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 Biology
  • Doctorate Degree (Ph.D)
  • Course Structure Diagram with Credits
  • Statistical Analyses in Biology
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title BİY671 - Statistical Analyses in Biology
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) PROFESÖR DOKTOR HARUN BÖCÜK
Mode of Delivery The mode of delivery of this course is Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Required or Recommended Resources There is no recomended or required reading.
Recommended Reading List There is no recomended reading list.
Assessment methods and criteria 1 Mid-term Exam, 1 Final Exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Statistics
Week - 2 Basic concepts
Week - 3 Decision making: When and which analysis?
Week - 4 Introduction to SPSS statistic programme
Week - 5 Parametric tests: One-sample t test and its applications in biology
Week - 6 Parametric tests: Independent sample t test and its applications in biology
Week - 7 Parametric tests: Paired-samples t test and its applications in biology
Week - 8 Parametric tests: One-way ANOVA test and its applications in biology
Week - 9 Parametric tests: Two-way ANOVA test and its applications in biology
Week - 10 Parametric tests: Correlation analysis and its applications in biology
Week - 11 Parametric tests: Regression analysis and its applications in biology
Week - 12 Parametric tests: Cluster analysis and its applications in biology
Week - 13 Introduction to non-parametric tests
Week - 14 Non-parametric tests: chi-square test

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Drill - Practise
  • Case Study
  • Competences
  • Productive
  • Rational
  • Questoning
  • Follow ethical and moral rules
  • Environmental awareness
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • To work autonomously
  • Decision making

Assessment Methods

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