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.

K2: Understands and applies the most appropriate mathematical, statistical and computational tools within Neuroscience, appropriately using spreadsheets for data management, and appropriate graphical representations for data presentation. S1: Uses a variety of techniques to find, manage, integrate and critically evaluate available information for the development of professional activities in Neuroscience, especially in the digital sphere S2: Carries out their work or vocation in a professional manner, and possess appropriate competencies as demonstrated through the development and defence of arguments, and problem-solving within their field of study. S3: Prepares reports to effectively communicate project knowledge, objectives and results to specialised and non-specialised audiences S5: Appropriately uses the scientific and technical vocabulary of the different subfields within Neuroscience. S7: Comprehends the computational and experimental tools used for analysis and quantification of neuroscience data, and can appropriately apply these tools to significant problems in neuroscience. C2: Apply knowledge about the organisation, structure and function of the Central Nervous System (CNS) to contribute to the evolution and improvement of technologies and systems for computing, data handling and analysis. C3: Apply knowledge about technologies for the study of the Nervous System and the brain (Medical Imaging, brain-machine interfaces) to develop new systems for diagnosis and treatment, as well as and other applications within Neuroscience (Artificial Intelligence, Robotics) with the aims of improving the quality of life and furthering social progress. C4: Uses advanced mathematical, statistical and computational tools to increase and improve knowledge in neuroscience and its applications. C5: Apply your neuroscience knowledge in a unifying and integrated fashion as part of a multidisciplinary team (pharmaceutical sector, health industry, diagnostic techniques, health information technologies, government agencies and regulatory bodies. C6: Apply the results of your comprehensive training to your everyday professional activities, combining Neuroscience knowledge with a solid foundation of ethical responsibility and respect for fundamental rights, diversity and democratic values. C7: Apply the scientific and technical principles you acquired during your undergraduate training, together with your own natural learning capabilities, to better adapt to novel opportunities arising from scientific and technological development.

UNIT 1. 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. - Tools for the organization of information and management of references. UNIT 2. ETHICAL USE OF INFORMATION - Ethical use of information and intellectual property regulations. - Avoiding plagiarism in scientific and academic works. - Create and manage in-text citations and references in academic works. - Organise references in academic papers and assignments. - Similarity detection services to prevent plagiarism.

Teaching is online (synchronous). THE LAST THREE CLASSES ARE FACE-TO-FACE in Leganés 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. Days and times of tutorials will be available in Aula Global.