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Course Description |
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Course Name |
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Optimization of Feed Production and Use |
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Course Code |
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ZO-613 |
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Course Type |
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Optional |
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Level of Course |
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Second Cycle |
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Year of Study |
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1 |
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Course Semester |
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Fall (16 Weeks) |
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ECTS |
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6 |
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Name of Lecturer(s) |
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Learning Outcomes of the Course |
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At the end of this course, the students learn about nutrients, feeds and their properties and constraint for different farm animals, nutrient requiremets of farm animals, Turkish Feed Standards, diet formulation techniques, (pearson square, algebric method, trial and error, linear programming), application of diet formulation to linear programming, software of linear programming, excel solver add ins for linear programming , use of excel solver add ins for diet formulation
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Mode of Delivery |
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Face-to-Face |
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Prerequisites and Co-Prerequisites |
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None |
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Recommended Optional Programme Components |
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None |
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Aim(s) of Course |
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To teach how to prepare the least-cost feed formulation and the optimization of feed production in integrated farms. |
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Course Contents |
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Nutrients, feeds and their properties and constraint for different farm animals, nutrient requiremets of farm animals, Turkish feed standards, diet formulation techniques, (pearson square, algebric method, trial and error, linear programming), application of diet formulation to linear programming, software of linear programming, excel solver add ins for linear programming , use of excel solver add ins for diet formulation. |
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Language of Instruction |
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Turkish |
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Work Place |
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Classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Nutrients (brief revision) |
No |
Visual presentation |
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2 |
Concentrate and roghage for different livestocks and constraints for use in diet formualions |
No |
Visual presentation |
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3 |
Nutritional requirements of different livestocks and Turkish Feed Standards |
No |
Visual presentation |
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4 |
Pearson square, algebric, trial and error methods for diet formulation |
No |
Visual presentation |
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5 |
Diet formulation with linear programming |
No |
Visual presentation |
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6 |
Software for linear programming and commercial diet formulation programs |
No |
Visual presentation |
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7 |
Midterm Exam |
6 hours |
written exam |
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8 |
Use of Excel Solver add ins for diet formulation |
No |
Visual presentation |
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9 |
Building feed database for poultry and diet formualtion for Poultry in excel |
No |
Visual presentation |
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10 |
Building feed database for ruminants and diet formulation in excel |
No |
Visual presentation |
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11 |
Practice on diet formulation in excel solver add ins |
No |
Visual presentation |
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12 |
Practice on diet formulation in excel solver add ins |
No |
Visual presentation |
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13 |
Practice on diet formulation in excel solver add ins |
No |
Visual presentation |
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14 |
Practice on diet formulation in excel solver add ins |
No |
Visual presentation |
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15 |
General Evaluation |
No |
Visual presentation |
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16/17 |
Final Exam |
6 hours |
written exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
Büyük ve Küçükbaş Hayvan Besleme (Prof.Dr. Murat GÖRGÜLÜ)
Yemler Bilgisi ve Yem Teknolojisi (Prof.Dr. Hasan Rüştü KUTLU)
NRC, 2001: Nutrient Requirments of Dairy Cattle: Seventh Revised Edition, 2001.
NRC, 1994: Nutrient Requirement of Poultry, 1994.
NRC, 2007: Nutrient Requirements of Small Ruminants: Sheep, Goats, Cervids and New World Camelids, National Academy Press, Washington, DC, 2007.
Önerilen Kaynaklar:
GÜL, A ve GÖRGÜLÜ, M. 1997. Endüşük maliyetli rasyonların hazırlanmasında EXEL Paket Programının kullanımı. Ç.Ü.Ziraat Fakültesi Dergisi. 13(1):11-20.
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| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
50 |
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Homeworks/Projects/Others |
4 |
50 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
At the end of this programme, the students improve and deepen their knowledge in the field of Animal Science by building on the knowledge and competence acquired at the undergraduate level and can employ interdisciplinary interaction in their field of study. |
5 |
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2 |
The students interpret and generate new information and theories in specific fields related to Animal Science using the theoretical and practical knowledge at masters level. Also, they can reveal the cause-effect relationship regarding the problems in their field of study and employ scientific research methods to generate possible solutions. |
5 |
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3 |
The students independently identify potential problems and carry out research studies aiming at solutions in the field of Animal Science. Also, they investigate and develop strategic approaches for potential problems that may arise related to the particular studies. |
5 |
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4 |
The students access and compile information about the latest developments and fundamental sources in the particular field and reach a new synthesis by evaluating and interpreting the existing research. They can make use of this acquired knowledge to practice the profession effectively and follow the improving implementations in the field. |
5 |
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5 |
The students use information in the field of Animal Science, through compiling, interpreting and synthesising it, in order to make social contributions. They make evaluations by creating a plan and framework and taking specific total quality criteria into consideration. They use the skills and knowledge acquired in the field of Animal Science in joint projects with other disciplines. |
5 |
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6 |
The students discuss and pass on the acquired knowledge based on their work in the field by making written and oral presentations. They have speaking and writing competence in at least one foreign language at a level that enables them to keep up with the requirements of the age. They express their ideas clearly using the tools of information and communication technologies. |
5 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
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Homeworks, Projects, Others |
4 |
15 |
60 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
5 |
5 |
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Final Exam |
1 |
5 |
5 |
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Total Workload: | 154 |
| Total Workload / 25 (h): | 6.16 |
| ECTS Credit: | 6 |
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