TNB772 - LITERATURE SEARCH II

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
LITERATURE SEARCH II TNB772 Any Semester/Year 1 0 1 4
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Preparing and/or Presenting Reports
Problem Solving
Brain Storming
 
Instructor (s)Prof. Dr. Turgay DALKARA 
Course objectiveTo develop and enhance literature search technicques  
Learning outcomes
  1. Students will understand and present a specific article.
Course ContentStudents will attend to article presentations and will discuss presented article. At the end of course, they will present an article. 
ReferencesPresented articles 

Course outline weekly

WeeksTopics
Week 1Attandence to literature presentation
Week 2Attandence to literature presentation
Week 3Attandence to literature presentation
Week 4Attandence to literature presentation
Week 5Attandence to literature presentation
Week 6Attandence to literature presentation
Week 7Attandence to literature presentation
Week 8Attandence to literature presentation
Week 9Attandence to literature presentation
Week 10Attandence to literature presentation
Week 11Attandence to literature presentation
Week 12Attandence to literature presentation
Week 13Attandence to literature presentation
Week 14Article or literature presentation
Week 15General Test Preparation
Week 16General Examination

Assesment methods

Course activitiesNumberPercentage
Attendance1410
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments1415
Presentation125
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 1 14
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
Presentation / Seminar Preparation12525
Project000
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 11010
Total Workload3041119

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. PhD students will be able to follow the international level scientific publications, apply this information in their study, be highly capable of understand the scientific basics and follow the latest scientific developments very well.    X
2. They are capable of reaching out to all the resources concerning the study and aware of recent developments, have a scientific critical look at the works in neuroscience field(could examine national or international journal papers at the level of a scientific referee and write a scientific report with their ideas clearly stated).These skills are assessed in the literature research and seminar courses.     X
3. They have the ability to find solutions with original methods and ideas to the scientific problem. Thesis progress reports and thesis dissertation will be used to assess whether these skills are obtained or not.    X
4. At the end, the PhD will acquire scientific leadership features in the field of neuroscience.    X
5. Could produce a joint project with other researchers in the field of neuroscience or other areas, conduct a project from beginning to end, establish their own scientific group, transfer knowledge and skills to the beginners.     X
6. Critically evaluates the data obtained. In this purpose, should criticize the scientific papers represented in the literature research course and suggest original solutions.    X
7. Could develop notable laboratory applications in the field of neuroscience. X   
8. PhD will acquire some skills and features to be an independent researcher and a qualified educator at the end of the program.    X
9. PhD will be capable of developing and implementing new methods in the field of interest.  X  

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