Industrial Engineering
";
}
echo $edit_dept_objectives_str;
***********/
?>
 | IE-102 (2013-2014-Spring ): A Process Outlook for Industrial Engineering By: Prof. Nesim Erkip The main objective of the course is to familiarize the IE freshmen with the profession by introducing the basic notion of process. Industrial engineers visualize any systems as a collection of physical and abstract things, each of which are described by a process and these interrelated processes become crucial in the way system functions. Topics related to design of processes and process improvement, as well as notions of performance evaluation are covered and relations to decision making concepts are outlined. Throughout the course simple examples from daily life, as well as more complex examples from the service and manufacturing industries are used. |
| IE-102 (2012-2013-Spring): A Process Outlook for Industrial Engineering By: Prof. Nesim Erkip The main objective of the course is to familiarize the IE freshmen with the profession by introducing the basic notion of process. Industrial engineers visualize any systems as a collection of physical and abstract things, each of which are described by a process and these interrelated processes become crucial in the way system functions. Topics related to design of processes and process improvement, as well as notions of performance evaluation are covered and relations to decision making concepts are outlined. Throughout the course simple examples from daily life, as well as more complex examples from the service and manufacturing industries are used. |
 | IE-325 (2008-2009-Summer): Stochastic Models By: Asst. Prof. Dr. Savaş Dayanık Probability review and conditional expectations. Discrete-time Markov chains. Markov decision processes. Poisson processes. Continuous-time Markov chains. Applications to inventory control, queuing systems, and cash management. |
 | IE-202 (2008-2009-Spring): Introduction to Modeling and Optimization By: Assoc. Prof. Dr. Emre Alper Yıldırım A general overview of operations research, with selected applications from engineering and management systems, and interdisciplinary areas. The methodology of mathematical modeling and its relation to problems in industrial, commercial, and public systems. Introduction to linear programming: the simplex method, duality, sensitivity analysis, and related topics. Network models and project scheduling. |