Information Package / Course Catalogue
Multidimensional Data Analysis
Course Code: BİS540
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

Description of dimension reduction and machine learning techniques in multidimensional data.

Course Content

Mathematical distance, dimension reduction, singular value decomposition and principal component analysis, multiple dimensional scaling plots, factor analysis, dealing with batch effects, clustering, heatmaps, basic machine learning concepts.

Name of Lecturer(s)
Learning Outcomes
1.To learn the basic concepts of multivariate data analysis
2.Learning multivariate data preprocessing methods
3.To be able to analyze multivariate data with statistical techniques
4.Learning the learning methods of statistics
5.To have knowledge about regression methods
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
General information
Week 2 - Theoretical
Data pre-processing techniques
Week 3 - Theoretical
Linear Algebra
Week 4 - Theoretical
Multivariate Distributions
Week 5 - Theoretical
Statistical Inference
Week 6 - Theoretical
MANOVA
Week 7 - Theoretical
Regression
Week 8 - Intermediate Exam
Midterm exam
Week 9 - Theoretical
Multiple Regression
Week 10 - Theoretical
Principal Component Analysis
Week 11 - Theoretical
Factor Analysis
Week 12 - Theoretical
Canonical Correlation Analysis
Week 13 - Theoretical
Statistical-based Classification Methods
Week 14 - Theoretical
Statistical-based Clustering Methods
Week 15 - Theoretical
Literature review and discussion
Week 16 - Theoretical
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Assignment100220
Quiz101120
Midterm Examination110111
Final Examination110111
TOTAL WORKLOAD (hours)104
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
4
4
3
4
3
3
4
3
3
OÇ-2
4
4
4
4
4
4
3
4
4
3
OÇ-3
3
4
4
3
4
4
4
3
4
4
OÇ-4
4
4
4
3
4
4
3
4
4
4
OÇ-5
3
3
3
4
5
4
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue