Students are required to take the following courses:
EM 500 Graduation Project (0+2) NC
EM 501 Research Methodologies (3+0) 3
EM 502 Seminar (non-credit) (0+1) NC
EM 503 OrganizationTheoryand Management (3+0) 3
EM 504 Project Management (3+0) 3
EM 505 Statistics for Engineers (3+0) 3
EM 506 Sytems Engineering and Operations Research (3+0) 3
EM 507 Financial Analysis and Engineering Economics (3+0) 3
Elective Courses
Studets should choose at least four elective courses. Students can also take elective coursesfrom other departments. Program offers the following elective courses.
EM 521 Production Management Systems (3+0) 3
EM 522 Supply Chain Management (3+0) 3
EM 523 Information Systems (3+0) 3
EM 534 Multivariate Statistical Data Analysis (3+0) 3
EM 535 Statistical Quality Control (3+0) 3
EM 536 Design of Experiments and Process Optimization (3+0) 3
EM 541 Total Quality Management (3+0) 3
EM 542 Scheduling (3+0) 3
EM 555 Total Quality Control (3+0) 3
EM 556 Nondestructive Testing Methods in Quality Control (3+0) 3
EM 562 Strategic Management (3+0) 3
EM 564 Marketing Management (3+0) 3
EM 568 Business Ethics and Negotiation (3+0) 3
EM 571 Organizational Behaviour (3+0) 3
EM 572 Cost Accounting (3+0) 3
EM 573 History of Administrative Philosophy (3+0) 3
EM 577 Strategic Behavior in Games and Markets (3+0) 3
EM 581 Artificial Intelligence Methods in Engineering (3+0) 3
EM 583 Quantitative Methods for Decision Making (3+0) 3
Course descriptions
EM 500 Graduation Project (0+2) NC
Every student is expected to complete a graduation project to graduate with the consent of the adviser.
EM 501 Research Methodologies (3+0) 3
This course outlines the basic principles of research including: research design, sampling, data collection, data analysis, and report writing. The nature of research and research process are analyzed. Methodologies of research are disscussed and evaluated with in-class experimental studies
EM 502 Seminar (non-credit) (0+1) NC
EM 503 Organization Theory and Management (3+0) 3
This course will provide student with the basis upon which he or she will be able to build some knowledge and understanding of organizations and their management. Throughout this course emphasis will be placed on understanding the importance of organizations in society, comparing and contrasting major organizational theories, analyzing the effect that the external and internal environments have on organizations and using fundamental concepts of organizational theory to diagnose and manage organizational phenomenon
EM 504 Project Management (3+0) 3
Principles of project management and the development of contemporary management concepts; roles of designer, owner, general contractor and project manager; negotiating; scheduling and cost control concepts; total quality management perspectives; Systems theory as applied to the design and production processes; alternates for structuring information flows and the control of projects.
EM 505 Statistics for Engineers (3+0) 3
In this course, basics of descriptive and graphical statistics such as mean, variance, probability distributions, hypothesis testing, bar and pie charts, line and scatter graphs, histograms will be given to provide the students with the tools of simple data analysis and prepare them for advanced statistical techniques. Also covered is an introduction to linear regression and design of experiments.
EM 506 Systems Engineering and Operations Research (3+0) 3
This course will mainly focus on the engineering of systems and on systems analysis. In the first place, emphasis is on the process of bringing systems into being, beginning with the definition of the need and extending through requirements analysis, functional analysis and allocation, design synthesis, design evolution, and system validation. Then, concern is with the improvement of systems already in existence. The course will also cover most useful Operations Research (OR) mathematical models. The models to be studied include linear and nonlinear programming (optimization), queuing theory, decision theory, etc.
EM 507 Financial Analysis and Engineering Economics (3+0) 3
The purpose of the course is to explain the principles and techniques needed for making decisions about acquisition and retirement of capital goods. The course covers basic concepts, principles and mathematics involved, ie., interest rate, compound interest, equivalence, present worth, continuous compounding, depreciation; and procedures and methods for evaluating alternatives ie., equivalent uniform cash flow method, present worth method, internal rate of return method, benefit-cost ratio method. Included also in the course are techniques for handling special situations such as studies for retirement and replacement, capital budgeting and minimum attractive rate of return, inflation and sensitivity analysis, using probabilities in economy studies.
