Information Package / Course Catalogue
Applied Multivariate Statistical Methods-I
Course Code: BİS503
Course Type: Required
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

Providing theoretical and practical knowledge about multivariate statistical methods

Course Content

Matrices algebra, multivariate normal distribution, inferences in multivariate means and linear models, principle components, factor analysis, discriminant analysis, culuster analysis.

Name of Lecturer(s)
Learning Outcomes
1.To be ale to comprehend the concept and terminolgy of multivariate methods
2.To be able to comprehend and apply matrices and vectors algebra for multivariate problems
3.To be able to coprehend multivariate normal distribution
4.To be able to compare multivariate means
5.To be able to comprehend and apply principle components analaysis, factor analaysis, discriminant analaysis and cluster analysis
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Matrices algebra
Week 1 - Practice
Applications with package programs
Week 2 - Theoretical
Multivariate normal distribution
Week 2 - Practice
Applications with package programs
Week 3 - Theoretical
Multivariate normal distribution
Week 3 - Practice
Applications with package programs
Week 4 - Theoretical
Inferences in multivariate means and linear models
Week 4 - Practice
Applications with package programs
Week 5 - Theoretical
Inferences in multivariate means and linear models
Week 5 - Practice
Applications with package programs
Week 6 - Theoretical
Principle component analysis
Week 6 - Practice
Applications with package programs
Week 7 - Theoretical
Principle component analysis
Week 7 - Practice
Applications with package programs
Week 8 - Intermediate Exam
Midterm exam
Week 9 - Theoretical
Factor analysis
Week 9 - Practice
Applications with package programs
Week 10 - Theoretical
Factor analysis
Week 10 - Practice
Applications with package programs
Week 11 - Theoretical
Discriminant analysis
Week 11 - Practice
Applications with package programs
Week 12 - Theoretical
Discriminant analysis
Week 12 - Practice
Applications with package programs
Week 13 - Theoretical
Cluster analysis
Week 13 - Practice
Applications with package programs
Week 14 - Theoretical
Cluster analysis
Week 14 - Practice
Applications with package programs
Week 15 - Theoretical
Literature review and discussion
Week 15 - Practice
Literature review and discussion
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment110010
Quiz142142
Midterm Examination120222
Final Examination120222
TOTAL WORKLOAD (hours)152
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
4
5
4
4
4
4
4
4
4
4
OÇ-2
4
4
4
4
4
4
4
4
4
5
OÇ-3
4
5
4
4
4
4
4
4
4
4
OÇ-4
5
5
5
5
5
5
5
5
5
5
OÇ-5
4
5
5
5
4
5
4
5
5
5
Adnan Menderes University - Information Package / Course Catalogue