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Course Descriptions of the Program of Industrial Engineering-Operations Research (IEOR)

Course Code Course Name Credits
E 500 Graduate Seminar (0+1+0) 0
Presentation of topics of interest in industrial engineering through seminars given by graduate students, faculty and guest speakers.
IE 501 Linear Programming and Extensions (3+0+0) 3
Theory of linear programming; convexity; simplex and algorithmic aspects; duality and sensitivity; computational issues; decomposition and column generation; introduction to integer and nonlinear programming.
IE 502 Graph Theory and Network Flows (3+0+0) 3
Theory and applications of graphs and networks; properties of graphs; Hamiltonian and Eulerian walk problems; Travelling Salesman Problem and variants; design and analysis of shortest path, maximum flow and minimum cost network flow algorithms; matching and assignment; network simplex algorithm
IE 503 Meta Heuristics (3+0+0) 3
Major meta heuristic methods including simulated annealing, tabu search, genetic algorithms and evolutionary computing, neural networks, and fuzzy logic. Hands on experience through various optimization, search and classification problems
IE 504 Stochastic Processes (3+0+0) 3
Poisson and renewal processes; discrete and continuous Markov chains; applications in queueing, reliability, inventory, production, and telecommunication problems; introduction to queueing networks and network performance analysis.
IE 505 Queueing Theory and Applications (3+0+0) 3
Poisson and renewal processes; discrete and continuous Markov chains; applications in queueing, reliability, inventory, production, and telecommunication problems; introduction to queueing networks and network performance analysis.
IE 506 Nonlinear Programming (3+0+0) 3
Review on linear algebra and analysis, convex sets and functions, quadratic programming, descent algorithm, line search, conjugate directions, Newton's method, optimization of nondifferentiable functions, necessary and sufficient conditions for constrained optimization problems, duality theory, penalty and barrier methods, Kuhn-Tucker methods, introduction to semi-infinite and semidefinite optimization, applications.
IE 508 Sequencing and Scheduling (3+0+0) 3
Analysis and solution of sequencing and scheduling problems; complexity theory and computational analysis of sequencing and scheduling algorithms; exact and heuristic solution procedures for single machine problems; scheduling of job shops, flow shops and flexible manufacturing systems; scheduling of parallel processors.
IE 511 Quantitative Models in Supply Chain Management (3+0+0)3
Case study based detailed analysis of various topics in selected supply chain management problems. Risk pooling and production planning under uncertainty, just in time production and push/pull boundary analysis, logistic network design, delayed differentiation, third party logistics. Mixed integer linear programming, stochastic queueing networks, risk analysis.
IE 512 Decision Support Systems (3+0+0) 3
Applications of decision support systems in industrial engineering. Developing and implementing decision support systems using popular database management and spreadsheet software; Microsoft Excel; Visual Basic for Applications (VBA). Project.
IE 513 Theory and Practice of Revenue Management (3+0+0) 3
Single-resource capacity control. Network capacity control. Dynamic pricing. Auctions. Customer behavior and market response models. Estimation and forecasting for revenue management. Applications and implementation of revenue management systems.
IE 522 Facility Logistics (3+0+0) 3
Facilities planning for manufacturing, distribution, and service facilities. Design and operational aspects of material and information flow within facilities to improve productivity and performance. Facility layout, material handling systems, storage systems, sensor applications in inventory tracking and control.
IE 531 Design for Quality and Productivity (3+0+0) 3
Introduction to basic quality control concepts and techniques; economics of reducing variation in service and production environments: loss functions; Response Surface Methodology for process and product optimization. Taguchi concepts and signal to noise ratio; six sigma methodology. Productivity in service sectors such as banking and health care; Data Envelopment Analysis for measuring efficiency
IE 541 Location Analysis (3+0+0) 3
Single and multiple facilities location in discrete and continuous space. Minisum and minimax objectives, p-median, p-center, and covering models. Basic competitive location problems. Applications in production and distribution network design, public service, emergency services, telecommunications, and robotics.
IE 552 Applied Statistics (3+0+0) 3
Advanced topics in statistical decision theory. Review of random variables, their distributions and densities, exponential families of distribution. Overview of techniques in data analysis and mining; study of theories and properties of statistical hypotheses testing and estimation, including maximum likelihood method, likelihood ratio tests, and related topics. Theory of sampling: bootstrapping methodology; techniques for handling missing data.
IE 561 System Dynamics (3+0+0) 3
Modelling and simulation of complex dynamic systems for the purpose of understanding the relation between the system's structure and its dynamic behaviour. Dynamic complexity and bounded rationality. The logic of failure. Learning in and about complex systems. Organisational learning and systems thinking. Continuous time simulation. Feedback and qualitative system dynamics. Modelling with stock-and-flow diagrams. Modelling methodology. Time delays, coflows, modelling of nonlinear systems. Model verification and validation.
IE 580 Term Project Kredisiz
In depth study of an industrial engineering/operations research topic by M.S. students in the non-thesis option under the guidance of a faculty member.
IE581–589 Special Topics in Industrial Engineering I- IX (3+0+0) 3
Study of special topics choosen among the recent technological or theoretical developments in Industrial Engineering.
IE 590 M.S. Thesis (Yüksek Lisans Tezi) NC
Preparation of a M.S. thesis by students of the M.S. program with thesis option under the guidance of an academic advisor.