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Information
| Code | IEM1809 |
| Name | Multivariate Statistical Analysis 1 |
| Term | 2023-2024 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 4-0 (T-A) (17 Week) |
| ECTS | 8 ECTS |
| National Credit | 4 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora 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 bring the knowledge of multivariate analysis with theoretical perspective and application with SPSS for analyzed, interpreted.
Course Content
The course content covers the intrroducing of multivariate data matrix and some multivariate techniques which are factor analysis, canonical correlation, clustering and discriminant analysis.
Course Precondition
None
Resources
Applied Multivariate Statistical Analysis, R.A. Johnson and D.W. Wichern, Pearson
Notes
The student can use scientific articles that can be found online once the theoritical background is completed
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains multivariate data matrix |
| LO02 | Builds multivariate data matrix |
| LO03 | Explains dimension reduction techniques assumptions |
| LO04 | Knows dimension reduction techniques |
| LO05 | Knows classificaions methods a |
| LO06 | Explains classificaions methods assumptions |
| LO07 | Discriminates the most proper analysis technique for the data being analyzed |
| LO08 | Uses SPSS package program to analyze each technique |
| LO09 | Appropriately interprets findings of analysis |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Identify an econometric problem and propose a new solution to it | 2 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explain for what purpose and how econometric methods are applied to other fields and disciplines | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | 5 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 4 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Collects data on purpose | 4 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research | 3 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 4 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | 3 |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | It researches current approaches and methods to solve the problems it encounters and proposes new solutions | 5 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops long-term plans and strategies using econometric and statistical methods | 1 |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem | 3 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads the team by taking responsibility | 3 |
| 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 acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code | 3 |
| PLO19 | 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 | |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values | |
| PLO21 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Motivation: A Review of references and introductory matrix algebra | No more preparations required | Öğretim Yöntemleri: Anlatım |
| 2 | Building data matrix for multivariate analysis and the descriptive statistics | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Örnek Olay |
| 3 | Preparing data: examination of outliers and missing data, some distance and similiarity measures | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Örnek Olay, Problem Çözme |
| 4 | Dimension Reduction: Factor analysis and its assumptions | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma |
| 5 | An applications of Factor analysis in SPSS | Computer applications | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma |
| 6 | Research and discussion of articles based on factor analysis in literature | Internet databases | Öğretim Yöntemleri: Tartışma, Örnek Olay, Bireysel Çalışma, Problem Çözme |
| 7 | Canonical correlations, its assumptions and applications in SPSS | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Mid-Term Exam | Review of topics | Ölçme Yöntemleri: Proje / Tasarım, Performans Değerlendirmesi |
| 9 | Research and discussion of articles based on canonical correlations in literature | Internet databases | Öğretim Yöntemleri: Tartışma, Örnek Olay, Bireysel Çalışma, Problem Çözme |
| 10 | Classification: Clustering analysis, its assumptions and sort of clustering methods | Related chapters of reference books | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | An applications of Hiyerarchical and Non Hiyerarchical cluster analysis in SPSS | Computer applications | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 12 | Research and discussion of articles based on cluster analysis in literature | Internet databases | Öğretim Yöntemleri: Tartışma, Örnek Olay, Bireysel Çalışma, Problem Çözme |
| 13 | Classification: Clustering analysis and its assumptions | Related chapters of reference books | Öğretim Yöntemleri: Anlatım |
| 14 | An applications of Discriminant analysis in SPSS | Computer applications | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | Research and discussion of articles based on Discriminant analysis in literature | Internet databases | Öğretim Yöntemleri: Tartışma, Örnek Olay, Bireysel Çalışma, Problem Çözme |
| 16 | Term Exams | Review of topics | Ölçme Yöntemleri: Ödev, Proje / Tasarım, Performans Değerlendirmesi |
| 17 | Term Exams | Review of topics | Ölçme Yöntemleri: Ödev, Proje / Tasarım, Performans Değerlendirmesi |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 8 | 112 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 4 | 8 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 212 | ||
| Total Workload / 25 (h) | 8,48 | ||
| ECTS | 8 ECTS | ||