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
  • Faculty of Science
  • Department of Biology
  • Course Structure Diagram with Credits
  • Genetic Laboratory
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title BİY360 - Genetic Laboratory
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 0+2
ECTS 2.0
Course Instructor(s) PROFESÖR DOKTOR BERRİN TÜYLÜ, PROFESÖR DOKTOR BERRİN TÜYLÜ
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.
Recommended Reading List
Assessment methods and criteria 4 Partite Mid-term Exam, 1 Aplication, 1 Final Exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Laboratory plan, describtion of experiments and how to write a lab report
Week - 2 Fundementals of genetics of mitosis, preparation of mitosis division and karyotype analysis
Week - 3 Examination of human chromosome mophology
Week - 4 In human mitosis, sisterchromatid exchanges
Week - 5 In human cells, micronucleus formation based on the mitotic chromosomal abnormality
Week - 6 X (Sex) chromosome analysis in human
Week - 7 Drosophila morphology and introduction to its genetics
Week - 8 Drosophila sex determination
Week - 9 Unfertilized Drosophila collection and monohybrid crossing
Week - 10 Drosophila dihybrid crossing
Week - 11 Drosophila sex dependent crossing
Week - 12 Drosophila sex dependent crossing
Week - 13 Drosophila sex dependent crossing
Week - 14 The chi-square analysis of the Drosophila crossing data and its evaluation

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Observation
  • Field Trip
  • Team/Group Work
  • Demonstration
  • Experiment
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Role Playing/Dramatization
  • Competences
  • Productive
  • True to core values
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Civic awareness
  • Effective use of Turkish
  • Environmental awareness
  • Work in teams

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Quiz 1 30
Final Exam 1 45
Practice 1 25
Toplam (%) 100
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