PřF:C6775 NMR Spectr. of Biomolecules - Course Information
C6775 NMR Spectroscopy of Biomolecules
Faculty of ScienceSpring 2012
- Extent and Intensity
- 0/1/0. 2 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: z (credit). Other types of completion: zk (examination).
- Teacher(s)
- prof. Mgr. Lukáš Žídek, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Lukáš Žídek, Ph.D.
National Centre for Biomolecular Research – Faculty of Science
Contact Person: prof. Mgr. Lukáš Žídek, Ph.D.
Supplier department: National Centre for Biomolecular Research – Faculty of Science - Timetable
- Tue 14:00–14:50 C04/118
- Prerequisites
- The course should be taken together with C6770.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Biochemistry (programme PřF, M-CH)
- Biomolecular Chemistry (programme PřF, D-BCH)
- Physical Chemistry (programme PřF, D-CH)
- Physical Chemistry (programme PřF, M-CH)
- Physical Chemistry (programme PřF, N-CH)
- Course objectives
- The main objective of the course is to provide a practical experience with analyzing NMR spectra. An individual project consisting of a set of 3D NMR spectra is given to each students. Each student obtains a different project but students are allowed to discuss their strategy to solve their problems with the classmates. The goal is to combine skills of independent problem solving and of working in a team. The students who successfully finish the project will be able to design a strategy of solving a complex problem, to analyze real experimental data using research (not just educational) software tools, to make a synthesis of partial results, and to formulate a final solution of the complex problem. These spectra are interpreted by students using a real software for spectra analysis.
- Syllabus
- The course is based on solving a single project.
- Literature
- CAVANAGH, John. Protein NMR spectroscopy : principles and practice. 2nd ed. Amsterdam: Elsevier, 2007, xxv, 885. ISBN 9780121644918. info
- Teaching methods
- Hands-on problem solving using a real software tools and real-like data, individual discussions of the solving strategy with the teacher and with classmates.
- Assessment methods
- Successful solving of project required.
- Language of instruction
- English
- Further Comments
- The course is taught annually.
- Enrolment Statistics (Spring 2012, recent)
- Permalink: https://is.muni.cz/course/sci/spring2012/C6775