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
  • Introductory Bioinformatics
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title BİY431 - Introductory Bioinformatics
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 2+0
ECTS 4.0
Course Instructor(s) PROFESÖR MUHİTTİN ARSLANYOLU
Mode of Delivery Face to face
Prerequisites There is no prerequisite for this lecture.
Courses Recomended There is no recommended lecture from this lecture.
Recommended Reading List All book with bioinformatics topics is excaptable as recommended reading materials.
Assessment methods and criteria Assessment methods include one midterm and one final exam. The exams are generally classic and analitical based on databases in computer.
Work Placement This lecture is given as practices.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Bioinformatics
Week - 2 Short introduction to Molecular Biology; DNA, RNA, Protein, Genome
Week - 3 Tools of Scientific Research and gene cloning
Week - 4 PCR, gene spesific and degenary primer design
Week - 5 GeneBanks and their general use
Week - 6 Finding and downloading of DNA, RNA and protein sequences from GeneBanks: BLAST program
Week - 7 Analysis of DNA, RNA and protein sequences based on the online programs
Week - 8 Midterm
Week - 9 Multiple alignment (ClustalX)
Week - 10 Horizontal alignment of matching/unmatching multiple sequences
Week - 11 Prediction of protein 3D structure
Week - 12 Introduction to phylogenetic analysis
Week - 13 Phylogenetic analysis
Week - 14 Genome database and their use

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • Organization and planning
  • Decision making
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
2.Midterm Exam 1 25
Final Exam 1 50
Practice 1 25
Toplam (%) 100
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