• Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Reliability Engineering KMÜ514 FALL-SPRING 3+0 Faculty E 6
    Learning Outcomes
    1-Learns the error models and learns the error models of chemical processes related to the field.
    2-Uses advanced risk analysis techniques for various applications in chemical engineering.
    3-Can use reliability engineering techniques to solve complex security problems in the chemical industry.
  • ActivityPercentage


    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14684
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)2011515
    Laboratory 0000
    Final exam (exam + preparation) 4011515
    Other 0000
    Total Workload (hours)   188
    Total Workload (hours) / 30 (s)     6,27 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 Introduction to reliability engineering
    2 Error models, reliability function, failure rate function and average error time
    3 Exponential, Gamma, Weibull, Normal and Lognormal distribution
    4 Qualitative system analysis
    5 Error tree analysis, Event tree analysis
    6 Error type and effects analysis
    7 Reliability block diagrams
    8 Midterm exams
    9 Independent component systems
    10 The importance of components
    11 Dependent errors, counting process
    12 Markov process
    13 Monte-Carlo simulation
    14 Monte-Carlo simulation applications in chemical engineering
    15 Monte-Carlo simulation applications in chemical engineering
    Prerequisites -
    Language of Instruction Turkish
    Coordinator Associate Prof. Dr. Barış şimşek
    Instructors -
    Assistants -
    Resources 1. Rausand, M., Hoyland, A., ?System Reliability Theory: Models, Statistical Methods and Applications?, 2. Ed., Wiley Inter-Science. 2004. 2. O?Connor, P., Kleyner, A., ?Practical Reliability Engineering?, John-Wiley & Sons, 2012. 3. Kapur, K. C., Pecht, M., ?Reliability Engineering?, Wiley Series in System Engineering and Management, NJ, 2014. 4. Bazorvsky, I., ?Reliability Theory and Practice?, Dover Publications, 2004.
    Supplementary Book -
    Goals 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
    Content 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.
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 To make scientific researches and reach the knowledge in depth; analyze interpret and apply the knowledge. 2
    2 To have knowledge about current technics, methods and their limitations applied in engineering. 5
    3 To have the ability to define and practice the knowledge by using scientific methods and limited or restricted data and to use the knowledge from other disciplines. 3
    4 To have awareness about the new and developing implementations in engineering and to research and learn them when required. 3
    5 To define and formulate problems concerning chemical engineering , to develop methods for solution and to apply innovative methods for solutions. 4
    6 To develop new and/or original ideas and methods, to design complex systems and processes and to improve alternative/innovative solutions. 3
    7 To design and apply theoretical, applied and simulative researches, to analyse and solve complicated problems encountered during these processes. 5
    8 To lead in multidisciplinary teams, improve solutions in complex situation and to work independently and take responsibility. 4
    9 To use English at least in European Language Portfolio B2 level for both oral and written skills. 4
    10 To declare the results and processes of studies both orally and written in national and international platforms with a systematically and concisely manner. 4
    11 To have awareness about the social, enviromental, health, security and law perspectives and project management and career applications of engineering practices and restrictions of all these. 5
    12 To regard social, scientific liabilities, and ethics during the collection, evaluation, and publication steps of data. 4
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