MIDWIFERY
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General Information about the Course

Course Code: EBE 314
Course Title: Occupational Research Methods and Biostatistics
Course Semester: 5. Semester / Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 3
Language of instruction: TR
Prerequisite of the course: No
Type of course: Necessary
Level of course:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Course Lecturer(s): Ercan Tutar

Purpose and content of the course

Course Objectives: In this course, basic statistical concepts will be taught and statistical analysis methods used in health science research will be discussed. Students will learn concepts such as probability theory, distributions, descriptive statistics, and will master methods such as hypothesis testing, correlation analysis, and regression analysis.
Course Objective: The aim of this course is to provide the student with a positivist approach to a subject within the scope of scientific method, designing research and reporting the subject in accordance with the methodology with statistical methods.
Mode of Delivery: Face to face

Learning Outcomes

Knowledge (Described as Theoritical and/or Factual Knowledge.)
  1) Explains the basic statistics concepts.
  2) Draws the framework of how the experiment will be designed and how the hypothesis checks will be done.
  3) Selects the method to be used in the comparison of two or more groups.
Skills (Describe as Cognitive and/or Practical Skills.)
  1) Analytical thinking.
  2) Choosing the right statistical method.
  3) Making statistical applications.
  4) They acquire the ability to use package programs on the computer.
Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)
  1) Develop the ability to read and analyze articles.
  2) Plan a study.

Course Topics

Week Subject
Related Preparation Pekiştirme
1) Introduction to Biostatistics
2) Statistical Concepts
3) Descriptive Statistics
4) Measures of Central Tendency
5) Probability Distributions
6) Normal Distribution
7) Confidence Intervals and Sampling Methods
8) Point Estimates and Confidence Intervals
9) Hypothesis Tests
10) Correlation Analysis
11) Regression and Research Processes
12) Data Analysis with SPSS
13) Data Analysis with SPSS
14) Data Analysis with SPSS
References: Güler, F. (2012). İstatistik Metotları ve Uygulamaları. İstanbul: Beta Yayınları.
Yıldırım, İlknur E. (2017). İstatistiksel Araştırma Yöntemleri. İstanbul: Seçkin Yayınları.
Mazmanoğlu, A. (2016). Herkes İçin Temel İstatistik Yöntemleri ve Uygulamaları. İstanbul: Nobel Akademik Yayıncılık.
Erbaş, Semra O. (2014). Olasılık ve İstatistik. İstanbul: Gazi Kitabevi
Field, A. (2009). Discovering Statistics Using SPSS. London: Sage

Ders - Program Öğrenme Kazanım İlişkisi

No Effect 1 Lowest 2 Average 3 Highest
       
Ders Öğrenme Kazanımları

1

1

2

3

1

1

2

3

4

Program Outcomes
1) xxx
2) xxx
3) xxx
4) xxx
5) xxx
6) xxx
7) xxx
8) xxx
9) xxx
10) xxx
11) xxx 5
12) xxx
13) xxx
14) xxx

Course Teaching, Learning Methods

Q & A
Case Problem Solving/ Drama- Role/ Case Management
Laboratory
Quantitative Problem Solving
Fieldwork
Group Study / Assignment
Individual Assignment
WEB-based Learning
Internship
Practice in Field
Project Preparation
Report Writing
Seminar
Supervision
Social Activity
Occupational Activity
Occupational Trip
Application (Modelling, Design, Model, Simulation, Experiment et.)
Reading
Thesis Preparation
Field Study
Student Club and Council Activities
Other
Logbook
Interview and Oral Conversation
Research
Watching a movie
Bibliography preparation
Oral, inscribed and visual knowledge production
Taking photographs
Sketching
Mapping and marking
Reading maps
Copying textures
Creating a library of materials
Presentation

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Practice Exam % 0
Quizzes % 0
Homework Assignments 2 % 0
Presentation % 0
Project % 0
Special Course Internship (Work Placement) % 0
Field Study % 0
Article Critical % 0
Article Writing % 0
Module Group Study % 0
Brainstorming % 0
Role Playing + Dramatizing % 0
Out of Class Study % 0
Preliminary Work, Reinforcement % 0
Application Repetition etc. % 0
Homework (reading, writing, watching movies, etc.) % 0
Project Preparation + Presentation % 0
Report Preparation + Presentation % 0
Presentation / Seminar Preparation + Presenting % 0
Oral examination % 0
Midterms 1 % 40
Final 1 % 60
Report Submission % 0
Bütünleme % 0
Kanaat Notu % 0
Committee % 0
Yazma Ödev Dosyası % 0
Portfolio % 0
Take-Home Exam % 0
Logbook % 0
Discussion % 0
Participation % 0
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Calculation of Workload and ECTS Credits

Activities Number of Activities Workload
Course Hours 14 42
Laboratory
Application 3 9
Practice Exam
Special Course Internship (Work Placement)
Field Work
Study Hours Out of Class
Article Critical
Article Writing
Module Group Study
Brainstorming
Role Playing + Dramatizing
Out-of-Class Study (Pre-study, Reinforcement, Practice Review, etc.)
Homework (reading, writing, watching movies, etc.) 1 3
Project Preparation + Presentation
Report Preparation + Presentation
Presentation / Seminar Preparation + Presenting
Oral examination
Preparing for Midterm Exams 1 15
MIDTERM EXAM (Visa) 1 3
Preparing for the General Exam 1 15
GENERAL EXAM (Final) 1 3
Participation
Discussion
Portfolio
Take-Home Exam
Logbook
Total Workload 90
ECTS (30 saat = 1 AKTS ) 3