IoT og dataanalyse (DA)
2017/2018- Indhold og læringsmål
Companies in all sizes are these years being pushed to
make a Digital Transformation of their business – some
sources even states, that companies failing to do it will
simply cease to exist in the future.
Internet of Things (IoT) is one of the new technologies
that companies uses to make a digital transformation of
and in some industries IoT will simple disrupt the current
business models. In this elective you will get solid
understanding of IoT and insight to what it can be used
to. You will be introduced to different IoT Development
Suites for both IoT devices and back-end systems. This
will include programming on different levels, e.g. will
Python be introduced, but higher level programming will
be used as well.
Data Analytics is another tool for companies in driving
their Digital Transformation and have already been used
for many years by many companies. IoT will drive this
further and in this elective we will look into how to
combine IoT and Data Analytics. Data Analytics in
various forms will be in focus in this elective.
Learning goals made simple – a summary
The course will give the student deeper knowledge about both IoT and Data Analytics.
The student will learn about different IoT development suites and systems, and be able to participate in or lead an IoT project in a future job position.
The student will obtain knowledge about how IoT and Data Analytics can be combined for optimisation or creating new business models. - Undervisningsform
A mix of theory and practice. There will be lectures followed by case exercises, which will involve cooperation with KEA’s external partners.
A special emphasis will be put on hands-on experience with programming, IoT Development Suites and Data Analytics tools.
We will work together with many external partners, have guest speakers and do some company visits to explore some of the current ongoing work in this field out there.
The elective will be based on hands out and different literature.
NOTE!
During the elective there will be two mandatory group case hand-ins. Each of these includes a small report and a class presentation. The two cases will be evaluated and has to be approved before the group/student can take the final elective exam. - Forudsætninger for at deltage i
faget
Materielle forudsætninger for at deltage i faget
Vi antager, at studerende har en bærbar computer, der kører Windows 10 (eller senere) eller Mac OS X 10.12 (eller senere).
Ældre versioner af Windows eller Mac OS og Linux kan muligvis virke i de fleste tilfælde - men understøttes ikke med hjælp til at installere open source-værktøjer eller håndtere undervisningseksempler.
Vi antager, at eleverne har en HDMI-port eller miniDVI / lynport på deres bærbare computer.
I nogle få læringssituationer (ikke i 1. semester) bruges eksempler, der ikke så godt virker med mindre end 4 GB RAM-hukommelse - for dette 8 GB RAM anbefales.
Studerende vil have brug for kontorsoftware (Microsoft, Apple, Google eller ..).
Studerende skal kunne producere og læse pdf-dokumenter, Word-dokumenter, PowerPoint-præsentationer og Excel-regneark.
Der findes en Microsoft Cloud-version, der bliver tilgængelig, når du opretter en gratis endrevskonto.
En internetbrowser skal være tilgængelig (dvs. Chrome eller Safari).
Vi anbefaler stærkt eleverne at have adgang til Facebook og en privat Facebook-konto. - Prøve
Læringsmålene for prøven er identiske med fagets/fagenes læringsmål
Faget prøvesFaget/modulet prøves selvstændigtPrøveformSkriftlig prøveIndividuel eller gruppeprøveGruppeprøve, 2-4 maks. deltagereAnvendt sprog til prøvenEngelskBedømmelsesform7-trins skalaBedømmer(e)Intern censur
På faget IoT og dataanalyse (DA) modtager du 77 timers undervisning, hvilket svarer til 102 lektioner (1 lektion = 45 min.) og 19% af din samlede arbejdsbelastning på faget.
Undervisningen vil primært bestå af følgende aktiviteter: klasseundervisning.
Forberedelsen vil primært bestå af følgende aktiviteter: projektarbejde.
Læs om KEAs studieaktivitetsmodel
*KEA kan fravige det angivne timetal, hvis det er begrundet i særlige forhold.