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.
BI-MDF.21 Modern Data Formats Extent of teaching: 1P+1C Instructor: Pauš P. Completion: KZ Department: 18102 Credits: 3 Semester: Z Annotation:
The goal of the course is to give an overview of commonly used data formats for typical types of data. There will be a description of each data type and the data formats used for that data type along with tools available to work with such data. After finishing the course, the students should know how to work with common data, e.g. on the Web.
Lecture syllabus:
1. Introduction: Data models, data formats, data schemas, text-based and binary formats, standardization, validation, URI 2. XML-based formats - XML, XPath, XSLT, XSD 3. Additional hierarchical formats - JSON, JSON schema, YAML 4. Graph formats - RDF, JSON-LD 5. Query languages for graph formats - SPARQL 6. Traditional text formats - CSV, Plain text, INI Seminar syllabus:
1. Basics of data modeling - UML class diagrams 2. Working with data in XML - XML, XPath, XSLT, XSD 3. Working with data in additional hierarchical data formats - JSON, JSON schema, YAML 4. Working with data in graph data formats - RDF, JSON-LD 5. Querying data in graph data formats - SPARQL 6. Working with data in traditional text formats - CSV, Plain text, INI Literature:
1. Heath T., Bizer C. - Linked Data: Evolving the Web into a Global Data Space (1st Edition), Morgan & Claypool, 2011, 9781608454303 2. Kay M. - XSLT 2.0 and XPath 2.0 Programmer's Reference (4th Edition), Wiley, 2008, 978-0470192740 3. McPeak J. - Beginning JavaScript (5th Edition), Wiley, 2015, 978-1-118-90374-2 Requirements:
None
Informace o předmětu a výukové materiály naleznete na https://courses.fit.cvut.cz/BI-MDF/ The course is also part of the following Study plans:
Page updated 20. 4. 2024, semester: L/2023-4, L/2020-1, L/2022-3, L/2021-2, Z/2019-20, Z/2022-3, Z/2020-1, Z/2023-4, L/2019-20, Z/2021-2, Z/2024-5, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška