Obligatory courses for 3rd grade Bioinformatics (course group defined by Faculty of Mathematics, Informatics, and Mechanics)

Faculty: Faculty of Mathematics, Informatics, and Mechanics

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Course group: Obligatory courses for 3rd grade Bioinformatics

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2024Z - Winter semester 2024/25
2024L - Summer semester 2024/25
2024 - Academic year 2024/25
2025Z - Winter semester 2025/26
2025L - Summer semester 2025/26
2025 - Academic year 2025/26
(there could be semester, trimester or one-year classes)

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2024Z

2024L

2024

2025Z

2025L

2025

1000-716BIS

Faculty of Mathematics, Informatics, and Mechanics

Systems biology

Wydział Matematyki, Informatyki i Mechaniki

Biologia systemów

n/a

Classes

Summer semester 2024/25

Classes - 45 hours
Lecture - 15 hours

Summer semester 2025/26

Classes - 45 hours
Lecture - 15 hours

Groups

- Obligatory courses for 3rd grade Bioinformatics

Brief description

The lecture presents currently developed tools for modeling and analyzing complex biological systems.

Course page

1000-715bBSK

Faculty of Mathematics, Informatics, and Mechanics

Biological coordinate systems

Wydział Matematyki, Informatyki i Mechaniki

Biologiczne systemy koordynacji

n/a

Classes

Summer semester 2024/25

Classes - 30 hours
Seminar - 30 hours
Lecture - 30 hours

Groups

- Obligatory courses for 3rd grade Bioinformatics

Brief description

Educational content: tissues, organs, organ systems in plants and animals, populations; growth and differentiation of plants and animals; elements of immunology; plant and animal reproduction; plant responses to environmental changes; animal behavior; systemic signaling in plants and animals; regulation of metabolism; population dynamics.

Course page

1000-716EWO

Faculty of Mathematics, Informatics, and Mechanics

Evolutionism

Wydział Matematyki, Informatyki i Mechaniki

Ewolucjonizm

n/a

Classes

Winter semester 2024/25

Lab - 30 hours
Lecture - 30 hours

Winter semester 2025/26

Lab - 30 hours
Lecture - 30 hours

Groups

- Obligatory courses for 3rd grade Bioinformatics

Brief description

The course "Evolutionism" is intended for students of Bioinformatics and Systems Biology and includes both lectures and practicals. The lectures include an outline of the history of life on Earth and of the basic mechanisms of evolution. The practicals are devoted primarily to phylogenetic and evolutionary analyzes using open/free software.

Course page

1000-716MNP

Faculty of Mathematics, Informatics, and Mechanics

Mathematical models in natural sciences

Wydział Matematyki, Informatyki i Mechaniki

Modele matematyczne nauk przyrodniczych

n/a

Classes

Winter semester 2024/25

Classes - 30 hours
Lab - 15 hours
Lecture - 30 hours

Winter semester 2025/26

Classes - 30 hours
Lab - 15 hours
Lecture - 30 hours

Groups

- Obligatory courses for 3rd grade Bioinformatics

Brief description

The course concerns the application of discrete and continuous dynamical systems to describe natural phenomena. Basic concepts concerning the analysis of models described by discrete equations and ordinary differential equations, as well as the simplest partial models are discussed.

Course page

1000-726LIC

Faculty of Mathematics, Informatics, and Mechanics

B.Sc. degree laboratory

Wydział Matematyki, Informatyki i Mechaniki

Pracownia licencjacka

n/a

Classes

Academic year 2024/25

Proseminar - 60 hours

Academic year 2025/26

Lab - 60 hours

Groups

- Obligatory courses for 3rd grade Bioinformatics

Brief description

Students perform tasks contributing to their bachelor's thesis under the promoter supervision.

Course page

1000-715TSG

Faculty of Mathematics, Informatics, and Mechanics

Genome-scale technologies

Wydział Matematyki, Informatyki i Mechaniki

Technologie w skali genomowej

n/a

Classes

Winter semester 2024/25

Lab - 30 hours
Lecture - 30 hours

Winter semester 2025/26

Lab - 30 hours
Lecture - 30 hours

Groups

- Obligatory courses for 3rd grade Bioinformatics

Brief description

Learning modern methods (experimental and bioinformatic) of high-throughput genomics data generation and analysis on the level of the genome, transcriptome and proteome.

Course page