BÄ°S799 - PREPARATION TO PHD PROFICIENCY EXAM

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
PREPARATION TO PHD PROFICIENCY EXAM BÄ°S799 4th Semester 0 4 2 30
PrequisitesHaving completed the PhD Courses
Course languageTurkish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategies 
Instructor (s)Department members and lecturer 
Course objectiveTo prepare the student to PhD proficiency examination 
Learning outcomes
  1. Students success the PhD proficiency exam.
Course Content 
ReferencesAll the references about the PhD field 

Course outline weekly

WeeksTopics
Week 1Preparation To PhD Proficiency Exam
Week 2Preparation To PhD Proficiency Exam
Week 3Preparation To PhD Proficiency Exam
Week 4Preparation To PhD Proficiency Exam
Week 5Preparation To PhD Proficiency Exam
Week 6Preparation To PhD Proficiency Exam
Week 7Preparation To PhD Proficiency Exam
Week 8Preparation To PhD Proficiency Exam
Week 9Preparation To PhD Proficiency Exam
Week 10Preparation To PhD Proficiency Exam
Week 11Preparation To PhD Proficiency Exam
Week 12Preparation To PhD Proficiency Exam
Week 13Preparation To PhD Proficiency Exam
Week 14Preparation To PhD Proficiency Exam
Week 15Preparation To PhD Proficiency Exam
Week 16PhD Proficiency Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project00
Seminar00
Midterms00
Final exam1100
Total100
Percentage of semester activities contributing grade succes00
Percentage of final exam contributing grade succes1100
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 0 0 0
Laboratory 0 0 0
Application14456
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1410140
Presentation / Seminar Preparation000
Project000
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 1704704
Total Workload29718900

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. A person who has a degree in Biostatistics, PhD: Has the knowledge to lead research planning, execution, and finalization, staying updated on literature and current studies.     X
2. Has sufficient information in the field, produces notable publications by addressing gaps in literature, both theoretically and practically.   X 
3. Asks questions about presentations, seminars, and studies at conferences or seminars, with a critical perspective.   X 
4. Has theoretical and practical knowledge of statistics at the level of expertise to determine the appropriate statistical analysis and examine the results in-depth.    X
5. Be proficient in computer use and statistical software, ensuring data suitability and recommending solutions for data management and analysis methods.   X  
6. Effectively conducts analysis issues through active participation in discussions, exchanging information with the thesis advisor, and presenting seminars. X   
7. Provides method suggestions in consultancy, does research planning, prepares research reports.   X 
8. Maintains scientific accuracy and ethical values, remaining careful against any conscious or unconscious biases throughout the study.    X
9. Be able to present oral presentation and poster in national or international conferences.   X 
10. Be able to write a research project proposal independently, take part in a project, write a scientific study report.   X 
11. Be able to attend multidisciplinary studies, collaborate professionally in group settings and gain the ability to assign individuals in the group.    X 
12. Integrates diverse disciplines to analyze and synthesize information, offering solutions.    X

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