Overall survey of technologies in different areas such as computers, IT, communications, oil and gas, construction and manufacturing. Emphasis of the course on system s approach on addressing problems.
An introduction to and overview of the profession, including career planning, professionalism, ethics and teamwork. Nature of the Industrial Engineer job, Selected areas of IE such as quality, optimization, productivity, process improvement. Industry site visits, industrial speakers, Case studies from IE applications. Prerequisites : MATH 102.
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.
Pre-Requisites: MATH102
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.
Pre-Requisites: (MATH102 Or MATH106) And ICS104
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.
Pre-Requisites: MATH208 Or MATH260 Or MATH202
Introduction to basic costing concepts and behavior, with emphasis on manufacturing optimization through labor and materials cost analysis, operation and overhead cost calculations, product cost estimating, and finally setting product selling price. Study of the principles of costing systems and techniques of analysis and cost control. Emphasis on interpretation and use of costing principles for decision making. Prerequisite: Third year
Unconstrained optimization, necessary and sufficient conditions for unconstrained minima. Derivative-free algorithm. The steepest decent and Newton algorithms. Conjugate gradient and Quasi-Newton methods. Constrained optimization: Karush-Kuhn-Tucker conditions for optimality, algorithms for constrained optimization including SUMT, approximation and methods of feasible directions. Case studies in different engineering discipline. Prerequisite ISE 303
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.
Review for estimation. 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.
Pre-Requisites: ISE205 Or STAT319
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.
Pre-Requisites: ISE315* Or ISE325*
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.
Pre-Requisites: ISE303
Manufacturing methods of metals and plastics including metal casting, forming, machining, welding, and plastic processing. Laboratory experiments and demonstrations in material behavior, forming, casting, welding and machining operations, metrology and dimensional control.
History of Methods Design & Work Measurement. Methods design. Process analysis. Operation analysis. Introduction to human engineering. Standardization. Work measurement. Predetermined motion-time systems. Standard data. Work sampling. Term project. Prerequisites: ISE 205
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.
Pre-Requisites: ISE205 Or STAT319
Review for estimation. 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
Pre-Requisites: ISE205 Or SE205 Or STAT319 Or STAT201
See contents in ISE 351.
Twenty Eight weeks of industrial training approved by the department. The student must submit a comprehensive report on his work during that period.
See contents in ISE 351.
This is a first course in database management systems, teaching database concepts, data modeling and database design. Fundamental database concepts, Relational Data Manipulation, Data modeling, Capturing Business Rules, Normalization, Database system development process, Transaction, Processing, Distributed Processing, Data Warehouses, and Databases on the Web. Concepts and tools will be integrated in a small-group term project by designing and implementing an actual information system. Prerequisites: Junior standing
Introduction to spreadsheet application programming and database applications to make decision support for IE problems. Visual Basic applications programming fundamentals, procedures and functions. User forms, application development. Database design. Normalization in design. Introduction to tables, queries, and forms. Structured query languages. Generating reports. Course project.
Pre-Requisites: ICS103 Or ICS104
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. Prerequisites: Junior standing
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.
Pre-Requisites: (ISE205 Or STAT319) And ENGL214
A 15-week program of industrial training approved by the department. The student must submit a comprehensive report on his work during that period.
Pre-Requisites: ENGL214 And ISE303 And ISE391
An 8-week program of industrial training approved by the department. The student must submit a report on his work during that period. Prerequisite: ENG 214, Junior standing or approval of the department
Pre-Requisites: ENGL214
Elements of functional organization. Forecasting in production systems. Product and process design considerations. Deterministic and stochastic inventory systems. Production scheduling and line balancing. Capacity planning. Material requirement planning (MRP). Computer applications in production control. Case studies and applications.
Pre-Requisites: (ISE303 And (ISE205 Or STAT319) ) Or (MATH106 And OM210 And OM311)
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.
Pre-Requisites: ISE315 Or ISE325
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.
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.
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.
