EKMZ307 Multivariate Statistical Analysis

5 ECTS - 3-0 Duration (T+A)- 5. Semester- 3 National Credit

Information

Code EKMZ307
Name Multivariate Statistical Analysis
Term 2023-2024 Academic Year
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. EBRU ÖZGÜR GÜLER
Course Instructor Dr. Öğr. Üyesi Sibel ÖRK ÖZEL (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to bring the knowledge of building the data matrix for multivariate analysis, choosing the most suitable method for the data, and application of the proper technique once the assumptions are verified.

Course Content

The course content covers the building of multivariate data, which includes understanding, preparing and transforming of the data, comparing the methods related to dimension reduction and classification, assumptions and applications of multivariate techniques.

Course Precondition

None

Resources

Uygulamalı çok değişkenli istatistiksel analiz, Hacettepe TAŞ yayınları, Prof. Dr. Hüseyin Tatlıdil

Notes

Çok değişkenli istatistiksel yöntemler, detay yayıncılık, Prof. Dr. Reha Alpar, 2020


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains multivariate data
LO02 Builds the data matrix
LO03 Knows dimension reduction techniques
LO04 Knows classification methods
LO05 Discriminates the most proper analysis technique for the data being analyzed
LO06 Uses a package program to analyze each technique
LO07 Appropriately interprets findings of analysis


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research 4
PLO02 Bilgi - Kuramsal, Olgusal Acquires basic Mathematics, Statistics and Operation Research concepts 4
PLO03 Bilgi - Kuramsal, Olgusal Describes the necessary concepts of Business
PLO04 Beceriler - Bilişsel, Uygulamalı Equipped with the foundations of Economics, and develops Economic models
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 Beceriler - Bilişsel, Uygulamalı Has the ability to analyze/interpret at the conceptual level to develop solutions to problems 4
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data 5
PLO08 Beceriler - Bilişsel, Uygulamalı Interprets the results analyzed with the model 5
PLO09 Beceriler - Bilişsel, Uygulamalı Combines the information obtained from different sources within the framework of academic rules in a field which does not research 3
PLO10 Beceriler - Bilişsel, Uygulamalı It develops traditional approaches, practices and methods into new working methods when it deems necessary
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO12 Yetkinlikler - Öğrenme Yetkinliği In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities
PLO13 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in its field.
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research 5
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses Turkish and at least one other foreign language, academically and in the business context
PLO16 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on current economic and social issues
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Motivation: A Review of references and introductory matrix algebra Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Örnek Olay
2 Building the data matrix for multivariate analysis and descriptive statistics Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Deney / Laboratuvar
3 Multivariate graphics, standardization and multivariate normal distribution Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Örnek Olay, Deney / Laboratuvar, Problem Çözme
4 Examination of outliers and missing data in multivariate analysis, distance and similiarity measures Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Deney / Laboratuvar
5 Canonical correlation analysis and its applications Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Deney / Laboratuvar
6 Dimension Reduction: Factor analysis and its assumptions Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Deney / Laboratuvar
7 Dimension Reduction (cont): Factor analysis and its applications Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar
8 Mid-Term Exam General review for the midterm exam Ölçme Yöntemleri:
Yazılı Sınav
9 Classification: Clustering analysis and its assumptions Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Örnek Olay, Deney / Laboratuvar
10 Classification (cont): Clustering analysis and its assumptions Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Deney / Laboratuvar
11 Classification: Assumptions of discriminant analysis Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar
12 Classification (cont): Applications of discriminant analysis Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Deney / Laboratuvar
13 Discussion of papers about canonical correlation and factor analysis Related chapters of reference books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Grup Çalışması
14 Discussion of papers about clustering analysis Related chapters of reference books Öğretim Yöntemleri:
Grup Çalışması, Proje Temelli Öğrenme
15 Discussion of papers about discriminant analysis Related chapters of reference books Öğretim Yöntemleri:
Tartışma, Grup Çalışması
16 Term Exams General review for the final exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams General review for the final exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 09.05.2023 09:14