BAYBURT University Information Package / Course Catalogue

Home Information on the Institution Information on Degree Programmes General Information for Students
Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
HM208.1BElective243
Level of Course Unit
First Cycle
Objectives of the Course
The aim of this program is to train students who have basic biostatistics knowledge, can apply biostatistical methods, interpret the results, plan, conduct and conclude independent research in the field of health and nursing, and use statistical programs. In addition, it is aimed to apply the statistical program together with the students on the online education platform in order to increase the learning level of the students in the distance education process.
Name of Lecturer(s)
Dr. Öğr. Üyesi Ebru Sönmez Sarı
Learning Outcomes
1Students should be able to develop their thinking skills about the scientific research process.
2Students should be able to develop skills for the use of statistical methods in their fields of study.
3Students should be able to gain researcher knowledge
4Must be able to define basic statistics and know variable types
5Should be able to use the statistical package program and apply the basic analysis tests that can be done
Mode of Delivery
Normal Education
Prerequisites and co-requisities
NONE
Recommended Optional Programme Components
NONE
Course Contents
Science, scientific research process, statistics in health research, descriptive statistics, sample size and sampling methods, SPSS program, statistical analysis methods, table and graph making method
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Science, scientific method, scientific research processNONENONE
2Properties related to variablesNONENONE
3Descriptive statisticsNONENONE
4sample size and sampling methodsNONENONE
5Using SPSSNONENONE
6statistical analysis methodsNONENONE
7Statistical analysis methodsNONENONE
8MidtermNONENONE
9Explanation of statistical analysis methods on the programNONENONE
10NONENONE
11Statistical analysis methodsNONENONE
12Correlation analysisNONENONE
13Table and graph making methodNONENONE
14Repetition of the term topicsNONENONE
15GENERAL EVALUATIONNONENONE
Recommended or Required Reading
Ali Sait Albayrak, ISL368 SPSS Uygulamalı İstatistik Analiz Ders Materyali, Recep Tayyip Erdoğan Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Rize, 2012.Mustafa Köseoğlu, Rahmi Yamak, Uygulamalı İstatistik ve Ekonometri, Celepler Matbaacılık, Trabzon, 2012.Neyran Orhunbilge, Uygulamalı Regresyon ve Korelasyon Analizi, İstanbul Üniversitesi İşletme Fakültesi Yayın No: 281, İstanbul, 2002.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
NONE
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination111
Attending Lectures14114
Question-Answer14114
Self Study14114
Individual Study for Mid term Examination717
Individual Study for Final Examination14114
Performance14114
TOTAL WORKLOAD (hours)79
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
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7
PO
8
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9
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10
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11
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12
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13
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14
PO
15
LO1232443443424242
LO2232433433424223
LO3223443342223242
LO4133232433422232
LO5132243243324242
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High