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Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| COMPUTER SCIENCES PR. | |
| Code | BBZ407 |
| Name | Multivariate Statistical Methods |
| Term | 2026-2027 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | FE Field Education Courses E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÜZİN YÜKSEL |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to teach students statistical methods used in the analysis of multivariate data and to enable them to apply these methods in practice.
Course Content
This course covers multiple regression analysis, factor analysis, cluster analysis, discriminant analysis, and their applications used in the analysis of multivariate data.
Course Precondition
There are no prerequisites.
Resources
1. Hüseyin Tatlıdil, Uygulamalı Çok Değişkenli İstatistiksel Analiz, Ziraat Matbaacılık A. Ş. Ankara, 2002. Şeref Kalaycı, SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, Asil Yayınevi, 2010.
Notes
Reha Alpar, Çok Değişkenli İstatistiksel Yöntemler, Detay Yayıncılık, 2011. Johnson, R. A. and Wichern, D. W. (1982). Applied Multivariate Statistical Analysis, Prentice-Hall.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Defines fundamental concepts related to multivariate statistics. |
| LO02 | Defines the techniques necessary to make inferences about relationships based on multivariate data. |
| LO03 | Uses the parameters of a multivariate normal distribution. |
| LO04 | Defines hypothesis tests for multivariate data. |
| LO05 | Performs calculations on multidimensional distributions and data. |
| LO06 | Uses multiple regression analysis for its intended purpose. |
| LO07 | Uses multivariate statistical methods in various interdisciplinary scientific fields. |
| LO08 | Performs computer-based calculations for the analysis of multidimensional data. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | |||
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| 7 | |||
| 8 | Mid-Term Exam | ||
| 9 | |||
| 10 | |||
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| 13 | |||
| 14 | |||
| 15 | |||
| 16 | Term Exams | ||
| 17 | Term Exams |
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 | ||