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 Statistics (30% English)
  • Course Structure Diagram with Credits
  • Multivariate Statistics
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information
Code - Course Title İST457 - Multivariate Statistics
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 4+1
ECTS 6.0
Course Instructor(s) PROFESÖR DOKTOR BETÜL KAN KILINÇ
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 The instructor will provide a course pack(bulk pack) with all suggested readings
Recommended Reading List • Applied Multivariate Statistical Analysis, Johnson and Wichern, 2004.
Assessment methods and criteria 2 Mid-term and 1 Final Exams. Exams will be applied by classical method.
Work Placement Not available.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 EN: Multivariate Data
Week - 2 EN: Distance, Matrices and Random Vectors, Positive Definite matrices
Week - 3 EN: EN: Graphs in n-dimensinal space
Week - 4 EN: Linear combinations of random vectors
Week - 5 Variance-Covariance and Correlation Matrix
Week - 6 EN: Expected Value, Mean and Variance of Linear Combinations
Week - 7 Multivariate Normal Dist.
Week - 8 EN: Hypothesis testing
Week - 9 EN: EN: MANOVA
Week - 10 EN: EN: Principal Component Analysis: Factor Analysis
Week - 11 EN: Cluster Analysis
Week - 12 EN:Canonical Corelation
Week - 13 EN: Discriminant Analysis
Week - 14 review of the course

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Observation
  • Team/Group Work
  • Demonstration
  • Experiment
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Competences
  • True to core values
  • Creative
  • Environmental awareness

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 20
2.Midterm Exam 1 30
Final Exam 1 50
Toplam (%) 100
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