. "Artificial Intelligence"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Machine learning"@en . . "4" . "The course is a mixture of lectures, workshops, and a practical project.The lectures will focus on introducing the fundamental concepts of machine learning whereas the workshops will interactively demonstrate these concepts. The students will also undertake a practical project to deepen their understanding and gain hands-on experience. This project will have space-related objectives and the realization will be team-based.\n\nOutcome:\n– Learn the foundations of machine learning;- Learn the foundations of evolutionary computation;- Learn the foundations of deep learning and artificial neural networks;- Familiarize with applications of machine learning in space-related problems." . . "Presential"@en . "TRUE" . . "Master in Interdisciplinary Space Master"@en . . "https://www.uni.lu/fstm-en/study-programs/interdisciplinary-space-master/" . "120"^^ . "Presential"@en . "The Interdisciplinary Space Master (ISM) of the University of Luxembourg is developed with the Luxembourg Space Agency (LSA). It offers a starting point for a new global space industry, to create, shape, and sustain space enterprises.\nThe ISM provides students with an understanding of Space project management, space policy, ethics, and laws, entrepreneurship, legal aspects of creating intellectual property and finance and managing innovation.\n\nOutcome:\nGraduates can thus create, shape, and sustain leading commercial space enterprises and play an important role in the economy of the future.\n\nGraduates are prepared for a variety of professional functions requiring skills in:\r\n1. Systems and space systems engineering, technology development, and application\r\n2. Space mission analysis, spacecraft design, and data processing\r\n3. Big data analytics, machine learning, artificial intelligence\r\n4. Software and/or hardware programming tools (robotics, STK, etc.)\r\n5. Space application systems and the corresponding observation methods\r\n6. Translation of scientific space objectives into mission requirements used to advise system engineers\r\n7. Processing, analysis, and interpretation of space-derived data (sometimes big data) using machine learning and artificial intelligence for a variety of space applications\r\n8. Design of observation and navigation systems for a particular purpose\r\n9. Quality control and assessment of the reliability of space data"@en . . . . . . . . . "2"@en . "FALSE" . . "Master"@en . "Thesis" . "4000.00" . "no data"@en . "Not informative" . "None" . "Career opportunities for ISM graduates include jobs in technical or administrative areas throughout the space sector. They may also become engineers or consultants. With their technical knowledge and business expertise they are also prepared to join start-up and proof-of-concept projects.\r\n\r\nFurther study through a doctoral programme is possible."@en . "no data" . "TRUE" . "Upstream"@en . . . . . . . . . . . . . . . . . . . . . . . . .