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.
BIE-VWM Searching Web and Multimedia Databases Extent of teaching: 2P+1C Instructor: Completion: Z,ZK Department: 18102 Credits: 5 Semester: L Annotation:
Students gain basic knowledge concerning retrieval techniques on the web, where the web environment is viewed as a large distributed and heterogenous data repository. In particular, the students will understand the techniques for retrieving text and hypertext documents (the web pages). Moreover, they will be aware of similarity retrieval methods focused on heterogenous multimedia databases (unstructured data collections, respectively).
Lecture syllabus:
1. Web space, search engines, web retrieval modalities. 2. Boolean model of information retrieval. 3. Vector model of information retrieval. 4. Link analysis and PageRank. 5. Web page ranking and search engine optimization. 6. Semantic web and Linked data. 7. Deep web and social context. 8. Introduction to the similarity search in multimedia databases. 9. Similarity queries. 10. Indexing metric similarity for efficient multimedia retrieval. 11. Approximate similarity retrieval. 12. Advanced similarity search models. 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 5) Charu C. Aggarwal. Data Mining: The Textbook. 2015, Springer, ISBN-10: 9783319141411 Requirements:
Basic knowledge and skills in algorithmics, programming, data structures and database technologies.
Information about the course and courseware are available at https://courses.fit.cvut.cz/BI-VWM/ The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester BIE-WSI-SI.2015 Software Engineering (Bachelor, in English) V 4 BIE-TI.2015_ORIGINAL Computer Science (Bachelor, in English) V 4 BIE-TI.2015 Computer Science (Bachelor, in English) V 4 BIE-BIT.2015 Computer Security and Information technology (Bachelor, in English) V 4
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