SylabUZ
| Course name | Social networks and multi-agent systems |
| Course ID | 11.3-WE-INFD-SNaM-AS-Er |
| Faculty | Faculty of Engineering and Technical Sciences |
| Field of study | WIEiA - oferta ERASMUS / Informatics |
| Education profile | - |
| Level of studies | Second-cycle Erasmus programme |
| Beginning semester | winter term 2018/2019 |
| Semester | 2 |
| ECTS credits to win | 6 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Lecture | 30 | 2 | - | - | Exam |
| Laboratory | 15 | 1 | - | - | Credit with grade |
| Project | 15 | 1 | - | - | Credit with grade |
To introduce students to modern software engineering approaches that utilize agent-based technology. To outline new Internet technologies, including social media and to explain how social networks can be employed for Big Data analytics. To characterize modern techniques and solutions for performing analytics on large sub sets of data.
Java programming.
Intelligent agents and multi-agent systems. Architecture and design of intelligent agents. Coordination mechanisms for multi-agent systems. Engineering of autonomic and complex software systems using agent-based technology. Social networks. Properties of social networks. The role and application of social networking in e-business. Mechanisms for managing and monitoring social systems. Big Data and social media analysis. Phenomenon of Big Data. Application of Big Data within the context of e-business. Tools and technologies for performing analytics on large scale.
Lecture, laboratory exercises, project.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture – the passing condition is to obtain positive mark from the exam.
Laboratory – the passing condition is to obtain positive marks from all laboratory exercises to be planned within the laboratory schedule.
Project – the passing condition is to obtain positive mark from the project.
1. Wooldridge M.: Multi-agent systems (second edition), MIT Press, 2013
2. Watts J. D.: Six degress: the science of a connected age, W.W. Norton & Company, 2003
3. White T.: Hadoop: The Definite Guide (third edition), O'Reilly Media, 2012
4. Owen S., Anil R., Dunning T., Fridman E.: Mahout in action, Manning Publications, 2011
Modified by dr inż. Jacek Bieganowski (last modification: 23-04-2018 09:10)
