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-VWM Searching the Web and Multimedia Databases Extent of teaching: 2P+1C Instructor: Completion: Z,ZK Department: 18102 Credits: 5 Semester: L Annotation:
Students get basic overview about search techniques in the web environment that is interpreted as a very large distributed and heterogeneous storage of documents. In particular, students acquire information about search techniques in text and hypertext documents (the web pages themselves) and about feature extraction from web pages. They get detailed knowledge of similarity search in multimedia databases (generally in collections of unstructured data). They also learn techniques for programming web search engines for the mentioned data types (documents).
Lecture syllabus:
1. Web space, search engines, web retrieval modes. 2. Boolean model of information retrieval. 3. Vector model of information retrieval. 4. Link analysis and the web page ranking. 5. [2] Search engine ranking and optimization (SEO). 7. Semantic web and Linked data. 8. Personalized search and social context. 9. Web data mining. 10. Introduction to similarity search in multimedia databases. 11. Indexing of metric similarity for efficient multimedia retrieval. 12. Approximate similarity search. 13. Similarity queries and multimodal search. Seminar syllabus:
1. Project topic presentation. 2. Group consultations. 3. Group consultations. 4. Individual consultations. 5. Individual consultations. 6. Project presentation. 7. Project presentation. Literature:
course slides +
1) Ricardo Baeza-Yates, Berthier Ribeiro-Neto. Modern Information Retrieval: The Concepts and Technology behind Search, 2011, Addison-Wesley Professional, ISBN-10: 0321416910 2) Amy N. Langville, Carl D. Meyer. Google's PageRank and Beyond: The Science of Search Engine Rankings, 2012, Princeton University Press, ISBN-10: 0691152667 3) Kristopher B. Jones. Search Engine Optimization: Your Visual Blueprint for Effective Internet Marketing, 2013, Visual, ISBN-10: 1118551745 4) Pavel Zezula, Giuseppe Amato, Vlastislav Dohnal, Michal Batko. Similarity Search: The Metric Space Approach, 2005, Springer, ISBN-10: 0387291466 Requirements:
Basic knowledge and skills in algorithmics, programming, data structures and database technologies.
Informace o předmětu a výukové materiály naleznete na https://moodle-vyuka.cvut.cz/course/search.php?search=BI-VWM The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester BI-ISM.2015 Information Systems and Management V 4 BI-ZI.2018 Knowledge Engineering PO 4 BI-PI.2015 Computer engineering V 4 BI-TI.2015 Computer Science V 4 BI-SPOL.2015 Unspecified Branch/Specialisation of Study VO 4 BI-WSI-WI.2015 Web and Software Engineering PZ 4 BI-BIT.2015 Computer Security and Information technology V 4 BI-WSI-SI.2015 Web and Software Engineering V 4 BI-WSI-PG.2015 Web and Software Engineering V 4
Page updated 18. 4. 2024, semester: L/2020-1, L/2023-4, L/2019-20, Z/2021-2, L/2022-3, Z/2023-4, Z/2019-20, Z/2022-3, L/2021-2, Z/2024-5, Z/2020-1, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška