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
  • Institute of Graduate Programmes
  • Department of Advanced Technologies
  • Master of Science (MS) Degree
  • Program in Nanotechnology (English)
  • Course Structure Diagram with Credits
  • Seminar
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title İTN592 - Seminar
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ İLKER DEMİROĞLU, PROFESÖR DOKTOR FERİDUN AY, DOKTOR ÖĞRETİM ÜYESİ İLKER DEMİROĞLU, PROFESÖR DOKTOR FERİDUN AY, PROFESÖR DOKTOR ÜNAL ŞEN, PROFESÖR DOKTOR AYDIN DOĞAN, DOKTOR ÖĞRETİM ÜYESİ EMRAH DÖLEKÇEKİÇ
Mode of Delivery face to face
Prerequisites
Courses Recomended
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria
Work Placement
Sustainability Development Goals Quality Education

Content

Weeks Topics
Week - 1 What is research method? Why is the research important? what are the Ethical rules in the researches?
Week - 2 EN: Research approaches on natural sciences. Basic principles of qualitative approach
Week - 3 The basic principles of quantitative approach Researches in which both approaches are used
Week - 4 Researches stages Defining the researches topics Literature (journals, e-journals, books, internet sources)
Week - 5 finding of key words for the researches National and International Journals on Special Education
Week - 6 Summary Defining tha researches problem
Week - 7 Defining goal and subgoals of the research Data Collection Qualitative data collection
Week - 8 Defining the researches goals. Data Collection Qualitative data collection
Week - 9 Quantitative data collection Planning for data collection
Week - 10 Data analysing and comments Analysing the qualitative data
Week - 11 Quantitative data analysing
Week - 12 Qualitative data analysing
Week - 13 Qualitative data analysing
Week - 14 Reporting the research Preparing a research project

Learning Activities and Teaching Methods

  • Competences
  • Productive
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Eleştirel düşünebilme
  • Applying theoretical knowledge into practice
  • Concern for quality
  • Information Management
  • To work autonomously

Assessment Methods

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