BYL615 - BOTANICAL NOMENCLATURE

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
BOTANICAL NOMENCLATURE BYL615 1st Semester 3 0 3 8
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Preparing and/or Presenting Reports
Demonstration
 
Instructor (s)Prof. Dr. Ali A. Dönmez 
Course objectiveThe scope of this course; Botanical Nomenclature application for plant taxonomy are taught to the student. 
Learning outcomes
  1. At the end of this course,
  2. the student learns botanical nomenclature,
  3. establishing plant names according to the botanical nomenclature and
  4. to publish taxon names according to the botanical nomenclature.
Course ContentThis course focuses on plant nomenclature and various practices on the names. Topics covered history of the plant nomenclature and the others CODES which have been applying various organisms. 
ReferencesCampbell, C. S., Kellogg, E. A., Stevens, P. F., Donoghue, M. J., Judd, W.S. 2003. Plant Systematics: A Phylogenetic Approach, 464 s.
Menemen Y. & Dönmez A. A. 2007. Uluslararası Botanik Adlandırma Yasası: (Viyana Yasası): Viyana?da yapılan On yedinci Uluslararası Botanik Kongresi?nde Temmuz 2005?te kabul edilmiştir (Türkçe baskı). Doğan Matbaacılık. XXIII + 573 sayfa.
 

Course outline weekly

WeeksTopics
Week 1Taxonomic Ranks and Their Rules
Week 2Typification and Priority, Taxonomical Types Concept and Their Varieties
Week 3Meaning of Priority and Limitation and Exceptions
Week 4Conditions of Effective, Valid and Correct Publication, Synonym
Week 5The Limitation Dates of Various Plant Groups
Week 6Taxonomic Proposals and Rejection
Week 71st Midterm
Week 8Nomenclature of Hybrid Taxa
Week 9Author Citation
Week 10Phylocode, Principles and Phylosophy
Week 11Biocode, Principles and Basic Proposals
Week 122nd Midterm
Week 13Recent Researches
Week 14Assignment presentation
Week 15Studing for final exam
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments130
Presentation110
Project00
Seminar00
Midterms220
Final exam140
Total100
Percentage of semester activities contributing grade succes460
Percentage of final exam contributing grade succes140
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1310130
Presentation / Seminar Preparation144
Project000
Homework assignment5420
Midterms (Study duration)21530
Final Exam (Study duration) 12020
Total Workload3656246

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