COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Design and Analysis of Experiments SUF   216 4 1 2 3

Prerequisites and co-requisites yok
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Asst.Prof.Dr. Makbule BAYLAN
Instructors
Dr. Öğr. ÜyesiMAKBULE BAYLAN1. Öğretim Grup:A
 
Assistants
Goals
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.
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.

Learning Outcomes
1) Developing skills on research trials related to fisheries planning, building
2) Developing skills on statistical analysis
3) Developing skills on interpretation and inference.
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Having knowledge on “natural and applied sciences” and “basic engineering”; combination of their theoretical and practical knowledge on fisheries engineering applications.
X
2
2. Assessment of data scientifically on fisheries engineering, determining and solving the problems
X
3
3. Uses theoretical and practical knowledge in the field of fisheries to design; investigates and interprets events and phenomena usig scientific methods and techniques.
X
4
4. Collecting data in fisheries science, making the basic experimental studies, evaluating the results, identifying the problems and developing methods of solution
X
5
5. Having plan any study related to fisheries science as an individually, managing and consulting.
X
6
6.Learning the knowledge by the determining learning needs; developing positive attitude towards lifelong learning
X
7
7. Communicating oral and written in expertise field, monitoring the seminars and meeting in expertise field, following the foreign language publication.
X
8
8. Improving life-long learning attitude and using the information to the public interest.
9
9. Creating public awareness about fisheries and having the ability to ensure sustainable use of aquatic resources.
X
10
10. Communicating oral and written effectively, participating the seminars and meetings in expertise field, following the foreign language publications.
X
11
11. Using the informatics and communicating technology
12
12. 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.
13
13. Gaining competence to determine the current status of aquatic resources and its sustainable use, water pollution and control, and biotechnology areas.
X
14
14. 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
X
15
15. Ability to act in accordance with the regulation, social, scientific, cultural, and ethical values on fisheries field

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Introduction Reading Sources
2 Hypothesis Tests Reading Sources Lecture
3 Principle of Experimental Design Reading Sources Lecture
4 Analysis of Variance(ANOVA) Reading Sources Lecture
5 Two-way ANOVA Reading Sources Lecture
6 Randomized Block Design Reading Sources Lecture
7 Duncan Multiple Comparison Test Reading Sources Lecture
8 Mid-term Exam Studying midterm exam Testing
9 Completely Randomized Block Design and Analysis Reading Sources Lecture
10 Latin Square Design Reading Sources Lecture
11 Latin Square Design and Analysis Reading Sources Lecture
12 Factorial Experiments Reading Sources Lecture
13 Factorial Experiments and Analysis Reading Sources Lecture
14 Nested Classification Reading Sources Lecture
15 Nested Classification Design and Analysis Reading Sources Lecture
16-17 Final Studying final exam Testing

Recommended or Required Reading
Textbook
Additional Resources
Ders Notu ve KitaplarDiger kaynaklar