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All courses and course definitions of the Department of Industrial Engineering may be seen under the undergraduate and/or graduate catalogue pages of Boğaziçi University. The link indicated below provides the most recent information about new courses or changes in course titles, definitions or credits as accepted by the university senate.

Undergraduate Catalogue

IE COURSE DESCRIPTIONS

:: IE 120 Industrial Engineering: Overview and Orientation (1+1+0) 1 P/F

Introduction and orientation to IE: concepts and approaches; illustrations of main methods and applications presented by a series of lectures given by IE faculty; overview of departmental laboratories, basic information technologies, and software including mathematical packages and web-based applications.

:: IE 201 Intermediate Programming (2+0+2) 3

Introduction to object-oriented analysis and design: data encapsulation, inheritance, polymorphism, software engineering methodologies, UML; introduction to C++ programming language: class, inheritance, polymophism, basic input/output, operator overloading, exception handling, templates; fundamental data structures: array, list, tree, binary tree; fundamental algorithms: searching, sorting, recursion.

Prerequisite: CmpE 150 or equivalent.

:: IE 202 Operations Research I: Linear Models (3+0+2) 4

Modelling concepts; linear programming; problem formulation; simplex and dual simplex methods; duality and sensitivity analysis; transportation, transshipment and assignment problems; integer programming; cutting plane algorithms and branch and bound techniques.

Prerequisite: Math 201 or equivalent.

:: IE 255 Probability for Industrial Engineers (3+0+0) 3

Basic topics in probability theory; sample space, probability, and conditional probability; random variables, marginal, joint and conditional distributions; expectations and conditional expectations; hypergeometric, binomial, geometric distributions and their implications in IE/OR; Poisson, exponential, Erlang, gamma distributions and the Poisson arrival model; moment generating functions and Laplace transforms; law of large numbers, central limit theorem, and the Normal distribution; numerical and computational aspects of random variable generation.

:: IE 256 Statistics for Industrial Engineers (3+0+0) 3

Basic topics in parametric statistics; estimation, confidence intervals, and hypothesis testing; analysis of variance, regression and correlation analysis; goodness of fit tests; application in statistical quality control, demand forecasting, and other IE/OR topics; elementary design of experiments and data collection; computer implementations using available up-to-date statistical software.

Prerequisite: IE 255 or equivalent.

:: IE 303 Operations Research II: Nonlinear Models (3+0+2) 4

Nonlinear programming; optimization in one variable, convexity, unconstrained and constrained optimization in many variables, Kuhn-Tucker optimality conditions, direct search and gradient methods; computational complexity; major heuristic approaches: simulated annealing, neural networks, tabu search, genetic algorithms.

Prerequisite: IE 202 or equivalent.

:: IE 304 Operations Research III: Stochastic Models (3+0+2) 4

Dynamic programming; introduction to stochastic processes; queueing models; reliability models; Markov decision processors; value iteration method; successive approximations and policy improvement algorithms; maintenance and reliability models; game theory.

Prerequisite: IE 255 or equivalent.

:: IE 306 Systems Simulation (3+0+2) 4

Basic concepts of discrete-event simulation modeling/analysis. Event-scheduling versus Process-interaction approach. Random number and random variate generation; inverse transformation and other selected techniques. Input data analysis and goodness of fit tests. Specific computer simulation languages. Analysis of simulation output and model validation.

Prerequisite: IE 256 or equivalent.

:: IE 310 Operations Research (3+0+2) 4

Economics and engineering decisions; principles of decision theory; generation and evaluation of alternatives; unconstrained and constrained optimization; duality and sensitivity analysis; application of LP; network models; simulation; case studies.

Prerequisite: MATH 251 or equivalent.

:: IE 312 Facilities Design and Planning (3+0+2) 4

Nature and classification of production systems. Product design. Forecasting methods; simple linear regression, moving average and exponential smoothing methods. Capacity requirements planning. Design of discrete production systems: product–based layout and assembly line balancing; process-based layout and design of work stations; group technology and cell design; material handling and storage systems. Facility location; discrete and continuous space location models.

Prerequisite: IE 255 or equivalent; IE 202 or equivalent.

:: IE 320 Materials and Processes in Manufacturing (2+0+2) 3

Review of engineering materials (metals, ceramics, polymers) casting and forming processes (casting, powder forming, hot working, cold working); machining processes (shaping and planing, drilling and reaming, turning, boring and milling, abrasive machining, chipless machining); welding processes; processes and techniques related to manufacturing; case studies.

Prerequisite: ME 210 or equivalent.

:: IE 341 Engineering Economy (3+0+2) 4

Economic analysis for engineering decision making; the finance function in an industrial enterprise, time value of money; basic interest formulas; annual cost comparison; present value analysis; rate of return; depreciation and taxes; multiple alternatives; mathematical models for equipment replacement; introduction to decision analysis; concepts of cost engineering.

:: IE 413 Supply Chain Management (3+0+2) 4

Fundamentals of supply chain management and enterprise resources planning (ERP); aggregate production planning: static, dynamic, nonlinear and lot sizing models; operations scheduling: flow shops and job shops; materials management and materials requirement planning (MRP); capacity resources planning (CRP); distribution system management; implementation of manufacturing management strategies.

Prerequisite: IE 312 or equivalent.

:: IE 414 Computer Integrated Manufacturing Systems (2+0+2) 3

Fundamentals of CIM and automation; CAD/CAM, numerical control manufacturing systems; Robotics, Flexible manufacturing systems; lab assignments on automation technologies such as CAD/CAM, robotics, FMS design and simulation etc.

Prerequisite: IE 306 or equivalent.

:: IE 420 Operations Research Modeling Applications (2+0+2) 3

Overview of optimization, simulation, stochastic and multiobjective models; various application areas, underlying assumptions, and critical technical considerations of optimization models; typical implementation problems, practical points and obstacles encountered in applying operations research models to real life problems.

Prerequisite: IE 202 or IE 310.

:: IE 423 Quality Engineering (2+0+2) 3

Principles of quality control systems; process control concepts; specification and tolerances; process capability studies; control charts; acceptance sampling plans; cost aspects of quality decisions; quality improvement programs; quality information systems.

Prerequisite: IE 256 or equivalent.

:: IE 424 Exploratory and Graphical Methods for Data Analysis (2+0+2) 3

Portraying and comparing distributions, quantile plots, box plots, stem and leaf diagrams; transformations; smoothing; multivariate data, scatter plot matrices, Kleiner-Hartigan trees, Chernoff faces, star diagrams, glyphs; developing regression models, outlier detection, partial residual plots, Cp plots; ridgssion; robust regression.

Prerequisite: IE 256 or consent of the instructor.

:: IE 430 Ergonomics and Human Factors Engineering (3+0+1) 3

Principles of ergonomics and human factors; their applications to the design and management of industrial systems. Human performance; human-technology interaction; job, work environment and product design; occupational safety and health. Methods development, work measurement and work standards. Productivity and quality improvement; cost reduction. Industrial applications.

Prerequisite: IE 256 or consent of the instructor.

:: IE 441 Planning for Engineers (3+0+1) 3

Analysis of the planning process. Multiple objective and goal programming; the efficient frontier. Data Envelopment Analysis. Project Management; critical path based methods; random activity times; mathematical programming formulation; renewable and non-renewable resource constraints; risk analysis. Case studies.

Prerequisite: IE 202 or equivalent.

:: IE 443 Engineering Investment Decisions (2+0+2) 3

Description of the organization and management, market study, choice of production capacity, project engineering, cost and revenue estimation, financing and preparation of financial tableaus, economic analysis, case studies.

Prerequisite: IE 341 or consent of the instructor.

:: IE 452 Human Resources Management (3+0+0) 3

Human capital concept; people, productivity and the quality of working life; evaluation of human resources management; legal and social contexts of personnel decisions; analyzing and designing jobs; determining human resources requirement; recruiting; screening and selecting employees; orienting and training employees; identifying and developing management talent; appraising employee performance; managing careers; compensation management; assessing the costs and benefits of personnel activities; international dimensions of human resources management.

:: IE 480-489 Special Topics in Industrial Engineering (3+0+0) 3

Special topics in Industrial Engineering selected to suit research interests of the faculty.

:: IE 490, 493-499 Special Studies (3+0+0) 3

Special topics in Industrial Engineering selected to suit the interests of the individual students. The course is designed to give student an opportunity to do independent work at an advanced level.

:: IE 491 Special Projects ((1-3)+0+0) 3

Design or research projects will be the main topics. Students with special interest and qualifications may he permitted to take this course.

:: IE 492 Project (0+0+8) 4

Listed under Engineering Core Courses.

 

Last Update: September 17, 2009





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Designed by Özgür Emre Sivrikaya (IE sophomore student)