TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. (ENGLISH) | |
| Code | ECMZ307 |
| Name | Multivariate Statistical Analysis |
| Term | 2018-2019 Academic Year |
| Semester | 5. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. HÜSEYİN GÜLER |
| Course Instructor |
Prof. Dr. HÜSEYİN GÜLER
(Güz)
(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
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains multivariate data |
| LO02 | Builds the data matrix |
| LO03 | Knows dimension reduction techniques and explains their assumptions |
| LO04 | Knows classification methods and explains their assumptions |
| 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 | - | Explains Econometric concepts | 3 |
| PLO02 | - | Acquires basic Mathematics, Statistics and Operation Research concepts | 4 |
| PLO03 | - | Equipped with the foundations of Economics, and develops Economic models | 0 |
| PLO04 | - | Describes the necessary concepts of Business | 0 |
| PLO05 | - | Models problems with Mathematics, Statistics, and Econometrics | 0 |
| PLO06 | - | Estimates the model consistently and analyzes & interprets its results | 5 |
| PLO07 | - | Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems | 4 |
| PLO08 | - | Collects, edits, and analyzes data | 5 |
| PLO09 | - | Uses a package program of Econometrics, Statistics, and Operation Research | 3 |
| PLO10 | - | Effectively works, take responsibility, and the leadership individually or as a member of a team | 1 |
| PLO11 | - | Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study | 1 |
| PLO12 | - | Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied | 2 |
| PLO13 | - | Uses Turkish and at least one other foreign language, academically and in the business context | 1 |
| PLO14 | - | Good understanding, interpretation, efficient written and oral expression of the people involved | 1 |
| PLO15 | - | Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development | 0 |
| PLO16 | - | Questions traditional approaches and their implementation while developing alternative study programs when required | 3 |
| PLO17 | - | Recognizes and implements social, scientific, and professional ethic values | 1 |
| PLO18 | - | Follows actuality, and interprets the data about economic and social events | 1 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Motivation: A Review of references and introductory matrix algebra | Related chapters of reference books | |
| 2 | Building the data matrix for multivariate analysis and descriptive statistics | Related chapters of reference books | |
| 3 | Multivariate graphics, standardization and multivariate normal distribution | Related chapters of reference books | |
| 4 | Exploring data before the analysis | Related chapters of reference books | |
| 5 | Canonical correlation analysis and its applications | Related chapters of reference books | |
| 6 | Dimension Reduction: Factor analysis and its assumptions | Related chapters of reference books | |
| 7 | Dimension Reduction (cont): Factor analysis and its applications | Related chapters of reference books | |
| 8 | Mid-Term Exam | General review for the midterm exam | |
| 9 | Classification: Clustering analysis and its assumptions | Related chapters of reference books | |
| 10 | Classification (cont): Clustering analysis and its assumptions | Related chapters of reference books | |
| 11 | Classification: Assumptions of discriminant analysis | Related chapters of reference books | |
| 12 | Classification (cont): Applications of discriminant analysis | Related chapters of reference books | |
| 13 | Discussion of papers about canonical correlation and factor analysis | Related chapters of reference books | |
| 14 | Discussion of papers about clustering analysis | Related chapters of reference books | |
| 15 | Discussion of papers about discriminant analysis | Related chapters of reference books | |
| 16 | Term Exams | General review for the final exam | |
| 17 | Term Exams | General review for the final exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | ||