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TR

BIOSTATISTICS

Course
STAT310 - BIOSTATISTICS
Department
Basic Sciences and Humanities
Course Type
Course
Status
Required
Language
English
Credit
2
ECTS
3
T+P+L
2 + 0 + 0
Course Coordinator(s)
Asst. Prof. Dr. Oluwasuyi Ayobami OBA
Prerequisite
-
Keywords

Course Description

Introduction to Biostatistic will be done with the definition of statistics and biostatistic. Students will learn in which study areas this science is used. Bilimsel araştırmaların önemi vurgulanarak, biyoistatistiğin bu çalışmalardaki yeri ve önemi anlatılacaktır. Bilimsel araştırmalarda izlenen yollar anlatilacaktir. Data, data types and data collection methods, together with the types of data analysis will be studied by the students. Initially, as a type of data analysis, descriptive studies will be described and using different data types of these descriptive analysis will be practiced. The module will give information regarding graphics and tables; and the importance of these in biostatistics. Different data series will be given to students and they will be taught on producing graphics and tables using the given data series.

BIOSTATISTICS

Evaluation Tools (Active Term)

Item Type Weight (%)
Quiz Quiz 15
Midterm Midterm 40
Final Final 45
Total 100

Course outcomes

  1. 01 Apply statistical methods in the problem-solving approach
  2. 02 Interpret the results of statistical theory
  3. 03 Compute and interpret descriptive statistics using numerical and graphical techniques
  4. 04 Identify and apply the basic concepts of probability

Course Syllabus

Week Topic
Week 1 Introduction to basic statistical definitions. Measurement and Measurement Scales. Sampling and Statistical Inference. The Scientific Method and The Design of Experiments.
Week 2 Chart types (bar chart, pie chart, dot plot, stem and leaf display, histogram)
Week 3 Frequency Distributions
Week 4 Frequency Distributions
Week 5 Classification of data. Descriptive Statistics: Measures of Central Tendency and Dispersion.
Week 6 Sample Space, Elementary Properties of Probability. Calculating the Probability of an Event, Probability Distributions
Week 7 Midterm Exam
Week 8 Midterm Exam
Week 9 Continuous Probability Distributions: The Normal Distribution and applications.
Week 10 Continuous Probability Distributions: The Normal Distribution and applications.
Week 11 Sampling Distributions. Distribution of the Sample Mean. Distribution of the Difference between two Sample Means, Confidence Intervals
Week 12 Correlation & Regression Analysis
Week 13 Final Exams
Week 14 Final Exams
Week 15 -

Reference Books & Course Materials

  1. 01 Wayne W. Daniel, BIOSTATISTICS: Basic Concepts and Methodology for the Health Sciences, 9th ed., Wiley

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. P01 Has the theoretical and applied knowledge required by the dietitian profession
  2. P02 Uses the knowledge and skills throughout the professional life, in the protection and improvement of individual, family and community health, to prevent and treat the diseases.
  3. P03 Provides training and consultancy by using scientific evidence in order to increase the health level and quality of life of the society.
  4. P04 Have the ability of learning, critical thinking, problem solving and decision making skills in the field of Nutrition and Dietetics.
  5. P05 Uses information technologies and specific technological equipment to the field effectively
  6. P06 Maintains personal and professional development with the awareness of lifelong learning.
  7. P07 Carries out its profession in accordance with in the line with ethical principles, legal framework and standards.
  8. P08 Uses the professional skills in accordance with the fundamental values and culture of the population at national and international statues.
  9. P09 Acts in accordance with quality management processes.
  10. P10 Takes a role in research, projects and activities in collaborate with the healthcare team and other disciplines.
  11. P11 Have the ability to follow information in the professional field and to communicate with colleagues by using Turkish and at least one foreign language.

Po-Lo Matrix

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