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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| ECONOMETRICS (MASTER) (WITH THESIS) | |
| Code | IEM740 |
| Name | Multivariate Statistical Analysis Methods |
| Term | 2018-2019 Academic Year |
| Term | Fall |
| 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 |
The current term course schedule has not been prepared yet.
|
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
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains multivariate data |
| LO02 | Knows dimension reduction techniques and explains their assumptions |
| LO03 | Knows classification methods and explains their assumptions |
| 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 |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains contemporary concepts about Econometrics, Statistics, and Operation Research | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 3 |
| 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 of 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 | 4 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Collects/analyzes data in a purposeful way | 5 |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops solutions for organizations using Econometrics, Statistics, and Operation Research | 4 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | 5 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 4 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| PLO17 | 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 | |
| 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 | 4 |
| 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 | ||
| 2 | Building data matrix for multivariate analysis and the descriptive statistics | Reading related chapter from the reference book | |
| 3 | Multivariate graphics, standardization and multivariate normal distribution | Reading related chapter from the reference book | |
| 4 | Examination of outliers and missing data in multivariate analysis, distance and similiarity measures | Reading related chapter from the reference book | |
| 5 | Multivariate hypothesis tests | Reading related chapter from the reference book | |
| 6 | Dimension Reduction: Factor analysis and its assumptions | Reading related chapter from the reference book | |
| 7 | Dimension Reduction (cont): Factor analysis and its assumptions | Reading related chapter from the reference book | |
| 8 | Mid-Term Exam | General review | |
| 9 | Classification: Clustering analysis and its assumptions | Reading related chapter from the reference book | |
| 10 | Classification (cont): Clustering analysis and its assumptions | Reading related chapter from the reference book | |
| 11 | Classification: Assumptions of discriminant analysis | Reading related chapter from the reference book | |
| 12 | Classification (cont): Applications of discriminant analysis | Reading related chapter from the reference book | |
| 13 | Classification: Assumptions of logistic regression | Reading related chapter from the reference book | |
| 14 | Classification (cont): Applications of logistic regression | Reading related chapter from the reference book | |
| 15 | General review and computer applications | Reading related chapter from the reference book | |
| 16 | Term Exams | General review | |
| 17 | Term Exams | General review |
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 | ||