Statistical methods in biology
Course: BIOLOGY (Bachelor) FULL-TIME
Structural unit: Biology And Medicine Institute Science Educational Center
Title
Statistical methods in biology
Code
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
3
Learning outcomes
PR02. Use modern information technologies, software and Internet resources for information support of professional activity.
PR03. Plan, execute, analyze data and present the results of experimental research in the field of biology.
PR06. Apply models, methods and data of physics, chemistry, ecology, mathematics in the process of learning and ensuring professional activity.
PR07. Have the techniques of self-education and self-improvement. Be able to design the trajectory of professional growth and personal development, applying the acquired knowledge.
PR08. Know and understand the basic terms, concepts, theories and laws in the field of biological sciences and on the borders of subject areas.
PR20. Argue the choice of methods, algorithms for planning and conducting field, laboratory, clinical and laboratory research, including mathematical
methods and software for conducting
research, processing and presentation of results.
Form of study
Full-time form
Prerequisites and co-requisites
1. Successful mastering of the courses "Higher Mathematics" and "Modern Information Technologies in Biology".
2. Have computer skills.
Course content
Discipline forms in students the idea of random variables and their distributions, the basic principles of probability theory. Provides basic knowledge of the general patterns of planning biological experiments, the formation of sample statistical populations and mechanisms for their classification. Particular attention is paid to the main criteria for the reliability of statistical evaluation and testing of statistical hypotheses, methods of analysis of numerical and non-numerical data.
The course gives an idea of modern software tools for computer analysis of biological data.
Recommended or required reading and other learning resources/tools
1. Ю.І. Прилуцький, О.В. Ільченко, О.В. Цимбалюк, С.О. Костерін. Статистичні методи в
біології. - К.: Наукова думка, 2018. – 216 с.
Planned learning activities and teaching methods
Practice session,
individual work, lectures
Assessment methods and criteria
Current assessment / control:
1. Modular test 1 - PH 1.1-1.3 - 40 points / 20 points
2. Modular test work 2 - PH 1.4-1.6 - 40 points / 20 points
3. Oral answers and additions - RN 2.1; 2.2; 3.1– 20 points / 10 points
- final assessment: in the form of a test
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline