CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Climatological Data Analysis COG508 FALL-SPRING 3+0 E 7
    Learning Outcomes
    1-Organizes climatological data according to its purpose.
    2-Organizes and interprets climatological data in the form of graphs and comments.
    3-Calculates and interprets the temporal variation of the climatological data.
    4-Makes and interprets the spatial distribution of climatological data.
    5-Reveals the climate type of a place and interpreting.
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14570
    Assignments20000
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)2011515
    Project016060
    Laboratory 0000
    Final exam (exam + preparation) 6012020
    0000
    Total Workload (hours)   207
    Total Workload (hours) / 30 (s)     6,9 ---- (7)
    ECTS Credit   7
  • Course Content
  • Week Topics Study Metarials
    1 Observation and observation types R1- Chapter 1
    2 Climatological data compilation R1- Chapter 1
    3 Make climatological data ready for tables and use R1- Chapter 1
    4 Continentality analysis of precipitation and temperature R1- Chapter 2
    5 Temperature control analysis R1- Chapter 2
    6 Precipitation analysis R1- Chapter 2
    7 Midterm Exam R1- Chapter 2
    8 Wind direction and frequency analysis R1- Chapter 2
    9 Correlation and regression analysis on climatological data R1- Chapter 2
    10 Spatial distribution of temperature data analysis R1- Chapter 2
    11 Analysis of the spatial distribution of rainfall data R1- Chapter 2
    12 De Martonne calculation R1- Chapter 2
    13 Erinç rainfall effectiveness analysis R1- Chapter 2
    14 Thorntwaite formula and calculating water balance R1- Chapter 2
    Prerequisites None
    Language of Instruction Turkish
    Responsible Associate Prof. Dr. Neşe DUMAN
    Instructors

    1-)Doçent Dr. Neşe Duman

    Assistants -
    Resources R1- Rogerson, P. (2001). Statistical Methods for Geography, Sage, London.
    Supplementary Book -
    Goals Climatological data collection and spatial-temporal analysis
    Content Climatological Data Analysis
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Provides a preliminary preparation for further doctoral education in the field. -
    2 Deepens the knowledge gained through undergraduate education in geography with the field of study to be chosen in master`s degree. -
    3 Uses the scientific and technological opportunities required by geography, especially Geographic Information Systems, and follows the innovations in this field. 3
    4 Knows the emergence of geography as a science and its phases and plans studies in accordance with the characteristics of these phases. -
    5 Reaches the information resources of geography and uses these resources effectively in his/her studies. 3
    6 Students will have the ability to participate in various projects by conducting studies at the level of analysis and evaluation on issues related to the field. 3
    7 Knows and uses scientific research methods related to geography. 4
    8 Performs his/her studies within the framework of scientific ethics and ethical rules. -
    9 By participating in interdisciplinary studies, combining the knowledge related to the field with the knowledge of other disciplines and uses it effectively. 4
    10 Learns to develop his/her knowledge and experience worldwide by following publications and developments in other languages in the field and by establishing contacts with colleagues or related institutions in other countries. -
    11 Develops theoretical and practical knowledge about Historical Geography and participates in the studies on this subject. -
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