MEDICAL LABORATORY TECHNIQUES
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

General Information about the Course

Course Code: SMY141
Course Title: Tıbbi Biyoistatistik
Course Semester: 3. Semester / Fall
Course Credits:
Theoretical Practical Credit ECTS
2 0 2 3
Language of instruction: TR
Prerequisite of the course: No
Type of course: Necessary
Level of course:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. 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) Draws the framework of how the experiment will be designed and how the hypothesis checks will be done.
  2) Explains the basic statistics concepts.
  3) Selects the method to be used in the comparison of two or more groups.
Skills (Describe as Cognitive and/or Practical Skills.)
  1) They acquire the ability to use package programs on the computer.
  2) Choosing the right statistical method.
  3) Making statistical applications.
  4) Analytical thinking.
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 Analysis
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

2

3

8

4

6

7

9

5

Program Outcomes
1) To have basic information about the normal structure-functions of human systems, to analyze this information at the tissue-cell level and to associate it with diseases.
2) To have knowledge about the work organization in medical laboratories and to be able to carry out applications.
3) To be able to take appropriate samples from patients for medical laboratory tests and to transfer samples under appropriate conditions.
4) To be able to do sample preparation before analysis, to prepare maintenance preparations, to apply disinfection and sterilization techniques.
5) To be able to apply basic tests related to different areas of medical laboratory, to prepare analysis solutions.
6) To be able to associate medical laboratory tests with metabolism and structure-functions of body systems or microbial/parasitic factors.
7) To be able to reveal the sources of error in the total testing process in medical laboratories and to produce solutions.
8) To be able to use information technologies in medical laboratory applications and to improve themselves by using information technologies.
9) To be able to define medical laboratories quality management systems, to carry out quality control processes, to use statistical methods in these applications.
10) To be able to apply safety rules in medical laboratories, to take personal safety precautions and to create a safe laboratory environment.
11) To be able to apply environmental health and waste management measures in medical laboratory studies, to have knowledge about environmental protection legislation.
12) Who has sufficient knowledge about the devices and chemicals in the working environment and undertakes the tasks assigned to that one. In extraordinary situations that may disrupt the workflow, it primarily contributes to solving problems individually and, if necessary, as a team.
13) Be open to scientific and technological developments and follow them. 3 3 3 3 3 3 3 3 3
14) Evaluates the basic level of knowledge and skills acquired in the field with a critical approach; identifies learning needs and obtains gains. 3 3 3 3 3 3 3 3 3
15) Ability to communicate individually and socially, and work as a team in the laboratory and in the institution where the laboratory is located.
16) Can communicate effectively in oral and written form and uses Turkish effectively in the execution of health services.
17) Being able to speak and write English at an intermediate level, use a foreign language in professional practice.
18) It can apply first aid in emergency situations, provide basic life support, and transport the sick and injured.
19) Has knowledge about defining general ethical and moral concepts, complying with the principles of professional and medical ethics, special medical ethical issues and patient rights.

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 28
Laboratory
Application 6 12
Practice Exam
Special Course Internship (Work Placement)
Field Work 13 13
Study Hours Out of Class 13 13
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.)
Project Preparation + Presentation
Report Preparation + Presentation
Presentation / Seminar Preparation + Presenting
Oral examination
Preparing for Midterm Exams 7 7
MIDTERM EXAM (Visa) 1 2
Preparing for the General Exam 13 13
GENERAL EXAM (Final) 1 3
Participation
Discussion
Portfolio
Take-Home Exam
Logbook
Total Workload 91
ECTS (30 saat = 1 AKTS ) 3