Welcome to NTNU in Ålesund and summerschool 2025

The water sector is under rapid transformation due to digitalization. The overall aim of this course is to introduce students to artificial intelligence in the water domain. Students will learn how to develop the codes of specific AI and ML algorithms in Python; and apply these to real-world problems in the water sector.

Admission fees

The course fee is 3.000 $.

Course content

The course will cover the following topics:

1. Supervised learning procedure

- how to create dataset

- how to label data

- how to make compact model using sensitivity analysis

1. Classification:

- Decision tree

- MLP

- SVM

- Random forest

- Deep learning approach (like CNN)

1. Prediction:

- Kalman filter

- Linear regression

- Extreme learning machine

- RNN, like LSTM

- Ensemble learning

Learning outcomes

• appreciate the major technological developments in machine learning and the relevance to water infrastructure.
• understand general and specific ideas, methodologies, and algorithms in machine learning engineering, including supervised learning, unsupervised learning, and various learning algorithms and their application for water infrastructure.
• understand how to apply machine learning techniques to solve modelling challenges for water infrastructure.

Learning methods and activities

Lectures, individual reading of selected articles, exercises and software laboratory sessions.

The Team

Razak Seidu is a full professor at the Norwegian Unviversity of Science and Technology, and the leader of the smart water laboratory. He has worked extensively in water related issues globally and is currently leading a project on the Digitalization of Water Systems in Norway. Prof. Seidu will be the main coordinator of the summer school.

Guoyuan Li is a professor at the Department of Ocean Operations and Civil Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). He earned his Ph.D. in computer science from the University of Hamburg, Germany, in 2013. Since 2014, he has been with NTNU’s Intelligent Systems Laboratory in Ålesund, Norway. Prof. Li has published over 150 papers on artificial intelligence, digitalization, dynamic system modeling and simulation, and optimization algorithms. He will be a key lecturer at the summer school.

Dr. Peihua Han is a senior researcher at NTNU, specializing in artificial intelligence (AI) and its applications in digitalization. His work aims to enhance efficiency, safety, and sustainability in the maritime sector by leveraging advanced AI techniques. With a strong background in machine learning, time-series modeling, and probabilistic modeling. Dr. Han is dedicated to developing intelligent systems that can analyze complex data, optimize decision-making, and drive innovation. Dr. Han will be one of the lecturers of the course.

Audience

Admission requirements

No mandatory prerequisites beyond the minimum requirements for admission to higher education in Norway. However, experience in the water sector may be an advantage.