BÄ°S700-02 - THESIS WORK

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
THESIS WORK BÄ°S700-02 6th Semester 5 0 0 30
PrequisitesHaving completed the PhD courses and passed the PhD proficiency exam
Course languageTurkish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesDiscussion
Preparing and/or Presenting Reports
 
Instructor (s)Department's members and lecturer 
Course objectivePreparing and presenting of the selected thesis topic  
Learning outcomes
  1. By the end of the course; student lists the issues related to the field,
  2. decides on thesis topic
  3. reviews and arranges the references related with the chosen topic
  4. plans the research,
  5. obtains the application data
  6. analyses data according to suitable methods
  7. conclude from the application, arranges research findings, evaluates, recommends
  8. reports all information and outcomes, presents and defends the thesis
Course ContentSelecting the thesis topic, Reviewing all the references with the selected topic, Preparing the research proposal,
Analyzing application data, concluding from the research, reporting all the research results 
ReferencesAll references according to selected thesis topic 

Course outline weekly

WeeksTopics
Week 1Preparing the research proposal,
Week 2Preparing the research proposal,
Week 3Preparing the research proposal,
Week 4Preparing the research proposal,
Week 5Preparing the research proposal,
Week 6Obtaining the application data for thesis
Week 7Obtaining the application data for thesis
Week 8Obtaining the application data for thesis
Week 9Obtaining the application data for thesis
Week 10Obtaining the application data for thesis
Week 11Obtaining the application data for thesis
Week 12Obtaining the application data for thesis
Week 13Analyzing of the data
Week 14Analyzing of the data
Week 15Analyzing of the data
Week 16Analyzing of the data

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities1040
Specific practical training00
Assignments00
Presentation540
Project00
Seminar120
Midterms00
Final exam00
Total100
Percentage of semester activities contributing grade succes16100
Percentage of final exam contributing grade succes00
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 5 70
Laboratory 0 0 0
Application000
Specific practical training000
Field activities1420280
Study Hours Out of Class (Preliminary work, reinforcement, ect)1410140
Presentation / Seminar Preparation650300
Project000
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 1110110
Total Workload49195900

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