Information Package / Course Catalogue
Mutivariate Statistical Methods-I
Course Code: BİS602
Course Type: Required
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

Purpose of Multivariate Statistical Analysis, Matrix Theory, Multivariate Normal Distribution, Multivariate Hypothesis Tests

Course Content

Introducing to puposes of using multivariate analysis and introducing multivariate distributions.

Name of Lecturer(s)
Learning Outcomes
1.Learning the basic concepts of multivariate statistics
2.Learn when to use common multivariate statistical methods
3.Learn the strength and weaknesses of the above mentioned methods
4.Interpret results from articles that have applied multivariate statistics
5.Describe how to optimize the design of a study with respect to the above mentioned multivariate statistical methods
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Application purpose of multivariate statistical analysis
Week 1 - Practice
Analysis techniques with package programs
Week 2 - Theoretical
Matrix Theory in Multivarite Statistical Analysis - I
Week 2 - Practice
Analysis techniques with package programs
Week 3 - Theoretical
Matrix Theory in Multivarite Statistical Analysis - II
Week 3 - Practice
Analysis techniques with package programs
Week 4 - Theoretical
Continuous Multivariate Distributions - I
Week 4 - Practice
Analysis techniques with package programs
Week 5 - Theoretical
Continuous Multivariate Distributions - II
Week 5 - Practice
Analysis techniques with package programs
Week 6 - Theoretical
Continuous Multivariate Distributions - III
Week 6 - Practice
Analysis techniques with package programs
Week 7 - Theoretical
Continuous Multivariate Distributions - IV
Week 7 - Practice
Analysis techniques with package programs
Week 8 - Theoretical
Literature review and discussion (Midterm exam)
Week 9 - Theoretical
Multivariate Normal Distribution - I
Week 9 - Practice
Analysis techniques with package programs
Week 10 - Theoretical
Multivariate Normal Distribution - II
Week 10 - Practice
Analysis techniques with package programs
Week 11 - Theoretical
Multivariate Normal Distribution - III
Week 11 - Practice
Analysis techniques with package programs
Week 12 - Theoretical
Multivariate Normal Distribution - IV
Week 12 - Practice
Analysis techniques with package programs
Week 13 - Theoretical
Multivariate Hypothesis Tests - I
Week 13 - Practice
Analysis techniques with package programs
Week 14 - Theoretical
Multivariate Hypothesis Tests - II
Week 14 - Practice
Analysis techniques with package programs
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment1202
Quiz2216
Midterm Examination110212
Final Examination120222
TOTAL WORKLOAD (hours)98
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
OÇ-2
4
3
4
5
4
5
5
OÇ-3
5
3
5
5
4
3
4
OÇ-4
4
4
3
4
3
5
5
OÇ-5
4
3
3
3
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026