Compulsory Undergraduate Course Descriptions
IE 101 Industrial Engineering Orientation (2 0 2) (ECTS: 3)
This course is designed to establish an overall and coherent view of industrial engineering concepts in relation to engineering profession in general and the industrial engineering curriculum.
IE 117 Computational Programming Tools in Industrial Engineering (2 2 3) (ECTS: 5)
This is a one-semester course that covers the basic concepts of computer programming in C# and MATLAB by relating with Industrial Engineering concepts. Developing algorithms using stepwise refinement method. Fundamental concepts that are related to structured programming. Data types and variable definitions. Basic control structures. Conditional and looping structures. Function concept. Arrays and list. File I/O structure.
IE 200 Summer Training I (0 0 0) (ECTS: 5)
In this course the students are required to spend a training period of minimum four weeks (20 working days) in a manufacturing organization. During their training they will have the opportunity of thoroughly observing a manufacturing system. The students will also make some analysis and carry out a discussion of the various aspects of the manufacturing process.
IE 202 Work Study and Ergonomics (3 2 4) (ECTS: 7)
This course is designed to teach the fundamentals of Work Study and Ergonomics. The topics covered in the course are introduction, problem solving tools, operation analysis, manual work design, time study, standard data and formulas, work sampling, predetermined time systems, job analysis, job evaluation and compensation, design, work environment design, design of cognitive work.
IE 218 Computer Applications in Industrial Engineering (3 2 4) (ECTS: 7)
This course is designed to provide a background necessary to develop computer based applications required in IE activities. The topics covered in the course are basics of programming Excel VBA and Excel Applications. Introduction of basic data structures, predefined functions, programming basics, Introduction to algorithmic thinking, Flowcharting basics, debugging and tracing, Review of conditionals and loop structures, Advanced loop structures, Arrays and their applications and developing basic algorithms, Basic file operations, I/O using files, Introduction to functions, subroutines and recursion, User interface design, Computations on matrix operations and matrix inversion, List processing: Ordered vs Linked lists.
IE 227 Introduction to Probability (3 2 4) (ECTS: 6)
Introduction; basic probability concepts; counting techniques; concepts of random variables and their types; probability distributions; special probability distributions (discrete and continuous); jointly distributed random variables; conditional probability distributions; expectation; variance; covariance and correlation; conditional expectation and variance; functions of random variables and their distributions; moments of random variables and moment generating functions; limit theorems.
IE 228 Engineering Statistics (3 2 4) (ECTS: 6)
Introduction to statistics, data and sources of data; descriptive statistics; review of random variables, binomial, normal distributions and central limit theorem; sampling distributions; point estimation; properties of estimators; estimation methods; interval estimation; sample size determination; prediction and tolerance interval; hypothesis testing for single, two and more population parameters; sample size determination for hypothesis testing; independence test for categorical data; chi-square goodness-of-fit test; simple linear regression; multiple linear regression.
IE 232 Operations Research I - Modeling (3 2 4) (ECTS: 6)
Principles of model building, basic optimization concepts and approaches for problem solving are discussed in detail. Application of these principles and concepts are illustrated using simplified but practical problems from diverse fields of applications in manufacturing/service/distribution systems. Scope and limitations of suggested formulations are presented and their applications in real-life situations are focused on with the help of mathematical programming software. Emphasis is on the formulation and interpretation of models rather than solution techniques.
IE 241 Cost Analysis in Engineering (3 0 3) (ECTS: 5)
Introduction to accounting systems; basics of financial accounting; preparation and analysis of financial statements; inventory valuation and depreciation methods; cost terms and classifications; cost-volume-profit analysis; budgeting; variance analysis; allocation of common costs and joint costs; costing systems and their practices in manufacturing and service industry; pricing decisions and cost management.
IE 300 Summer Training II (0 0 0) (ECTS: 6)
In this course the students are required to spend a training period of minimum four weeks (20 working days) in a manufacturing or service organization. During their training they will have the opportunity of thoroughly observing a manufacturing or service system. The students will also make some analysis and carry out a discussion of the various aspects of the process together with identification, definition, modelling and solution of an Industrial Engineering problem of the organization.
IE 302 Facilities Design and Location (3 2 4) (ECTS: 6)
Introduction to facilities planning; Definition of the facility location problem; Basic discrete and continuous location models and known solution techniques; Advanced location models and location-allocation models; Introduction to facilities design; Market analysis, forecasting and capacity determination; Defining requirements based on product, process and schedule design; Flow, space and relationship planning: departmentalization; Personnel requirements; Introduction to materials handling system design and warehousing operations; Introduction to plant layout; Layout optimization techniques; Comparison of computerized layout techniques; Facilities systems; Facilities design project: preparing, presenting, implementing and maintaining.
