ECTS - - Industrial Engineering (without thesis)
Compulsory Departmental Courses
IE502 - Linear Programming (3 + 0) 5
Simplex algorithm, linear programming, 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.
Elective Courses
IE419 - Service Systems (3 + 0) 5
Techniques and applications of control concepts in the design of service systems with efficiency and customer satisfaction, service strategy and competitiveness, major concerns in the establishment of a service system, tools and techniques for managing service operations.
IE509 - Production Systems (3 + 0) 5
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 requirem
IE515 - Multi-criteria Decision Making (3 + 0) 5
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 a
IE517 - Customer Relationship Management (3 + 0) 5
The analysis of operational, analytical and collaborative customer relationship management, 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 technolo
MDES631 - Engineering Decision and Risk Analysis (3 + 0) 5
Basic notions of probability, random variables, functions of random variables distributions, moments; first and second-order approximations; probability models for engineering analysis; Bernoulli sequence, binomial distribution, Poisson and related distributions, normal and related distributions, extreme-value distributions, other distributions us