COURSE UNIT TITLE

: INFORMATION MANAGEMENT RESEARCH (BIOSTATISTICS)

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BYA 3004 INFORMATION MANAGEMENT RESEARCH (BIOSTATISTICS) COMPULSORY 1 0 0 1

Offered By

Dentist

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR PEMBE KESKINOĞLU

Offered to

Dentist

Course Objective

It is to provide students studying in the undergraduate program of dentistry to use biostatistical terms and analysis, to have an attitude of interpretation, knowledge and skills, and to have knowledge about scientific research and the ability to plan.

Learning Outcomes of the Course Unit

1   Recognize the basic concepts and data collection methods related to biostatistics.
2   Knows research methods and plans research.
3   Collects accurate and consistent data in dental research
4   Gains knowledge about descriptive statistics.
5   Ability to select and analyze the appropriate hypothesis test. Select and analyze the appropriate hypothesis test.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The concept of biostatistics and basic concepts related to biostatistics
2 The concept of biostatistics and basic concepts related to biostatistics
3 .The use of biostatistics in dentistry
4 Center and distribution measures and presenting data with tabular and graphical methods
5 Types of distribution, Sampling distributions, Concept and types of sampling
6 Selection of sample in research, sample size, definition of variables
7 Observational-experimental study designs in the field of health
8 Methodological study designs in the field of health
9 Hypothesis tests (Student's T, Mann-Whitney U, Wilcoxon test)
10 Hypothesis tests (Student's T, Mann-Whitney U, Wilcoxon test)
11 Hypothesis tests (One-way ANOVA, Kruskal-Wallis test)
12 Hypothesis tests (One-way ANOVA, Kruskal-Wallis test)
13 Hypothesis tests (correlation simple linear regression)
14 Special statistics in the field of health (survival analysis, ROC analysis)
15 Preparation of research project (planning-design)
16 Preparation of research project (planning-design)
17 Preparation of research project (planning-design)
18 Preparation of research project (planning-design)
19 Preparation of research project (planning-design)
20 Preparation of research project (planning-design)
21 Preparation of research project (planning-design)
22 Preparation of research project (analysis-reporting)
23 Preparation of research project (analysis-reporting)
24 Preparation of research project (analysis-reporting)
25 Preparation of research project (analysis-reporting)
26 Preparation of research project (analysis-reporting)
27 Preparation of research project (analysis-reporting)
28 Preparation of research project (analysis-reporting)

Recomended or Required Reading

1. Kesici T., Kocabas Z. (2007). Biostatistics. Ankara University Faculty of Pharmacy Biostatistics Publication no: 94
2. Dice, J.H. (1998). Biostatisticalanalysis. Prentice Hall, London. 4th ed.
3. Chernick, M.L. and Friis, R.H. (2003). IntroductoryBiostatistics for the HealthSciences. Wiley-Interscience.
4. Ozdamar, K. (2005). Biostatistics with SPSS. Kaan Bookstore, Eskis city. Su mbu log lu, K and Su mbu log lu, V. (1987). Biostatistics. Cag Printing House.

Planned Learning Activities and Teaching Methods

1.Lesson
2. Question solution
3. Readings
4. Literature search

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ1 1.Vize
2 VZ2 2.Vize
3 VOR Vize Ortalaması roundVZ1 * 0.50 + VZ2 * 0.50,0
4 FN Final
5 FSB Final Sonu Başarı Notu roundVOR * 0.40 + FN * 0.60,0
6 BUT Bütünleme
7 BSB Bütünleme Sonu Başarı Notu roundVOR * 0.40 + BUT * 0.60,0


Further Notes About Assessment Methods

None

Assessment Criteria

1. The student should be able to describe the basic concepts and data collection methods related to biostatistics.
2. The student should be able to define scientific research methods and plan research.
3. The student should be able to collect accurate and consistent data in dental research.
4. The student should be able to give information about descriptive statistics.
5. The student should be able to select the appropriate hypothesis test and perform analysis.

Language of Instruction

Turkish

Course Policies and Rules

Attendance at 70% of the courses is mandatory.

Contact Details for the Lecturer(s)

Prof.Dr. Pembe KESKINOĞLU
Phone : 412 3497

Office Hours

Weekdays on Thursdays

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 28 1 28
Preparation for final exam 1 1 1
Preparation for midterm exam 1 1 1
Final 1 1 1
Midterm 2 1 2
TOTAL WORKLOAD (hours) 33

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.13333333333
LO.2333222
LO.322333
LO.4322222
LO.52222222222

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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