RAF712 - QUANTITATIVE METHODS IN MEDICAL RADIATION DOSI. II

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
QUANTITATIVE METHODS IN MEDICAL RADIATION DOSI. II RAF712 2nd Semester 3 0 3 8
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Drill and Practice
Project Design/Management
 
Instructor (s)Prof. Mehmet TombakoÄŸlu 
Course objectiveTo comprehend the quantitative methods used in radiation dosimetry in medicine 
Learning outcomes
  1. At the end of this course, a student will a. Learn analytical calculation of radiation dose, and
  2. b. Gain the ability of numerical calculation for complex models.
Course ContentPhoton matter interaction and Monte Carlo modeling; Electron matter interaction and Monte Carlo modeling; Macroscopic radiation physics; Dose calculation methods for photon beams; Dose calculation methods for electron beams 
References? C.P. Robert, G. Casella, "Monte Carlo Statistical Methods", Springer,2010
? Kling, F.J.C. Barao, M. Nakgawa, L. Tavoa, P. Vaz, "Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications", Springer, 2001
? H. Zaidi (ed.), G. Sqouros (ed.), "Therapeutic Applications of Monte Carlo in NuclearMedicine", Taylor & Francis, 2002. 

Course outline weekly

WeeksTopics
Week 1Monte Carlo models for basic photon matter interaction
Week 2Monte Carlo models for electron matter interaction
Week 3Macroscopic radiation physics
Week 4Dose calculation methods for photon beams
Week 5Dose calculation methods for electron beams
Week 6Monte Carlo methods for photon-electron beams I
Week 7Monte Carlo methods for photon-electron beams II
Week 8Project
Week 9Project
Week 10Project
Week 11Project
Week 12Project
Week 13Paper discussion
Week 14Paper discussion
Week 15Preparation for the Final Exam
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments420
Presentation00
Project110
Seminar00
Midterms120
Final exam150
Total100
Percentage of semester activities contributing grade succes650
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14228
Presentation / Seminar Preparation14040
Project000
Homework assignment41560
Midterms (Study duration)13030
Final Exam (Study duration) 14040
Total Workload35130240

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Have comprehensive knowledge on radiotherapy machines and their properties to perform the calibration and QA.    X
2. Comprehend treatment planning and applications of radiotherapy to make a decision individually.    X
3. Know the weight of ethics in clinics and their research studies along with having advanced knowledge on clinical and basic oncology.X    
4. Follow the advances in radiotherapy physics systematically and adapt them into their research in an original form. X   
5. Prepare complex treatment plans in accuracy and precision.    X
6. Prepare scientific reports and articles by organizing their research.  X  
7. Use informatics technology both in clinics and research at an advanced level.  X  
8. Find alternative solutions by critical approach to the subjects in radiotherapy.X    
9. Publish their PhD studies and thus scientifically contribute to their field.   X 
10. Develop good communication with physicians and other medical staff and handle the problems together to find original solutions.X    
11. Work independently as well as in a team in clinics and research studies.X    
12. Follow the advances in radiotherapy and develop written and verbal communication with colleagues. X   
13. Have experience in interdisciplinary studies and use their knowledge and skills effectively in these studies.X    

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