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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS PSI 5080 BIOSTATISTICS ELECTIVE 3 0 0 7

Offered By

PSYCHOLOGY

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR ABBAS TÜRNÜKLÜ

Offered to

PSYCHOLOGY

Course Objective

To make students to learn the basic and special concepts of biostatistics, to describe and apply advanced statistical methods that are used in biological and psychological data sets.

Learning Outcomes of the Course Unit

1   Describing fundamental concepts of biostatistics 2   Describing types of study designs in biostatistics 3   Describing the relation in biostatistics 4   Describing the biological data set 5   Describing some advanced methods which are used for biological data 6   Calculating and interpreting the measures which are used for describing data

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Review of statistics: Basic concepts and applications of statistics 2 Istatistiğin Gözden Geçirilmesi: Istatistiğin Temel Kavramları ve Uygulamaları 3 Istatistiğin Gözden Geçirilmesi: Istatistiğin Temel Kavramları ve Uygulamaları 4 Basic Concepts and Applications of Biostatistics 5 Study Design: Observational 6 Study Design: Observational 7 Midterm Examination 8 Bias and Wrong Classification 9 Bias and Wrong Classification 10 Diagnosis and Screening Tests, ROC Curve 11 Modeling of Binary Outcome Variables in Psychological Data 12 Modeling of Binary Outcome Variables in Psychological Data 13 Modeling of Life Analysis 14 Modeling of Life Analysis

Recomended or Required Reading

Dawson-Saunders B. and Trapp R. G. (2004). Basic and Clinical Biostatistics, 4. Baskı, Appleton&Lange. Woodward M. (2005). Epidemiology: Study Design and Data Analysis, Ikinci Baskı, Chapman&Hill. Rosner B. (2000). Fundamentals of Biostatistics, Beşinci Baskı, Duxbury.

Planned Learning Activities and Teaching Methods

Lesson Question-Answer Presentation Discussion

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

LO 1-2: They will be evaluated by questions in midterm examination LO 3-5: They will be vealuated by questions in final examination

Language of Instruction

English

Course Policies and Rules

Attendance must be at least %70 for lecture.

Contact Details for the Lecturer(s)

duygu.gungor@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparation for midterm exam 1 10 10 Preparation for final exam 1 14 14 Preparations before/after weekly lectures 13 5 65 Preparing presentations 13 4 52 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 186

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 PO.10 LO.1 5 4 4 4 4 4 LO.2 5 4 4 4 4 4 LO.3 5 5 4 4 LO.4 5 5 4 4 4 4 4 LO.5 5 5 4 4 LO.6 5 5 4 4 4 4