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Educational guide | |||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2024_25 | |||||||||||||||||||||||||||||||||||||||
Subject | INTELLIGENT AND KNOWLEDGE-BASED SYSTEMS. | Code | 00715001 | |||||||||||||||||||||||||||||||||||||
Study programme |
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Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
7.5 | Compulsory | First | First |
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Language |
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Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | ING.ELECTR.DE SIST. Y AUTOMATI |
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Coordinador |
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igarr@unileon.es arods@unileon.es mgaro@unileon.es |
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Lecturers |
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Web | http://agora.unileon.es | |||||||||||||||||||||||||||||||||||||||
General description | ||||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
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Competencies |
Type A | Code | Competences Specific |
A13231 | ||
A13232 | ||
A13233 | ||
A13245 | ||
A13259 | ||
A13261 | ||
A13262 | ||
Type B | Code | Competences Transversal |
B3094 | ||
B3099 | ||
Type C | Code | Competences Nuclear |
C4 | ||
C5 |
Learning aims |
Competences | |||
C4 |
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B3099 |
C5 |
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A13231 |
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A13232 A13262 |
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A13233 |
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A13245 A13261 |
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A13259 |
B3094 |
Contents |
Topic | Sub-topic |
Module I: INTELLIGENT SYSTEMS | Topic 1: Uncertainty in Artificial Intelligence: types and representation techniques. Topic 2: Introduction to machine learning. Supervised and unsupervised learning. Topic 3: Probabilistic machine learning techniques for regression and classification problems. Topic 4: Fuzzy systems Topic 5: Machine learning techniques applied to fuzzy systems. Topic 6: Probabilistic graphical models. Topic 7: Advanced machine learning techniques. |
Module II: KNOWLEDGE-BASED SYSTEMS | Topic 1: Differences between reality, knowledge, and knowledge representation Topic 2: The construction of knowledge Topic 3: Implications of language in knowledge representation Topic 4: The problems posed by the automation of knowledge Topic 5: Advanced techniques on knowledge representation Topic 6: Reasoning Topic 7: Implications of mathematics and logic in the consistent construction of knowledge. Topic 8: New languages for the transmission of knowledge and its automation. |
Planning |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
PBL (Problem Based Learning) | 10 | 10 | 20 | ||||||
Problem solving, classroom exercises | 10 | 20 | 30 | ||||||
Presentations / expositions | 10 | 4.5 | 14.5 | ||||||
Practicals using information and communication technologies (ICTs) in computer rooms | 20 | 20 | 40 | ||||||
Personal tuition | 6 | 0 | 6 | ||||||
Debates | 8 | 0 | 8 | ||||||
Lecture | 20 | 40 | 60 | ||||||
Mixed tests | 9 | 0 | 9 | ||||||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Description | |
PBL (Problem Based Learning) | Problem formulation and discussion. The student will carry out practical cases that will allow them to acquire the skills of the course. |
Problem solving, classroom exercises | The teacher will pose and solve problems/exercises in the classroom that help understand the contents covered in the lectures. |
Presentations / expositions | The students will give presentations on topics related to the course content. |
Practicals using information and communication technologies (ICTs) in computer rooms | Practical implementation of the contents discussed in the lectures. |
Personal tuition | Time reserved for addressing and resolving students' questions. |
Debates | Activity where two or more groups defend opposing positions on a specific topic. |
Lecture | Presentation of the course content. |
Personalized attention |
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Assessment |
Description | Qualification | ||
Practicals using information and communication technologies (ICTs) in computer rooms | The completion of laboratory practices, behavior during these sessions, and the documents presented as a result of these sessions will be evaluated. |
45% | |
Mixed tests | The contents corresponding to the different methodologies (lectures, debates, practicals, problems, etc.) will be assessed through various mixed-type tests (short answer, multiple choice, essay, etc.) that will be distributed throughout the course. | Each test taken will have an equal weight in the calculation of the grade.45% | |
Others | Attendance and making the most of the work sessions will be positively valued. |
10% | |
Other comments and second call | |||
Sources of information |
Access to Recommended Bibliography in the Catalog ULE |
Basic |
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Complementary | |
Recommendations |