Course Catalogue of Industrial Engineering MSc. Program Fall Semester Courses Provided by Adana STU Industrial Engineering Department 1 IE-501 Data Structures and Algorithms (3-0-0) 6 Recursion, Generics, Lists, Stacks, Queus, and Priority Queues, Sets and Maps, Developing efficient Algorithms, Sorting, Implementing Lists, Stacks, Queus, and Priority Queues, Binary Search Trees, AVL Trees, Hashing, Graphs and Applications, Weighted Graphs and Applications, 2-4 Trees and B-Trees, Red-Black Trees. 1 IE-503 Discrete Mathematics (3-0-0) 6 The basics of mathematics, Compound Statements, Quantified Statements, Number Theory and Methods of Proof, Sequences, Mathematical Induction, and Recursion, Set Theory, Functions, Relations, Counting and Probability, Graphs and Trees, Analysis of Algorithm Efficiency, Regular Expressions and Finite-State Automata. 1 IE- 505 Multiple Objective Decision Making (3-0-0) 6 Introduction to optimization with multiple criteria, The Weighted Sum Method, Scalarization Techniques, Nonscalarizing Methods, Multicriteria Linear Programming, Multiobjective Simplex Method, Multiobjective Combinatorial Optimization. Course Book: Ehrgott, M., Multicriteria Optimization, 2nd Ed.,Springer, ISBN 978-3-54027659-3 IE- 507 Statistics I (3-0-0) 6 Introduction to the field of statistics and how engineers use statistical methodology as part of the engineering problem-solving process. Treatment of statistical methods with random sampling; data summary and description techniques. Sampling distributions, the central limit theorem, and point estimation of parameters. Important properties of estimators, the method of maximum likelihood, the method of moments, and Bayesian estimation. Intervals for means, variances or standard deviations, proportions, prediction intervals, tolerance intervals. Hypothesis tests for a single sample, tests and confidence intervals for two samples. Course book: Montgomery D.C., Applied Statistics and Probability for Engineers, Wiley, 5th Edition, 2011. 1 IE- 509 Project Planning and Control (3-0-0) 6 The topics include the concept of project and project management, the classification of project, time scheduling (Gantt charts, definitions PERT and CPM, difference PERT and CPM), networks ( the rules of drawing network, activity on arc and activity on node), critical path (finding a critical path and critical activity), PERT ( difficulties of PERT and PERTs calculations), project resource planning( defination and methods). Course Book: Wçglarz, J., Project Scheduling: Recent Models, Algorithms, and Applications, Kluwer, 1999. 1 IE-511Time Series Analysis and Forecasting Techniques (3-0-0) 6 Introduction to forecasting, examining statistical concepts, examining data structures and selection of specific forecasting technique, moving average and smoothing techniques, time series and components, simple linear regression, multiple regression analysis, time series data and regression analysis, box-jenkins (ARIMA) methodology, management of forecasting process. Course Book: Brockwell, P.J., Introduction to Time Series and Forecasting, Springer, 2nd Edition, 2010
1 IE-513 Managerial Decision Modeling (3-0-0) 6 An Introduction to most commonly used OR/MS techniques and shows how these tools can be implemented using Microsoft Excel. In this respect, the course topics cover computer based implementation of deterministic modeling and stochastic modeling techniques. Course Book: Ragsdale, C., Managerial Decision Modeling, South Westerm College, International Edition, 2007. 1 IE-515 Statistical Data Analysis (3-0-0) 6 Basic statistical definitions and parameters, random sampling, probability distributions, basic sampling distributions, Confidence interval-interval estimation, hypothesis thesis, chi-square test, goodness-of-fit tests, independence tests, least squares method, linear regression, multiple linear regression, nonlinear regression, Analysis of variance-anova, nonparametric statistics. Course Book: Montgomery D.C., Applied Statistics and Probability for Engineers, Wiley, 5th Edition, 2011. 