Contents of Graduate Courses:

EM 500 Master of Science Theses: Program of research leading to MSc degree, arranged between student and a faculty member. Students register to this course in all semesters starting from the beginning of their third semester while the research program or write-up of thesis is in progress.

EM 501 Linear Optimization: Linear programming in matrix form. The revised, dual, and primal-dual simplex methods. Bounded variables. Duality and sensitivity analysis. The transportation and assignment algorithms. Basic concepts of decomposition.

EM 502 Discrete Optimization: The linear minimal cost flow problem and its solution by the network simplex algorithm. Maximal flow, shortest route and circulation problems. The integer programming problem and its solution by branch and bound and decomposition methods. Lagrangian relaxation.

EM 503 Nonlinear Optimization: Review of convex sets and functions. Local and global optima. Basic methods of constrained optimization. Lagragian duality.

EM 504 Large Scale Optimization: Decomposition, partitioning and compact inverse methods to deal with large and sparse optimization. Special structures such as Leontief substitution systems, production-inventory models. Simplex method with upper bounds and generalized upper bounding. Constraint relaxation methods. Branch and bound and Bender's partitioning methods to solve mixed integer linear programs.

EM 505 Multiobjective Decision Making: Formulation of the general multiobjective programming problem, classification of multiobjective programming methods; generating techniques, preference oriented methods, multiple-decision-maker methods. Multiobjective analysis of certain problems in public sector.

EM 506 Project Scheduling and Network Theory: Introduction to graph theory; shortest path and related algorithms; network flow algorithms; matching and covering algorithms; traveling salesman problem and extensions; Chinese postman problem and extensions; problems of location on a network; stochastic network.

EM 507 Decision Analysis: Bayesian decision models; decision trees; value of information; utility theory, use of judgmental probability, study of strategies; economics of sampling; risk sharing and decisions; implementation of decision models.

EM 508 Research Methods: It is aimed to improve the students’ ability of thinking and studying scientifically and make them able to use the scientific method by staying away from every sort of prejudice at their studies and researches by this lesson. Method information, which will be able to carry on a research in scientific discipline and reach the conclusion, is given with this aim. Within this scope; the subjects, Information and Its Source, Definition of Science, Its Function and Sorts, Definition of Scientific Method and Its Basic Qualities, Definition of Research, Its Sorts and Qualities, Research Proposal and Report Preparation are discussed. Research subject is also examined in details and studied under the title of The Process and The Techniques of The Research as Introduction, Method, Findings and Interpretation, Abstract, Judgement and Proposals. In the Introduction part; Problem, Objective, Importance, Hypothesis, Restraint and Definitions, in the Method part; Research Model, Universe and Sample, Data and Their Collection, Handling, Solution and Interpretation of Data take place. In a research, content of Findings and Interpretation, Abstract, Judgement and Proposals and ‘how they should be written’ are discussed. Forming Bibliography, Indicating Bibliography, Techniques of Quotation are studied. Discussion of a Research Proposal and a Thesis Proposal which will be prepared by the students. In a scientific article, Title, Authors and their Addresses, Introduction, Short Summary, Material and Method, Conclusions, Writing of Acknowledgement, Forming of the Bibliography and Attribution to the Resources are discussed. How Scanning/Evaluation Article will be written is studied.

EM 510 Simulation Modeling and Analysis: Simulation methodology, model formulation, systems dynamics, overview of simulation languages, generating random variates, output data analysis, model validation, variance reduction techniques, experimental design and optimization.

EM 511 System Theory: Analysis of linear continuous systems; controllability, observability, and stability; applications to physical, ecological, and socio-economic systems; control systems; introduction to optimal control.

EM 512 System Modeling: Systems concepts; basic quantitative techniques used in systems approach; use of computers in modelling, industrial dynamics, econometric modelling; case studies on selected large scale systems.

EM 513 Dynamics of Socio-Economic Systems: The course uses computer simulation as an experimental platform to study and analyze the dynamics of socio-economic problems. The course has two broad objectives: The first one is to learn dynamic systems approach and systems simulation as a methodology to study and understand complex, dynamic socio-economic problems. Students will learn the concepts of stocks and flows, negative and positive feedback loops, structure and causal-loop diagrams and various typical behavior patterns. The second objective of the course is to expose the students to a variety of real socio-economic case studies and demonstrate how systems approach and simulation can be used to tackle such problems. A system simulation software will be heavily utilized through the course.

EM 515 Artificial Intelligence Expert Systems and Decision Support Systems: Introduction to artificial intelligence. Knowledge representation using formalized symbolic logic, dealing with uncertainities and inconsistencies, structured knowledge. Knowledge acquisition, organization and expert systems. Intelligent decision support systems: integration of DSS, DBMS and ES.

EM 521 Statistical Decision Making: Order statistics and related distributions; sufficiency and related theorems; point estimation, criteria for selecting estimators, methods of estimation; Neyman Pearson theory; likelihood ratio tests; Bayes and minimax procedures; sequential procedures; confidence estimation; general linear hypothesis; analysis of variance; non-parametric statistical inference.

EM 522 Stochastic Processes: Probability spaces and classification of stochastic processes. Markov chains with discrete and continuous parameter spaces; characterization and limiting behavior. Birth and death processes and their application to queuing theory.

EM 523 Advanced Stochastic Processes: Limiting behavior and potentials of Markov chains; Markov processes and infinitesimal generators; renewal theory and regenerative processes; Markov renewal processes; Brownian motion and its sample path analysis.

EM 525 The Design and Analysis of Experiments: The way in which information is used in inference making will be discussed by covering linear statistical models, multiparameter hypotheses, incomplete block designs. Random and mixed models.

EM 526 Inventory Control Theory: Description and characteristics of inventory models; deterministic economic lot size models; stationary stochastic inventory models; optimal single period.

EM 531 Production Systems Analysis: State-of -the-art tools for gaining perspective in management and control of manufacturing function in organizations supported by case studies. An evaluative treatment of materials management, master production scheduling and production planning from a bottom-up perspective. Material Requirements Planning (MRP) versus Just-in -Time (JIT) implementations. Optimized Production Technology (OPT). Differences in make-to-order and assemble-to-order production settings. Computer support, system conversion and integration issues in manufacturing planning and control.

EM 532 Production Planning and Scheduling: Analysis of some specific problem areas within the context of planning and scheduling of production activities. Definition, formulation and available solution procedures for aggregate planning, lot sizing. Scheduling in manufacturing systems, scheduling in service systems, design and operation of scheduling systems.

EM 534 Modern Production Systems: Turning the already existing production systems lies in the basis of factories could be the most important solution for the firms to stay on their feet in the computetive environment in time. This course including vital subjects, systems design and adaptation to the firms, preserving flexibility in dynamic and changing production systems targets to give students deep information about production systems

EM 536 Advanced Production Systems: Impact of computer aided design and manufacturing on production planning; data base for manufacturing; classification and coding; manufacturing information systems; computer aided process planning; operations research models in assembly lines, automated flow lines, group technology, and flexible manufacturing systems.

EM 538 Man-Machine Information & Control Systems : Displays and controls. Human decision making process. Information theory. Human communication essentials. Cybernetics. Control systems. Behavioral control theory. 

EM 540 Quality Engineering: Introduction to Quality Engineering. Parameter design by Taguchi design of experiment, Taguchi's Loss Function. Tolerance design and tolerancing. Online feedback quality control. Online process parameter control.

EM 551 Business Process Reengineering: The course concentrates on engineering of organizational processes and systems. The focus is on fundamental redesign of strategic and value-adding business processes. Organizations are modeled as systems in order to gain insight into their structure, processes and performance. This knowledge is used in engineering more effective organizations and information systems to provide value-added support for organizational evolution.

EM 552 Forecasting and Analysis of Time Series: Forecasting methodology and techniques, moving averages, exponential smoothing. Winters method, Box-Jenkins models, and Bayesian methods.

EM 554 Financial Management in Engineering: Financial applications in Designing, Production, Facility Costruction, and Strategical Planning of organizations and financial management of technical processes and advanced-technology-facilities.

EM 555 Investment Planning: Analysis of industrial projects, review of project appraisal techniques; technological feasibility; economic and financial feasibility; capital budgeting models; portfolio models; uncertainty and risk analysis; project management techniques; case studies.

EM 560 Engineering & Technology Management: Basic issues in technology management and problem solving in high-technology organizations. Methods for identifying or solving problems, including use of case studies and field research. Planning technological change in diversified corporations; understanding invention - the heart of technological change; implementing new technology in new products/services/ manufacturing; forecasting the economic impacts of technological change; forecasting technological change and planning research.

EM 561 Human Resources Management: 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.

EM 562 Communication and Team Building: Development of oral and written communication skills; fundamentals of report writing and technical document preparation; fundamentals of preparing and delivering public speech and presentations; design of research in managerial decision making; design and presentation of survey studies; conflict management; criticize and appriciation; team building; project teams; quality circles; management of team dynamics; 

EM 563 Strategic Planning: Methods and techniques of strategic management, that is, formulation, implementation and evaluation of actions that enable an organization to achieve its mission and objectives. Strategic Choice and Decision Making, Strategy Implementation Process Structure and Planning Style, Strategy Review, Evaluation and Control.

EM 565 Supply Chain Management: 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.

EM 570 Modern Heuristic Methods: Meta Heuristic Methods is being used in last years where solution is difficult and not economic due to the big solution space ( especially combinatoric optimization problems) with defined algorithms. In this course, beginning with simple heuristic methods, general methods and application areas and meta heuristics methods will be taught such as restricted search, evolutionary algorithms.

EM 590 Graduate Seminar: This seminar is designed to promote research interest in various areas of IE. Master’s students must register and fulfill departmental requirements of the seminar.

EM 591 M.Sc. Specialization Field Course: Investigation on study fields and developments on these study fields of all students, under the supervision of an advisor, who are progressing their M.Sc. thesis.

EM 600 Ph.D. Thesis: Program of research leading to Ph.D. degree, arranged between a student and the faculty member. Students register to this course in the fifth semester while the research program or write-up of the thesis is in progress.

EM 602 Operational Research for Managers: It is targeted to teach the teory of methods and solving procesess of Operational Research and by the help of this information detection of management politics and activities scientifically.

EM 610 Strategic Cost Management: Strategic investigation and the importance of cost in private and government organizations, the differences between service and production systems will  be defined and cost application techniques will be investigated. Presentations for the top management, reporting systems, financial look to the reporting systems will be studied and balance between dicipline will be tried to be established. .Application and integration of activity based cost systems and efficiency of cost reducing systems of organization sytems will be examined.

EM 690 Ph.D. Seminar: To increase the interest of the students for studying in different fields of industriel science. Ph.D. students have to take this course and fullfill the requirements.

EM 691 Ph.D. Specialization Field Course: Investigation on study fields and developments on these study fields of all students, under the supervision of an advisor, who are progressing their Ph.D. thesis.

|BİLGİSAYAR MÜH.A.B.D.|ELEKTRONİK MÜH. A.B.D.|ENDÜSTRİ MÜH.A.B.D.|

|HAVACILIK MÜH.A.B.D.|UZAY BİLİMLERİ A.B.D.|

|GENEL BİLGİLER|PERSONEL|SEMİNERLER|BAŞVURU KOŞULLARI|HUTEN'DE YAŞAM|