IEM740 Multivariate Statistical Analysis Methods

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

Information

Code IEM740
Name Multivariate Statistical Analysis Methods
Term 2023-2024 Academic Year
Term Fall and Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. EBRU ÖZGÜR GÜLER
Course Instructor
1


Course Goal / Objective

The aim of this course is to enable the students to build the data matrix for multivariate analysis, to choose the most suitable method for the data, and to apply 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 the data, comparing the methods related to dimension reduction and classification, assumptions and applications of multivariate techniques.

Course Precondition

None

Resources

Sosyal Bilimlerde SPSS Uygulamalı Çok değişkenli istatistiksel analiz teknikleri, Sevda Gürsakal, Dora yayıncılık

Notes

SPSS Uygulamalı Çok değişkenli istatistik teknikleri, 6. baskı, Nadir Kitap, Editör: Prof. Dr. Şeref Kalaycı


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains multivariate data
LO02 Differentiate dimension reduction techniques
LO03 Align classification methods
LO04 Discriminates the most proper analysis technique for the data considered
LO05 Uses a software package to do analysis for each technique and interprets obtained results
LO06 Comments articles on dimension reduction methods
LO07 Comments articles on size classification methods


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains contemporary concepts about Econometrics, Statistics, and Operation Research 3
PLO02 Bilgi - Kuramsal, Olgusal Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research 4
PLO03 Bilgi - Kuramsal, Olgusal Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences 2
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 4
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 4
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 5
PLO07 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research 4
PLO08 Beceriler - Bilişsel, Uygulamalı Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution
PLO09 Beceriler - Bilişsel, Uygulamalı Searches for new approaches and methods to solve problems being faced 3
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 5
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way 3
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 3
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research 1
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research 3
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO16 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code 4
PLO18 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
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues 5
PLO20 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 Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım
2 Building data matrix for multivariate analysis and the descriptive statistics Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım
3 Multivariate graphics, standardization and multivariate normal distribution Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım
4 Examination of outliers and missing data in multivariate analysis, distance and similiarity measures Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Multivariate hypothesis tests Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Dimension Reduction: Factor analysis and its assumptions Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
7 Dimension Reduction (cont): Factor analysis and its assumptions Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
8 Mid-Term Exam General review Ölçme Yöntemleri:
Performans Değerlendirmesi
9 Classification: Clustering analysis and its assumptions Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
10 Classification (cont): Clustering analysis and its assumptions Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
11 Classification: Assumptions of discriminant analysis Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
12 Classification (cont): Applications of discriminant analysis Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
13 Classification: Assumptions of logistic regression Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
14 Classification (cont): Applications of logistic regression Reading related chapter from the reference book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
15 General review and computer applications Reading related chapter from the reference book Öğretim Yöntemleri:
Deney / Laboratuvar
16 Term Exams General review Ölçme Yöntemleri:
Proje / Tasarım
17 Term Exams General review Ölçme Yöntemleri:
Proje / Tasarım


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 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 11.05.2023 04:36