CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Experimental Methods and Data Analysis KMÜ504 FALL-SPRING 3+0 Faculty E 6
    Learning Outcomes
    1-They will be able to apply to basic statistical methods for experimental design, analyze and present the experimental results
    2-They will be able to calculate the experimental uncertainties in physical measurements.
    3-They will be able to comprehend temperature, pressure, flow rate and transmission and thermal properties such as mechanical measurement techniques
    4-They will be able to report and present the results of an experimental study.
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14570
    Assignments204728
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)3011515
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 5011515
    Other 0000
    Total Workload (hours)   170
    Total Workload (hours) / 30 (s)     5,67 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 Introduction and Basic Concepts R1-S1
    2 Analysis of experimental data R1-S2
    3 Analysis of experimental data R1-S3
    4 Uncertainty analysis R1-S4
    5 Pressure measurement R1-S5
    6 Flow measurement R1-S6
    7 Temperature measurement R1-S7
    8 Midterm Exam R1-S8
    9 Measurement of thermal and transport properties R1-S9
    10 The experimental design R1-S10
    11 The experimental design R1-S11
    12 Report writing and presentation R1-S5
    13 Report writing and presentation R1-S6
    14 Data collection and processing R1-S7
    Prerequisites -
    Language of Instruction Turkish
    Responsible Associate. Prof. Dr. Barış Şimşek
    Instructors -
    Assistants -
    Resources R1) Holman.J.P. (1986). Experimental methods for engineering: McGraw Hill, USA. R2) Cebe M. ( 2006 ). Kimyada Veri Analizi Uygulamalı İstatistik. Nobel Kitapevi. İstanbul.
    Supplementary Book -
    Goals Graduate studies in basic science and engineering science include experimental studies substantially. Course generally aims to plan an experimental study, analyze the experimental measurements and gain basic variables on measurement techniques and interpretation of results.
    Content Analysis of experimental data, Pressure, Flow and Temperature measurement, The experimental design, Report writing and presentation
  • 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. 4
    2 To have knowledge about current technics, methods and their limitations applied in engineering. -
    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. 4
    4 To have awareness about the new and developing implementations in engineering and to research and learn them when required. -
    5 To define and formulate problems concerning chemical engineering , to develop methods for solution and to apply innovative methods for solutions. -
    6 To develop new and/or original ideas and methods, to design complex systems and processes and to improve alternative/innovative solutions. -
    7 To design and apply theoretical, applied and simulative researches, to analyse and solve complicated problems encountered during these processes. -
    8 To lead in multidisciplinary teams, improve solutions in complex situation and to work independently and take responsibility. -
    9 To use English at least in European Language Portfolio B2 level for both oral and written skills. -
    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. -
    12 To regard social, scientific liabilities, and ethics during the collection, evaluation, and publication steps of data. 4
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