EM 521 Production Management Systems (3+0) 3
The main objective of the course is to provide students with the essential concepts in developing computer integrated manufacturing systems including Material Requirements Planning (MRP), Manufacturing Resource Planning (MRPII), and Just-in-Time (JIT) with emphasis on inventory, work order management, shop floor control and group technology based parts classification and coding schemes. Optimized Production Technology (OPT) is also discussed in detail.
EM 522 Supply Chain Management (3+0) 3
Recently, emphasis in competitive advantage has shifted from a firm focused perspective to supply chains. Supply chains contain not only the “firm” but also its customers, customers’ customers, suppliers, suppliers’ suppliers all the way from raw materials to the end customer. This course is designed to study the concepts in design and control of such supply chains. Inventory management is at the core of the course together with logistics network design, distribution strategies, information sharing, coordination, and decision support tools. The course is supported with real life case studies to facilitate discussion and to gain understanding of basic principles.
EM 523 Information Systems (3+0) 3
This course introduces the students to the fundamental concepts and basic principles of Information Systems (IS). These include organizational and technical foundations of IS, building and implementing IS, and managing contemporary IS. Also, topics like e-commerce, e-business, intranets, extranets and other information technologies will be discussed during the course. The main focus of the course will be based on the interconnections between technology, the organization, and IS management.
Information Systems like Management Information Systems (MIS), Enterprise Resource Planning (ERP), Decision Support Systems (DSS), Executive Support Systems (ESS) will also be covered.
EM 534 Multivariate Statistical Data Analysis (3-0) 3
The course will cover the statistical tools for the analysis of process data. Basics of matrix algebra, statistics and graphical techniques to describe data, normal distribution, test of normality, hypothesis testing will be introduced first. The methods to compare several multivariate population means will be included. Techniques that are used for modeling and monitoring multivariate processes will be covered; linear regression, principal component analysis, factor analysis, discrimination and clustering analysis will be given to model and classify process data, and also to monitor and diagnose the process. Students who want to take this course should be familiar to a software to perform required matrix operations.
EM 535 Statistical Quality Control (3+0) 3
This course will focus on the statistical process monitoring and control techniques used in science and engineering. The content covers statistical process monitoring charts for variables and attributes. Descriptive statistics including mean, standard deviation, variance, probability distributions will be given. The concept of univariate charts such as Shewhart, cumulative sum and exponentially weighted moving average charts will be followed by autocorrelation and crosscorrelation in process data. The techniques for multivariable processes with correlated data will be introduced. The definition and guidelines of experimental design and factorial experiments will be covered.
EM 536 Design of Experiments and Process Optimization (3+0) 3
This course is about the methods and techniques used in the design and analysis of experiments. It emphasizes the connection between the experiment and the model that the experimenter can develop from the results of the experiment. As an introduction to the course, the fundamental concepts of experimental design, such as randomization and blocking, comparison of treatments, the analysis of variance along with simple graphical techniques will be presented. Factorial and fractional factorial designs with particular emphasis on the two-level design system will be introduced. Fitting regression models, Response surface methods (RSM), which are the tools for process optimization trough designed experiments, and Taguchi methods, will also be covered.
In many industries, the effective use of statistical experimental design is the key to higher yields, reduced variability, and better products. Therefore, it is believed that, this course can be very useful for students from all science and engineering disciplines
EM 541 Total Quality Management (3+0) 3
Theory and practice of total quality management; customer satisfaction, continual improvement, management commitment, training, teamwork, statistical methods, cost of quality, supplier involvement, customer service, implementation.
EM 542 Scheduling (3+0) 3
Scheduling methods; Gantt charts, CPM, PERT, line of balance method, resource leveling and allocation; network optimization and compression subjects are covered throughout the class. A real case study is conducted in class by using state-of-the-art computer technologies.