Pre-Requisites: ISE324
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
Pre-Requisites: ISE320
Following topics from operations research with an emphasis on modeling and implementation are covered; integer programming, dynamic programming and nonlinear programming. Implementation using modeling software and spreadsheet is demonstrated on examples and case Studies. Prerequisites: ISE 303
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.
Pre-Requisites: ISE303
Introduction to Queuing Models and Their Applications, Elements and Characteristics of Queuing Models, Single Server queue, Birth Death Processes, M/M/1, M/M/s, M/G/1, Little Law, Priority Queues, Network of Queues. Prerequisite : Senior standing
Deterministic and probabilistic dynamic programming. Stochastic programming. Poisson process. Theory of queues. Markov Chains.
Pre-Requisites: ISE303
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.
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. Prerequisite: Senior level Standing, Instructor approval.
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.
Pre-Requisites: ISE307
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.
Pre-Requisites: ISE205
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.
Pre-Requisites: ISE205
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.
Pre-Requisites: ISE303
The course is in the general area of industrial engineering and operations research focusing on advanced topics. Prerequisite: Senior
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.
Pre-Requisites: ISE447
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.
Pre-Requisites: ISE324
High volume discrete parts production systems. Fundamentals of CAD/CAM. Computers in manufacturing. Computer process monitoring. Systems for manufacturing support. Group technology and integrated manufacturing systems. Case studies for robots in industry. CAD/CAM using computer graphics laboratory. Prerequisite: Junior standing
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.
Pre-Requisites: ISE315 Or ISE325
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.
Pre-Requisites: ISE365 Or ISE361
The scope of occupational safety: Human safety, Environmental safety, Setting safety standard: Safety administration, Legal aspect of industrial safety.
An introduction to data analysis, clustering algorithms, classification algorithms, and R programming language.
Pre-Requisites: ISE205 Or STAT319 Or ME451
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.
Pre-Requisites: ISE402
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.
Pre-Requisites: ISE402 And ISE321
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.
Pre-Requisites: ISE315 Or ISE325
A design course that draws upon various components of the undergraduate curriculum. The project typically contains problem definition, analysis, evaluation and selection of alternatives. Real life applications are emphasized where appropriate constraints are considered. Oral presentation and a report are essential for course completion. The work should be supervised by faculty member(s). Team projects are acceptable wherever appropriate.
Pre-Requisites: (ISE499 Or ISE390) And ISE391
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.
Pre-Requisites: (MATH405 Or ISE315 Or ISE325) And (ICS102 Or ICS103 Or ICS104)
A design course that draws upon various components of the undergraduate curriculum. The project typically contains problem definition, analysis, evaluation and selection of alternatives. Real life applications are emphasized where appropriate constraints are considered. Oral presentation and a report are essential for course completion. The work should be supervised by faculty member(s). Team projects are acceptable wherever appropriate. Prerequisite: ISE 390
A course in an area of operation research reflecting current theory and practice. Prerequisite: Approval of the Department
A course in an area of production and quality control reflecting current theory and practice Prerequisite: Approval of the Department.
A course in an area of reliability and maintenance reflecting current theory and practice Prerequisite: Approval of the Department.
This course is an independent research course for students undertaking the CX in undergraduate research. An undergraduate thesis is a substantive piece of research-oriented creative work demonstrating mastery over the discourse of one semester in professional field. A thesis requires students to formulate the main hypothesis and research questions, maintain research integrity and be aware of research misconducts, and acquire skills of identifying research gaps in literature. Students will develop their scientific writing skills to report their preliminary research findings in a research proposal. Such proposal must be planned and completed under the supervision of a faculty (advisor) and, at the advisor’s discretion and department approval, may be reviewed by an additional co-advisor. Student will have to present to a committee his/her research plan and hypothesis in the thesis proposal. Prerequisite: Approval of the department
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 in previous thesis course and work closely with the advisor to demonstrate their research findings over one semester in a professional field. This requires students to ensure the novelty and originality of the idea, conduct extensive research to validate the main hypothesis and research questions, and have 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 an independent scientific committee and possibly to deliver speech in a research symposia.
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.