| Competences |
| Type A | Code | Competences Specific |
| T9 | Apply computational, mathematical, statistical and artificial intelligence methods in order to model, design and develop applications, services, smart systems and knowledge-based systems. | |
| Type B | Code | Competences Transversal |
| B3 | Treballar de forma autònoma amb responsabilitat i iniciativa. | |
| Type C | Code | Competences Nuclear |
| C1 | Have an intermediate mastery of a foreign language, preferably English | |
| C3 | Be able to manage information and knowledge |
| Learning outcomes |
| Type A | Code | Learning outcomes |
| T9 |
Understand the practical significance of the efficient representation and acquisition of knowledge within Artificial Intelligence. Are familiar with and understand the historical evolution of the mechanisms of management and representation of knowledge. Are familiar with the practical use of some modern tools for knowledge engineering. | |
| Type B | Code | Learning outcomes |
| B3 |
Decide how to manage and organize work and the time required to carry out a task on the basis of an initial schedule. Present results in the appropriate way in accordance with the bibliography provided and before the deadline. | |
| Type C | Code | Learning outcomes |
| C1 |
Take notes during a class. | |
| C3 |
Critically evaluate information and its sources, and add it to their own knowledge base and system of values. |
| Contents |
| Topic | Sub-topic |
| 1. Introduction and Concepts | Data, Information and Knowledge; Knowledge Types and Uses; Knowledge Representation; Knowledge Engineering; Syntax and Semantics |
| 2. Knowledge Representation | First order logic; Rules and production systems; Object-Oriented Representations; Network Representation; Ontologies |
| 3. Knowledge Engineering | Knowledge Life-Cycle; Knowledge Audit; Knowledge Acquisition; Detailed Case-Study |
| Planning |
| Methodologies :: Tests | ||||||||||
| Competences | (*) Class hours |
Hours outside the classroom |
(**) Total hours | |||||||
| Introductory activities |
|
1 | 0 | 1 | ||||||
| Lecture |
|
26 | 15 | 41 | ||||||
| Problem solving, exercises |
|
30 | 36 | 66 | ||||||
| Assignments |
|
0 | 15 | 15 | ||||||
| Personal tuition |
|
0 | 15 | 15 | ||||||
| Practical tests |
|
3 | 9 | 12 | ||||||
| (*) On e-learning, hours of virtual attendance of the teacher. (**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||||||||
| Methodologies |
| Description | |
| Introductory activities | Course presentation: contents, calendar of activities, evaluation, bibliography, ... |
| Lecture | Regular lectures in which the contents of the subject is explained. |
| Problem solving, exercises | Practical classes in which the professor and the students will solve problems. |
| Assignments | Off-class hours that the student will use for recommended readings and practical works. |
| Personal tuition | Personalized attention to solve student doubts. Out of class hours. |
| Personalized attention |
| Description |
| The lecturer provides six outclass hours per week to attend individual and group doubts. |
| Assessment |
| Methodologies | Competences | Description | Weight | ||||
| Problem solving, exercises |
|
A set of exercises that the student will have to solve out of class hours individually or in group. | 40% | ||||
| Practical tests |
|
Three exams (of 1 to 2 hours long) that the students will have to solve individually in class hours. | 60% | ||||
| Others |
| Other comments and second exam session | |||
|
If the student does not pass the first call, a second call will be available as a single exam. |
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| Sources of information |
| Basic |
Brachman, Ronald J; Levesque, Hector J., Knowledge Representation and Reasoning, 2004, Morgan Kaufmann |
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| Complementary | |||||||||
| Recommendations |
| Subjects that continue the syllabus | |||
|
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(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.