimentation and design, by utilizing the problem-solving techniques covered in the various required (core) and elective courses offered at the Systems Engineering department.
Prerequisites: ENGL 214, ISE 303, ISE 391, ISE 499, Junior Standing
ISE 391 Industrial Engineering Design (1-3-2)
Introduction to engineering design, formulation of design problems, the design process, design phases, IE and the design process, Quality function deployment for specifying design requirements, design strategies, generating alternatives, probabilistic consideration in design, communication issues, design evaluation, selection and implementation. Discussion of case studies including operations systems, manufacturing, quality, ergonomics, layout and scheduling. Includes team project with an application in manufacturing or service industry.
Prerequisites: ISE 205 or STAT 319, ENGL 214, Junior Standing
ISE 398 Internship (0-0-6)
A 15-week program of industrial training approved by the department. The student must submit a comprehensive report on his work during that period.
Prerequisites: ENG 214, ISE 391, ISE 499, Junior Standing
ISE 399 Summer Training (0-0-0)
An 8-week program of industrial training approved by the department. The student must submit a report on his work during that period.
Prerequisites: ENG 214, ISE 499, Junior Standing or Approval of Department
ISE 402 Production Systems and Inventory Control (3-0-3)
Elements of functional organization, Forecasting in production systems, Product and process design considerations, Deterministic and stochastic inventory systems, Capacity planning and material requirement planning (MRP), Computer applications in production control and case studies and applications.
Prerequisites: ISE 205 or STAT 319, ISE 303 or (MATH 106, OM 210, OM 311 for KBS)
ISE 405 Stochastic Systems Simulation (2-3-3)
Basic discrete-event simulation modeling, queuing models, simulation languages, review of basic probability and statistics, random-number generators, generating random variables, output data analysis, validation of simulation models. A simulation language is used in the lab to illustrate simulation models on real case studies.
Prerequisite: ISE 315
ISE 411 Senior Design Project I (0-1-0)
This is the first of two courses for the multidisciplinary, capstone project. Multidisciplinary teams will be formed, projects will be defined, and project management discussed.
Prerequisite: Junior Standing
ISE 412 Senior Design Project II (0-6-3)
This is the second of two courses for the multidisciplinary, capstone project. Multidisciplinary teams undertake product definition, generation of conceptual designs, product development, and presentation of final products. Students integrate knowledge acquired from prior courses into multidisciplinary projects with multiple constraints and use engineering standards while further developing their communication skills and life-long learning techniques.
Prerequisite: ISE 391, ISE 411, and ISE 499
ISE 413 Productivity Engineering and Management (3-0-3)
Introduction to productivity, productivity factors, measurement of productivity, planning for productivity, total productivity model, product base productivity improvement, and employee based productivity improvement, productivity improvement programs, case studies and class project.
Prerequisite: ISE 324
ISE 420 Quality Improvement Methods (3-0-3)
Introduction to principles and philosophies of total quality management, advance methods for process control, six sigma approach to quality, Quality function deployment (QFD) and Taguchi approach to quality and parameter optimization.
Prerequisite: ISE 320
ISE 422 Facility Layout and Location (3-0-3)
Introduction to facility planning issues. Material handling. Facility location and layout and computer-aided techniques and packages. Storage and warehousing functions, emphasizing quantitative and simulation techniques.
Prerequisite: ISE 303
ISE 426 Operations Research II (3-0-3)
Deterministic and probabilistic dynamic programming. Stochastic programming. Poisson process. Theory of queues. Markov Chains.
Prerequisite: ISE 303
ISE 429 Maintenance Planning and Control (3-0-3)
Maintenance Organization, Maintenance strategy, Forecasting maintenance work, Maintenance capacity planning, Component replacement decision models, Maintenance Measurement and Standards, Scheduling of maintenance, Maintenance material control, Quality of maintenance jobs, Maintenance productivity, Maintenance audit, Maintenance management information systems, Case Studies.
