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Week
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Topics
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Study Metarials
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1
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Introduction to reliability engineering
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R1-S1
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2
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Error models, reliability function, failure rate function and average error time
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R1-S2
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3
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Exponential, Gamma, Weibull, Normal and Lognormal distribution
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R1-S3
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4
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Qualitative system analysis
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R1-S4
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5
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Error tree analysis, Event tree analysis
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R1-S5
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6
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Error type and effects analysis
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R1-S6
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7
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Reliability block diagrams
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R1-S7
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8
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Independent component systems
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R2-S1
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9
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The importance of components
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R2-S2
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10
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Dependent errors, counting process
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R2-S3
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11
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Markov process
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R2-S4
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12
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Monte-Carlo simulation
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R2-S5
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13
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Monte-Carlo simulation applications in chemical engineering
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R2-S6
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14
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Monte-Carlo simulation applications in chemical engineering
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R2-S7
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Prerequisites
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-
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Language of Instruction
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Turkish
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Responsible
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Associate Prof. Dr. Barış şimşek
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Instructors
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-
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Assistants
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-
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Resources
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K1) Rausand, M., Hoyland, A., (2004). System Reliability Theory: Models, Statistical Methods and Applications.( 2. Ed.). Wiley Inter-Science. USA.
K2) O`Connor, P., Kleyner, A. (2012). Practical Reliability Engineering. John-Wiley & Sons, USA.
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Supplementary Book
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-
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Goals
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Giving information about reliability engineering and risk analysis techniques and applying these techniques to various chemical engineering reliability problems, applying reliability simulation and simulation optimization in chemical processes
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Content
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Error models include usability, reliability and failure rate functions, probability distribution functions, risk analysis methods, block diagrams, parallel and serial connected systems, Monte-Carlo simulation and their applications in chemical engineering.
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Program Learning Outcomes |
Level of Contribution |
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1
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Making scientific researches and reach the knowledge in depth; analyzing, interpreting and applying knowledge
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2
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2
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Having knowledge about current technics, methods and their limitations applied in engineering
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5
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3
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Ability to define and practice the knowledge by using scientific methods and limited or restricted data and use the knowledge from other disciplines
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3
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4
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Having awareness about the new and developing implementations in engineering and examining and learning them when required
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3
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5
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Defining and formulating problems related to the field, developing methods to solve and applying innovative methods in solutions
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4
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6
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Developing new and/or original ideas and methods; designing complex systems or processes and developing innovative/alternative solutions in their designs
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3
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7
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Designing and applying theoretical, experimental and modeling-based research; Analyzing and inspecting complex problems encountered during these process
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5
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8
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Leading multidisciplinary teams, developing solution approaches in complex situations, working independently and taking responsibility
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4
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9
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To use English at least in European Language Portfolio B2 level for both oral and written skills
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4
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10
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To declare the results and processes of studies both orally and written in national and international platforms with a systematically and concisely manner
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-
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11
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Knowing the social, enviromental, health, safety legal aspects of engineering practices,project management and business life practices and being aware of the constrains they impose on engineering practices.
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-
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12
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Observing social, scientific and ethical values in the stages of data collection, interpretation, announcement and in all professional activities
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4
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