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Course Code: 
PHAR 152
Course Period: 
Spring
Course Type: 
Core
P: 
2
Lab: 
0
Credits: 
2
ECTS: 
3
Course Language: 
English
Course Coordinator: 
Gülçin TUĞCU
Courses given by: 
Gülçin TUĞCU
Course Objectives: 
The aim of this course is to translate the basic terms and concepts of the biostatistics, acquire knowledge about descriptive statistics and its application, to translate the methods of inferential statistics. Acquire skills necessary to perform experimental and epidemiological studies.
Course Content: 

The concept of biostatistics, basic terms of biostatistics, the central tendency and the central dispersion measurements, types rates and ratios that are used medical studies,standardization methods, the concept of the probability, statistical decision process, hypothesis tests, the measures of relations between the two variables, regression.

Course Methodology: 
1: Lecture, 2: Question-Answer, 3: Discussion, 4: Presentation, 5:Simulation, 6: Video, 7: Applications, 8:Case Study
Course Evaluation Methods: 
A:Written exam, B: Multiple choice, C:Fill in the blank, D: True/False, E: Oral Exam F: Portfolio, G: Contribution of course activities H:Homework

Vertical Tabs

Course Learning Outcomes

Learning Outcomes

Programme learning outcomes

Teaching Methods

Assessment Methods

1. Lists the data collecting methods

2

1,2,3,4,8

A,B, C, D

2. Lists data types and apply graphical demostration of the data

2

1,2,3,4,8

A,B, C, D

3. Explains the measures of central tendency and dispersion

2

1,2,3,4,8

A,B, C, D

4. Defines prevalence, incidence, mortality, morbidity rates and express the problems caused by the comparisons of the two different group’s prevalence, incidence, and mortality and morbidity rates

1, 2

1,2,3,4,8

A,B, C, D

5. Explains the need of standardization methods

1, 2

1,2,3,4,8

A,B, C, D

6. Explains the probability and theoretical distributions

2

1,2,3,4,8

A,B, C, D

7. Defines statistical decision process  and the types of errors that are made during decison process.

1, 2

1,2,3,4,8

A,B, C, D

8. Lists hypothesis tests.

2, 8

1,2,3,4,8

A,B, C, D

9.  Designs and applies a reseach study, evaluates and interprets the results

2, 4, 8

1,2,3,4,8

A,B, C, D
 

Course Flow

 

COURSE CONTENT

Week

Teorical Topics                                     

Lab content

Study Materials

1

Main Concepts of Biostatistics

 

Definition of Biostatistics

2

Frequency Distributions and Graphics

 

Definition of data and methods of collectiong data

3

Measures of central tendency

 

Definition of data types

4

Measures of central dispersion

 

Central Tendency measures

5

Rates, Ratios and Standardization Methods

 

Definition of data types

6

Probability and Theoretical Distributions

 

Basic definition of probability

7

Theoretical Distributions

 

Concepts of probability and distributions

8

Statistical decision theory, test of hypotheses and significance

 

Definition of hypothesis

9

Test of hypotheses and significance in small samples

 

Definition of small sample

10

Test of hypotheses and significance in small samples

 

Definition of small sample

11

Test of hypotheses and significance in large samples

 

Definition of large sample

12

Test of hypotheses and significance in large samples

 

Definition of large sample

13

Correlations

 

Concept of relationship between variables

14

Simple Linear Regression

 

Definition of the correlation
 

Recommended Sources

RECOMMENDED SOURCES

Textbook

Tuğcu, G. Yeditepe Üniversitesi Eczacılık Fakültesi Biostatistics Lecture Notes

Additional Resources

1.         Dawson, Beth  Trapp, Robert G., Basic and Clinical Biostatistics, Lange Medical Books/ McGrow-Hill NewYork 2004

2.         Glantz, Stanton A., Primer of Biostatistics, McGrow-Hill NewYork 2002.

3.         Daniel Wayne W., A Foundation for Analysis in the Health Sciences.

4.         Armitage, P., Statistical Methods and in medical Research, Blackwell Science Oxford 2002.
 

Material Sharing

MATERIAL SHARING

Documents

All lecture notes are presented to students with powerpoint slides

Assignments

After the theoretical lectures some application problems are given to students as homework. After learning a statistical method in the class, students research scientific articles about statististical methods

Exams

  
 

 

Assessment

ASSESSMENT

IN-TERM STUDIES

NUMBER

PERCENTAGE

Midterm  Exam I

1

100

Midterm Exam II

0

0

Lab.

0

0

Total

 

100

CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE

 

60

CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE

 

40

Total

 

100
 

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM

No

Program Learning Outcomes

Contribution

1

2

3

4

5

1

Has national and international up-to-date, theoretical and applied knowledge in the field of pharmacy.

      

 

X

  

2

Defines problems related to the profession, collects data, evaluates its accuracy and reliability, develops evidence-based solutions, shares them with healthcare professionals, makes necessary explanations to other people.

        

X

3

Communicates accurately and effectively in accordance with cultural and ethical values with all relevant professional groups, especially those working in the field of health, and all segments of society, using information and communication technologies.

    

X

    

4

Takes into account the law and ethics when dealing with public health issues.

    

X

    

5

Acts as a pharmacist with high career awareness, self-confidence, leadership spirit, who is prone to teamwork, entrepreneurial, productive and able to manage financial resources.

X

        

6

Based on the principle of pharmaceutical care, Acts as an easily accessible health consultant with a patient-oriented approach and plays an active role in constantly informing the society.

X

        

7

Improves his/her knowledge by participating in in-service training and activities in line with the needs of the century and society, takes part in the professional development of colleagues and adopts the lifelong learning principle.

X

        

8

Suggests and manages multidisciplinary / interdisciplinary research and development projects related to pharmaceuticals, cosmetics, medical devices and shares their results.

  

X

      

9

Applies knowledge and skills for the benefits of the society taking part in social responsibility projects.

X

        

10

Fulfills the requirements of quality management systems using the theoretical and applied knowledge acquired in the field.

    

X

    
 

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities

Quantity

Duration
(Hour)

Total
Workload
(Hour)

Course Duration (Including the exam week: 16x Total course hours)

16

2

32

Hours for off-the-classroom study (Pre-study, practice)

16

2

32

Midterm Exams

1

1

1

Lab. Applications

      

Hours for off-the-Lab. study (Pre-study, practice)

      

Lab. Midterm Exem

      

Lab. Final

      

Homework

4

2

8

Final

1

2

2

Total Work Load

 

 

75

Total Work Load / 25 (h)

 

 

3

ECTS Credit of the Course

 

 

3
 
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