1 IE-517 Simulation Modeling and Analysis (3-0-0) 6 Definition and classification, random events and statistical analysis, simulation modelling techniques, simulation of manufacturing and service systems, determining distributions: hypothesis testing, simulation of inventory systems, number of runs in simulation, truncation algorithms, management games, simulation of maintenance systems, intelligent simulation (artificial intelligence and simulation), simulation packages, applications and exercises with visual simulation (Arena, ProModel, Simio) Course Book: Robinson, S., Simulation: The Practice of Model Development and Use, John Wiley & Sons, 2004. 1 IE-519 Modeling and Optimization (3-0-0) 6 Modelling of Mathematical Programming Problems, Graphical Solution Methods, Simplex Method, Sensitivity Analysis, Goal Programming, Integer Programming, Network Models, Minimum spanning tree problems, Maximum flow problem, Transportation Model, Assignment Model, Introduction to Nonlinear Programming. Course Book: Arora J.S., Introduction to Optimum Design, 3rd Ed.,Academic Press, ISBN 978-0-12-381375. 1 IE- 521 Risk Management (3-0-0) 6 The topics include definitions of risk (types of risks, risk descriptions, inherent level of risk, risk classsification systems), impact of risk on organizations (risk importance, impact of hazard risk), development of risk management (origins of risk management, specialist areas of risk management), principles and aims of risk management, project risk management (introduction to project risk management, development of project risk management). Course Book: Frame, J.D., Managing risk in organizations, Wiley, 2003. 1 IE-523 Performance Analysis of Manufacturing Systems (3-0-0) 6 The design and performance issues in production, transfer lines, production/inventory systems, network of production/inventory systems, and flexible manufacturing systems. Phase type processing times, failures and service completion processes. Buffering and blocking issues. Decomposition methods. Control policies in pure inventory and production/inventory systems. Course Book: Modeling and Analysis of Manufacturing Systems. Ronald G. Askin, Charles R. Standridge, Wiley.
1 IE-525 Service Operations Management (3-0-0) 6 This course will emphasize the use of optimization, stochastic processes and queuing to address problems in growing service industries. The topics will be related to location problems in services, short and long term workforce problems, inventory in services, health and emergency services, and call centers. Course Book: Service Science. Mark Daskin, Wiley, 2010. And Lecture notes. 1 IE-591 Special Area Course ( 0-4-0) 4 1 IE-593 Special Area Course ( 0-4-0) 4 1 IE-597 MSc Seminar (NC) (0-0-0) 3 Presentation of the thesis results to the Supervisor. 1 IE-595 MSc. Thesis (NC) (0-0-0) 26 Discussion and interpretation of the MSc. Thesis with the Supervisor Fall Semester Courses Provided by CU Industrial Engineering Department 1 EM- 503 Design of Experiments for Engineers (3-0-0) 6 Simple comparative experiments. Experiments with a single factor. analysis of variance. randomized blocks, latin squares and related designs. factorial designs. the 2k factorial design. blocking and confounding in the 2k factorial design. two-level fractional factorial designs. three-level and mixed-level factorial and fractional designs. factorial experiments with random factors. nested and split-plot designs. Instructor: Prof. Dr. Rızvan EROL 1 EM-521 Strategic Management (3-0-0) 6 This course explores two central themes - the determination of a firm's strategic direction and the management of the strategic change. The course addresses the role of general manager, sources of competitive advantage, differences in business and corporate-level strategy, managing strategic change and the development of general managers. Instructor: Assoc. Prof. Oya H. YUREGIR 1 EM- 527 Electronic Commerce (3-0-0) 6 Changes in business proceses and organizations enabled by electronic commerce technologies and applications. developing a stategic understanding of the new electronic marketplace based on fundamental economics of the digital economy. Definitions of EC. Economics of the digital economy. types of EC; technological, legal and organizational infrastructure of EC (EDI, crytography, digital signature, the Internet, intranet, extranet, etc.). the role players of EC; discussion and evaluation of EC technologies: (EDI), point of sale systems (POS), electronic funds transfer (EFT). case studies of the application of EC techniques in retail, manufacturing and service industries; the relevance of EC to just-in-time, vendor managed inventory, evaluated receipt systems and other supply chain reforms. Instructor: Assoc. Prof. Oya H. YUREGIR 1 EM-551 Discrete Optimization (3-0-0) 6 Modeling with integer variables, enumeration and cutting plane methods, decomposition algorithms, branch and bound methods, computational complexity and software issues, special combinatorial optimization problems, parallel algorithms for integer programming. In addition, selected case studies will be presented by students. Instructor: Assist. Prof. Melik KOYUNCU
1 EM-511 Mathematical Modeling and Optimization (3-0-0) 6 Nonlinear programming. KKT conditions. Quadratic Programming. Separable programming. Convex programming. Nonconvex programming. Special types of LP models. Other algorithms for LP. The dual simplex method. Parametric LP. Instructor: Assoc. Prof. Ali KOKANGUL Spring Semester Courses Provided by Adana STU Industrial Engineering Department 2 IE- 504 Fuzzy Logic (3-0-0) 6 Introduction to Fuzzy Logic, Classical Sets and Fuzzy Sets Concepts, Classical Relations and Fuzzy Relations, Membership Functions and Properties of Membeship Functions, Determination Methods of Membership Functions, Fuzzy Arithmetic, Fuzzy Control Systems, Fuzzy Clustering, Fuzzy Linear Regression, Fuzzy Decion Making Techniques. Course Book: Ross, T.J., Fuzzy Logic with Engineering Applications, 2nd Ed., John Wiley & Sons, ISBN 0-470-86075-8. 2 IE- 506 Statistics II (3-0-0) 6 Simple and multiple linear regression including model adequacy checking and regression model diagnostics and an introduction to logistic regression. Single- and multifactor experiments. The notions of randomization, blocking, factorial designs, interactions, graphical data analysis, and fractional factorials are emphasized. Statistical quality control chart and fundamentals of statistical process control. Course book: Montgomery D.C., Applied Statistics and Probability for Engineers, Wiley, 5th Edition, 2011. 2 IE- 510 Applied Optimization (3-0-0) 6 Fundamentals of Optimization and Introduction to MATLAB Programming, Graphical Optimization, Linear Programming, Nonlinear Programming, Numeric Methods for One Dimensional Problems, Numeric Methods for Unconstrained Optimization, Numeric Methods for Constrained Optimization, Discrete Optimization, Global Optimization Course Book: Venkataraman, P., Applied Optimization With MATLAB Programming, 2nd Ed., John Wiley & Sons, ISBN 978-0-470-08488-5. 2 IE- 512 Metaheuristics (3-0-0) 6 The topics include basic heuristic constructs (greedy, improvement, construction), meta heuristics such as tabu search, simulated annealing, genetic algorithms, ant colony optimization, particle swarm optimization and their hybrids. The aims of the course are to understand the usage objective of metaheuristics and their operations, to produce a solution to a problem according to the problem characteristics by appropriate metaheuristics. Course Book: Talbi, E.G., Meta-Heuristics from Design to Implementation, Wiley, 2009. 2 IE-514 Quality Engineering (3-0-0) 6 The topics include definition of quality, dimension of quality, statistical process control, control charts, phase I control charts, variable control charts( X, R, MR charts), attribute control charts, Phase II control charts, CUSUM, EWMA, Moving Average Control charts, Acceptance Sampling, Operating characteristic Curves, Computer Application of Quality.
