Manufacturing Execution Systems Operator

The course covers the fundamental concepts, history, and applications of artificial intelligence. It introduces core AI methods such as knowledge representation, inference mechanisms, expert systems, fuzzy logic, genetic algorithms, and multi-agent systems. Machine learning paradigms (supervised, unsupervised, and reinforcement learning), data preprocessing, model selection, training, and evaluation are examined through practical examples. Students explore the design and application of AI solutions across various industries.

The aim of this course is to provide students with an understanding of the concepts, principles, and applications of Artificial Intelligence (AI) and Machine Learning (ML). Students gain fundamental knowledge and skills in data-driven decision making, developing learning systems, and applying AI techniques to industrial and scientific problems.