It is strongly advised to have completed Mathematics, Programming, Physics, Fundamentals of Biology and Biochemistry.

The main goal of the course is to acquire capabilities for modeling common biological systems using mathematical physical and computational tools. The student will be able to apply these tools for extracting quantitative information in order to understand different type of systems. Finally the student will acquire capabilities for evaluating and be objective with the results obtained from those analyses and models.

K8. To understand the fundamental principles of molecular, cellular, structural and biochemical biology and their applications in regenerative medicine and tissue engineering. S1. To plan and organize team work making the right decisions based on available information and gathering data in digital environments. S3. To analyze and synthesize basic problems related to bioengineering and biomedical sciences, solving them with initiative, appropriate decision making and creativity and communicating solutions efficiently, including social, ethical, health and safety, environmental, economic and industrial implications. S5. To analyse scientific and technical information for decision-making in the field of biomedical engineering by keeping abreast of new developments S6. To solve mathematical, physical, chemical, biological and biochemistry problems that may arise in biomedical engineering, knowing how to interpret the results obtained and reach informed conclusions. S8. Solve problems characteristic of biology, medicine, physics and chemistry, implementing numerical algorithms in modern programming languages using information obtained from databases S9. To handle bioinformatics techniques, programming languages and environments, and basic concepts of artificial intelligence for the development and application of data analysis tools in biomedicine and for the resolution of complex problems in biology and medicine. C3. Be able to transmit knowledge both orally and in writing, to a specialised and non-specialised audience, working in multidisciplinary and international teams.

Study of the structure of simple organic molecules through examples with biological relevance. Introduction to structural biology and biophysics, description and application of models related to the biological components that participate in cellular processes. Rationalisation and use of computational resources for the study and modelling of molecular systems related to the biological problems discussed in the previous points. Quantitative modelling of biological systems: study of data related to biological systems, description and modelling of the structure and dynamics of biological components, study of interactions between molecular systems involved in biological processes, study of networks of biological and biochemical interactions contained in free access databases.

LEARNING ACTIVITIES: FACE-TO-FACE CLASSES: REDUCED (WORKSHOPS, SEMINARS, CASE STUDIES) LABORATORY SESSION STUDENT INDIVIDUAL WORK METHODOLOGY: PRACTICAL LEARNING BASED ON CASES AND PROBLEMS, AND EXERCISE RESOLUTION INDIVIDUAL AND GROUP OR COOPERATIVE WORK WITH THE OPTION OF ORAL OR WRITTEN PRESENTATION INDIVIDUAL AND GROUP TUTORIALS TO RESOLVE DOUBTS AND QUERIES ABOUT THE SUBJECT.