2 IE-516 Experimental Design (3-0-0) 6 Basic design for scientific and industrial experiments: single-factor, and multiple-factor, completely randomized designs, randomized blocks, incomplete blocks, general regression approach, Latin squares, use of statistical packages. Course Book: Design and Analysis of Experiments. Montgomery D.C.,Wiley. 2 IE- 518 Operations Management (3-0-0) 6 The topics include production systems, operations management functions, production planning, inventory management, design of goods and services, process and product strategies, capacity planning, location analysis, and layout strategies. Course Book: Stevenson, W.J., Operations Management, McGraw-Hill, 2009. 2 IE-520 Object Oriented Programming (3-0-0) 6 Fundamentals of Programming, Objects and Classes, Object-Oriented Thinking, Inheritance and Polymorphism, Exception Handling and Text I/O, Abstract Classes and Interfaces, Binary I/O. Course book: Instructor Notes 2 IE-522 Queuing Systems (3-0-0) 6 Classification of queueing systems. Markov processes in discrete and continuous time. Birth and death processes. Markov queueing systems M/M/k/m. Little's formula. Bulk arrival and service systems. Non-Markov queueing systems. Semi-Markov processes. System M/G/1/ oo (stationary regime, Pollaczek-Kninchin formula, waiting time and busy period). Systems G/M/1/ oo and G/G/1/ oo. Jackson's type queueing networks, balance equations, stationary distribution. Approximate methods in queueing models. Application in manufacturing, computer networks, information systems and simulation. Course Book: Queueing Networks and Markov Chains. Gunter Bolch, Stefan Greiner, Hermann de Meer, Kishor S. Trivedi, 2006, Wiley, 2 IE-524 Supply Chain Management Supply Chain Performance, Supply Chain Drivers and Metrics, Network Design in the Supply Chain, Designing Global Supply Chain Networks, Demand Forecasting in a Supply Chain, Aggregate Planning in a Supply Chain, Planning Supply and Demand in a Supply Chain, Coordination in a Supply Chain, Planning and Managing Inventories in a Supply Chain. 2 IE-590 Special Area Course ( 0-4-0) 4 2 IE-592 Special Area Course ( 0-4-0) 4 2 IE-594MSc Seminar (NC) (0-0-0) 3 Presentation of the thesis results to the Supervisor. 2 IE-596 MSc. Thesis (NC) (0-0-0) 26 Discussion and interpretation of the MSc. Thesis with the Supervisor. Spring Semester Courses Provided by CU Industrial Engineering Department 2 EM-518 Database Management and Decision Support Systems (3-0-0) 6
The objectives of this course are to: (1) teach principles of database design and manipulation, (2) explore the complicated issue of effective software support for many structured and semi-structured business decision problems. Topics include: conceptual, logical and physical database design; data dictionary; relational modeling; decision-support systems. Instructor: Assoc. Prof. Oya H. YUREGÍR 2 EM- 520 Distribution and Inventory Management (3-0-0) 6 Review of inventory management. Independent demand systems (deterministic models, stochastic models). Discrete demand systems (deterministic models). Single order systems. Dependent demand systems (Material Requirements Planning) In-process inventory. Distribution inventory systems. Aggregate inventory control. Instructor: Assoc. Prof. Ali KOKANGÛL 2 EM-542 Integrated Product and Process Design (3-0-0) 6 Product design, Service design, Identifying customer needs, Product or service Specifications, Team experience in design projects, Concept Generation, Concept Selection, Concept Testing, Industrial Design, Rapid Prototyping systems, Product Development optimization, Concurrent engineering, Reverse engineering, Quality function deployment for product design Process design and selection. Instructor: Assoc. Prof. Ali KOKANGÛL 2 EM-546 Statistical Quality Control (3-0-0) 6 Introduction to quality concepts. Fundamental statistics required for quality. Statistical methods for quality improvement. Data analysis. Pareto analysis. Cause-and-effect diagrams. Histograms and scatter diagrams. Control charts and sampling methods. Review of statistical packages for Quality (SPSS, MINITAB, S-plus, Statistica). Instructor: Prof. Dr. Rizvan EROL 2 EM-548 Technology Management and Transfer (3-0-0) 6 This course involves a multi-disciplinary perspective drawing on organization, communication and information technology. Since technology transfer means the application of knowledge via some type of channel, the roles of industry, academia and government in this channel will be discussed. The topics are: models of TT, research consortia, technology and competitiveness, techno parks and techno polis. Instructor: Assoc. Prof. Oya H. YUREGÍR 2 EM-550 Stochastic Processes (3-0-0) 6 Definition of a stochastic process, finite dimensional distributions of stochastic processes, construction of stochastic processes with predefined finite dimensional distributions, Kolmogorov's theorem on the existence of random processes, construction of a Markov process with given transition probabilities, processes with stationary and independent increments, random walks, renewal theory. Instructor: Assist. Prof. Melik KOYUNCU