Prerequisite: Senior Standing
ISE 430 Industrial Engineering in Healthcare Systems (3-0-3)
The course covers topics in healthcare management and operations improvement. The course will cover topics from healthcare prospective and application such as scheduling, simulation, data analysis, productivity, resource allocation, decision-making, etc. Students will become familiar with current methods and resources for implementing change in a health care setting, such as a hospital.
Prerequisites: Senior Standing, Approval of Instructor
ISE 440 Engineering Project Management (3-0-3)
This course deals with projects in engineering organizations including product development. Topics include project initiation; effective project management; project risk management project life cycle; planning and scheduling including PERT/CPM; resourcing; cost estimating; and project monitoring and control. Case studies and project management software.
Prerequisite: ISE 307
ISE 443 Human Factors Engineering (2-3-3)
Study of human response into man-machine systems. Study of visual displays as a medium of input. Auditory and tactual displays. Human control of systems. Control tools and related devices. Applied anthropometry and workplace design. Physical space arrangement, Environment, Illumination, Atmospheric conditions and noise.
Prerequisite: ISE 205
ISE 447 Decision Making (3-0-3)
Basic decision-making model under certainty with multiple criteria as well as under pure Uncertainty, Risk, Risk with information and conflict with single criteria. Structuring decision problems as well as applications in systems engineering are emphasized through problem sets, case studies and term project.
Prerequisites: ISE 205, Junior Standing
ISE 448 Sequencing and Scheduling (3-0-3)
Scheduling problems, optimality of schedules, processing, basic single machine results, precedence constraints and efficiency, constructive algorithms for flow-shops and job-shops, dynamic programming approaches, branch and bound methods, integer programming formulations, hard problems and NP-completeness. Heuristic methods: general approaches and worst-case bounds, simulated annealing approach.
Prerequisite: ISE 303
ISE 449 Special Topics in Industrial Engineering Design (3-0-3)
The course is in the general area of industrial engineering and operations research focusing on advanced topics.
Prerequisite: Senior
ISE 453 Design Optimization (3-0-3)
Introduction to the mathematical modeling of design optimization, including unconstrained and constrained optimization problems. Formulation of single and multiple design variables for linear and non-linear problems with applications in various aspects of engineering design. Basics on multi-objective problems, and optimization under uncertainty. Emphasis on applications with Multidisciplinary case studies. Solving these optimization problems using software modeling language package. Note: Not to be taken for credits with ISE 303.
Prerequisite: MATH 201
ISE 455 Applied Models for Optimal Decisions (3-0-3)
Review of decision making under uncertainty and risk. Linear and linear programming for deterministic decision making. Chance constrained and two stage stochastic programming. Risk analysis, robust and queuing theory. New concepts will be presented through cases studies using inductive teaching. Students must work on a project that demonstrates their understanding of decision making under uncertainty applied to a real case.
Prerequisite: ISE 447
ISE 460 Industrial Process Re-Engineering (3-0-3)
Introduction to function and Process Organization, strategy plan and business context, stockholder analysis, value and non-value added activities, process identification, process architect & align, understanding of existing process, mapping and process evaluation, measures and target setting, process visioning, process renew and re-engineering, element for essential and sustainability, continues improvements.
Prerequisite: ISE 324
ISE 463 Theory of Stochastic Processes (3-0-3)
Basic review of probability, statistical independence, conditional expectation and characteristic function. Introduction to stochastic processes, stationarity and ergodicity. Markov chains and Poisson processes. Linear models of continuous- and discrete- time stochastic processes. Engineering applications.
Prerequisite: ISE 315
ISE 464 Industrial Information Systems (2-3-3)
Design of industrial information systems. Focus on the planning, control of the flow of engineering and industrial information. Information systems requirements, analysis, and design. Students are required to work on a project of applied nature.
Prerequisite: ISE 365
ISE 465 Industrial Safety (3-0-3)
The scope of occupational safety: Human safety, Environmental safety, Setting safety standard: Safety administration, Legal aspect of industrial safety.
