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Course Description Course Name : Design and Analysis of Experiments Course Code : SUF216 Course Type : Optional Level of Course : First Cycle Year of Study : 2 Course Semester : Spring (16 Weeks) ECTS : 3 Name of Lecturer(s) : Prof.Dr. MUSTAFA AKAR Res.Asst. SEDAT GÜNDOĞDU Learning Outcomes of the Course : Developing skills on research trials related to fisheries planning, building, statistical analysis, interpretation and inference. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : 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 Contents : 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. Language of Instruction : Turkish Work Place : Classroom of Fisheries Faculty   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction 2 Hypothesis Tests Reading Sources Speaking 3 Principle of Experimental Design Reading Sources Speaking 4 Analysis of Variance(ANOVA) Reading Sources Speaking 5 Two-way ANOVA Reading Sources Speaking 6 Randomized Block Design Reading Sources Speaking 7 Duncan Multiple Comparison Test Reading Sources Speaking 8 Mid-term Exam 9 Completely Randomized Block Design and Analysis Reading Sources Speaking 10 Latin Square Design Reading Sources Speaking 11 Latin Square Design and Analysis Reading Sources Speaking 12 Factorial Experiments Reading Sources Speaking 13 Factorial Experiments and Analysis Reading Sources Speaking 14 Nested Classification Reading Sources Speaking 15 Nested Classification Design and Analysis Reading Sources Speaking 16/17 Final   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  M. AKAR, S. ŞAHİNOĞLU, 1993 İSTATİSTİK. Ç.Ü. ZİRAAT FAK. YAY. ADANA.  YÜKSEL BEK, E. EFE. 1998. ARAŞTIRMA DENEME METODLARI-I Ç.Ü. ZİRAAT FAKÜLTESİ DERS KİTABI. ADANA Required Course Material(s)  W.G. COCHRAN, G.M.COX. 1950. EXPERİMENTAL DESİGN- SECOND EDİTİON, WİLEY İNTERNATİONAL EDİTİON, LONDON.   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 13 40 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Using the informatics and communicating technology 5 2 Gaining competence to determine the current status of aquatic resources and its sustainable use, water pollution and control, and biotechnology areas. 2 3 Ability to act in accordance with the regulation, social, scientific, cultural, and ethical values on fisheries field 1 4 Having knowledge on “natural and applied sciences” and “basic engineering”; combination of their theoretical and practical knowledge on fisheries engineering applications. 5 5 assessment of data scientifically on fisheries engineering, determining and solving the problems 5 6 Uses theoretical and practical knowledge in the field of fisheries to design; investigates and interprets events and phenomena usig scientific methods and techniques. 3 7 Collecting data in fisheries science, making the basic experimental studies, evaluating the results, identifying the problems and developing methods of solution 5 8 Having plan any study related to fisheries science as an individually, managing and consulting 5 9 Learning the knowledge by the determining learning needs; developing positive attitude towards lifelong learning 4 10 Communicating oral and written in expertise field, monitoring the seminars and meeting in expertise field, following the foreign language publication 3 11 Improving life-long learning attitude and using the information to the public interest. 4 12 Having skills to apply modern techniques and computational tools necessary for engineering applications. 3 13 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 5 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 4 15 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. 0 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total 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 13 1 13     Mid-term Exams (Written, Oral, etc.) 1 1 1     Final Exam 1 2 2 Total Workload: 86 Total Workload / 25 (h): 3.44 ECTS Credit: 3