This page provides an overview of Fadi Al Machot’s teaching portfolio, including current courses at the Norwegian University of Life Sciences (NMBU) in applied machine learning and deep learning, as well as past instruction in computer science, robotics, image processing, data mining, intelligent transportation, and related lab-based courses at the university of Klagenfurt.

Current NMBU Courses (since 2021):

• DAT200 Applied Machine Learning

• DAT300 Applied Deep Learning

Previous Courses

• INF221 Computer Science for Data Scientists

• Autonomous Systems

• Robotics Fundamentals

• Fundamentals of Image Processing

• Practical Introduction to Neural Networks and Deep Learning

• Data Mining and Neurocomputing

• Machine Vision in Intelligent Transportation

• Mobile Applications with Androids

• GIS (Geographic Information Systems) - Expert Systems in Transportation

• Data Mining in Intelligent Transportation and Logistics

• Data, Network and Web Technology: Tools and Automation

• Seminar on Data Mining and Pattern Recognition in Intelligent Vehicle Technologies

• Seminar Neuro- und Bioinformatics "Machine Learning"

• Lab on Machine Vision

• Lab on Machine Learning and Applications in Intelligent Vehicles

• Lab on Robotics Fundamentals