TL0022 Advanced Statistical Analysis Techniques

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

Information

Code TL0022
Name Advanced Statistical Analysis Techniques
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

To teach the application of selected analysis methods to be used for statistical analysis of the obtained data and the interpretation of the results.

Course Content

Creating the statistical models in the studies related to thesis. Selection of appropriate statistical analysis for the experimental study. Parametric tests, nonparametric tests. Normal distribution test, randomness test. One way Anova, Univariate Anova and multivariate Anova tests. T-test in dependent and independent data. Regression analysis, correlation analysis, curve fitting. Textile applications of statistical methods with the help of computer aided statistical package program. Statistical analysis and interpretation of the results of experimental studies. Optimization techniques, mathematical modeling, use of the selected optimization package program.

Course Precondition

There are no prerequisites.

Resources

Lecture notes prepared by the course coordinator

Notes

Özdamar K., Statistical Data Analysis with Package Programs, Nisan Bookstore Publications


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Have advanced statistical analysis knowledge.
LO02 Can select the appropriate test method.
LO03 Applies advanced statistical methods with the help of package program.
LO04 Interpret applied statistical analysis.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Developing and intensifying knowledge in the textile engineering area, based upon the competency in M.S level 3
PLO02 Bilgi - Kuramsal, Olgusal Grasping the inter-disciplinary interaction related to textile engineering 4
PLO03 Bilgi - Kuramsal, Olgusal The ability to use the expert-level theoretical and practical knowledge acquired in textile engineering area 2
PLO04 Bilgi - Kuramsal, Olgusal Interpreting and forming new types of knowledge by combining the knowledge from the textile engineering area and the knowledge from various other disciplines 4
PLO05 Bilgi - Kuramsal, Olgusal Solving the problems faced in textile engineering area by making use of the research methods 3
PLO06 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Systematically transferring the current developments in textile engineering area and one’s own work to other groups in and out of the area; in written, oral and visual forms 5
PLO07 Yetkinlikler - Öğrenme Yetkinliği Using the knowledge and the skills for problem solving and/or application (which are processed within textile engineering) in inter-disciplinary studies 5
PLO08 Yetkinlikler - Öğrenme Yetkinliği The ability to present one’s own work within the international environments in textile engineering area, orally, visually and in written forms 2
PLO09 Bilgi - Kuramsal, Olgusal Developing and intensifying the current and high-level knowledge in the textile engineering area with the use of original thinking and/or research processes and in a specialistic level, based upon the competency in the undergraduate level
PLO10 Bilgi - Kuramsal, Olgusal The ability to evaluate and use new information in textile engineering with a systematical approach
PLO11 Bilgi - Kuramsal, Olgusal To be able to study in a programmatic manner, in accordance with the logical integrity required by the thesis subject and within the scope of the thesis determined by the supervisor. 3
PLO12 Bilgi - Kuramsal, Olgusal Contributing to the progress in textile engineering area by independently carrying out a study which uses a new idea, method, design and/or application which brings about innovation in the area; or, applying a conventional idea, method, design and/or application to a different environment 2
PLO13 Bilgi - Kuramsal, Olgusal Publishing at least one scientific article in the area of textile engineering in a national and international peer reviewed journal 4
PLO14 Yetkinlikler - Öğrenme Yetkinliği Contributing to the solution of textile engineering area-related social, scientific, cultural and ethical problems and promoting the development of these values


Week Plan

Week Topic Preparation Methods
1 The place and importance of statistical methods in engineering applications Lecture notes Öğretim Yöntemleri:
Anlatım
2 Introducing the menus of the selected statistical package program and making data entry Lecture notes Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
3 Selection of statistical analysis suitable for the applied experimental study. Parametric tests, non-parametric tests. Lecture notes Öğretim Yöntemleri:
Anlatım
4 Testing parametric test conditions Lecture notes Öğretim Yöntemleri:
Anlatım
5 One-factor and two-factor analysis of variance. Lecture notes Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
6 Multi-factor analysis of variance. Lecture notes Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
7 T-test with dependent and independent data. Lecture notes Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
8 Midterm Lecture notes Ölçme Yöntemleri:
Ödev
9 Regression analysis Lecture notes Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
10 correlation analysis, curve estimation Lecture notes Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
11 Textile applications of statistical methods with the help of computer aided statistical package program Lecture notes Öğretim Yöntemleri:
Gösterip Yaptırma
12 Applications of computer aided statistical package program Lecture notes Öğretim Yöntemleri:
Gösterip Yaptırma
13 Non-parametric tests (mann whitney u test, Friedman test, etc.) Lecture notes Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
14 Analyzing and interpreting the results of experimental studies statistically Lecture notes Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
15 Optimization techniques, mathematical modeling, use of optimization package program Lecture notes Öğretim Yöntemleri:
Anlatım
16 Final exam Lecture notes Ölçme Yöntemleri:
Ödev
17 Final exam Lecture notes Ölçme Yöntemleri:
Ödev


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: 13.05.2024 11:21