It is intended that, with this course, students acquire basic skills for performing and interpreting relevant statistical tests in the health sciences. It is also intended that students acquire area specific vocabulary and the skills to understand scientific literature and write statistical reports. The course's learning outcomes:
1. Know the relevant statistical methods in health sciences.
2. Select and apply the appropriate statistical procedures to the research goals.
3. Develop skills in data analysis software.
4. Acquire skills in interpreting the results.
5. Conduct studies where statistical procedures are applied.
The Bioinformatics in Health Sciences course aims at presenting and providing practical training in the application of computational methodologies to the organization, analyses and comprehension of data generated in biological and health sciences research. By the end of the course the students will be able to identify situations where Bioinformatics is useful in the resolution of a specific problem and skilfully chose and implement the appropriate computational technique.
The course aims to prepare researchers for the appropriate use of animals in scientific experiments. This two-week theoretical and practical course will, in general terms, cover the biology and husbandry of laboratory animals, aspects of microbiology and disease, health hazards and safe practices in the animal house, the design and conduct of animal experiments, anaesthesia, analgesia and experimental procedures, as well as the ethical and legal aspects of animal experimentation and alternatives to animal use.
This course aims to provide basic knowledge and practical skills in infection immunology. With this objective as a basis, students work as a team in the presentation and discussion of scientific articles and bibliographic research works that are discussed together with the teachers. In this way, it promotes teamwork, facilitating the integration of acquired knowledge with the need to investigate and communicate science.