CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Biostatistics BİY402 SPRING 2+2 C 4
    Learning Outcomes
    1-Estimates whether the data obtained with the help interpret results
    2-Knows and apply the basics of biostatistics
    3-Knows and apply the basics of biostatistics
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14456
    Classroom study (Pre-study, practice)14228
    Assignments0000
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)4011010
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 6011515
    Other 0000
    Total Workload (hours)   109
    Total Workload (hours) / 30 (s)     3,63 ---- (4)
    ECTS Credit   4
  • Course Content
  • Week Topics Study Metarials
    1 Statistics, Biostatistics and Basic Concepts K1) Lecture Notes
    2 Data, Variable and Measurement Levels K1) Lecture Notes
    3 Table and Graphic Production Methods K1) Lecture Notes
    4 Central tendency measures K1) Lecture Notes
    5 Central distribution measures K1) Lecture Notes
    6 Normal distribution and properties K1) Lecture Notes
    7 Parameter estimation, point estimation and confidence intervals K1) Lecture Notes
    8 Basic concepts of hypothesis testing K1) Lecture Notes
    9 Hypothesis testing (for one sample) K1) Lecture Notes
    10 Hypothesis testing (for two samples) K1) Lecture Notes
    11 Chi-square tests K1) Lecture Notes
    12 Relationship coefficients K1) Lecture Notes
    13 Variance analysis K1) Lecture Notes
    14 Regression analysis K1) Lecture Notes
    Prerequisites None
    Language of Instruction Turkish
    Responsible Dr. Öğr. Üyesi Tuba Koç
    Instructors -
    Assistants -
    Resources K1) Lecture notes K2)Sümbüloğlu, K. ve Sümbüloğlu, V. Biyoistatistik, 2010, Hatiboğlu yayınevi K3)Ünver, Ö. ve Gamgam, H.(2006). Uygulamalı istatistik Yöntemler, Seçkin yayıncılık, Ankara K4) Er, F., Peker, K.Ö., Biyoistatistik, Anadolu Üniversitesi Açıköğretim Fakültesi Yayını No: 1013
    Supplementary Book K5) Zar, J. H. ( 1998). Biostatistical Analysis, 4 edition , Prentice Hall , New Jersey
    Goals Basic statistical information and to provide information about some of the methods of statistical analysis.
    Content Basic concepts, Use of data, Central tendency measures, Normal distribution, Sampling, Estimation, Hypothesis tests, Chi-square tests, Relation coefficients, Variance analysis, Regression analysis
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Understands and applies the basic principles and theories of biology. -
    2 Applies techniques related to recognition, systematics, conservation and monitoring of diversity of plants, animals, fungi and micro-organisms. -
    3 Comprehends cell, tissue and systems of organisms. -
    4 Comprehends structure, function and physiological relationships of organisms. -
    5 Designs and carries out experiment, and analyze the results and evaluate them. 2
    6 Examines the relationship of organisms with each other and with their environment, and uses monitoring techniques. -
    7 Understands technologies including the latest developments in biology. -
    8 Able to use information obtained from biology on health, environment, technology, industry, and industrial facilities. -
    9 Ability to work interdisciplinary individually and as a team. 4
    10 Ability to express his/her knowledge orally and in writing. -
    11 Comprehends professional, scientific and ethical responsibilities. -
    12 Gains the ability to identify biological problems. 3
    13 Gains the ability to use modern techniques, tools and to follow developments in biological applications. -
    14 Gains the ability to transform acquisitions into the product which could contribute to country`s economy. -
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