SDU Education Information System
   Home   |  Login Türkçe  | English   
 
   
 
 


 
Course Information
Course Unit Title : Statistics and Research Design
Course Unit Code : GDM201
Type of Course Unit : Compulsory
Level of Course Unit : First Cycle
Year of Study : 2
Semester : 3.Semester
Number of ECTS Credits Allocated : 5,00
Name of Lecturer(s) : ---
Course Assistants :
Learning Outcomes of The Course Unit : 1. Characteristics and responsibilities of the research, 2. Importance of being objective in research, 3. Summarizing and interpretation the results of research via tables and graphs, 4. Prediction and interpretation of descriptive statistics, 5. Distinguish parametric and non-parametric tests, 6. Able to establish and test hypotheses, 7. Interpret test results, 8. Prediction of unknown values using known values
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Basic statistical definitions, descriptive statistics, Summary of data via figures and graphs, descriptive statistics, population distributions, hypothesis tests, regression and correlation
Languages of Instruction : Turkish
Course Goals : 1. To teach the basic concepts of statistics and objective,
2. Teaching application of basic statistical techniques used in scientific research, and interpretation the results,
3. To teach presenting the research results with tables and graphs. and interpretation the results,
Course Aims : To teach basic statistical concepts and methods.
WorkPlacement   Not Available
Recommended or Required Reading
Textbook : Presentations prepared from different sources
Additional Resources : Yıldız, N, Akbulut, Ö. Bircan, H. 2006. Introduction to statistics. Aktif yayınevi, İstanbul Dişçi,R. 2008. Basic and Medical Biostatistics. İstanbul medikal yayıncılık Sünbüloğlu, K. ve Sünbüloğlu, V. 2000. Biostatistics. Hatipoğlu yayınevi, Ankara
Material Sharing
Documents : Presentations prepared beginning of term
Assignments : Two assignments before Mid-term and final exams
Exams : Mid-term and final exams
Additional Material :
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 3 42  
Time Of Studying Out Of Class :
14 3 42  
Homeworks :
2 20 40  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 10 10  
Finals :
1 15 15  
Workload Hour (30) :
30  
Total Work Charge / Hour :
149  
Course's ECTS Credit :
5      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 80
Quiz :
0 0
Homework :
2 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 to statistics and statistical definitions
  Study Materials: Each week, examining issues related sources
2 Summarizing data- frequency tables
 
3 Summarizing data- tables and graphs
 
4 Measures of central tendency
 
5 Measures of dispersion
 
6 Probabilities
 
7 Discrete probability distributions (Binomial and Poisson distributions)
 
8 Continuous probability distributions (Normal distributions)
 
9 Hypothesis testing and confidence limits of the one sample mean
 
10 Hypothesis testing and confidence limits of the two sample means
 
11 Hypothesis testing and confidence limits of the one sample proportion
 
12 Chi-square test (Goodness of fit)
 
13 Chi-square test (Independence)
 
14 Regression and correlation