Prerequisite: Junior Standing
ISE 468 Introduction to Machine Learning and Data Analytics (3-0-3)
An introduction to data analysis, clustering algorithms, classification algorithms, and R programming language.
Prerequisite: ISE 205 or STAT 319
ISE 470 Supply Chain Systems Modeling (3-0-3)
This course adopts a modeling approach to supply chains that is designed to study trade-offs between system costs and customer service. Topics covered include supply chain design, multi-location inventory-distribution models, bullwhip effect, delayed differentiation, and e-commerce and supply chain. The key insights provided by such system-wide models will be illustrated through the use of software packages, real cases discussion and presentations and term projects. In addition, the course will highlight the role of information technology in supporting supply chain operations.
Prerequisite: ISE 402
ISE 472 Logistics and Transportation Systems (3-0-3)
Logistics and its role in the supply chain; transportation and its relationship to logistics; design of distribution networks; types of facilities in a logistics system; facility location models in logistics; transportation systems in logistics; transportation modes; mode selection; optimization of short- and long-haul transportation operations; routing and scheduling in transportation; logistics information systems.
Prerequisite: ISE 321, ISE 402
ISE 480 Reliability and Maintainability (3-0-3)
Introduction to Reliability Engineering, hazard and reliability functions, analyzing reliability data, reliability prediction and modeling, fault tress construction and decision tables, maintainability, maintenance and availability, reliability improvement.
Prerequisite: ISE 315
ISE 487 Predictive Analytics Techniques (3-0-3)
Characteristics of time series, trends, seasonality, noise, stationarity; Statistical background and model evaluation methods; Time series regression, variable selection and general linear regression; Exponential Smoothing and seasonal data; ARIMA based models including MA, AR, ARMA, ARIMA and SARIMA, Model validation and parameter estimation; Advance predictive analytics: Multivariate prediction, state space models, neural networks, spectral analysis and Bayesian methods.
Prerequisites: (MATH 405 or ISE 315), (ICS 103 or ICS 104)
ISE 491 Special Topics in Operations Research (3-0-3)
A course in an area of operation research reflecting current theory and practice.
Prerequisite: Approval of Department
ISE 492 Special Topics in Production and Quality Control (3-0-3)
A course in an area of production and quality control reflecting current theory and practice.
Prerequisite: Approval of Department
ISE 493 Special Topics in IE/OR (3-0-3)
A course in an area of reliability and maintenance reflecting current theory and practice.
Prerequisite: Approval of Department
ISE 494 Undergraduate Thesis I
This course is an independent research course for students undertaking the CX in undergraduate research. At thesis requires students to formulate hypotheses and research questions, maintain research integrity and be aware of research misconduct, acquire skills for identifying research gaps in the scientific literature. Students will develop their scientific writing skills to report their preliminary research findings in a research proposal. Such a proposal must be planned and completed under the supervision of a faculty member (advisor), and the advisor’s discretion and department approval, may be reviewed by an additional co-advisor. The student will have to present his/her research plan and hypotheses in the thesis proposal to a committee.
Prerequisite: Approval of the department
ISE 496 Undergraduate Thesis II
This is an independent research course focused on making research contributions and presenting the results in a thesis for students undertaking the CX in undergraduate research. In this course, students will refine their thesis proposal done in the previous thesis course, and work closely with the advisor to demonstrate their research findings over one semester. This requires students to ensure the novelty and originality of the idea., conduct extensive research to validate the main hypotheses and research questions, and develop the skills needed to write the thesis and prepare the research results for the proper venue for possible publication. Students will learn to develop their professional communication skills to defend their thesis in front of a the thesis committee, and possibility to deliver a research presentation in a research symposia.
Prerequisite: ISE 494
ISE 499 Seminars (1-0-0)
The purpose of this course is to raise students' awareness of contemporary issues in their discipline and otherwise. The student has to attend a required number of seminars, workshops, professional societal meetings or governmental agency conferences; at least half of these should address issues in his discipline. The student has to attend a required number of industrial visits.
Prerequisite: Junior Standing