Welcome to the course Real-time analysis in environmental engineering!

Real-time optical sensors that can characterize and monitor different mediums and environments have revolutionized the way we can analyze environmental systems. Integration of such sensors can have great applicability in systems monitoring (e.g. to examine the growth of forests and agriculture production or monitor pollution in water or air), material characterization (e.g. determine important fuel properties and enable effective material sorting), or process control (aimed at e.g. reduced environmental impact of different type of industries such as energy, pharmaceutical, food, etc.). If you are curious to learn how to extract information from real-time sensors, applied to address real industrial and environmental challenges, this course is for you. You will learn how to extract and interpret complex information from real-time sensors using a variety of mathematical tools - making use of AI and machine learning algorithms. If you want to aid society in achieving sustainable development, knowledge about the real-time analysis can give you powerful analytical tools to help deal with the world´s largest environmental problems.

Course aim

The objective of the course is to provide in-depth knowledge and understanding of essential principles of selected state-of-the-art real-time analytical methods in environmental engineering. The knowledge is applied to the characterization of various substances and processes by optical sensors followed by analysis and interpretation of data using chemometric methods that include artificial intelligence (AI) and machine learning algorithms. The obtained models and results are then applied for the control and optimization of environmental and energy processes.

Course content

The course mainly addresses the following: state-of-the-art real-time analytical spectroscopic methods, chemometrics (data processing and interpretation) using artificial intelligence (AI) and machine learning algorithms, implementation of real-time analytical techniques for process and environmental monitoring, control, and optimization.

Sustainable development goals addressed

Course syllabus

Visit our webpage with the course syllabus to learn more about the objectives, learning outcomes, specific requirements, and examination.

Course developers

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