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Obligatory courses for 2nd stage Bioinformatics (course group defined by Faculty of Mathematics, Informatics, and Mechanics)

Faculty: Faculty of Mathematics, Informatics, and Mechanics Courses displayed below are part of group defined by this faculty, but this faculty is not necessarily the one that organizes these courses. Read Help for more information on this subject.
Course group: Obligatory courses for 2nd stage Bioinformatics
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2024Z - Winter semester 2024/25
2024L - Summer semester 2024/25
2025Z - Winter semester 2025/26
2025L - Summer semester 2025/26
(there could be semester, trimester or one-year classes) 		Actions
2024Z 2024L 2025Z 2025L
1000-717ADP n/a n/a
Classes
Summer semester 2024/25
  • Lab - 30 hours
  • Lecture - 30 hours
Summer semester 2025/26
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

Knowledge of the structure of larger bioinformatic software projects. Students create a team project, learn how to use code version control systems and how to collaborate on code writing. They discuss history of development of some leading bioinformatics software packages, libraries and databases. Possible options for choice of software licenses are discussed. They talk about the role of open source and free software in scientific programs and their role in reproducibility of research.

 		Course page
1000-719GP2 n/a
n/a
Classes
Winter semester 2024/25
  • Lab - 30 hours
  • Lecture - 30 hours
Winter semester 2025/26
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

he lecture aims to familiarize students with selected models, algorithms, and tools used in comparative genomics, particularly on trees, and their application in various contexts. The planned exercises will be partly in the form of a computer laboratory.

 		Course page
1000-717PRL n/a
n/a
Classes
Winter semester 2024/25
  • Lab - 30 hours
  • Lecture - 30 hours
Winter semester 2025/26
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

The aim of the course is to present the basics of computational design of biologically active compounds.

 		Course page
1000-719bMSB n/a n/a
Classes
Summer semester 2024/25
  • Classes - 30 hours
  • Lecture - 30 hours
Summer semester 2025/26
  • Classes - 30 hours
  • Lecture - 30 hours
Groups

Brief description

Models and inferences in computational molecular biology, focusing on how statistics and machine learning methods are used to understand complex systems.

 		Course page
1000-718SAD n/a
n/a
Classes
Winter semester 2024/25
  • Lab - 30 hours
  • Lecture - 30 hours
Winter semester 2025/26
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

Advanced course in machine learning methods.

 		Course page
ul. Banacha 2
02-097 Warszawa tel: +48 22 55 44 214 https://www.mimuw.edu.pl/ contact accessibility statement site map USOSweb 7.1.2.0-bc9fa12b9 (2025-06-25)