Fundamentals of bioinformatics

Course: BIOLOGY (Bachelor) FULL-TIME

Structural unit: Biology And Medicine Institute Science Educational Center

Title
Fundamentals of bioinformatics
Code
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
7 Semester
Number of ECTS credits allocated
3
Learning outcomes
PR02. Apply modern information technologies, software and resources Internet for information provision professional activity. PR03. Plan, execute, analyze data and present the results experimental research in the field of biology PR06. Apply models, methods and data physics, chemistry, ecology, mathematics in the process training and provision of professional activity PR08. Know and understand basic terms, concepts, theories and laws in the field of biological sciences and on the border of subject areas.
Form of study
Full-time form
Prerequisites and co-requisites
1. Successful mastering of the courses "General Cytology", "Molecular Biology", "Higher Mathematics", "Biochemistry", "Biotechnology", "Structure and functions of nucleic acids". 2. Be able to independently apply knowledge of general cytology, molecular biology, higher mathematics, biochemistry, biotechnology, structure and - functions of nucleic acids to solve practical problems in bioinformatics; work with scientific and methodological literature.
Course content
The subject of the discipline "Bioinformatics" are methods of preservation, detection, analysis, interpretation and the use of patterns in the sequences of biomolecular systems.
Recommended or required reading and other learning resources/tools
1. Pevsner J. Bioinformatics and Functional Genomics. - Wiley, 2009 — 951р.
Planned learning activities and teaching methods
Lecture, individual work
Assessment methods and criteria
Semester assessment: I. Modular test work on the 1st topic: PH 1.1, 1.2, 1.3, 2.1, 2.2, 2.3, 3.1 - 30 points / 15 points. 2. Modular test work on the 2nd topic: RN 1.2, 1.3, 1.4, 1.5, 2.2, 3.1- 30 points / 15 points. - final assessment: in the form of an exam
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Iryna Vasylivna Rozora
Applied Statistics
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

Applied Statistics
Faculty of Computer Science and Cybernetics