BYL623 - MODERN BIOTECHNOLOGIC APPLICATIONS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
MODERN BIOTECHNOLOGIC APPLICATIONS BYL623 1st Semester 2 3 3 9
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Experiment
 
Instructor (s)Assist. Prof. Neslihan İdil 
Course objectiveTo provide theoretical and practical approach to the fundamental techniques of modern biotechnological- molecular biotechnology- analysis 
Learning outcomes
  1. Student Makes experiments by him/herself İsolates DNA from blood , Runs Agarose and poyiacrylamide jel electrophoresis Makes polymerase chain reaction (PCR), digests DNA with restriction endonuclease discusses and interptrets the experiments results
Course ContentDNA isolation, electrophoretic techniques, polymerase chain reaction (PCR), analysis of restriction fragment length polymorphism (RFLP) and SSCP 
ReferencesTurkish Translation of ?Concepts of GENETİCS? (W.S. Klug, M. R. Cummngs, Prentice Hall) Palme Publication 

Course outline weekly

WeeksTopics
Week 1(T) General information on structure of DNA, RNA and genome (P) Intruducing DNA Lab.
Week 2(T) DNA isolation Methods (P) DNA isolation
Week 3(T) Electrophoresis systems (P) İnroduction of some electrophoresis systems
Week 4(T) Electrophoresis systems (con.) (P) Agarose gel electrophoresis
Week 5(T) History and the basis of PCR (P) PCR (polymerase chain reaction)
Week 6(T) Application of PCR (P) PCR (cont.)
Week 7(T) Application of PCR (cont.) (P) PCR (cont.)
Week 8Presentations
Week 9(T) Restrction endonucleases (P) Digestion with Restrction endonucleases (RE)
Week 10(T) Restrction endonucleases (P) Digestion with Restrction endonucleases (RE) (cont.)
Week 11(T) RFLP and DNA fingerprinting (P) RFLP, agorose gel electophoresis.
Week 12(T) SSCP (P) RFLP,PAGE (polyacrilamide gel elect.)
Week 13(T) DNA sequencing (P) DNA sequencing
Week 14Presentations
Week 15Preparetion for final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory625
Application00
Field activities00
Specific practical training00
Assignments00
Presentation225
Project00
Seminar00
Midterms00
Final exam150
Total100
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 2 28
Laboratory 14 3 42
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1410140
Presentation / Seminar Preparation2714
Project000
Homework assignment000
Midterms (Study duration)6530
Final Exam (Study duration) 12020
Total Workload5147274

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Improves knowledge in proficiency level based on the undergraduate level in biology or different disciplines by using scientific methods to analyse and interpret it.     X
2. Uses theoretical and practical knowledge obtained from his/her field in proficiency level     X
3. Interprets the knowledge obtained from his/her field with integrating the acquired knowledge from the other disciplines and synthesize new knowledge.    X
4. Gain ability to solve problems in his/her using research methods.    X 
5. Gain ability to conduct study independently required in his/her field of specialization.    X 
6. Improves new strategies to solve complex problems in the field of specialization.  X  
7. Uses acquired proficiency level knowledge and skills in processes of learning in his/her field.   X  
8. Uses computer software with computer technologies that is required in his/her field.  X   
9. Has the ability of minding social, scientific, cultural and ethical values in the levels of collecting, interpreting and applying the data in his/her field.    X 
10. Evaluates the important events and cases by minding the results which take part in the development of his/her field. X   

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