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The following (1 -16) general learning outcomes apply to all programs of Master of Science in Engineering Technology (KU Leuven). These general learning outcomes are not subject of this approval.
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1.
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Advanced application-oriented knowledge, insight, and skills in the specialization with learning outcomes per specialization for specific details).
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2.
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Advanced application-oriented insight into advanced theories and methods for schematizing and modeling processes or systems and their application in solving problems within the specialization.
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3.
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Independently integrate and deepen previously acquired knowledge with a view to innovating practical implementation possibilities and knowing the limits of one's own competencies.
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4.
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Solution-oriented formulation and analysis of complex problems within the specialization, possibly reducing them to manageable sub-problems, and designing implementation-oriented solutions with attention to the concrete context.
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5.
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Independently conceive, plan, and execute an engineering project at the level of a beginning research professional. Conduct a literature review and critically interpret it according to scientific standards and from the perspective of application possibilities.
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6.
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Select, adapt, or develop advanced research, design, and solution methods based on acquired discipline-specific and interdisciplinary insight, apply them adequately, and scientifically process the results; argue the choices made based on applicationoriented insight and the requirements of the business context.
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7.
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Act from a research attitude: creativity, accuracy, critical reflection, curiosity, justify choices made based on solution-oriented arguments.
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8.
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Innovative and operational design of systems, products, services, and processes, interpolate and experiment in the business context.
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9.
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Manage system complexity using quantitative methods. Possess sufficient ready knowledge, insight, and experience with the practical environment to critically test results.
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10.
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Act within a mainly discipline-specific context from an engineering attitude: resultoriented, attention to planning and technical, economic, and social conditions such as sustainability, assessment of risks and feasibility of the proposed approach or solution, focus on results and achieving effective solutions, innovative thinking.
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11.
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Work project-based within a mainly discipline-specific context: formulate objectives, keep an eye on end goals and development trajectory, function as a member of an (inter- and multidisciplinary) team, take on a bridging role to the workplace, operate in an international or intercultural environment, report in a targeted manner.
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12.
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Possess business and economic insight to situate the contribution to a process or solution of a problem in the broader context.
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13.
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Weigh and convert specifications and conditions into a quality system, product, service, or process. Extract usable information from incomplete, contradictory, or redundant data.
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14.
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Communicate in writing and orally about one's own field in the language of instruction and the relevant language(s) for the specialization.
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15.
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Communicate and present linguistically and graphically about the field to peers and laypersons.
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16.
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Act ethically, professionally, and socially responsibly with attention to technical, economic, human, and sustainability aspects.
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In addition to the above family-DLR’s, the following learning outcomes apply to the program Master of Science in Imaging and Light in Extended Reality:
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17.
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Possess advanced, practice-oriented knowledge, insight, and skills in the field of immersive technologies (e.g. Virtual Reality (VR), Extended Reality (XR),…) and lighting technology, with awareness of ongoing developments in the field.
1 Understand and implement elementary and advanced techniques in digital rendering and computer vision technology.
2 Investigate and analyze mechanisms of human visual perception and related neural processes.
3 Analyze the optical properties of lighting using advanced measurement and analysis methods.
4 Design, conduct, and analyze user-centered experiments involving immersive systems and technologies.
5 Apply the knowledge acquired in the multidisciplinary learning domains in an integrated manner across the disciplines of imaging, lighting and immersive media.
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18.
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Be able to analyze, model, and develop solutions within immersive and interactive technology environments.
1 Design and implement integrated hardware and software systems for interactive applications.
2 Develop advanced lighting solutions using simulation and modeling tools.
3 Develop and implement machine learning systems for visual data interpretation and processing.
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