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  Course Description
Course Name : Operational Research in Agricultural Mechanization-I

Course Code : TM-511

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Prof.Dr. EMİN GÜZEL

Learning Outcomes of the Course : Make production planning in agricultural enterprises
Knowing the basic parameters for planning

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : Pattern of agricultural enterprises, product planning, promotion, design calculations, and to teach the principles of

Course Contents : s and what it involves techniques of operations research techniques. Linear programming giriş.doğrusal programming model, models, methods of solution, and the solution methods for mixed models, mixed models without

Language of Instruction : Turkish

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Introduction to the operation research Related Literature power point
2 System engineering and basic concept Related Literature power point
3 Modeling and classification Related Literature homework
4 Lenear programing Related Literature Homework
5 Lenear programing Related Literature Homework
6 Applications in agriculture Related Literature Homework
7 Applications in agriculture Related Literature Homework
8 Mid-Term
9 Example problem solving Related Literature Homework
10 Simplex table creation Related Literature Homework
11 Example problem solving Related Literature homework
12 Homework Related Literature
13 Evaluation Related Literature
14 Mid-term
15 final exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Lineer programing- prof.Dr. Kazım Tülücü. Cukurova University
 Linear crafted with planning articles, theses and documents related to the project examples
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 2 60
    Homeworks/Projects/Others 10 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 Bachelor´s degree enables graduates to expand and deepen their knowledge, access knowledge through scientific research, information, evaluation, interpretation, and application 4
2 To be able to enhance knowledge by using limited or incomplete data, and be able to put this knowledge to good use scientifically, ethically and responsibly. 4
3 To be able to transfer, orally or in written form, the findings and processes of their work to the related groups or other people systematically and clearly 4
4 To be able to come up with solutions to problems by working independently, put the solutions into actual use and make oral and written presentations 5
5 To be able to devise new strategic approaches in unanticipated complex situations and be able to think up solutions by taking reponsibility 5
6 To be able to assess the strategic performance of workgroups and contribute to them 2
7 To have computer software and hardware knowledge required by the profession and develop competence in information and communication technologies 5
8 To be qualified in data collection, interpretation and announcement phases in their fields in a scientific and ethical manner; to preserve, learn and check the data as required 4
9 To attain full oral and written competence, both in the mother tongue and in a foregin language, to help those working in and out of their field of speciality 3
10 To understand the impact of engineering solutions in a global and societal context and gain the ability to correctly interpret it 3
11 To conrtibute to the process of becoming an information society by making known social and cultural imrprovements in an academic and professional context 3
12 To be able to strategically take the lead in solving original and interdisciplinary problems 4
* 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 2 28
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 10 10 100
    Mid-term Exams (Written, Oral, etc.) 2 2 4
    Final Exam 1 2 2
Total Workload: 162
Total Workload / 25 (h): 6.48
ECTS Credit: 6