This course is for ICRON related communication between all users of ICRON in BU-IE department projects.
- Instructor: İlhan Or
- Teaching Assistant: Birnur Özbaş
This course is designed to explore the practical problems faced when a mathematical model is implemented to obtain good and acceptable solutions to any real life problem. Emphasis will be on optimization models.- Instructor: Mahmut Ekşioğlu
- Teaching Assistant: Banu Kabakulak
.- Instructor: Ali Kerem Saysel
- Teaching Assistant: Onur Özgün
This course has a dual objective. The first objective is to teach fundamentals of systems thinking and system dynamics simulation method to analyze complex, dynamic socio-economic management problems. The second interrelated objective is to teach simulation gaming and decision experimentation method to analyze peoples’ mental models and decision heuristics used while dealing with dynamic decision problems (ex. managing inventory levels, making capital investments, harvesting renewable resources, mitigating pollutant emissions, fire fighting and etc.).- The course will cover robust design and engineering techniques, including the following sections: Identification of customer requirements, idea generation and evaluation methodologies, quality function deployment, problem formulation, design of experiments, and Taguchi Parametric Design and Taguchi Tolerance Design.
Quality leadership is recognized as the key to business success. Strong customer focus on all products and services, teamwork throughout all areas of the organization is essential for company competitiveness. This course aims at covering the fundamental issues of total quality management. ISO 9000 standards, cost aspects, quality improvement tools, quality function deployment, process management, benchmarking are discussed. Actual case studies from industry will supplement the lectures.
- As the first of a two-course graduate–level series on Production Systems, this course focuses on the design of production systems. A wide range of design problems encountered in modern manufacturing environments are covered with particular emphasis on advanced quantitative modeling and solution techniques.
- Aims of this course are: Understanding the main concepts of option pricing and portfolio risk analysis and the numerical methods related to them. Ability to understand, code and use Monte-Carlo simulation, tree methods and the finite difference method to price options and to quantify the risk of portfolios.
- Instructor: Wolfgang Hörmann
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