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.
MI-W20.16 Web 2.0 Extent of teaching: 2P+1C Instructor: Completion: Z,ZK Department: 18102 Credits: 5 Semester: L Annotation:
Students will learn new trends and technologies on the Web including theoretical foundations. Students will gain an overview about Web applications architectures, concepts and technologies about programmable Web (REST Architectures, Mashups), basic mechanisms for knowledge representation on the Web (microformats, meta-data, ontologies, open linked data, etc.), mechanisms about collective intelligence (collaborative filtering, predictions of users' behaviours), social networks, and security.
Lecture syllabus:
1. Web 1.0: basic concepts and technologies URI, HTTP, HTML. 2. Web 2.0: read/write web, programmable web, democratized web, decentralized web, real-time web. 3. REST Architecture, RESTful services. 4. RESTful design patterns for Web API, Mashups. 5. Meta-data, knowledge representation, semantics. 6. Content annotation, microformats, open link data. 7. User interface elements, Rich User Experience. 8. Collective intelligence, collaborative filtering methods. 9. Decision trees, users' activities analysis. 10. Crowdsourcing principles and technologies, social networks, folksonomies. 11. Protocols for real-time Web. 12. Security mechanisms (OAuth, OpenID). 13. Security threats (phishing, X-site scripting, clickjacking), precautions. Seminar syllabus:
1. Basic Web application design (functions, data, user interface). 2. Web API design. 3. User interface design. 4. Web application semantics and meta-data. 5. Collective intelligence mechanisms implementation. 6. Application security, security verification. Literature:
1. Vossen, G., Hagemann, S. ''Unleashing Web 2.0''. Morgan Kaufmann, 2007. ISBN 0123740347. 2. Segaran, T. ''Programming Collective Intelligence: Building Smart Web 2.0 Applications''. O'Reilly Media, 2007. ISBN 0596529325. Requirements:
Software architectures and Web technologies (HTTP, HTML, URI, XML), programming skills (Java, JavaScript), computer networks, statistics, graph theory, and basic algorithms.
Informace o předmětu a výukové materiály naleznete na https://courses.fit.cvut.cz/MI-W20/ The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester MI-SP-SP.2016 System Programming V 2 MI-WSI-WI.2016 Web and Software Engineering PZ 2 MI-SP-TI.2016 System Programming V 2 MI-WSI-ISM.2016 Web and Software Engineering V 2 MI-SPOL.2016 Unspecified Branch/Specialisation of Study VO 2 MI-PSS.2016 Computer Systems and Networks V 2 MI-PB.2016 Computer Security V 2 NI-TI.2018 Computer Science V 2 MI-NPVS.2016 Design and Programming of Embedded Systems V 2 MI-ZI.2016 Knowledge Engineering V 2 MI-ZI.2018 Knowledge Engineering V 2 MI-WSI-SI.2016 Web and Software Engineering V 2
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