Ä°MM700-01 - SPECIAL SUBJECT (THESIS)

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
SPECIAL SUBJECT (THESIS) Ä°MM700-01 5th Semester 5 0 0 30
PrequisitesStudents must complete a minimum total of 120 ECTS credits.
Course languageTurkish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesDiscussion
Experiment
Project Design/Management
 
Instructor (s)Faculty members of the department and advisor 
Course objectiveThesis Work 
Learning outcomes
  1. Review the literature related with the chosen thesis topic
  2. . Perform the experiments according to his/her hypothesis
  3. Analyze and annotate the experimental data
  4. Conclude from the research findings and recommends
  5. Report and defend the research.
Course Content1. Selecting the thesis topic,
2. Reviewing all the references with the selected topic,
3. Preparing the research proposal,
4. Performing the experiments,
5. Evaluating the experimental findings,
6. Reporting the research results. 
ReferencesAll the references related to selected thesis topic in literature 

Course outline weekly

WeeksTopics
Week 1Selecting the thesis topic
Week 2Selecting the thesis topic
Week 3Selecting the thesis topic
Week 4Selecting the thesis topic
Week 5Reviewing all the references with the selected topic
Week 6Reviewing all the references with the selected topic
Week 7Reviewing all the references with the selected topic
Week 8Reviewing all the references with the selected topic
Week 9Preparing the research proposal
Week 10Preparing the research proposal
Week 11Experimental studies
Week 12Experimental studies
Week 13Experimental studies
Week 14Experimental studies
Week 15Experimental studies
Week 16Experimental studies

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application16100
Field activities00
Specific practical training00
Assignments00
Presentation00
Project00
Seminar00
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) 0 0 0
Laboratory 16 33 528
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1620320
Presentation / Seminar Preparation11212
Project000
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 14040
Total Workload34105900

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Accesses medical literature on basic and clinical immunology and -related fields and evaluates them.    X
2. Gains the necessary theoretical knowledge for their research and formulates hypotheses. Conducts research on immune system components and molecular structures, plans the appropriate methodology.    X
3. Investigates gene structures from molecular literature studies, demonstrates them through sequence analysis, interprets the data, reaches conclusions, and publishes these findings.    X
4. Demonstrates comprehensive and systematic knowledge on basic immunology, including understanding immunological mechanisms, immune system components, and their functions, also possesses knowledge in molecular genetics and biology.    X
5. Utilizes current statistical approach to evaluate the obtained data. Presents research at national and international conferences and publishes findings under mentorship.    X
6. Analyzes published immunological findings, proposes timely and effective solutions to encountered challenges in the laboratory, or communicates with researchers for solutions.    X
7. Upon completion of the basic immunology master's program, the student, under the guidance of their consultant, drafts a research proposal adhering to ethical guidelines, determines the budget, provides feedback on projects authored by other researchers, participates in collaborative projects from the planning stage, offers insights, suggests changes, and presents alternative solutions.    X

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