Course: Social Networks

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Course title Social Networks
Course code USII/PSOS
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study 2
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Panuš Jan, Ing. Ph.D.
Course content
Basic terms Social networks in terms of sociology - and the principle of the creation of social networks The phenomenon of social networks History of social networking (type of Myspace, Facebook, Twitter) Resume and posibilities of social networks The risks of social networks Possibility of using social networking for marketing Possibilities of using data from social networks and further processing Social Engineering

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Skills training
Learning outcomes
The aim of the subject is to acquaint students with the concepts of social networks on the humanistic perspective (sociology, psychology) and also in terms of information technology as a phenomenon of today. During the semester, students learn about the opportunities that social networks provide (in marketing, etc..). Students will be informed of the risks associated with the using of social networks. The course will be devoted to the social engineering of the possibilities and how they can obtain data about the users of social networks. In the last part of the semester, students will be familiarized with the possibilities of modeling (or mining) of data from social networks and the possibilities for further work with these data. Working with this data will be done using basic statistical methods.
Students will be able to obtain data from social networks, analyze and model this data. Students also will be better able to work with social networks and use their potential.
Prerequisites
unspecified

Assessment methods and criteria
Home assignment evaluation, Student performance assessment, Systematic monitoring

Assignment: successful submission and defence of all given tasks. Detalied requirements for assignment and examination pass will be specified at the first lecture.
Recommended literature
  • Anderson, Ch. The Long Tail: Why the Future of Business is Selling Less of More. Hyperion, 2006, 2006. ISBN 978-1401302375.
  • Barabási, A. L. V pavučině sítí. Praha: Paseka, 2005. ISBN 80-7185-751-3.
  • Suriowiecky, J. The wisdom of Crowds. Anchor, 2005. ISBN 978-0385721707.
  • ZBIEJCZUK, Adam. WEB 2.0 - charakteristiky a služby. Diplomová práce. 2007.


Study plans that include the course