ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 99 Hours of tutorials: 3 Expository Class: 24 Interactive Classroom: 24 Total: 150
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Center Higher Technical Engineering School
Call:
Teaching: Sin docencia (Extinguida)
Enrolment: No Matriculable
Obtain basic knowledge about Artificial Intelligence: its evolution, types of problems it addresses and techniques to solve them, social, economic, ethical and employment repercussions...
Lectures:
T1: Historical perspective of AI.
Strategies for AI problem solving
T2: State space search and metaheuristics
T3: Knowledge-based
T4: Connectionist systems
Machine learning
T5: Linear and logistic regression
T6: Supervised learning
T7: Unsupervised learning
T8: Repercussions of AI: socioeconomic, ethical...
Interactive classes:
CI1: Interactive seminars on various applications, both in operation and in research.
CI2: Oral communication seminar
CI3: Discussions on topics related to the social, economic, ethical... impact of AI.
Writing competition on particularly topical issues in AI -optional-.
Practicals:
P1: Metaheuristics
P2: Knowledge-based systems
P3: Machine learning
1. J. Palma, R. Marín (eds.). Inteligencia Artificial. Métodos, técnicas y aplicaciones. McGrawHill. (2008). ISBN: 9788448156183
2. Fernández Galán, S., González Boticario, J., Mira Mira, J. Problemas Resueltos de Inteligencia Artificial Aplicada. Búsqueda y Representación. Addison Wesley. (1998). ISBN: 9788478290178
3. Russell, S., Norvig, P. Inteligencia Artificial (Un Enfoque Moderno), Segunda ed. Prentice-Hall International. (2004). ISBN: 9789688806821
4. Nilsson, N.J. Inteligencia artificial (Una nueva síntesis). McGraw-Hill. (2001). ISBN: 9788448128241
5. Gendreau, Michel, Potvin, Jean-Yves. Handbook of Metaheuristics. Springer-Verlag. (2010). ISBN: 978-1-4419-1665-5
6. Ian Goodfellow, Yoshua Bengio and Aaron Courville, “Deep Learning”, An MIT Press book, 2016
7. Simon O. Haykin, "Neural Networks and Learning Machines", Prentice Hall, 3rd edition, 2008. ISBN 0131471392
Contribute to achieve the competences included in the memory of the Degree in Computer Engineering of the USC (CG4, CG8, CG9, TR1-3, RI6-7, RI15, TI1), especially:
CX4- Ability to select the most appropriate CE technique for the development of applications or services.
CX8- Ability to develop new methods or technologies using CE
CX9- Ability to analyze and solve problems applying CE with initiative, autonomy and creativity.
TR1- Capacity of analysis and synthesis. Capacity for organization and planning. Problem solving. Decision making.
TR2- Critical reasoning.
TR3. Systemic: Autonomous learning. Creativity.
RI6-7- Knowledge and application of the algorithmic procedures of CE to design solutions to problems, using efficiently the most appropriate data structures.
RI15- Practical application of intelligent systems based on explicitly formalized knowledge.
TI1- Ability to understand the needs of an organization in the field of CE.
The subject contributes to achieve the competences related to the module "Intelligent Systems", also detailed in the memory of the Degree, especially those referred to:
CMSI4- Know, understand and handle problem solving techniques based on a knowledge representation.
CMSI5- Know, understand and know how to apply knowledge-based systems design methodologies.
The didactic methodology will be based on individual work -although sometimes in groups-, discussion with the teacher in class and individual tutorials.
For each topic or thematic block of the expository classes, the teacher will prepare the contents, explain the objectives of the topic to the students in class, suggest bibliography, provide them with additional work material, etc. In the expository classes the competences CX4, CX9, TR1, RI15, TI1, CMSI4-5 will be worked on. In addition, the professors will propose to the students a set of activities to be carried out, individually or in groups (works, presentations, readings, practices...) The students will generally have to present them to the professor for their evaluation, for which the deadlines for delivery/presentation will be indicated through the channels used for student-professor communication. These activities will allow the development of the competences CX4, CX8, CX9, TR1-3, RI15, CMSI4-5.
The practices and part of the interactive sessions will be developed in the Computer Room of the School, using different software tools for each of the thematic blocks. The realization of the practices will allow to develop the competences CX4, CX8, TR1-3, RI6-7, RI15, CMSI4-5.
Students will work individually or in small groups, with the constant support of the teacher. There will be scripts of practices, seminars and other activities to be carried out individually or in small groups.
The teaching will be supported by the virtual USC platform as follows: repository of documentation related to the subject (texts, presentations, recommended readings...) and virtual tutoring of students (e-mail, forums).
Subject included in the subject "G4012328 Artificial Intelligence" mandatory of the first semester of the Degree in Computer Science study plan (2nd edition). For all purposes the student must follow the provisions of the teaching programming of the subject.
Classroom work time: 58 total hours, divided into 15h (lectures), 35h (seminars and practicals), 3h (tutorials) and 5h (controls).
Personal work time: 92h (total), divided into 62h (independent study of theory and practices) and 30h (assignments, projects and other activities).
It is recommended that the students solve, implement, verify and validate all the proposed exercises and practices (not only the evaluable ones). It is also considered important to make an intense use of tutorials for the resolution of doubts.
The Virtual Campus of the USC will be used as a tool to support the learning process in the following aspects: repository of materials (transparencies, exercises, complementary texts...), delivery and commented evaluation of compulsory works and virtual tutoring (e-mail and forums).
Subject included in the subject "G4012328 Artificial Intelligence" mandatory of the first semester of the Degree in Computer Science study plan (2nd edition). For all purposes the student must follow the provisions of the teaching programming of the subject.
Alberto Jose Bugarin Diz
- Department
- Electronics and Computing
- Area
- Computer Science and Artificial Intelligence
- Phone
- 881816440
- alberto.bugarin.diz [at] usc.es
- Category
- Professor: University Professor
Senén Barro Ameneiro
- Department
- Electronics and Computing
- Area
- Computer Science and Artificial Intelligence
- Phone
- 881816469
- senen.barro [at] usc.es
- Category
- Professor: University Professor