Graduate
Institute of Graduate Studies
Molecular Biology And Genetics (PHD)
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RNA Technologies and Applications

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
FMGD0014 RNA Technologies and Applications 2/0/2 DE Turkish 8
Course Goals
Non-coding RNAi types in mammalian cell models, gene regulation by RNA interference, application strategies for RNAi models in eucaryotic systems, carcinogenesis and RNAi usage potential in disease models,  explanation of RNAi transfer models, nanoparticle encapsulated siRNA applications, usage of lipidoids and polymeric micelle, aptamer strategies and usage fields,  utility of iRNA in cure models  
Prerequisite(s) -
Corequisite(s) -
Special Requisite(s) -
Instructor(s) Professor Seyhan Altun
Course Assistant(s) -
Schedule -
Office Hour(s) -
Teaching Methods and Techniques Lecture, discussion
Principle Sources -
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Non-coding RNAi types in mammalian cell models Oral presentation, Laboratory
2. Week Gene regulation by RNA interference Oral presentation, Laboratory
3. Week Application strategies for RNAi models in eucaryotic systems Oral presentation, Laboratory
4. Week Application strategies for RNAi models in eucaryotic systems Oral presentation, Laboratory
5. Week Carcinogenesis Oral presentation, Laboratory
6. Week RNAi usage potential in disease models Oral presentation, Laboratory
7. Week Midterm Exam Exam
8. Week RNAi usage potential in disease models Oral presentation, Laboratoryresentation
9. Week RNAi usage potential in disease models Oral presentation, Laboratory
10. Week Explanation of RNAi transfer models Oral presentation, Laboratory
11. Week Nanoparticle encapsulated siRNA applications Oral presentation, Laboratory
12. Week Usage of lipidoids and polymeric micelle Oral presentation, Laboratory
13. Week Aptamer strategies and usage fields Oral presentation, Laboratory
14. Week Utility of iRNA in cure models Oral presentation, Laboratory
15. Week Final Exam Exam
16. Week Final Exam Exam
17. Week Final Exam Exam
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 20
Homework / Term Projects / Presentations 1 10
Project(s) 1 10
Final Exam 1 60


Program Outcomes
PO-1To be able to improve the current and advanced level knowledge coming from undergraduate and graduate degree qualifications with originial ideas and/or researches into professional field end to reach the genuine definitions introcuding novelty of science
PO-2To realise the network of the related field with other interdisciplinary fields, to reach the novel results coming from the analysis, sythesis and evaluation of new and complex ideas
PO-3To be able to think systematically about the novel ideas in related field
PO-4To be able to develop a novel scientific technique or to introduce the known technique into a different field
PO-5To be able to raise qualified individuals that obtain and evaluate the effective scientific results
PO-6To be able to discuss the scientific results in related field and present them by effective interactive relation strategies
PO-7To be able to decide strategically to solve the scientific problem and produce the solution
PO-8To be able to produce solutions to social, scientific and ethical subjects in related field or in industry
PO-9To be able to discuss field related subjects and to gain ability in effective verbal and visual communication by using at least one foreign language ("European Language Portfolio Global Scale", Level C1).
PO-10To be able to being a mentor in the novel and interdisciplinary areas that requires the solutions of problems
PO-11To gain advanced research ability in related field
PO-12To be able to resarch, design, realise and perform a novel subject
Learning Outcomes
LO-1To learn about non-coding RNAi types in mammalian cell models
LO-2 To have knowledge about application strategies for RNAi models in eucaryotic systems
LO-3To examine the carcinogenesis and RNAi usage potential in disease models
LO-4To learn about nanoparticle encapsulated siRNA applications
LO-5To have knowledge about utility of iRNA in cure models
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12
LO 1
LO 2
LO 3
LO 4
LO 5