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Course Information
Course Unit Title : Hypothesis construction on the extracted information from scientific literature
Course Unit Code : 01ZOO9616
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants : ---
Learning Outcomes of The Course Unit : 1. Data collection from Scientific literature basic concepts and principles
2. Screening data and evaluating Scientific literature
3. Storing data and extracted information from Scientific literature
4.Hypothesis and testing hypothesis
5. Suggesting new project based on hypothesis
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Basic concepts of data collection from Scientific literature and principles, Screening data and evaluating Scientific literature, data storage and use of extracted information from Scientific literature, hypothesis, testing hypothesis, suggesting new project based on hypothesis.
Languages of Instruction : Turkish-English
Course Goals : To develop an understanding of some basic principles of developing hypothesis for new Project based on scientific literature
Course Aims : To develop an understanding of some basic principles of developing hypothesis for new Project based on scientific literature.
WorkPlacement   Not Available
Recommended or Required Reading
Textbook : Writing Academic English. Alice Oshima and Ann Hogue. 2006. New York.
Statistick books
Additional Resources : Related Journals
EndNote Program
Material Sharing
Documents : Personal notes, slides etc.
Assignments : Assigments will be given during the class
Exams : 1 midterm and 1 final exam
Additional Material : Not available
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 4 56  
Time Of Studying Out Of Class :
14 4 56  
Homeworks :
1 20 20  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 20 20  
Finals :
1 20 20  
Workload Hour (30) :
30  
Total Work Charge / Hour :
172  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 60
Quiz :
1 20
Homework :
1 20
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
40
The ratio of final to success :
60
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Introduction
 
2 Data collection methods from scientific literature
 
3 Data collection methods from scientific literature
 
4 Data storage methods
 
5 Data extraction methods from scientific literature
 
6 Data extraction methods from scientific literature
 
7 Extracted data classification from scientific literature
 
8 Extracted data classification from scientific literature
 
9 Hypothesis
 
10 Testing hypothesis if they are realisticks or not
 
11 Testing hypothesis if they are realisticks or not
 
12 Suggesting new project based on new hypothesis
 
13 Suggesting new project based on new hypothesis
 
14 General assessment
 
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