Type of course: | Compulsory |
Language of instruction: | Romanian |
Erasmus Language of instruction: | English |
Name of lecturer: | Maria Viorela Muntean |
Seminar tutor: | Maria Viorela Muntean |
Form of education | Full-time |
Form of instruction: | Class |
Number of teaching hours per semester: | 56 |
Number of teaching hours per week: | 4 |
Semester: | Autumn |
Form of receiving a credit for a course: | Grade |
Number of ECTS credits allocated | 6 |
Introduction. Ai definitions. Short hystory of ai. Ai components Problem solving. Solving problems by searching. Uninformed search strategies. Informed (heuristic) search strategies Other problem solving strategies. Constraint satisfaction problems. Adversarial search (games) Knowledge representation Knowledge representation by rules Structured knowledge Uncertain knowledge and reasoning (fuzzy) Planning and learning in AI systems Artificial neural networks (ANN) foundations ANNs applications Expert Systems foundations Intelligent agents and robots.
The use of methodologies, specification mechanisms and development environments for the development of computer applications. The identification and explanation of base computer models that are suitable for the application domain. The use of computer and mathematical models and tools to solve specific problems in the application field. The identification of appropriate models and methods for solving real-life problems.