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Language of Instruction
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Turkish
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Level of Course Unit
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Bachelor's Degree
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Department / Program
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Industrial Engineering
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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In this course, many types of stochastic processes will be introduced and the logic of thinking about stochastic events and systems will be explained. In this way, students will gain the ability to solve possible problems in real life.
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Course Content
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Introduction to stochastic processes, definitions and concepts, Bernoulli processes, Poisson process and related distributions, Markov chains, transition probability matrix, first and n-step analysis, classification of Markov chains, limit state of Markov chains, Birth and death processes, Renewal processes, Queuing theory.
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Course Methods and Techniques
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Asist Prof. Dr. Öğretim Üyesi
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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Introduction to Stochastic Processes, Erhan Çınlar, Dover Publications. Olasılıksal Süreçlere Giriş, Ceyhan İnal, Hacettepe Üniversitesi Yayınları, 1988. Markov Zincirleri, Tahir Khaniyev, KTÜ Yayınları. Stochastic Processes, Sheldon M. Ross, 2nd Edition, Wiley.
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Introduction to Stochastic Processes, Erhan Çınlar, Dover Publications. Olasılıksal Süreçlere Giriş, Ceyhan İnal, Hacettepe Üniversitesi Yayınları, 1988. Markov Zincirleri, Tahir Khaniyev, KTÜ Yayınları. Stochastic Processes, Sheldon M. Ross, 2nd Edition, Wiley.
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Course Category
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Engineering
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%30
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Engineering Design
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%70
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