| Statuss(Neaktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Course title | Artificial Intelligence |
| Course code | DatZ3005 |
| Credit points (ECTS) | 3 |
| Total Hours in Course | 81 |
| Number of hours for lectures | 16 |
| Number of hours for seminars and practical classes | 16 |
| Independent study hours | 49 |
| Date of course confirmation | 19/10/2011 |
| Responsible Unit | Institute of Computer Systems and Data Science |
| Course developers | |
| Mg. sc. ing., Oļesja Ļegostajeva |
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| There is no prerequisite knowledge required for this course | |
| Course abstract | |
| This course provides basic knowledge on fundamental objects of artificial intelligence (search and knowledge representation) and skills of solving complex problems, using such methods of artificial intelligence as construction of a state space, uninformed search algorithms, heuristically informed search algorithms, and knowledge representation schemes. The main attention is paid to the construction of a state space of a problem and searching of a solution using search algorithms, representation of knowledge about a problem using semantics networks, conceptual graphs, scripts and frames. | |
| Learning outcomes and their assessment | |
| • Knowledge about definitions of artificial intelligence, application forms of artificial intelligence, describing of problem and the search of solution.
• Skills to create a state space for real world problems and to evaluate its complexity; implement search algorithms. • Competence working in teams or independently, define the problem and search the solution of the problem, using different types of artificial intelligence methods and algorithms, arguing their own point of view. |
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| Compulsory reading | |
| 1. Moskvins G. Intelektuālās sistēmas un tehnoloģijas: mācību līdzeklis studiju priekšmetam "Intelektuālās sistēmas un tehnoloģijas". Jelgava : LLU, 2008. 136 lpp.
2. Staab S., Rudi S. Handbook on ontologies [elektronisks resurss]. 2nd ed. Berlin; Heidelberg: Springer, 2009. 3. Rivža P., Arhipova I. Ievads ekspertu sistēmās : lekciju konspekts LLU studentiem. Jelgava : LLU, 1995. 87 lpp. |
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| Further reading | |
| 1. Russell S.J. Искусственный интеллект : современный подход. 2-е изд. Москва [и др.] : Вильямс, 2007. 1407 c. 2. Mākslīgais intelekts. [tiešsaite], [skatīts 2011.g. 6. nov.]. Pieejams: www.intelligence.lv | |