SUF216 Design and Analysis of Experiments

3 ECTS - 1-2 Duration (T+A)- 4. Semester- 2 National Credit

Information

Code SUF216
Name Design and Analysis of Experiments
Term 2023-2024 Academic Year
Semester 4. Semester
Duration (T+A) 1-2 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. MAKBULE BAYLAN
Course Instructor Prof. Dr. MAKBULE BAYLAN (A Group) (Ins. in Charge)


Course Goal / Objective

Aims to teach Hypothesis Testing, Analysis of Variance, experiments on the establishment of planning and analysis, Duncan test, establishment and analysis of factorial experiments with methods such as inner-Import Classification and Analysis of Experiment.

Course Content

Introduction, principles of experimental design, analysis of variance, completely randomized design, multiple comparisons (least significant difference, Duncan multiple range test), randomized block design, latin square design and factorial experiments.

Course Precondition

yok

Resources

M. AKAR, S. ŞAHİNOĞLU, 1993 İSTATİSTİK. Ç.Ü. ZİRAAT FAK. YAY. ADANA.

Notes

YÜKSEL BEK, E. EFE. 1998. ARAŞTIRMA DENEME METODLARI-I Ç.Ü. ZİRAAT FAKÜLTESİ DERS KİTABI. ADANA


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Developing skills on research trials related to fisheries planning, building
LO02 Developing skills on statistical analysis
LO03 Developing skills on interpretation and inference.
LO04 Conducts research using applied knowledge gained in the field of fisheries.
LO05 Examines and interprets research and projects with scientific methods and techniques.
LO06 Evaluates the data in the field of fisheries with scientific methods, determines the problems, develops and implements solution proposals.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Having knowledge on “natural and applied sciences” and “basic engineering”; combination of their theoretical and practical knowledge on fisheries engineering applications. 2
PLO02 Bilgi - Kuramsal, Olgusal Assessment of data scientifically on fisheries engineering, determining and solving the problems 5
PLO03 Bilgi - Kuramsal, Olgusal Uses theoretical and practical knowledge in the field of fisheries to design; investigates and interprets events and phenomena usig scientific methods and techniques. 3
PLO04 Bilgi - Kuramsal, Olgusal Collecting data in fisheries science, making the basic experimental studies, evaluating the results, identifying the problems and developing methods of solution 4
PLO05 Bilgi - Kuramsal, Olgusal Having plan any study related to fisheries science as an individually, managing and consulting. 4
PLO06 Bilgi - Kuramsal, Olgusal Learning the knowledge by the determining learning needs; developing positive attitude towards lifelong learning 3
PLO07 Beceriler - Bilişsel, Uygulamalı Communicating oral and written in expertise field, monitoring the seminars and meeting in expertise field, following the foreign language publication. 3
PLO08 Beceriler - Bilişsel, Uygulamalı Improving life-long learning attitude and using the information to the public interest.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Creating public awareness about fisheries and having the ability to ensure sustainable use of aquatic resources.
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Communicating oral and written effectively, participating the seminars and meetings in expertise field, following the foreign language publications. 1
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Using the informatics and communicating technology 4
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Improves constantly itself , as well as professional development scientific, social, cultural and artistic fields according to his/her interests and abilities identifying needs of learning.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Gaining competence to determine the current status of aquatic resources and its sustainable use, water pollution and control, and biotechnology areas.
PLO14 Yetkinlikler - Öğrenme Yetkinliği Having ability to promote the study about aquaculture techniques by saving the natural environment, fishery diseases, fishing and processing technology, structure of fishery sector, problems and solution of their expertise field 3
PLO15 Yetkinlikler - Öğrenme Yetkinliği Ability to act in accordance with the regulation, social, scientific, cultural, and ethical values on fisheries field 3


Week Plan

Week Topic Preparation Methods
1 Introduction Reading Sources Öğretim Yöntemleri:
Anlatım
2 Hypothesis Tests Reading Sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Principle of Experimental Design Reading Sources Öğretim Yöntemleri:
Anlatım, Tartışma
4 Analysis of Variance(ANOVA) Reading Sources Öğretim Yöntemleri:
Anlatım, Problem Çözme
5 Two-way ANOVA Reading Sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
6 Randomized Block Design Reading Sources Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Duncan Multiple Comparison Test Reading Sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
8 Mid-term Exam Studying midterm exam Ölçme Yöntemleri:
Yazılı Sınav
9 Completely Randomized Block Design and Analysis Reading Sources Öğretim Yöntemleri:
Anlatım, Problem Çözme
10 Latin Square Design Reading Sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
11 Latin Square Design and Analysis Reading Sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
12 Factorial Experiments Reading Sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Factorial Experiments and Analysis Reading Sources Öğretim Yöntemleri:
Anlatım
14 Nested Classification Reading Sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 Nested Classification Design and Analysis Reading Sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
16 Terms exam Studying final exam Ölçme Yöntemleri:
Yazılı Sınav
17 Terms Exam Studying final exam Ölçme Yöntemleri:
Yazılı Sınav


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 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 10 10
Total Workload (Hour) 86
Total Workload / 25 (h) 3,44
ECTS 3 ECTS

Update Time: 08.05.2023 12:13