BT535 Multivariate Statistical Analysis Methods in Biotechnology

6 ECTS - 2-2 Duration (T+A)- . Semester- 3 National Credit

Information

Code BT535
Name Multivariate Statistical Analysis Methods in Biotechnology
Term 2023-2024 Academic Year
Term Fall
Duration (T+A) 2-2 (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 Prof. Dr. GÖKHAN TAMER KAYAALP
Course Instructor
1


Course Goal / Objective

The aim of this course is to analyze the use of multivariate statistical analyzes from statistical analysis and to make analysis and interpretation in package programs.

Course Content

This course covers multivariate statistical analysis methods.

Course Precondition

None

Resources

Unpublished Lecture Text Notes

Notes

Alpar, R. , 2003, Multivariate Statistical Methods


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Knows which statistical analysis methods will be applied to the data obtained from biotechnology.
LO02 Learns synthesis and analysis.
LO03 Learns the use of package programs.
LO04 Learns multivariate statistical methods.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Develop and deepen the current and advanced knowledge in the field with original thought and / or research at the level of expertise based on the qualifications of the graduate and reach the original definitions that will bring innovation to the field. 5
PLO02 Bilgi - Kuramsal, Olgusal Understands the interdisciplinary interaction of the field; it achieves original results using knowledge requiring expertise in analysis, synthesis and evaluation of new and complex ideas. 5
PLO03 Beceriler - Bilişsel, Uygulamalı Evaluates, uses and transfers new information in the field with a systematic approach.
PLO04 Beceriler - Bilişsel, Uygulamalı Makes critical analysis, synthesis and evaluation of new and complex thoughts. 3
PLO05 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Makes leadership in environments that require the analysis of original and interdisciplinary problems.
PLO06 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği It extends the limits of knowledge in its field by publishing at least one scientific article in its field in national and / or international refereed journals and / or producing or interpreting an original work. 2
PLO07 Yetkinlikler - Öğrenme Yetkinliği Develops new ideas and methods related to the field by using high level mental processes such as creative and critical thinking, problem solving and decision making.
PLO08 Yetkinlikler - İletişim ve Sosyal Yetkinlik He / she defends his / her original opinions in discussing the subjects in his / her field and establishes an effective communication showing his / her competence in the field.
PLO09 Yetkinlikler - Alana Özgü Yetkinlik Conducts scientific research in national and international scientific research groups. 5
PLO10 Yetkinlikler - Alana Özgü Yetkinlik Establishes functional interaction by using strategic decision making processes in solving problems encountered in the field.


Week Plan

Week Topic Preparation Methods
1 Random Variables of multivariate Working from the textbook Öğretim Yöntemleri:
Anlatım
2 Normal distribition Working from the textbook Öğretim Yöntemleri:
Anlatım
3 Conditional and marginal distributions Working from the textbook Öğretim Yöntemleri:
Anlatım
4 Multivariate variance covariance matrix Working from the textbook Öğretim Yöntemleri:
Anlatım
5 Correlation matrix Working from the textbook Öğretim Yöntemleri:
Anlatım
6 Eigen value, eigen vectors. Working from the textbook Öğretim Yöntemleri:
Anlatım
7 Multivariate analysis of variance Working from the textbook Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Working from the textbook Ölçme Yöntemleri:
Ödev
9 Principal component analysis Working from the textbook Öğretim Yöntemleri:
Anlatım
10 Cluster analysis Working from the textbook Öğretim Yöntemleri:
Anlatım
11 Canonical correlation analysis Working from the textbook Öğretim Yöntemleri:
Anlatım
12 Discriminant analysis Working from the textbook Öğretim Yöntemleri:
Anlatım
13 Factor analysis Working from the textbook Öğretim Yöntemleri:
Anlatım
14 Analysis of SPSS Working from the textbook Öğretim Yöntemleri:
Alıştırma ve Uygulama
15 An overview Working from the textbook Öğretim Yöntemleri:
Anlatım
16 Term Exams Working from the textbook Ölçme Yöntemleri:
Ödev
17 Term Exams Working from the textbook Ölçme Yöntemleri:
Ödev


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 4 56
Assesment Related Works
Homeworks, Projects, Others 1 2 2
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 28 28
Total Workload (Hour) 154
Total Workload / 25 (h) 6,16
ECTS 6 ECTS

Update Time: 10.05.2023 03:57