EM 555 Total Quality Control (3+0) 3
What is the impact of quality and the meaning of quality. Product, technology and the internationalization of quality. Quality engineering. Process-Control Engineering. Fundamentals of statiscs ac quality control tools. Control charts. Reliability.
EM 556 Nondestructive Testing Methods in Quality Control (3+0) 3
The importance of Nondestructive Testing in quality assurance. Nondestructive determination of imperfections in materials. The techniques of the commonly used NDT methods such as ultrasonic, radiographic, liquid penetrant, magnetic particle and eddy current testing. Application of nondestructive testing of specific problems of industry.
EM 562 Strategic Management (3+0) 3
This course aims to provide future leaders, managers and strategists with an understanding of strategic management that will enable them to function effectively in today's competitive economies. Through case studies and readings, the course exposes future leaders, managers and strategists to (1) the use of strategic concepts to achieve corporate objectives and mission in competitive situations through the use of strategic management concepts, including environmental and industry analysis, and (2) the integrative application of knowledge gained from all of the management disciplines to solve actual management dilemmas.
EM 564 Marketing Management (3+0) 3
The course examines core concepts in marketing and marketing-oriented management. It develops competence in the use of modern marketing techniques and their application in the design, development, and commercialization of new products and services in rapidly changing markets. Emphasis is also placed on developing effective communication skills.
EM 568 Business Ethics and Negotitation (3+0) 3
Ethics is one of the most challenging areas where values are subject to degeneration in business environment (private or public). The aim of this course is to earn the student different perspective other than cognitive knowledge and methods of how to maximize “materialistic” efficiency and profit-making at business environments; the concern is on the way the work or management is executed, the role and contribution of ethics on productivity, and endearing of job as well, the fundamental (universal) principles of ethics and moral values (from Western and Eastern perspectives) of doing right work and right management, honest leadership in transmission of culture of work ethics and motivation, concepts of responsibility, righteousness, accountability (liability), the respect and honesty, etc., the methodology of examining ethical issues and conflicts from various perspectives (deontological and teleological). Another aspect of this view is its strategic notion whether it has satisfaction points and gains which can be understood by gaming approaches (negotiation, bluffing): negotiation “experiments”. Also, introducing some cases where ethical conflicts experienced in the World and Turkey.
EM 571 Organizational Behaviour (3+0) 3
Theory and models of organizational behaviour; individual, interpersonal, and group dynamics; management and leadership; power, influence, motivation; change; communication channels; organizational culture.
EM 572 Cost Accounting (3+0) 3
Basic accounting concepts, assets, liabilities, owners’ equity; product costing, cost terminology, job order and process costing, budgeting, cost-volume-profit-analysis.
EM 573 History of Administrative Philosophy (3+0) 3
The seminar aims at introducing the professional manager to the sources of modern administrative philosophy by reading and analysis of selections from major western authors from the Renaissance to the twentieth century. While historically, the selected texts will give a mature sense of major stages in the rise and development of the philosophy of administration in the west and elucidate the main psychological and strategic concepts at work in administrative science, they will also be useful in administrative practice today.
EM 577 Strategic Behavior in Games and Markets (3+0) 3
Introduction to game theory. Expected utility theory. Thinking strategically. Sequential move games. Nash Theory. Complete and incomplete information games. Market Games
EM 581 Artificial Intelligence Methods in Engineering(3+0) 3
The aim of this course is to give the fundamental concepts of artificial neural networks, fuzzy logic, neuro-fuzzy systems, and genetic alforithms. The course shall also cover the material related to the applications of these intelligence methods in solving different engineering problems.
EM 583 Quantitative Methods For Decision Making (3+0)3
This course provides insights into a number of widely used quantitative models in solving managerial decision problems. Specifically, the students will learn how to differentiate various types of decision-making environments and choose the best approach for the problem under study. Topics will include decision analysis, benchmarking, project scheduling, waiting line models, simulation and multi-criteria decision making. Moreover, the interpretation of the various software output related to above quantitative methods and how to use that output in decision-making will be emphasized.