Endüstri Mühendisliği
Akademik Course Descriptions

Course Descriptions


Course Code Course Name Credit
IE 102 Industrial Engineering Orientation (2+0+0) 2
Industrial engineering skills and functions. Manufacturing and production systems. Service systems. Organization and work design. Ergonomics. Project management. Manpower resource planning. Quality. Methods for decision making. Probabilistic models and statistics. The role of industrial engineers in Turkey.
IE 242 Engineering Economy (3+0+0) 3
Economic analysis for engineering decision making; the finance function in an industrial enterprise, time value of money; basic interest formulas; annual cost comparison; present value analysis; rate of return; depreciation and taxes; multiple alternatives. Mathematical models for equipment replacement. Introduction to decision analysis; concepts of cost engineering.
IE 251 Thermodynamics (3+1+0) 3
Heat, force, pressure, energy, work. Independent variables, Mariotte law, adiabatic and isothermal transformations. Internal energy, temperature, first law of thermodynamics. Kinetic theory of gases. Entropy, second law of thermodynamics, cycles. Enthalpy, Gibbs function, Helmotz function, Clapeyron law. Physics of energy production. Heat transfer and cooling, heat conduction equation, Fick's law. Refrigeration, heat pump.
IE 256 Engineering Statistics (3+0+0) 3
Basic topics in parametric statistics; estimation, confidence intervals, and hypothesis testing; analysis of variance, regression and correlation analysis; goodness of fit tests; application in statistical quality control, demand forecasting, and other IE/OR topics. Elementary design of experiments and data collection; computer implementations using available up-to-date statistical software.
Prerequisite: MATH 230
IE 290 Industrial Training I NC
IE 301 Operations Research I (3+0+2) 4
Modeling concepts. Linear programming: problem formulation, simplex and dual simplex methods, duality and sensitivity analysis. Transportation model and its variants, network models. Goal programming. Integer linear programming.
Prerequisite: MATH 200
IE 302 Operations Research II (3+0+2) 4
Deterministic and probabilistic dynamic programming. Classical optimization theory: optimization in one variable, convexity, unconstrained and constrained optimization in many variables, Karush-Kuhn-Tucker optimality conditions; Nonlinear programming: direct search and gradient methods. Computational complexity. Major heuristic approaches: tabu search, simulated annealing, genetic algorithms. Queueing systems.
Prerequisite IE 301
IE 303 System Simulation (3+1+0) 3
Basic concepts of discrete-event simulation modeling and analysis. Event-scheduling versus process-interaction approach. Random number and random variate generation; inverse transformation and other selected techniques. Input data analysis and goodness of fit tests. Specific computer simulation languages, analysis of simulation output and model validation.
Prerequisite: MATH 230
IE 306 Fundamentals of Operations Research (3+0+0) 3
Modeling concepts; linear programming; problem formulation; simplex and dual simplex methods; duality and sensitivity analysis; interior point methods, transportation and assignment problems; integer programming; cutting plane algorithms and branch and bound techniques.
(For non IE students)
Prerequisite: MATH 200
IE 312 Production and Service Operations Planning (3+0+0) 3
Structure of production planning in manufacturing systems. Basic concepts in forecasting, product mix and inventory. Production planning at various levels: aggregate production planning, materials requirement planning and scheduling. Current issues in modern manufacturing systems.
Prerequisite: IE 301 or IE 306
IE 321 Industrial Production Systems (3+0+0) 3
Fundamentals of CIM and automation; high volume discrete parts production systems; numerical control manufacturing systems; robotics, FMS, CAD/CAM, group technology.
IE 334 Quality Planning and Control (3+0+0) 3
Principles of quality control systems; process control concepts; specification and tolerances; process capability studies; control charts; acceptance sampling plans; cost aspects of quality decisions; quality improvement programs; quality information systems.
Prerequisite: IE 256 or MATH 232
IE 351 Forecasting Methods (2+0+2) 3
An overview of forecasting. Available methodologies and their comparison, selecting a methodology suitable to the management - decision making requirements and designing a forecasting system. Smoothing techniques, adaptive filtering, simple and multiple regression and correlation analysis, time series forecasting, Box-Jenkins methods, input-output and econometric models.
Prerequisite: IE 256 or MATH 232
IE 390 Industrial Training II NC
Prerequisite: IE 290
IE 402 Operations Research III (3+1+0) 3
Advanced linear programming, interior point methods. Multiobjective modeling. Decision analysis and games. Introduction to stochastic processes. Markov chains. Markov decision processes: value iteration method, successive approximations and policy improvement algorithms. Maintenance and reliability models.
Prerequisite: MATH 230 or IE senior standing
IE 403 Operations Research Modeling Applications (3+0+2) 4
Overview of modeling concepts and optimization techniques. Various application areas: typical implementation problems, practical points and obstacles encountered in applying operations research models to real life problems. Article presentations, cases, mini-projects with computer implementations.
Prerequisite: IE 301 or IE senior standing
IE 412 Facilities Design Planning (2+0+2) 3
Nature and classification of production systems. Product design. Capacity requirements planning. Facility location; discrete and continuous space location models. Plant layout and design of work stations; group technology and cell design; material handling and storage systems.
Prerequisite: IE 301 or IE 306 or IE senior standing
IE 413 Supply Chain Management (3+0+0) 3
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.
Prerequisite: IE 301 or IE 306 or IE senior standing
IE 422 Inventory Planning Problems (3+0+0) 3
Definitions. Deterministic inventory problems. Deterministic inventory problems with and without constraints. Unconstrained, infinite horizon, stochastic demand continuous review problems. Single period, stochastic demand problems. (s,S) policies for periodic review, infinite horizon problems.
Prerequisite: IE 301 or IE 306 or IE senior standing .
IE 433 Ergonomics (3+0+0) 3
Elements of man-machine systems. Human functions in man-machine systems. Mechanical and automated systems. Consideration of human abilities and limitations. Physical, cognitive and organizational ergonomics. Design of work environment. Fitting the task to the man. The basic elements of human performance. Qualification of man-machine system.
IE 443 Engineering Investment Decisions (3+0+0) 3
Description of the organization, choice of production capacity, project engineering, cost and revenue estimation, financing and preparation of financial statements, economic analysis, case studies. Maximizing expected monetary value and utility theory.
Prerequisite: IE 242 or IE senior standing
IE 481-489 Special Topics in IE (3+0+0) 3
Special topics of Industrial Engineering
Prerequisite:IE Senior Standing or Consent of the department
IE 490 Project
(0+0+8) 4
Design and development of a project for an industrial engineering or operations research problem under the supervision of an academic advisor and submission of the results in the form of a project report and oral presentation.
Prerequisite: IE 390 and Consent of the department