Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Department of Advanced Technologies
  • Master of Science (MS) Degree
  • Program in Biotechnology
  • Course Structure Diagram with Credits
  • Biometer
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İTB507 - Biometer
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOÇENT DOKTOR KADİR ÖZGÜR PEKER
Mode of Delivery Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended -
Required or Recommended Resources Peker, K.Ö., Er, F., Bal, C. “Sağlık Alanında İstatistik”, TC. Anadolu Üniversitesi Yayını, No: 3238, Açıköğretim Fakültesi Yayını No: 2103, Eskişehir, 2016.
Recommended Reading List Serper, Ö. (1996) Uygulamalı İstatistik I, İstanbul, Filiz Kitabevi. Sokal, R.R. & F.J. Rohlf (1981), Biometry, Second Ed., W.H. Freeman and Company New York.
Assessment methods and criteria 1 midterm exam and 1 final exam will be held and exams will be classical.
Work Placement -
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Fundamental concepts
Week - 2 Frequency distributions
Week - 3 Graphical representation of data
Week - 4 Measures of Central Tendency
Week - 5 Measures of Variation
Week - 6 Symmetry and asymmetry in frequency distributions
Week - 7 Normal distribution
Week - 8 Sampling
Week - 9 Point and interval estimations
Week - 10 Hypothesis testing
Week - 11 Analysis of variance
Week - 12 Correlation analysis
Week - 13 Regression Analysis
Week - 14 Non-parametric statistics

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Observation
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Competences
  • Productive
  • Rational
  • Questoning
  • Effective use of a foreign language
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • To work autonomously
  • Elementary computing skills
  • Decision making
  • To work in interdisciplinary projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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