• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS DBY 5009 STATISTICAL METHODS SPECIAL FOR DENTISTRY ELECTIVE 2 0 0 4

Offered By

Dental Biomaterials

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR HÜLYA ELLIDOKUZ

Offered to

Dental Biomaterials

Course Objective

To learn the basic statistical concepts used in the field of Dentistry and to learn statistical analyzes specific to Dentistry.

Learning Outcomes of the Course Unit

1   Acquire of information about basic statistical methods specific to dentistry 2   Be able to know the appropriate test selection algorithm. 3   Acquire of information about ratio one group / two groups statistical methods, categorical distribution and the average tests. 4   Be able to know the relationships between variables, and correlation analysis 5   Capable of taking of records of objective data suitable for statistical analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic concepts related to probability theory and probability distribution functions Ratio of more than two group comparisons, statistical tests for categorical distribution and an average 2 Frequently used parameters and the dispersion characteristics in cancer Relationships between the variables and correlation analysis 3 Concepts of statistical testing and statistical inference-1 Multiple analysis methods-1 4 Concepts of statistical testing and statistical inference-2 Multiple analysis methods-2 5 Parametric and nonparametric test concepts Multiple analysis methods-3 6 Testing basic assumptions and the selection of appropriate test selection algorithm-1 7 Testing basic assumptions and the selection of appropriate test selection algorithm-2 8 Testing basic assumptions and the selection of appropriate test selection algorithm-3 9 The ratio for a single group, statistical tests for categorical distribution and an average 10 Comparing the ratio of two groups, statistical tests for categorical distribution and an average

Recomended or Required Reading

1. Sağlıkta Araştırma ve Çözümleme, 2006 (Gazanfer Aksakoğlu) 2. Bilimsel Araştırmalarda SPSS for Windows, 1995 (Mustafa Ergün) 3. Bilgisayar Istatistik ve Tıp, 1995 (Murat Hayran, Oktay Özdemir)

Planned Learning Activities and Teaching Methods

Theoretical Lectures, the topics in-class activities (presentations and assignments) to consolidate and discussion and home work.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 PRF PERFORMANCE 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.20 +PRF * 0.20 + FIN* 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE MTE * 0.20 +PRF * 0.20 +RST* 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

The learner will clearly define outlined which will evaluate with exam and homework.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

hulya.ellidokuz@deu.edu.tr 0 232 4125889/5801

Office Hours

Tuesday 12.30-13.30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 15 2 30 Preparations before/after weekly lectures 2 24 48 Final 1 1 1 TOTAL WORKLOAD (hours) 79

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 LO.1 4 LO.2 4 LO.3 4 LO.4 4 LO.5 4