None.

At the end of the course students will: 1. Understand the need to locate and use reliable sources and the importance of research based on digital information resources. 2. Know the main sources of information, both general and specialised in their discipline, identifying and selecting the most appropriate for each task. 3. Identify information needs and develop effective strategies to locate the appropriate sources. 4. Determine the reliability and quality of information and sources. 5. Retrieve information using accurate and effective searches. 6. Take into consideration the ethical use of information and avoid plagiarism applying academic and deontological regulations and conventions. 7. Use generative Artificial Intelligence tools in their field.

K1: To know the principles and values of democracy and sustainable development, in particular, respect for human rights and fundamental rights, gender equality and non-discrimination, the principles of universal accessibility and climate change. S1: To know of basic humanistic contents, oral and written expression, following ethical principles and completing a multidisciplinary training profile.

UNIT 1. IDENTIFY RELIABLE INFORMATION IN DIGITAL ENVIRONMENTS - Information overload and disinformation. - Information in Digital Society: risks and challenges. - Critical, thoughtful and proactive use of digital information. - Information sources: identification, selection and evaluation. - New spaces for knowledge interaction. Social media as scientific information resources. UNITS 2-3. RETRIEVAL AND ORGANIZATION OF INFORMATION - Principles and strategies for efficient information retrieval in the digital environment. Knowledge and use of the main gateways and collections of general and specialized digital information sources. - Ethical use of information and intellectual property regulations. Avoiding plagiarism in scientific and academic works. UNITS 4-5. CREATION OF BIBLIOGRAPHIC REFERENCES - Create and manage in-text citations and references in academic works. - Organise references in academic papers and assignments. - Similarity detection services to prevent plagiarism. UNITS 6-9. GENERATIVE ARTIFICIAL INTELLIGENCE - Foundations of generative AI. - Innovative applications of generative AI. - Technical challenges and future developments in AI research. - Ethical principles of generative AI. Consent. Privacy. Information self-determination. - Responsibility and authorship. Legislation, regulation and control.

SPECIFIC REQUIREMENTS Students must bring their own computer equipment to class. LEARNING ACTIVITIES - Acquisition of knowledge through theoretical classes with teaching materials prepared by the teacher, online tutorials and readings. Related to theoretical competences. - Acquisition of skills and abilities through practical cases of information search, analysis and evaluation of sources, and presentation and citation of results. Related to practical competences. - General or specific tutorials established in Aula Global.