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Systems biology

General data

Course ID: 1000-716BIS
Erasmus code / ISCED: (unknown) / (unknown)
Course title: Systems biology
Name in Polish: Biologia systemów
Organizational unit: Faculty of Mathematics, Informatics, and Mechanics
Course groups: Obligatory courses for 3rd grade Bioinformatics
Subjects for PhD students
ECTS credit allocation (and other scores): 4.50 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: Polish
Type of course:

obligatory courses

Short description:

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

Full description:

Learning content:

Modeling of genomic instability; models of transposon element proliferation (Fischer spatial model);

Genomic rearrangements, changes in chromatin organization and dysregulation;

Molecular processes on the scale of the proteome (modeling of proteolysis);

Models integrating genetic and metabolomic data;

Models of biochemical reactions (deterministic and stochastic).

Bibliography:

relevant scientific articles

Learning outcomes:

skills and competences:

- analysis and simulation of biochemical networks at different levels of approximation (K_U23)

-understands the principles of construction of analytical and computer models of natural phenomena (K_U17)

- sees and understands the diversity of regulatory systems in biology (K_W21)

Assessment methods and assessment criteria:

Programming projects related to modeling and data mining as a laboratory pass.

The oral exam allows you to pass the lecture.

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-19 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 45 hours more information
Lecture, 15 hours more information
Coordinators: Krzysztof Gogolewski
Group instructors: Krzysztof Gogolewski
Students list: (inaccessible to you)
Examination: Examination

Classes in period "Summer semester 2024/25" (future)

Time span: 2025-02-17 - 2025-06-08
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 45 hours more information
Lecture, 15 hours more information
Coordinators: Krzysztof Gogolewski
Group instructors: Krzysztof Gogolewski
Students list: (inaccessible to you)
Examination: Examination
Course descriptions are protected by copyright.
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00-927 Warszawa
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