The course introduces students to a variety of digital research methods that have been developed to date and have been documented to contribute to the production of acceptable research results. The first eleven lectures group individual research tools around corresponding basic research methodological approaches. These include data analytics, online interviews, data collection and processing, digital ethnography, digital visual methods, information collection and processing, geospatial analysis, methods for mobile devices and smartphones, the analytics of human behavior, the analytics of social networks and games, and finally online experiments, questionnaires and observation. The presentation of research tools is not exhaustive, on the contrary it attempts to demonstrate the suitability of each method per case and the complementarity of the tools per approach. The last two presentations introduce and analyze the concept of the algorithm as a key element of the use of artificial intelligence applications to achieve research goals. The discussion focuses on the management of the ethical and fair treatment of research issues and objects when research results are produced using artificial intelligence applications. Finally, the issue of limits on the autonomous decision-making capacity, that a bounded or unbounded system of artificial intelligence applications can undertake, is raised.