. "Space informatics 2"@en . . "3" . "The course will feature two parallel tracks: “System Programming” and “Software Testing andStandards”.The track “System Programming” will cover:• From low-level programming languages to high-level programming languages and back• Basic features of the C programming language• Advanced features of the C programming language• Elements of the C standard library• Build process• System interfacesThe track “Software Testing and Standards” will cover:• Specification-based testing• Structural testing• Designing for testability• Test-driven development• ECSS standards• Documenting the testing process according to ECSS standards\n\nOutcome:\nAfter completing the course, the students will be able to demonstrate knowledge and understanding of: • System programming using the C language• Fundamental software testing approaches used in industry• Software standards applied by ESA" . . "Presential"@en . "TRUE" . . "Information Theory"@en . . . . . . . . . . . . . . . . "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 . . . . . . . . . . . . . . . . . . . . . . . . .