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Obligatory courses for 2nd year 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 year Bioinformatics
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2023Z - Winter semester 2023/24
2023L - Summer semester 2023/24
2024Z - Winter semester 2024/25
2024L - Summer semester 2024/25
(there could be semester, trimester or one-year classes) 		Actions
2023Z 2023L 2024Z 2024L
1000-712ASD n/a n/a
Classes
Summer semester 2023/24
  • Classes - 15 hours
  • Lab - 15 hours
  • Lecture - 30 hours
Summer semester 2024/25
  • Classes - 15 hours
  • Lab - 15 hours
  • Lecture - 30 hours
Groups

Brief description

Algorithm design and analysis. Survey of fundamental algorithms and data structures. Improving practical programming and algorithm development skills. Applying ready to use libraries of algorithms and data structures.

 		Course page
1000-713BM1 n/a n/a
Classes
Winter semester 2023/24
  • Seminar - 30 hours
  • Lecture - 60 hours
Winter semester 2024/25
  • Seminar - 30 hours
  • Lecture - 60 hours
Groups

Brief description

In this course students become acquainted with the basic concepts and techniques of classical and molecular genetics, genomics, and genome evolution.

 		Course page
1000-714BM2 n/a n/a n/a
Classes
Summer semester 2023/24
  • Classes - 30 hours
  • Lecture - 30 hours
Groups

Brief description

In this course students become acquainted with the basic concepts and techniques of eukaryotic genetics and human classical and molecular genetics and genomics.

 		Course page
1000-714bMPE n/a n/a n/a
Classes
Summer semester 2023/24
  • Classes - 30 hours
  • Lecture - 15 hours
Groups

Brief description

During the lecture, students will learn about the structure of enzymatic proteins, the mechanisms of enzymatic catalysis, and enzymatic kinetics. The classes will present techniques and methods useful in working with enzymes in vitro and in silico.

 		Course page
1000-715bOTG n/a n/a
Classes
Winter semester 2023/24
  • Classes - 30 hours
  • Lecture - 30 hours
Winter semester 2024/25
  • Classes - 30 hours
  • Lecture - 30 hours
Groups

Brief description

The lecture encompasses optimization in multidimensional spaces and noncooperative game theory

Course page
1000-713PPO n/a n/a
Classes
Winter semester 2023/24
  • Lab - 30 hours
  • Lecture - 30 hours
Winter semester 2024/25
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

Introduction to object-oriented programming (in Java), introduction to object-oriented software design (with UML).

 		Course page
1000-712bRPR n/a n/a n/a
Classes
Winter semester 2023/24
  • Classes - 45 hours
  • Lecture - 30 hours
Groups

Brief description

The course is an introduction to the basic concepts and methods of the probability theory. The material includes the notion of probability, Kolmogorov’s axioms, conditional probability and independence, overview of basic discrete models of probability theory, basic discrete and continuous probability distributions, parameters of probability distributions, laws of large numbers, Central Limit Theorem, Markov chains, elements of information theory.

 		Course page
1000-714SAD n/a n/a
Classes
Summer semester 2023/24
  • Classes - 15 hours
  • Lab - 30 hours
  • Lecture - 30 hours
Summer semester 2024/25
  • Classes - 15 hours
  • Lab - 30 hours
  • Lecture - 30 hours
Groups

Brief description

Introduction to basic statistical notions and tools, such as parameter estimation and hypothesis testing. Introduction to data science, covering classification and clustering methods.

The Mathematics students can alternatively take the course

1000-116bST,

which has a different character.

 		Course page
1000-711BI1 n/a n/a
Classes
Winter semester 2023/24
  • Lab - 45 hours
  • Lecture - 15 hours
Winter semester 2024/25
  • Lab - 45 hours
  • Lecture - 15 hours
Groups

Brief description

The lecture and the accompanying computer lab are intended for students of the second year of the macro-course "Bioinformatics and Systems Biology" and for the third year of "Molecular Design and Bioinformatics". They provide the basis for the application of computer science and computational science to the analysis of genes, genomes and proteins.

 		Course page
1000-714BI2 n/a n/a n/a
Classes
Summer semester 2023/24
  • Lab - 60 hours
Groups

Brief description

The lecture and the accompanying computer lab are intended for students of the second year of the macro-course "Bioinformatics and Systems Biology" and for the third year of "Molecular Design and Bioinformatics". They provide the basis for the application of computer science and computational science to the analysis of genes, genomes and proteins.

 		Course page
Krakowskie Przedmieście 26/28
00-927 Warszawa tel: +48 22 55 20 000 https://uw.edu.pl/ contact accessibility statement USOSweb 7.0.3.0 (2024-03-22)