BÄ°S600-02 - THESIS WORK

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
THESIS WORK BÄ°S600-02 4th Semester 4 0 0 30
PrequisitesHaving completed the MSc courses
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. nalyses data according to suitable methods
  7. conclude from the application and arranges research findings, evaluates, recommends
  8. reports all information and outcomes and 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 1Obtaining the application data for thesis
Week 2Obtaining the application data for thesis
Week 3Analyzing of the data
Week 4Analyzing of the data
Week 5Concluding from the research
Week 6Concluding from the research
Week 7Evaluating the findings
Week 8Evaluating the findings
Week 9Evaluating the findings
Week 10Reporting the research results
Week 11Reporting the research results
Week 12Reporting the research results
Week 13Reporting the research results
Week 14Reporting the research results
Week 15Reporting the research results
Week 16Reporting the research results

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 4 56
Laboratory 0 0 0
Application000
Specific practical training000
Field activities1025250
Study Hours Out of Class (Preliminary work, reinforcement, ect)1421294
Presentation / Seminar Preparation650300
Project000
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 000
Total Workload44100900

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. A specialist with a graduate diploma in biostatistics: Has the knowledge to lead research planning, execution, and finalization, staying updated on literature and current studies.     X
2. Critically evaluates studies and scientific papers in presentations, courses, seminars, and conferences, encouraging a critical perspective.    X
3. Has the sufficient theoretical and practical knowledge of statistics to determine the appropriate statistical analysis and to grasp the results correctly.    X
4. Be proficient in computer use and statistical software, ensuring data suitability and recommending solutions for data management and analysis methods.    X 
5. Effectively communicates analysis issues through active participation in discussions, exchanging information with the advisor, and presenting seminars.   X 
6. Provides method suggestions in consultancy, does research planning, prepares research reports.  X  
7. Maintains scientific accuracy and ethical values, remaining careful against any conscious or unconscious biases throughout the study.    X
8. Supports a counseling service under faculty supervision, may handle independent projects, and participates in conferences, presenting papers or posters with the academic advisor.X    
9. Be ready for multidisciplinary studies, collaborating professionally in group settings and gains the ability to assign individuals in the group.  X  
10. Integrates diverse disciplines to analyze and synthesize information, offering solutions.  X  

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