Infopaket

Information technologies and statistical methods in biology

Обов’язкова дисципліна для ОП

First

2022/2023

3 Semester

3

PR02. Apply modern information technologies, software Internet tools and resources for information support professional activity. PR03. plan, execute, analyze data and present experimental results research in the field of biology. PR06. Apply models, methods and data from physics, chemistry, ecology, mathematics in the learning process and providing professional activity PR07. Have techniques self-education and self-improvement. Be able to project a trajectory professional and personal growth development, applying the acquired knowledge.

1. Knowledge of the theoretical foundations of informatics and mathematics. Pass successfully completed the "Higher Mathematics" course. 2. The ability to independently apply knowledge of the basics of computer science and mathematics, perform practical work. 3. Have computer skills.

The educational discipline is devoted to the study of the role of modern information technologies in biology and methods of statistical analysis of biological data. The main concepts, algorithms and fields of application are considered bioinformatics. Knowledge of theoretical and applied aspects is provided creation (using the R programming language as an example) and computer use programs, databases and modern information technologies in biological research, as well as practical skills in their application to obtain, analysis, presentation and storage of biological information. Discipline forms students have an idea of random variables and their distributions, basic principles of probability theory. Provides basic knowledge of general patterns planning of biological experiments, formation of selective statistics aggregates and their classification mechanisms. Particular attention is paid to the main ones reliability criteria of statistical evaluation and statistical verification hypotheses, methods of numerical and non-numerical data analysis.

1. Жолос О.В. Сучасні інформаційні технології у біології: навчальний посібник. - Київ, 2022. - 197 с. [Електронний ресурс] Режим доступу: https://biomed.knu.ua/images/stories/Kafedry/biofiziki/Library/Posibnyk_CITB_compressed.pdf 2. Медична інформатика та основи статистики: методичні рекомендації для виконання практичних робіт / О.В. Жолос, О.Ф. Мороз, О.Ю. Артеменко, К.І. Богуцька, Н.Є. Нурищенко, О.В. Оглобля. - Київ, 2023. – 125 с. [Електронний ресурс] Режим доступу: https://biomed.knu.ua/images/stories/Kafedry/biofiziki/Library/Medychna_informatyka_ta_osnovy_staty styky_metod_rekom_2023_compressed.pdf 2. Прилуцький Ю.І., Ільченко О.В., Цимбалюк О.В., Костерін С.О. Статистичні методи в біології. Київ: Наукова думка, 2017. - 211 с. 3. Baker M. Big biology: The ’omes puzzle // Nature. – 2013. – 494. - P. 416–419. 4. Буджак В.В. Біометрія: навчальний посібник. – Чернівці: Чернівецький національний університет, 2016. – 272 с.

Lectures, individual works, practical classes.

- current evaluation / control: 1. Modular control work 1 – RN 1.1-1.3 (Topic 1) – 12 points/ 6 points 2. Modular control work 2 - RN 1.4; 1.5 (Topic 2) – 10 points/ 5 points 3. Modular control work 3 – RN 1.6; 1.7 (Topic 3) – 10 points/ 5 points 4. Reports on practical works - RN 2.1-2.3; 3.1 – 28 points/ 14 points - final assessment: in the form of an exam

Ukrainian