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
  • Visual Communication and Digital Media-Master without Thesis
  • Course Structure Diagram with Credits
  • Statistics for Social Sciences
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İLT558 - Statistics for Social Sciences
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) ÖĞRETİM GÖREVLİSİ DOKTOR ASLI KAYA KARAKÜTÜK
Mode of Delivery Face to Face
Prerequisites This course has no prerequisites or co-requisites.
Courses Recomended
Recommended Reading List
Assessment methods and criteria 1 midterm, 1 final
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Research and Statistics
Week - 2 Some Basic Issues in Research Design
Week - 3 Descriptive Statistics for Univariate Distributions (Frequency table, percentages, graphs)
Week - 4 Location and Variability measures
Week - 5 Statistics for the Joint Distribution
Week - 6 Linear Regression
Week - 7 The Logical Thinking Underlying Statistical Inference
Week - 8 Error in Statistical Inference
Week - 9 Probability Theory and Mathematical Distribution
Week - 10 Mathematical Distributions (Standard normal distribution and z table.)
Week - 11 Statistical Tests for Between-Groups Designs
Week - 12 Statistical Tests for In-Group and Mixed Research Designs
Week - 13 Application Examples in SPSS Program
Week - 14 Application Examples in SPSS Program

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Competences
  • Abstract analysis and synthesis
  • Problem solving
  • Organization and planning
  • Elementary computing skills

Assessment Methods

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