Graduate Program (with Thesis) Course List

Compulsory Departmental Courses

Elective Courses

Compulsory Departmental Courses

IE 502 - Linear Programming
Mathematical Development of Simplex Algorithm. Formulations of Various Problems as Linear Programming Problems. Duality Theory and Economic Interpretations. The Simplex, Big-M, Two-phase, Revised Simplex, the Dual Simplex Methods. Sensitivity and Post-Optimality Analysis. Special Forms of Linear Programming Problems and Their Solution Methods.

IE 503 - System Analysis and Design
The System Analysis and Design is designed to provide an introduction to fundamental concept of “Systems approach and analysis” supported by the techniques of information systems analysis and design. Following an introduction about systems approach, elementary tools and techniques based on the standards currently used for planning, analysis, design and construction of information systems would be presented. Topics covered include, requirements engineering and modeling, structural modeling, system architecture and user interface design, documentation, testing and installation, traceability, project planning and management.

IE 504 - System Simulation
Dynamic system models and simulation, Statistical Models in Simulation, Monte-Carlo simulation of real dynamic systems

IE 589 - Graduation Seminar
Each Master's student with thesis and non-thesis option, at least one semester prior to his/her thesis defense, is expected to give a presentation on his/her thesis work.

IE 598 - Special Studies on Thesis Subject
Research methodologies. Review of background knowledge. Academic reading.

IE 599-1 - Thesis-1
Problem identification and analysis. Research methodologies. Literature Survey. Typical phases of the system development life cycle. Progress Report.

IE 599-2 - Thesis-2
Problem identification and analysis. Research methodologies. Literature Survey. Typical phases of the system development life cycle. Progress Report.

IE 599-3 - Thesis-3
Research methodologies. Implementation. Testing. Typical phases of the system development life cycle. Thesis documentation.

Elective Courses

IE 506 - Discrete Programming
The theory, computation, and application of deterministic models to represent industrial operations. Integer Programming. Mixed Integer Programming. Zero-One Programming. Knapsack Problems. Cutting Planes and Polyhedral Approach. Branch and Bound Methods. Lagrangean Relaxation. Heuristics. Decision Analysis and Games. Nonlinear Integer Programming. Applications to Various Areas.

IE 508 - Stochastic Processes
The topics covered in this course include the definitions and the classifications of stochastic processes, Poisson process, renewal theory, Markov chains and processes, applications in reliability and inventory problems.

IE 509 - Production Systems
Management and control of production function in organizational systems. Concepts of materials management, master production scheduling and production planning from different perspectives. Aggregate planning, lot sizing. Scheduling in manufacturing systems, scheduling in service systems, design and operation of scheduling systems. Material Requirements Planning (MRP) versus Just-in -Time (JIT) implementations. Optimized Production Technology (OPT). Flexible Manufacturing Systems (FMS). Types of production settings. Inventory planning theory. Computer support, system conversion and integration issues in manufacturing planning and control. Real world problems.

IE 510 - Network Models
Basic review. Flow problems. Special purpose algorithms and advanced computational techniques for transportation and assignment problems. Theory, algorithms, and applications for maximum flow problems. Shortest paths. Minimum cost flows. Network simplex method. Multicommodity flow problems. Generalized networks. Network Model Applications for Production Planning Problems. Travelling salesperson problem. Real life problems.

IE 511 - Heuristic Methods
Students will learn the background of heuristic applications for search methods for optimization purposes and the possible application areas. Complex optimization problems and possible solving strategies using heuristic algorithms. Heuristic search methods. Simulated Annealing general structure, algorithms, application areas. Taboo Search general structure, algorithms, application areas. Neural networks, general structure, algorithms, application areas. Other methodologies, discrete and continuous applications. Comparison with other optimization algorithms. Area applications.

IE 512 - Work Place Environmental Design
Applied Anthropometry. Work-Space Design. Seating Design. Visual Environment. Noise. Thermal Environment. Chemical substances. Physical Work and Manual Materials Handling. The NIOSH Approach to the Design and Evaluation of Lifting Tasks. Biomechanics. Vibration and Acceleration.

