English


NURSING (M.S.) PROGRAMME
COURSE DESCRIPTION
Name of the Course Unit Code Year Semester In-Class Hours (T+P) Credit ECTS Credit
STATISTICS LEA501 0 3+0 3.0 7.0


General Information
Language of Instruction Turkish
Level of the Course Unit Master's Degree, TYYÇ: Level 7, EQF-LLL: Level 7, QF-EHEA: Second Cycle
Type of the Course
Mode of Delivery of the Course Unit Face-to-face
Work Placement(s) Requirement for the Course Unit No
Coordinator of the Course Unit
Instructor(s) of the Course Unit
Assistant(s) of the Course Unit

Prerequisites and/or co-requisities of the course unit
CATEGORY OF THE COURSE UNIT
Category of the Course Unit Degree of Contribution (%)
Fundamental Course in the field -
Course providing specialised skills to the main field -
Course providing supportive skills to the main field % 60
Course providing humanistic, communication and management skills -
Course providing transferable skills % 40

Objectives and Contents
Objectives of the Course Unit To provide the student with accurate interpretation and reporting knowledge and skills by planning scientific research, accessing accurate information, collecting data with scientific validity and analyzing them with appropriate statistical methods
Contents of the Course Unit Scientific research and biostatistics, biostatistics in health services, basic concepts in biostatistics, frequency distribution tables and graphs, identifying statistics, probability and distributions, sampling distribution and hypothesis testing, parametric and non-parametric basic biostatistical analysis methods and SPSS applications constitute the content of the course.
Contribution of the Course Intending to Provide the Professional Education To gain the ability to plan, conduct and interpret scientific research by evaluating and evaluating the results

No
Key Learning Outcomes of the Course Unit
On successful completion of this course unit, students/learners will or will be able to:
1 Describes the stages of accessing data with scientific validity
2 Explains basic biostatistics concepts
3 Summarizes data with tables and charts
4 Makes sense of data using the appropriate identifier statistics
5 Describes probability distributions
6 Creates a hypothesis
7 Selects the method of biostatistics analysis suitable for data
8 Creates and tests the hypothesis of whether a sample is one of the randomly received samples from a particular population
9 In two or more independent groups, explains hypotheses tests for comparing averages/medians
10 In two or more dependent groups, explains hypotheses tests for comparing averages/medians

Learning Activities & Teaching Methods of the Course Unit
Learning Activities & Teaching Methods of the Course Unit

Weekly Course Contents and Study Materials for Preliminary & Further Study
Week Topics (Subjects) Preparatory & Further Activities
1 Scientific Research and Biostatistics, Basic Concepts in Biostatistics No file found
2 Tables and Charts of Frequency Distributions No file found
3 Central Tendency and Variance Measurements. SPSS Applications No file found
4 Normal Distribution and Standard Normal Distribution No file found
5 Sampling Distributions, Sampling Distributions of Mean, constructing hypothesis No file found
6 Hypothesis test, one sample Z-test No file found
7 Hypothesis test, one sample t-test, confidence interval, applications of SPSS No file found
8 Parametric and Non-parametric tests: Independent samples (2-sample), comparison of mean (student t-test), application of SPSS No file found
9 Independent samples (2-sample), comparison of mean (Mann Whitney U-test), application of SPSS No file found
10 Dependent samples (2-sample) comparison of mean (related samples t-test). Dependent samples (2-sample) comparison of mean (Wilcoxon test) No file found
11 Independent samples (k-samples, more than two samples), comparison of mean (One-way Analysis of Variance) ANOVA, Part 1 No file found
12 Independent samples (k-samples, more than two samples), comparison of mean (One-way Analysis of Variance) ANOVA, Part 2 No file found
13 Independent samples (k-samples, more than two samples), comparison of median (Kruskal-Wallis test) No file found
14 Qualitative Data Analysis : Chi-square test No file found

SOURCE MATERIALS & RECOMMENDED READING
1- Wayne W. D., Cross C.D., Bioistatistics, A Foundation For Analysis in the Health Sciences. John Wiley & Sons,Inc., USA, 2013.
2- Schork M.A., Remington R.D., Statistics with Applications to the Biological and Health Sciences, Prentice Hall, 2000.
3- Sümbüloğlu, K., Sümbüloğlu, V., Biyoistatistik. Hatiboğlu Yayıncılık, Ankara, 2016

MATERIAL SHARING
Course Notes No file found
Presentations No file found
Homework No file found
Exam Questions & Solutions No file found
Useful Links No file found
Video and Visual Materials No file found
Other No file found
Announcements No file found