IE 326 Quality Engineering (3 2 4) (ECTS: 6)
Review of fundamental statistical concepts; introduction to quality and DMAIC process; introduction to control charts; control charts for attributes; control charts for variables; graphical methods for quality improvement; process control techniques; specification limits; process capability analysis; tolerances and related techniques; acceptance sampling by attributes and by variables; application of design of experiments to quality control; 2k factorial design; two level fractional factorial design; overview of quality management systems.
IE 327 System Simulation (3 2 4) (ECTS: 6)
Introduction; types of simulation; concepts and examples of discrete-event simulation; event-scheduling/time advanced algorithm; hand simulation; random-number generation; random-variate generation; input modelling; verification and validation of simulation models; output analysis for a single model; comparison and evaluation of alternative system designs; simulation model development and analysis with ARENA.
IE 333 Operations Research II - Deterministic Problems (3 2 4) (ECTS: 6)
This is the second of a series of three Operations Research courses in our curriculum. The emphasis is on the solution procedures and interpretation of the solutions of the deterministic Operations Research problems. The topics covered are linear programming, simplex methods, duality, post optimality analysis, network models, integer programming, dynamic programming, and nonlinear programming.
IE 334 Operations Research III - Stochastic Problems (3 2 4) (ECTS: 7)
Introduction; review of basic concepts of probability and properties of random variables; basics of decision making under uncertainty; discrete-time Markov chains; exponential distribution and Poisson process; queuing theory; probabilistic inventory models, probabilistic dynamic programming.
IE 341 Engineering Economic Analysis (3 0 3) (ECTS: 5)
Foundations of engineering economy; engineering economy factors; nominal end effective interest rates; present and future worth analysis; annual worth analysis; rate of return analysis; benefit/cost analysis and public sector economics; project financing; replacement and retention decisions; independent projects; breakeven analysis, effects of inflation.
IE 364 Production Information Systems (2 2 3) (ECTS: 6)
Information Systems and IE perspective, Global E-business and Collaboration, Organizational and Business relevance, IT Infrastructure Information technologies Telecommunications and the Internet, Security and Control, Enterprise Applications and Integration, Business Process Redesign, E-commerce: Digital Markets, Digital Goods, Knowledge Management, Decision Making, Building information systems, Managing projects.
IE 365 Manufacturing and Service Systems Planning I (3 2 4) (ECTS: 6)
This is the first of two sequel courses, which are designed to introduce the planning issues for manufacturing and service systems. The topics covered in the first course are manufacturing and service systems, long-range planning, forecasting, aggregate planning, deterministic and independent demand inventory management, dynamic lot sizing, supply chain management, and distribution planning and scheduling.
IE 366 Manufacturing and Service Systems Planning II (3 2 4) (ECTS: 6)
This is the second of two sequel courses, which are designed to introduce the planning issues for manufacturing and service systems. The topics covered in the second course are stochastic and independent demand inventory management, master scheduling, capacity requirements planning, push production control systems (MRP, MRP II), production activity control (scheduling in different production environments, priority rules), project scheduling, pull production systems (just-in-time production, kanban).
IE 407 Systems' Analysis (1 4 3) (ECTS: 7)
This course is a project based synthesis of the techniques and methodologies of Operations Research and Industrial Engineering covered in other courses. This is not a course in the classical sense. The projects are concerned with the design of complex systems and may involve modeling and analysis of manufacturing and service systems based on demand, resource, capacity, location, computer integration, and information requirements. IE 407 is devoted to the understanding and identification of the particular system involved, and statement of the problem.
IE 408 Systems' Design and Implementation (1 4 3) (ECTS: 7)
This course is a project based synthesis of the techniques and methodologies of Operations Research and Industrial Engineering covered in other courses. This is not a course in the classical sense. The projects are concerned with the design of complex systems and may involve modeling and analysis of manufacturing and service systems based on demand, resource, capacity, location, computer integration, and information requirements. IE 408 is devoted to the construction of solution methodologies and decision support system, and implementation of the proposed solution to the realized problem in IE 407.
IE 499 Seminars in IE Practice (2 0 2) (ECTS: 3)
Throughout this course a series of seminars will be given by invited speakers on issues of current interest to the practice of industrial engineering to introduce IE students to the work atmosphere and opportunities available in academia and various manufacturing and service systems.