Educational guide School of Engineering |
english |
Computer Security Engineering and Artificial Intelligence (2016) |
Subjects |
PLANNING AND APPROXIMATE REASONING |
IDENTIFYING DATA | 2021_22 | |||||||||||||||||
Subject (*) | PLANNING AND APPROXIMATE REASONING | Code | 17685204 | |||||||||||||||
Study programme |
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Cycle | 2nd | |||||||||||||||
Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
6 | Optional | 1Q |
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Modality and teaching language | See working groups | |||||||||||||||||
Prerequisites | ||||||||||||||||||
Department | Computer Engineering and Mathematics |
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Coordinator |
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aida.valls@urv.cat hatem.abdellatif@urv.cat |
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Lecturers |
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Web | ||||||||||||||||||
General description and relevant information | Introduction to the planning techniques as problem solving tools. The main approaches to automatic planning will be presented. The student must be able to implement a planner and solve a case study. The second part is devoted to introduce the main concepts on approximate reasoning, focused on Fuzzy Logic. The use of fuzzy logic in rule-based systems will be presented. The student must be able to apply this methodology to a particular problem. If there are changes due to COVID-19, we will inform in Moodle | |||||||||||||||||
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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. |