This course equips computing students and researchers with the knowledge and skills to transform research output into publishable papers. It covers research writing, journal/conference selection, ethical publishing practices, peer review process, and strategies for increasing research impact in the field of computing.
This course is mainly exploration, hypothesis testing and estimation techniques with network data are possible, but require specific statistical tools. This course will focus on relationships among social entities; examples include communication or opinion formation among members of a group, economic transactions between corporations, and diffusion of viruses in the population. Moreover, it will have a practical focus and introduce students to a range of basic and more advanced SNA techniques. Mapping and exploring the network society, the course will continue apply (descriptive and inferential) statistical tools to network data. Students will also learn how to manipulate and analyze large samples of networks.
Intelligent Information Systems (IIS) are next generation information systems developed as a result of technologies integration from Business Intelligence and Artificial Intelligence. It introduces the latest techniques in artificial and computational intelligence that can be used to facilitate decision-making processes; and use Knowledge Management as a fundamental tool to support decision making processes ensure inclusive and equitable quality education and promote life-long learning opportunities for all.