To study and look to the human being in a technological prospective, referring the movement pattern recognition, the project and control of artificial limbs, the computer based control, the nervous systems and memory, the orthopedic and tissue engineering, the implants and ethical aspects.
Apply the knowledge about control and electronics to bionic systems.
Understand the human movement patterns, in order to design systems which repeat it.
Know the different type of materials with application in bionics.
Know the different type of drives with application in bionics.
Understand the design of artificial limbs.
Understand and apply different control methods.
Interpret experimental results.
Use systems simulation software.
Know and apply the principles of ethics and bioethics.
Work individually and within a team.
Develop autonomy and leadership abilities.
Know how to read and write scientific works.
- Introduction to Bionics: scientific concept and popular concept.
- The human being in a technological perspective.
- Our stone age body inserted into the current modern civilization.
- Techniques for conceiving artificial human sensory and motor systems.
- Pattern recognition of the movement in view of their reproduction.
- Artificial limbs. Robotics arms, legs, hands, knees. Orthopedic engineering.
- Human tissues replacement.
- Materials in bionic systems. Biomaterials.
- Implants for artificial hearing (bionic ear) and artificial vision (bionic eye).
- Various bionic organs: heart, lung, kidney, pancreas, liver, uterus and others.
- Artificial blood.
- Technologies for sensory system design.
- Bioinspired systems.
- Smart clothing and wearable, wireless sensors.
- Artificial Neural Networks (ANN). Fuzzy control.
- Ethical aspects. Bioethics.
“Pattern Recognition and Machine Learning (Information Science and Statistics)”, Christopher M. Bishop, Springer, 1st Ed., 2007.
“Building a Digital Human (Graphics Series)”, Ken Brilliant, Charles River Media, 1st Ed., 2003.
“Control Theory for Humans: Quantitative Approaches To Modeling Performance”, Richard J. Jagacinski, John M. Flach, CRC, 1st Ed., 2002.
“Artificial Intelligence, A Modern Approach”, Stewart Russell & Peter Norvig, 2nd Ed, Pearson Education Inc., 2003.
“Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering”, MIT Press, Nikola K. Kasabov, Cambridge, MA, USA, Hardcover, Oct 1996.
“Biomechanics and Motor Control of Human Movement”, David A. Winter, Wiley, 4th Ed, 2009.
“The Human Nervous System: Structure and Function”, Charles R. Noback (Editor), David A. Ruggiero, Robert J. Demarest, Norman L. Strominger (Editors), Humana Press, 6th Ed., 2005.
“Biomedical Ethics”, Thomas Mappes, David DeGrazia, McGraw-Hill, 6th Ed., 2005.
Teaching Methodologies and Assessment Criteria
The theoretical classes will cover the topics of the program and the student will be evaluated by several short tests along of the teaching period, and that will constitute the ‘continuous evaluation’ (CE) of the student.
Every student has to prepare during the semester, under the supervision of the lecturer of the discipline, a work/small project (PR) and make a PowerPoint presentation in class to the other students attending the discipline.
The practical-laboratory classes (PL) are devoted to performing several experiments/tests and simulations in computer using software such as Matlab, Excel and others.