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Course Code: 
MDD 295
Course Period: 
Autumn
Course Type: 
Core
P: 
1
Lab: 
0
Credits: 
1
ECTS: 
1
Course Language: 
English
Course Objectives: 
The aim of this course is to translate the methods of inferential statistics and acquire skills necessary to perform experimental and epidemiological studies.
Course Content: 

The course includes topics such as epidemiology, standardization, non-parametric skills and various problem solving skills. 

Course Methodology: 
1: Lecture, 2: Question-Answer, 3: Discussion, 4: Practice
Course Evaluation Methods: 
A: Testing, B: lab study

Vertical Tabs

Course Learning Outcomes

 

Learning Outcomes 

By the end of the course, the student 

should be able to; 

Programme learning outcomes Teaching Methods  Assessment Methods 
1.explain the description of epidemiology, PLO 9,15 1, 2, 3, 4,  A, B
2. list the types of epidemiological research designs PLO 9,15 1, 2, 3, 4,  A, B
3. list sampling methods PLO 9,15 1, 2, 3, 4,  A, B
4. explain the importance of the sample size determination PLO 9,15 1, 2, 3, 4,  A, B
5. define statistical decision theory PLO 9,15 1, 2, 3, 4,  A, B
6. list the errors that are made during the decision process PLO 9,15 1, 2, 3, 4, A, B
7. list the significance tests and to distinguish significance tests according PLO 9,15 1, 2, 3, 4, A, B
to the characteristics of the data. PLO 9,15 1, 2, 3, 4, A, B
8. define the parametric and the nonparametric tests PLO 9,15 1, 2, 3, 4, A, B
9. design and apply a reseach study, evaluate and interpret the results. PLO 9,15 1, 2, 3, 4, A, B
explain the description of epidemiology, PLO 9,15 1, 2, 3, 4, A, B

Course Flow

 

COURSE CONTENT (1.st semester)  
Week  Theoretical Topics                                       Study Materials
Week 1 Epidemiology (Sampling, data collection

and data processing)

Recommended resources 
Week 2 Standardization methods Recommended resources 
Week 3 Statistical decision theory, test of

hypotheses and significance

Recommended resources 
Week 4 Test of hypotheses and significance in

small samples

Recommended resources 
Week 5 Test of hypotheses and significance in

large samples

Recommended resources 
Week 6 Nonparametric statistics Recommended resources 
Week 7 Risks and odds in medical decision Recommended resources 
Week 8 Confidence intervals Recommended resources 
Week 9 Linear regression and correlations Recommended resources 
Week 10 Introduction to Epidemiology Recommended resources 
Week 11 Computer applications of tests of

significance

Recommended resources 
Week 12 General review and problem solving  Recommended resources 
Week 13 General review and problem solving  Recommended resources 
Week 14 General review and problem solving  Recommended resources 

Recommended Sources

 

Textbook -Course hand-outs given by the instructor 

-Dawson, Beth Trapp, Robert G., Basic and Clinical Biostatistics, Lange Medical Books/

McGrow--‐Hill NewYork 2004

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

-Daniel Wayne W., A Foundation for Analysis in the Health Sciences. 9th edition, Wiley

Series in Probability and Statistics, 2009.

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

2002.

Additional Resources

- Lecture notes

 

 

Material Sharing

 

MATERIAL SHARING
Documents Photocopy shareable.
Assignments Sharable.
Exams Not shareable.

Assessment

 

ASSESSMENT
IN-TERM STUDIES NUMBER PERCENTAGE
Midterm Exam 1 50
Quiz - -
Homework - -
Total   50
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE   50
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE   50
Total   100

 

Course’s Contribution to Program

 

COURSE'S CONTRIBUTION TO PROGRAM
No Program Learning Outcomes Contribution
1 2 3 4 5  
9 Integrating basic medical sciences in clinical sciences and using this information in all procedures of the patient.         X  
15 Following international literature, evaluating publications critically and integration of research results and evidence based dentistry during practice.         X  

ECTS

 

Activity  NUMBER  Duration
(Hours )
Total workload
(Hours )
Course duration  1st semester   ( theoretical)  14 1 14
Studies outside the class  ( 1st semester )  11 1 11
TOTAL      25
Total workload /25     1
ECTS credits of the course      1