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Main Bibliography |
Russell Stuart & Norvig Peter, "Artificial Intelligence, A Modern Approach", Pearson Series in Artificial Intelligence, Pearson Education Inc., 2019.
Subana Shanmuganathan (Ed), "Artificial Neural Network Modelling", Studies in Computational Intelligence, Springer, 2016.
C Naga Bhaskar & G Vijay Kumar, "Neural Networks and Fuzzy Logic", BS Publications, 2015.
S. Rajasekaran & G.A. Vijayalakshmi Pai, "Neural Networks, Fuzzy Systems and Evolutionary Algorithms, Synthesis and Applications", PHI Learning, 2017.
Oliver Kramer, "Genetic Algorithm Essentials", Studies in Computational Intelligence, Springer, 2017.
Tao Song (Ed), Pan Zheng (Ed), Mou Ling Dennis Wong (Ed), "Bio-Inspired Computing Models and Algorithms", WSPC, 2019.
Maoguo Gong (Ed), Pan Linqiang (Ed), Song Tao (Ed), Ke Tang (Ed), Xingyi Zhang"Bio-Inspired Computing, Theories and Applications" 10th International Conference, BIC-TA 2015 Hefei, China, Proceedings, Springer, 2015.
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Teaching Methodologies and Assessment Criteria |
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 theoretical classes will cover the topics of the program and the student will have a ‘continuous evaluation’ (AC) where is considered the ‘assiduity’, the ‘punctuality’, the ‘participation’ and the ‘attitude’ of the student in the classroom, as well as by several short tests along of the teaching period.
The practical-laboratory classes (PL) are devoted to performing several experiments/tests and simulations in computer using software such as Matlab, Excel and others, as well as visits to the laboratory for robotics and automation to study the functioning of robots in healthcare, in bionics, and intelligent devices that give human beings an enhanced power.
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