EFK799 - PREPARATION TO DOCTORAL PROFICIENCY

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
PREPARATION TO DOCTORAL PROFICIENCY EFK799 4th Semester 0 4 2 30
PrequisitesHaving completed doctoral courses
Course languageTurkish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesDiscussion
Other: Self-learning , interview with thesis advisor  
Instructor (s)Supervisor 
Course objectiveThe course aim is to complete activities required for preparation of the student for Doctoral Qualifying Examination consist of two parts as an oral and written exam. 
Learning outcomes
  1. At the end of the course, the students will ; Can use knowledge, skill and competence required to be successful at Doctoral Qualifying Examination.
Course ContentIndividual study required to be succesful Doctoral Qualifying Examination 
References1- All references used for doctorate course 2- Related literatures 

Course outline weekly

WeeksTopics
Week 1Evaluating learning outcomes of programme
Week 2Determination of scientific preparation activities required for preparation of doctoral proficiency exam
Week 3Individual study, interviewing with advisor, when required
Week 4Individual study, interviewing with advisor, when required
Week 5Individual study, interviewing with advisor, when required
Week 6Individual study, interviewing with advisor, when required
Week 7Individual study, interviewing with advisor, when required
Week 8Individual study, interviewing with advisor, when required
Week 9Individual study, interviewing with advisor, when required
Week 10Individual study, interviewing with advisor, when required
Week 11Individual study, interviewing with advisor, when required
Week 12Individual study, interviewing with advisor, when required
Week 13Individual study, interviewing with advisor, when required
Week 14Individual study, interviewing with advisor, when required
Week 15Individual study, interviewing with advisor, when required
Week 16Doctoral Qualifying Examination

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project00
Seminar00
Midterms00
Final exam00
Total0
Percentage of semester activities contributing grade succes1100
Percentage of final exam contributing grade succes00
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 0 0 0
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)000
Presentation / Seminar Preparation000
Project000
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 1900900
Total Workload1900900

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Able to make a research plan related to their study subject and workspace.    X
2. Presents study findings at scientific conferences and converts them into articles.    X
3. Has sufficient knowledge about scientific ethic and ethical principles for experiments on human and animals.    X
4. Makes literature search based on subject title.    X
5. Develops novel molecules and synthesis methods based on the information obtained.    X
6. Uses technology to follow scientific innovations and to reach desired information.    X
7. Synthesizes designed molecules by obeying the rules of laboratory safety.    X
8. Has the required knowledge and skills on experimental designs and using instrumental analysis devices.    X
9. Creates solutions on acute problems during synthetic and analytical studies.    X
10. Capable of planning, writing and managing and evaluating other projects.    X
11. Plans a multidisciplinary study and arranges coordination between study groups.    X
12. Has knowledge of one foreign language, enabling written and oral communication.    X
13. Attends national and international symposiums to stay updated on developments.    X
14. Enhances professional knowledge and remains open to developments.    X
15. Interprets instrumental data to formulate predictions and arrives at appropriate solutions.    X

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