IE 513 - Strategic Planning
This course covers advanced topic of management, which is strategy. Methods and techniques of strategic management; which 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 by a new tool Balanced Score Card.

IE 514 - Decision Support Systems
Decision Support Systems and Business Intelligence, Decision Making, Systems, Modeling and Support, Decision Support Systems Concepts, Methodologies and Technologies, Modeling and Analysis, Data Warehousing, Business Analytics and Data Visualization, Data, Text and Web-Mining, Neural Networks for Data Mining, Business Performance Management, Collaborative Computer-Supported Technologies and Group Support Systems, Knowledge Management, Artificial Intelligence and Expert Systems, Advanced Intelligence Systems, Decision Support System Applications

IE 515 - Multi-criteria Decision Making
The concept of Multiple Criteria Decision Making (MCDM). Multiple criteria and multiple purpose models. Decision space, objective space, convex sets, functions and test for convexity. Decision analysis and utility theory. Complex systems. Value of information, the concept of utility theory. Formulation of the general multiple criteria programming and optimization, classification of multiple criteria programming methods, decision making with discrete and continuous alternatives. Pareto Analysis. Goal Programming and applications. Interactive approaches for MCDM. Electre approach. Applications related with production planning and other areas.

IE 516 - E-Business
The Internet is changing the way companies do business, including an examination of the Digital Economy and the forces shaping the new media economy. This course provides an introduction to eBusiness, the business that takes place online. Online business is increasingly important in our networked world of global transactions and global competition. This course will examine some major topic areas: Introduction to eBusiness, Electronic Retailing, Introduction to eCommerce Web Design, eBusiness Marketing; and eBusiness Infrastructures.

IE 517 - Customer Relationship Management
This course analyses operational, analytical and collaborative customer relationship management. Starts with operational CRM, connecting with analytical and collaborative CRM. Understanding the importance of building and sustaining relationships with customers. Enhancing customer loyalty. Analyzing customer value and profitability Investigating the use of technologies for the effective management of relationships with individual customers. Managing the CRM process. Implementing CRM systems and evaluating their success

IE 518 - Engineering Design Economics
Investment Projects and flow diagrams, interest and equivalence, the techniques of investment evaluation, investment evaluation in inflationist environment, various deterministic capital budgeting models (linear programming models, discrete models, dynamic models, multi criteria optimization models), benefit theory, the techniques of investment evaluation under risk, decision trees, the comparison methods for the projects containing risk.

IE 519 - Forecasting
Forecasting methodology and techniques in general. Forecasting methods versus Forecasting Systems; Dynamic Bayesian Modelling; Methodological Forecasting and Analysis (prior and posterior, forward intervention, smoothing, component forms); Polynomial, Seasonal, Harmonic and Regression Systems; Superpositioning (Block structured Models, Block Discounting, Component Intervention); Variance Learning; Forecast Monitoring and applications; Time Series Analysis and Forecasting; Moving Averages; Estimation and Forecasting for ARMA models;ARIMA models. Seasonal and Non Seasonal Box-Jenkins Models; Winters’ Exponential Smoothing; Decomposition Models. Other possible methods. Real world applications.

IE 520 - Logistics and Inventory Systems
Determination of needs and requirements for logistics within large-scale manufacturing and business environments. Logistics performance and cost control, and logistics concepts of product systems design. Overview of procurement, material handling, physical distribution, after-sale services (product repair and maintenance). Packaging facilities, repair, maintenance, and automation in logistics. Concept of inventory and inventory costs. EOQ Model. Deterministic and stochastic models with fixed or variable reorder ıntervals and lead times. Multi-echolon models. Heuristic solutions to some inventory models

IE 521 - Advances in MIS
This course provides an in-depth treatment of one or more advanced topics in the management of information systems. The field of information systems consists of three major components: information systems technology, information systems development, and information systems management. This Advanced Topics course deals with the latter area. Because of the many advances in information technology and the corresponding development techniques, new business opportunities are constantly emerging, and with them the need to manage theses applications effectively. This course explores these new application areas and the management approaches needed to make them successful.

IE 530 - Research Topic
Research methodologies. Review of background knowledge. Academic reading. Finalizing a research work.