CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Statistics CIS110 SPRING 2+0 Fac./ Uni. C 3
    Learning Outcomes
    1-Definition of statistics and basic information about statistics
    2-The importance of statistics
    3-Techniques for collecting, organizing and presenting data on statistical events
    4-Techniques of means and measures of dispersion characterizing the data obtained
    5-Standard deviations
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14228
    Classroom study (Pre-study, practice)14342
    Assignments0000
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)4010110
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 6010110
    0000
    Total Workload (hours)   90
    Total Workload (hours) / 30 (s)     3 ---- (3)
    ECTS Credit   3
  • Course Content
  • Week Topics Study Metarials
    1 Definitions and basic concepts of statistics K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 1-10
    2 The importance of statistics and applied areas K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 11-20
    3 Statistics about the objectives and statistical concepts K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 21-30
    4 Data collection and editing K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 31-40
    5 And presentation of data to be presented to benefit techniques K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 41-50
    6 Data are graphically displayed K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 51-60
    7 Central tendency measures K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 61-70
    8 Central tendency measures K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 71-80
    9 Center distribution measurements K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 81-90
    10 Measures related to central distribution applications K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 91-100
    11 Central tendency and central distribution measures comparisons K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 101-110
    12 Indexes K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 111-120
    13 Probability K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 121-130
    14 Regression, trend, correlation K1: Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler SLAYT: 131-140
    Prerequisites -
    Language of Instruction Turkish
    Responsible Öğr.Gör.Gönül GÜL EKŞİ
    Instructors -
    Assistants -
    Resources K1: Yıldız, E. (2016).Kolay Öğrenme Yöntemi ile Meslek Yüksekokulu Ders İçeriğine Uygun İstatistik Bankacılık, Finans ve Ticari İşlemler , Seçkin Yayıncılık, Ankara.
    Supplementary Book -
    Goals One statistical incident data collection, editing, presentation of data characterized by the values and to calculate the need for these terms to describe,To be able to collect, organize, present the data of a statistical event, calculate the values characterizing the data and explain the terms required for these.
    Content Teaching the concept of statistics, statistical calculations and all subjects
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Being able to independently carry out a basic level study related to the field. -
    2 To have basic theoretical and applied knowledge supported by textbooks containing current information in the field, application tools and other resources based on the qualifications gained at secondary education level. -
    3 Gaining the skills to use the basic theoretical and applied knowledge acquired in the field at an advanced education level in the same field or in a field at the same level. 3
    4 To be able to interpret and evaluate data, define and analyze problems, and develop solutions based on evidence, using the basic knowledge and skills acquired in the field. 2
    5 Being able to take responsibility as a team member to solve unforeseen complex problems encountered in applications related to the field. 3
    6 To be able to carry out activities for the development of the employees under his/her responsibility within the framework of a project. -
    7 To be able to critically evaluate the basic level of knowledge and skills acquired in the field, to identify and meet learning needs. -
    8 Ability to direct one`s education to an advanced level of education in the same field or to a profession of the same level -
    9 Gaining awareness of lifelong learning -
    10 He/she can convey his/her thoughts through written and verbal communication at the level of basic knowledge and skills related to his/her field. 1
    11 He/she can share his/her thoughts on the issues related to his/her field and solution suggestions for problems with experts and non-experts. -
    12 Be able to follow the information in the field and communicate with colleagues by using a foreign language at least at the A2 General Level of the European Language Portfolio. 4
    13 He/she can use information and communication technologies together with computer software at minimum European Computer License Basic Level required by his/her field. 3
    14 Have sufficient awareness of the universality of social rights, social justice, quality and cultural values, environmental protection, occupational health and safety. 3
    15 Has social, scientific, cultural and ethical values in the stages of collecting data related to her field, applying and announcing the results. 3
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