Course: Artificial Intelligence credits: 5

In this module the basic concepts and techniques of Artificial Intelligence(AI) and Machine Learning are treated and applied to a smart system. 

Professional products  

• Software for a Smart System – The applications and algorithms that enable intelligent functionality, data processing, decision-making, and communication within a smart system. It typically includes embedded software, control software, and communication protocols to facilitate real-time operations, automation, and system integration. In this module: AI and machine learning software 
• Recommendations –  Suggestions or advice provided based on analysis or experience, aimed at improving a situation, process, or outcome. They offer solutions or guidelines for taking future steps. In this module: AI and machine learning generated recommendations 

Skills   

• AI software design – The process of developing software systems that incorporate artificial intelligence techniques—such as machine learning, data analysis, and decision-making algorithms—to enable intelligent behaviour, learning from data, and adaptation to changing environments. It involves designing models, data pipelines, and interfaces that integrate seamlessly with applications. 
• Information and recommendation generation – The process of analyzing and combining data—often through embedded software, data fusion, and AI algorithms—to produce meaningful insights or actionable suggestions. This enables systems to support decision-making, personalize responses, or automate actions based on real-time sensor input and learned patterns. 

Knowledge   

• Machine learning techniques – Methods that enable computers to learn from data and improve their performance over time without being explicitly programmed. These techniques include supervised learning, unsupervised learning, reinforcement learning, and deep learning, each suited for different types of tasks like prediction, classification, clustering, and decision-making.