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Internet resources labolatory

General data

Course ID:	1100-2BB23
Erasmus code / ISCED:	11.301 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0612) Database and network design and administration The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Internet resources labolatory
Name in Polish:	Pracownia wykorzystania zasobów internetowych
Organizational unit:	Faculty of Physics
Course groups:	APBM - Molecular Biophysics; 2nd year courses
ECTS credit allocation (and other scores):	2.00 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
Prerequisites (description):	Dedicated for students of the Faculty of Physics enrolled to the programme "Applications of Physics in Biology and Medicine: Molecular Biophysics. The laboratory is designed for students who have basic experience in using computers and are familiar with structure of biological macromolecules (proteins, DNA, RNA).
Mode:	Classroom
Short description:	Purpose of the classes is to familiarize students with publicly available internet databases for natural sciences, and tools that can be used to search, retrieve and analyze various scientific data.
Full description:	Purpose of the classes is to familiarize students with publicly available internet databases for natural sciences (physics, chemistry, biology and medicine), and tools that can be used to search, retrieve and analyze various scientific data. Issues: 1. Bibliographic databases 2. Sequential databases 3. Molecular structure databases 4. Clinical databases 5. Databases of physicochemical properties of molecules 6. Genomic databases 7. Metabases 8. Non-commercial programs for visualization of macromolecular structures 9. Non-commercial programs and online tools for drawing chemical structures of molecules Required activity of students: laboratories - 30 h preparation for the classes - 15 h (1 h a week) homework - 30 h (2 h a week) Total 75 h
Bibliography:	1. J.-M. Claverie, C. Notredame, "Bioinformatics for Dummiees" 2. Internet sources 3. Online documentation available for different tools and resources
Learning outcomes:	KNOWLEDGE 1. Is familiar with basic databases for natural sciences 2. Is familiar with basic tools to retrieve and analyze data from those databases SKILLS 1. Is able to use effectively public Internet resources and tools to retrieve, analyze and present scientific information ABILITIES 1. Appreciates the significance of public internet databases for natural sciences; understands benefits of using databases in research. 2. Understands the research ethics
Assessment methods and assessment criteria:	Evaluated tests/self-study during classes. The final grade is awarded based on all the grades obtained during classes and the final colloquium.
Practical placement:	None

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

Time span:	2024-02-19 - 2024-06-16	Selected timetable range: weekly course term Navigate to timetable MO TU LAB W TH FR
Type of class:	Lab, 30 hours more information
Coordinators:	Joanna Panecka-Hofman
Group instructors:	Joanna Panecka-Hofman
Students list:	(inaccessible to you)
Examination:	Course - Grading Lab - Grading

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