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
    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 Making scientific researches and reach the knowledge in depth; analyzing, interpreting and applying knowledge 4
    2 Having knowledge about current technics, methods and their limitations applied in engineering -
    3 Ability to define and practice the knowledge by using scientific methods and limited or restricted data and use the knowledge from other disciplines 4
    4 Having awareness about the new and developing implementations in engineering and examining and learning them when required -
    5 Defining and formulating problems related to the field, developing methods to solve and applying innovative methods in solutions -
    6 Developing new and/or original ideas and methods; designing complex systems or processes and developing innovative/alternative solutions in their designs -
    7 Designing and applying theoretical, experimental and modeling-based research; Analyzing and inspecting complex problems encountered during these process -
    8 Leading multidisciplinary teams, developing solution approaches in complex situations, working independently and taking 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 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. -
    12 Observing social, scientific and ethical values in the stages of data collection, interpretation, announcement and in all professional activities 4
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