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Competences to work with digital transformation and apply state-of-the-art technologies in a business context

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Competences to work with digital transformation and apply state-of-the-art technologies in a business context

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Is employability linked to specific courses, or more linked to the employers knowing that students are generally held to a high standard (by insisting that courses etc. should "be difficult")? I would claim that if we have topics that are attractive to students, we will get many students. If we hold those students to a high standard, they will be employable.

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Is employability linked to specific courses, or more linked to the employers knowing that students are generally held to a high standard (by insisting that courses etc. should "be difficult")? I would claim that if we have topics that are attractive to students, we will get many students. If we hold those students to a high standard, they will be employable.

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What is the difference between this Master and the Cand. IT?

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What is the difference between this Master and the Cand. IT?

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Give this BSc a clear profile compared to Electronics and IT, to Robotic, to various CS BSc.

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Give this BSc a clear profile compared to Electronics and IT, to Robotic, to various CS BSc.

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Get inspiration for various courses and topics by looking at the portfolio offered by competing universities. Having the "coolest" looking curriculum will attract more students in general.

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Get inspiration for various courses and topics by looking at the portfolio offered by competing universities. Having the "coolest" looking curriculum will attract more students in general.

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"boring" topics such as legal requirments/restrictions, already established standards/policy/methodology frameworks (for example the security frameworks created by NIST)

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"boring" topics such as legal requirments/restrictions, already established standards/policy/methodology frameworks (for example the security frameworks created by NIST)

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optimisation theory - either here or on the bachelor.

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optimisation theory - either here or on the bachelor.

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How to design and implement systems that have real time requirements. Both on embedded platforms and "non-embedded" systems.

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How to design and implement systems that have real time requirements. Both on embedded platforms and "non-embedded" systems.

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applications of machine learning to f.eks. affective computing - themes in machine learning and artificial intelligence targeting specific behavioral or psychophysiological phenomena

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applications of machine learning to f.eks. affective computing - themes in machine learning and artificial intelligence targeting specific behavioral or psychophysiological phenomena

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data driven approach that does not require advanced Statistical knowledge

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Ikke for meget at vælge imellem
Strømlinet .. KLAR profil. Hvad bliver du når du bliver stor.

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Students are expected to come from comp.eng. so we can expect a high interest/focus on software

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The possibility to choose elective course from Mathematics and other fields. For example, bayesian statistics and information theory

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The possibility to choose elective course from Mathematics and other fields. For example, bayesian statistics and information theory

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Mandatory course on applied ML, and an elective course on theoretical ML.

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Mandatory course on applied ML, and an elective course on theoretical ML.

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Students are interested in the relevance of the education in terms of SDG goals

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Students are interested in the relevance of the education in terms of SDG goals

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Interdisciplinarity is important. With DCLead is is important that we also have courses with managerial content

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Interdisciplinarity is important. With DCLead is is important that we also have courses with managerial content

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We could reverse the learning by first letting students play with tools and then learn some theory afterwards.

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Impressions from teaching at SW in CPH - students would like to work on IoT (do not have that opportunity at SW education)

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Impressions from teaching at SW in CPH - students would like to work on IoT (do not have that opportunity at SW education)

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Machine learning på forståelses- og anvendelsesniveau. Ikke super dybt!
Data- opsamling og håndtering

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Have more courses not shared with other educations

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Have more courses not shared with other educations

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Critical thinking with respect  to the connection between technology and society

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Critical thinking with respect  to the connection between technology and society

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Increased focus on ML - very sought after by bch students

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Applied Machine learning/Machine learning engineering
Optimisation
Data Engineering

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Being able to work in a cross disciplinary environment  

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Being able to work in a cross disciplinary environment  

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In between electronics and software from CS

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In between electronics and software from CS

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A differing factor could be software for hardware.

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En B.Sc skal kunne mere end "bare" se/forstå en del af det elektroniske system. Helheden, helikopterperspektivet, lidt op i abstraktionsniveau.

Skal evne at se problemstillinger "fra oven", for derefter at kunne nedbryder i delsystemer/problemer, og forstå detaljen i disse.

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Employers want students who have a broad base within digital systems

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Employers want students who have a broad base within digital systems

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More software is attractive, they are all gamers

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More software is attractive, they are all gamers

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We need to align with the existing software education as it is very popular and attracts a lot of students.