<h4>IE 3011 Product Design and innovation 2(2,1,1)</h4>
<h4>Introduction to manage innovation: Idea generation, use of scientific and technical knowledge to build product ideas. Product specification and quality Standardization of product. Product structure and components Implementing prototype metrologies. Reverse engineering process and procedures & prototyping.</h4>
<h4>Prerequisites: IE 3391 Co-Requisite: IE 3601</h4>
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<h4>IE 4051 Manufacturing Cost Analysis 3(3,1,0)</h4>
<h4>Principles, concepts and the importance of manufacturing cost analysis and estimating. Manufacturing labor cost analysis: Gross hourly labor cost analysis. Manufacturing materials cost analysis. Materials cost policies. Accounting analysis- overhead calculations. Operation cost estimating. Product cost estimating: Product pricing, Production Budgeting and Performance Reports. Engineering contracts.</h4>
<h4>Prerequisites: GE 4010</h4>
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<h4>IE 4621 Industrial Information Systems 2(2,1,1)</h4>
<h4>Introduction to computers and information processing. Management Information Systems in the enterprise. Managing hardware and software assets. Telecommunication and networks. Understanding the business value of systems and managing change. Systems analysis and design. Data base management systems. Introduction to e-business and e-commerce. Decision support and expert systems. Internet security.</h4>
<h4>Prerequisites: IE 3141</h4>
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<h4>IE 4381 Engineering Reliability 3(3,1,0)</h4>
<h4>Introduction to the concept of reliability. Failure distributions: Constant Failure Rate Model, Time-Dependent Failure Models. Reliability of systems. State-Dependent systems. Introduction to maintenance function, maintenance function objectives and the types of maintenance programs. Maintenance workload analysis. Maintenance resources planning. Maintenance works scheduling Maintenance audit and control. Advanced topics in maintenance. Computerized maintenance management systems (CMMS); MAXIMO Software.</h4>
<h4>Prerequisites: IE 3141</h4>
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<h4>GE 3021 Industry and the Environment 2(2,1,0)</h4>
<h4>This course gives an introduction to the impact of the engineering and industrial activities on the environment. The lectures cover basics in environmental balance, types of pollution, and types, sources, limits of pollutants, Pollution control technologies, and examples of pollution from various engineering and industrial disciplines are also covered.</h4>
<h4>Prerequisites: None</h4>
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<h4>IE 3231 Decision Analysis 3(3,1,0)</h4>
<h4>Principles of decision making under uncertainty. Decision models: influence diagram and decision tree. Solution and analysis of decision problems. Value of information. Attitudes towards risk. Utility theory. Multi-attribute decision problems.</h4>
<h4>Prerequisites: GE 3201, GE 4010</h4>
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<h4>IE 3341 Industrial Stochastic Systems 3(3,1,0)</h4>
<h4>Basic review of probability. Deterministic and stochastic processes. Poisson process and related distributions. Birth and death processes. Markov processes with continuous state space. Renewal process and theory. Markovian decision processes in industry. Markovian and non-Markovian systems. Stochastic models of engineering applications. Introduction to simulation modeling of stochastic systems.</h4>
<h4>Prerequisites: GE 3201</h4>
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<h4>IE 4231 Queuing systems 3(3,1,0)</h4>
<h4>Characteristics of queuing systems. General arrival and service patterns. Poisson process and Erlangian models. Birth and death processes in queuing systems. Markovian and non-Markovian queuing models. Steady state and transient solutions. Optimization in queuing systems. Queuing applications in production, transportation, communication and public service systems.</h4>
<h4>Prerequisites: GE 3201</h4>
<h4><br>
IE 3151 Dynamic Forecasting 3(3,1,0)</h4>
<h4>Time series and forecasting. Forecasting accuracy. Monitoring and controlling forecasts. Linear and multiple regression with forecasting applications. Box-Jenkins (ARIMA) methodology. Introduction to fundamental and technical analysis with applications in financial markets. Introduction to neural networks. Judgmental forecasting.</h4>
<h4>Prerequisites: GE 3201</h4>
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<h4>IE 3291 Maintenance and Replacement Policies 3(3,1,0)</h4>
<h4>Maintenance systems. Maintenance operation and control. Preventive Maintenance: concepts, modeling, and analysis. Maintenance planning and scheduling. Maintenance material control. Computerized Maintenance Management Systems. Replacement studies. Case studies.</h4>
<h4>Prerequisites: GE 3201, IE 3141 </h4>
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<h4>IE 4371 Material Handling and Packaging 3(3,1,0)</h4>
<h4>Historical development of material handling and packaging. Objectives and principles of material handling. Material handling concepts: unit load, containerization, ASRS. Types of material handling equipment and their economics. Role of packaging in material handling. Areas of special importance to packaging. Package design. Economics of packaging. Package research and testing. Management of the packaging function.</h4>
<h4>Prerequisites: GE 3201, IE 3141</h4>
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<h4>IE 3351 Productivity Engineering and Management 3(3,1,0)</h4>
<h4>Introduction to productivity, productivity factors, measurement of productivity, planning for productivity, total productivity model, product base productivity improvement, employer based productivity improvement, productivity improvement programs.</h4>
<h4>Prerequisites: IE 3391, IE 3141</h4>
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<h4>IE 4721 Sequencing and Scheduling 3(3,1,0)</h4>
<h4>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.</h4>
<h4>Prerequisites: IE 3521, IE 3221</h4>
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<h4>IE 4241 Optimization Methods 3(3,1,0)</h4>
<h4>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.</h4>
<p><strong>Prerequisites:</strong> IE 3221</p>
<h4> </h4>