Biostatistics (MED283) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Biostatistics MED283 2 0 0 2 4
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The aim of this course is to provide students with basic statistical concepts, data collection and evaluation processes, basic statistical analysis and reporting of data.
Course Learning Outcomes The students who succeeded in this course;
  • Know basic statistical concepts.
  • Chooses, applies and interprets appropriate hypothesis tests.
  • Learns data collection and evaluation processes.
  • Know data entry and analysis.
  • Generate and interpret appropriate tables and graphics.
Course Content Basic statistical concepts, introduction to biostatistics, standardization, probability, theoretical distributions, sampling distributions, sampling methods, descriptive statistics, data collection forms and data collection methods, data entry into statistical programs, hypothesis testing, single sample tests, two sample and k sample tests (dependent, independent), parametric tests, nonparametric tests, correlation and regression analysis, creating tables and graphics, reporting of data.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Basic definitions and concepts related to statistics Introduction to biostatistics Reading the subject from references
2 Standardization, Probability Reading the subject from references
3 Theoretical distributions - Sample distributions - Confidence intervals Reading the subject from references
4 Descriptive statistics Reading the subject from references
5 Data collection forms and data collection methods Reading the subject from references
6 Data entry into statistical programs Reading the subject from references
7 Introduction to hypothesis testing - Single sample tests Reading the subject from references
8 Midterm
9 Two sample and K sample tests (dependent, independent) Reading the subject from references
10 Parametric tests Reading the subject from references
11 Nonparametric tests Reading the subject from references
12 Correlation Analysis Reading the subject from references
13 Regression Analysis Reading the subject from references
14 Creating tables and charts Reading the subject from references
15 Reporting of data Reading the subject from references


Course Book 1. Zar, J. H. (2013). Biostatistical Analysis: Pearson New International Edition. Pearson Higher Ed.
2. Chernick, M.L. and Friis, R.H. (2003). Introductory Biostatistics for the Health Sciences. Wiley Interscience
3. Sümbüloğlu, K ve Sümbüloğlu, V. (2016). Biyoistatistik. 17. Baskı. Hatipoğlu Yayınevi. Ankara
4. Hayran, M. (2011). Sağlık araştırmaları için temel istatistik. Omega Araştırma

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 50
Final Exam/Final Jury 1 50
Toplam 2 100
Percentage of Semester Work 50
Percentage of Final Work 50
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Has the necessary current information to meet individual, family and community health needs in an individual and holistic approach in the direction of the nursing process. X
2 Has knowledgeable and capable of evaluating the validity, validity and reliability of scientific knowledge. X
3 Has the skills to perform nursing care using theoretical, evidence-based and practical knowledge to maintain, develop and treat illnesses. X
4 Demonstrates nursing care in the direction of scientific research, evidence, developing technology and current health policies. X
5 Respects human rights and dignity in nursing education, practices, research and management. X
6 Carries out nursing practices in accordance with legislation, professional values, standards and ethical principle. X
7 Uses critical thinking, problem solving and decision making skills in the nursing care process. X
8 Continues self management activities as an individual and a team member within the scope of its managerial role. X
9 Takes part in researches, projects and events in the association with the health team and the other disciplines with a sense of social responsibility X
10 Uses English in a way that can comprehend literature, communicate effectively in written and verbal manner. X
11 Leads to innovation and changing with adopting the philosophy of lifelong learning for personal and professional development. X
12 Become a model to professional colleagues and communities by acting in accordance with professional ethics principles and values. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 2 32
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 12 12
Prepration of Final Exams/Final Jury 1 14 14
Total Workload 100