GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
BIOSTATISTICS/İST- 434
Course Title: BIOSTATISTICS
Credits 3 ECTS 5
Semester 8 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof.Dr. Hülya BAYRAK, Assoc. Prof. Bülent ÇELİK, Assoc. Prof. Yaprak Arzu ÖZDEMİR
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/hbayrak, http://www.websitem.gazi.edu.tr/site/bucelik, http://websitem.gazi.edu.tr/site/yaprak
 -- EMAIL(S) OF LECTURER(S)
  hbayrak@gazi.edu.tr, bucelik@gazi.edu.tr, yaprak@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students know the definition of the Biostatistics
Students know the various biological data variables
Students know the sampling methods which are used in the field of biostatistics
Students know to help people who works at medical sciences to collect the correct data for the statistical analysis
Students know to analyze the data of people who works at medical sciences




 -- MODE OF DELIVERY
  The mode of delivery is face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  General information about biostatistics
2. Week  Research types using in health sciences
3. Week  Hypothesis testing and power of test
4. Week  Sample size determination for different type of hypothesis
5. Week  Medical diagnostic tests.
6. Week  The validity of diagnostic tests.
7. Week  The reliability of diagnostic tests
8. Week  Risk criteria
9. Week  Midterm Examination
10. Week  ROC analysis
11. Week  Measurement of cross-compliance identified.
12. Week  Paralell groups design.
13. Week  Crossover design.
14. Week  Repeated measures design
15. Week  Classifications of missing data.
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Winner,Larry. Introduction to Biostatistics(2004).
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Expression, answer-questions, presentation.
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
2
5
10
 Reading
0
 Searching in Internet and Library
0
 Designing and Applying Materials
4
4
16
 Preparing Reports
5
7
35
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
7
7
 Final and Studying for Final
1
10
10
 Other
0
 TOTAL WORKLOAD: 
120
 TOTAL WORKLOAD / 25: 
4.8
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X