BYL693 - METHODS of PEST CONTROL

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
METHODS of PEST CONTROL BYL693 2nd Semester 2 2 3 9
Prequisites-
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
 
Instructor (s)Assoc. Prof. Yusuf Orhan Mergen 
Course objectiveTo teach the pest control methods and principles against harmful insects, feeding on cultured plants 
Learning outcomes
  1. At the end of this course, the student learns Principles and concepts of pest control The Ä°mportant Factors Deciding To Agricultural Pest Control Cultural, Mechanic and Physical Control Biotechnologies, Biological and Chemical Control
Course ContentPrinciples and factors to be applied in combating harmful insects in cultivated plants 
ReferencesTarımsal Zararlılarla Savaş Yöntemleri ve İlaçlar, Prof.Dr. Cezmi Öncüer. Adnan Menderes Üniversitesi yayınları No:13, 2000
Entomology and Pest Management, Larry P. Pedigo, Prentice Hall, 1999 

Course outline weekly

WeeksTopics
Week 1Ä°ntroduction, principles and concepts of pest control (T) Laboratory Studies (P)
Week 2Natural selection, economic injury levels, economic threshold (T) Laboratory Studies (P)
Week 3The important factors deciding to agricultural pest control (T) Laboratory Studies (P)
Week 4The methods of pest control (T) Laboratory Studies (P)
Week 5The methods of cultural control (T) Laboratory Studies (P)
Week 6Report presentation
Week 7The methods of mechanic control (T) Laboratory Studies (P)
Week 8The methods of physical control (T) Laboratory Studies (P)
Week 9The methods of regulatory control (T) Laboratory Studies (P)
Week 10The methods of biotechnologies to insect control (T) Laboratory Studies (P)
Week 11Biological control (T) Laboratory Studies (P)
Week 12Chemical control (T) Laboratory Studies (P)
Week 13Integrate control (T) Laboratory Studies (P)
Week 14 Report presentation
Week 15Studying for final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments240
Presentation00
Project00
Seminar00
Midterms00
Final exam160
Total100
Percentage of semester activities contributing grade succes040
Percentage of final exam contributing grade succes060
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 2 28
Laboratory 14 2 28
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1410140
Presentation / Seminar Preparation236
Project000
Homework assignment2510
Midterms (Study duration)22040
Final Exam (Study duration) 12020
Total Workload4962272

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Improves knowledge in proficiency level based on the undergraduate level in biology or different disciplines by using scientific methods to analyse and interpret it.     X
2. Uses theoretical and practical knowledge obtained from his/her field in proficiency level     X
3. Interprets the knowledge obtained from his/her field with integrating the acquired knowledge from the other disciplines and synthesize new knowledge.    X
4. Gain ability to solve problems in his/her using research methods.    X 
5. Gain ability to conduct study independently required in his/her field of specialization.     X
6. Improves new strategies to solve complex problems in the field of specialization.  X  
7. Uses acquired proficiency level knowledge and skills in processes of learning in his/her field.     X
8. Uses computer software with computer technologies that is required in his/her field.    X 
9. Has the ability of minding social, scientific, cultural and ethical values in the levels of collecting, interpreting and applying the data in his/her field.    X 
10. Evaluates the important events and cases by minding the results which take part in the development of his/her field.    X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest