Getting known to AI Tools

This course gathers students from diverse fields and varying experiences, offering a comprehensive understanding
of artificial intelligence principles and applications, enabling them to adeptly navigate AI tools essential to their work.

Neurotechnologies in Automation

Course makes introduction to artificial neural network methods, to methods of learning, to implementation for object recognition with NeuroSolutions software. Based on neural networks sumulation software it helps to support virtual learning methods.
Learning Outcomes 1: Application of modern modeling approaches and methods and optimization for research and creation of effective automation systems for reducing waste generation, promoting circular economy practices, and supporting sustainable procurement policies on base of Neurotechnology.
Learning Outcomes 2: Analyses of production and technical systems in a certain industry activities as objects of automation and determine their strategy automation and digital transformation, in their transition to a circular economy involing designing of products for longevity, repairability, and recyclability with analyses, monitoring and prediction on base of Neurotechnology.

Data Mining Principles

This micro-credential course provides a comprehensive exploration of core principles and methodologies in data mining. Participants will delve into fundamental concepts such as data preprocessing, pattern recognition, clustering, classification, and association analysis. The curriculum covers various algorithms and techniques used for extracting valuable patterns and insights from large datasets. Through hands-on exercises and real-world applications, learners will gain practical experience in utilizing data mining tools and technologies to uncover hidden patterns, trends, and relationships within complex data sets. The course emphasizes the application of data mining principles across diverse domains, enabling participants to harness the power of data for informed decision-making and predictive analytics.