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES
LEARNING OUTCOMES OF THE COURSE UNIT NOT DEFINED
*Level of Contribution (0-5): Empty-Null (0), 1- Very Low, 2- Low, 3- Medium, 4- High, 5- Very High

No
Key Learning Outcomes of the Course Unit
On successful completion of this course unit, students/learners will or will be able to:
PROGRAMME LEARNING OUTCOMES
1 Describes the stages of accessing data with scientific validity
2 Explains basic biostatistics concepts
3 Summarizes data with tables and charts
4 Makes sense of data using the appropriate identifier statistics
5 Describes probability distributions
6 Creates a hypothesis
7 Selects the method of biostatistics analysis suitable for data
8 Creates and tests the hypothesis of whether a sample is one of the randomly received samples from a particular population
9 In two or more independent groups, explains hypotheses tests for comparing averages/medians
10 In two or more dependent groups, explains hypotheses tests for comparing averages/medians

Assessment
Assessment & Grading of In-Term Activities Number of
Activities
Degree of Contribution (%)
Mid-Term Exam 2 % 100
Computer Based Presentation 0 -
Short Exam 0 -
Presentation of Report 0 -
Homework Assessment 0 -
Oral Exam 0 -
Presentation of Thesis 0 -
Presentation of Document 0 -
Expert Assessment 0 -
Board Exam 0 -
Practice Exam 0 -
Year-End Final Exam 0 -
Internship Exam 0 -
TOTAL 2 %100
Contribution of In-Term Assessments to Overall Grade 2 %50
Contribution of Final Exam to Overall Grade 1 %50
TOTAL 3 %100


WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites Learning Activities
(# of week)
Duration
(hours, h)
Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 14 5 70
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 0 0 0
Project Work 2 15 30
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 14 1 14
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Total Workload for Learning & Teaching Activities - - 156
Workload for Assessment Activities
Type of the Assessment Activites # of Assessment Activities
Duration
(hours, h)
Workload (h)
Final Exam 1 2 2
Preparation for the Final Exam 1 7 7
Mid-Term Exam 2 1 2
Preparation for the Mid-Term Exam 1 7 7
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
Total Workload for Assessment Activities - - 18
Total Workload of the Course Unit - - 174
Workload (h) / 25.5 6.8
ECTS Credits allocated for the Course Unit 7.0

EBS : Kıbrıs İlim Üniversitesi Eğitim Öğretim Bilgi Sistemi Kıbrıs İlim Üniversitesi AKTS Bilgi Paketi AKTS Bilgi Paketi ECTS Information Package Avrupa Kredi Transfer Sistemi (AKTS/ECTS), Avrupa Yükseköğretim Alanı (Bologna Süreci) hedeflerini destekleyen iş yükü ve öğrenme çıktılarına dayalı öğrenci/öğrenme merkezli öğretme ve öğrenme yaklaşımı çerçevesinde yükseköğretimde uluslarası saydamlığı arttırmak ve öğrenci hareketliliği ile öğrencilerin yurtdışında gördükleri öğrenimleri kendi ülkelerinde tanınmasını kolaylaştırmak amacıyla Avrupa Komisyonu tarafından 1989 yılında Erasmus Programı (günümüzde Yaşam Boyu Öğrenme Programı) kapsamında geliştirilmiş ve Avrupa ülkeleri tarafından yaygın olarak kabul görmüş bir kredi sistemidir. AKTS, aynı zamanda, yükseköğretim kurumlarına, öğretim programları ve ders içeriklerinin iş yüküne bağlı olarak kolay anlaşılabilir bir yapıda tasarlanması, uygulanması, gözden geçirilmesi, iyileştirilmesi ve bu sayede yükseköğretim programlarının kalitesinin geliştirilmesine ve kalite güvencesine önemli katkı sağlayan bir sistematik yaklaşım sunmaktadır. ETIS : İstanbul Aydın University Education & Training System Cyprus Science University ECTS Information Package ECTS Information Package European Credit Transfer and Accumulation System (ECTS) which was introduced by the European Council in 1989, within the framework of Erasmus, now part of the Life Long Learning Programme, is a student-centered credit system based on the student workload required to achieve the objectives of a programme specified in terms of learning outcomes and competences to be acquired. The implementation of ECTS has, since its introduction, has been found wide acceptance in the higher education systems across the European Countries and become a credit system and an indispensable tool supporting major aims of the Bologna Process and, thus, of European Higher Education Area as it makes teaching and learning in higher education more transparent across Europe and facilitates the recognition of all studies. The system allows for the transfer of learning experiences between different institutions, greater student mobility and more flexible routes to gain degrees. It also offers a systematic approach to curriculum design as well as quality assessment and improvement and, thus, quality assurance.