A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.
NI-GRI Grid Computing Extent of teaching: 2P+1C Instructor: Sopczak A. Completion: Z,ZK Department: 18104 Credits: 5 Semester: Z Annotation:
Grid computing and gain knowledge about the world-wide network and computing infrastructure.
Lecture syllabus:
1. Introduction to grid computing (grid computing concepts, grid computing motivations, grid computing networks, grid computing infrastructure). 2. Grid security (grid access, virtual organization membership management, grid certificate). 3. Grid access, identity and access management (case study of the Globus Toolkit). 4. Virtual organization membership services (Virtual Organization access control in distributed services, key cryptography, RSA algorithms). 5. Job management, resource allocation, monitoring. 6. User interface (task management system, job schedulers, broker, monitoring of tasks and jobs brokered to the grid, case study of PanDA). 7. Grid Clients (case study of PanDA Clients). 8. Metadata interface (dataset browser, REST API, Python client). 9. Data management (data management system to handle the data including the job outputs, case study of rucio). 10. Grid performance, dependability, and scalability (Grid usage in practice, challenges, performance). 11. Grid administration and operations. 12. Future trends in grid computing. Seminar syllabus:
1. Creating a grid computing environment with the Globus toolkit. 2. Grid identity, access management, administration, security. 3. PanDA user interface and PanDA clients. 4. Case study of rucio. 5. Demonstration application 1. 6. Demonstration application 2. Literature:
Literature Fran Berman, Geoffrey Fox: Grid Computing: Making the Global Infrastructure a Reality, Wiley 2003, ISBN 978-0470853191. Ian Foster, Carl Kesselman, eds.: The Grid: Blueprint for a New Computing Infrastructure, Elsevier 1998, ISBN 978-1558604759.Requirements:
Informace o předmětu a výukové materiály naleznete na https://courses.fit.cvut.cz/NI-GRI The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester NIE-SI.21 Software Engineering 2021 V Není NIE-TI.21 Computer Science 2021 V Není NIE-DBE.2023 Digital Business Engineering V Není NIE-NPVS.21 Design and Programming of Embedded Systems 2021 V Není NIE-PSS.21 Computer Systems and Networks 2021 V Není NIE-PB.21 Computer Security 2021 V Není NI-PB.2020 Computer Security V Není NI-ZI.2020 Knowledge Engineering V Není NI-SPOL.2020 Unspecified Branch/Specialisation of Study V Není NI-TI.2020 Computer Science V Není NI-TI.2023 Computer Science V Není NI-NPVS.2020 Design and Programming of Embedded Systems V Není NI-PSS.2020 Computer Systems and Networks V Není NI-MI.2020 Managerial Informatics V Není NI-SI.2020 Software Engineering (in Czech) V Není NI-SP.2020 System Programming V Není NI-WI.2020 Web Engineering V Není NI-SP.2023 System Programming V Není NI-TI.2018 Computer Science V Není
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