COURSE UNIT TITLE

: COMPUTER SKILLS IN PUBLIC HEALTH

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
HSA 5048 COMPUTER SKILLS IN PUBLIC HEALTH ELECTIVE 2 0 0 6

Offered By

Public Health

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Public Health
Canser Epidemiology
CANCER APIDEMIOLOGY

Course Objective

The aim of this course is to teach biostatistical methods that are used in planning, conducting and analysing the scientific research by using statistical softwares

Learning Outcomes of the Course Unit

1   Preparing data base, checking the data base for mistakes and data cleaning
2   Calculating and interpreting descriptive statistics
3   Testing hypothesis and interpreting the results
4   Estimating sample size and carrying out power analysis
5   Introduction to Excel and Open-EPi programs

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction Basic concepts in biostatistics
2 Introduction to SPSS software
3 Preparing data base- data base cleaning
4 Descriptive statistics
5 Hypothesis testing
6 Chi square test application and interpretation
7 T tests
8 Mann Whitney U test Wilcoxon signed rank test
9 Correlation and Linear regression
10 Sample size estimation and sampling methods
11 Open-Epi
12 Introduction to Excel
13 Homeworks discussion
14 Course evaluation

Recomended or Required Reading

References:
1. K. Özdamar. SPSS ile Biyoistatistik. Kaan Kitabevi, Eskişehir, 2003.
2. Aksakoğlu G. Sağlıkta araştırma teknikleri ve analiz yöntemleri. DEÜ Rektörlük Matbaası, Izmir 2001.
3. http://www.spss.com.tr/
4. http://www.pitzer.edu/offices/information_technology/documentation/miscellaneous/spssbasics. pdf
5. http://kerem.koseoglu.info/down/spss_manual_v5_(kk).pdf

Planned Learning Activities and Teaching Methods

Interactive presentation take 33% of the course duration.Rest of the time is spent with practicals using teaching guidelines and data bases.
Homeworks will be given after each lecture and feedback will be provided to each student.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.25 + ASG * 0.45 +FIN* 0.30
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.45 +RST* 0.30


Further Notes About Assessment Methods

Homeworks will be assessed and marked. The average mark will be calculated. The average of homework score and final exam score will be used as passing score from this lecture.

Assessment Criteria

If the average of homework score and final exam score is over 75 then the student will pass the course.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Belgin Unal
Dokuz Eylül University Faculty of Medicine
Dept. of Public Health
Inciralti- Izmir

Office Hours

09:00-17:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 15 2 30
Preparations before/after weekly lectures 15 3 45
Preparation for midterm exam 1 10 10
Preparation for final exam 1 20 20
Preparing assignments 3 10 30
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 139

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.1111
LO.2111
LO.311
LO.411
LO.511

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

Copyright 2015 DEÜ. BİD

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