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the sourcing of topics to the final defence Deploy the active learning formats of the College - BBL, PjBL, CBL - within the modules of the programs, in support of the Track Coordinators and of the teaching teams
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computer science. About the Group The Data Intelligence Group at UM6P-CC is a growing and supportive team with internationally recognized expertise in data management and machine learning. The group has a
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Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and
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growing and supportive team with internationally recognized expertise in data management and machine learning. The group has a strong network of national and international collaborators in both academia and
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the integrative and design projects of the preparatory and engineering cycles Design and deliver the modules concerned using active learning methods - BBL, project-based learning (PjBL) and challenge-based learning
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the experimental component of the integrative projects Design and deliver the modules concerned using active learning methods - BBL, project-based learning (PjBL) and challenge-based learning (CBL) - and lead design
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tutoring scheme in mathematics across the preparatory cycle Design and deliver the modules concerned using active learning methods - BBL, project-based learning (PjBL) and challenge-based learning (CBL
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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards
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of affiliation is retained. TEACHING ACTIVITIES Teach and coordinate the general microbiology, biochemistry and industrial microbiology modules, including laboratory sessions Teach and coordinate the bioprocess
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of affiliation is retained. TEACHING ACTIVITIES Teach and coordinate the computing and data modules of the curriculum: computer science fundamentals for engineers, algorithms and programming, numerical analysis