Programplaner og emneplaner - Student
ADSE1310 Internet of Things Emneplan
- Engelsk emnenavn
- Internet of Things
- Studieprogram
-
Bachelorstudium i anvendt datateknologiBachelorstudium i ingeniørfag - dataBachelorstudium i informasjonsteknologi
- Omfang
- 10.0 stp.
- Studieår
- 2023/2024
- Pensum
-
VÅR 2024
- Timeplan
- Programplan
- Emnehistorikk
-
Innledning
I dette emnet skal studentene få en forståelse av noen av de viktigste prinsippene i Internet of Things (IoT). IoT kan gjøre mulig enestående og nyskapende produkter og tjenester. Studentene skal bli kjent med arkitekturer og intelligente algoritmer som styrer tingenes internett og Pervasive Computing. Målet med kurset er å gi studentene en helhetlig forståelse av IoT: fra et teknisk synspunkt, i tillegg til å vurdere konsekvensene for samfunnet (f.eks. personvern, sikkerhet), når milliarder (eller trillioner) enheter kommunisere med hverandre i "skyen".
Anbefalte forkunnskaper
Bygger på datafaglige emner fra 1. semester.
Forkunnskapskrav
On completion of the course, the PhD candidate has achieved the following learning outcomes, defined in terms of knowledge, skills, and competence:
Knowledge
The PhD candidate:
- has an outstanding insight into the most relevant methodologies for user involvement in decision-making processes for identifying relevant research questions
- is at the forefront of knowledge about how to identify and verify evidence gap.
Skills
The PhD candidate can:
- identify, facilitate and use the most suitable methodology in which users/stakeholders suggest, discuss, prioritize and agree on research questions they consider important, in a given context/study
- identify, verify and document evidence gaps by systematically searching the existing evidence, that is, conducting literature searches and selecting relevant and high-quality articles
General competence
The PhD candidate can:
- utilize processes for user involvement, as well as identification and verification of evidence gaps, in order to identify relevant and unanswered research questions.
- facilitate Needs Led Research in close collaboration with the relevant field of practice
- develop project management and communication skills.
Læringsutbytte
Work and teaching methods consist of lectures, seminars, small group work and discussions, self-study, and practical exercises. In the seminars the students will present and discuss the status of their work and progress in plenary sessions.
Arbeids- og undervisningsformer
None
Arbeidskrav og obligatoriske aktiviteter
Individual home examination, to be submitted no more than two weeks after the end of the course. The candidates must submit an essay, which will describe the background and validation of the Needs Led Research questions to be answered. The essay, consisting of up to 5000 words, must describe the methodology and process for developing the Needs Led Research questions. This includes description of the process for user involvement, as well as the process for identification and verification of evidence gaps.
Vurdering og eksamen
All
Hjelpemidler ved eksamen
Pass / Fail
Vurderingsuttrykk
One internal examiner
Sensorordning
Admission requirements
This course is primarily aimed at PhD candidates admitted to the PhD Programme in Health Sciences but is also open to other applicants. Admission requirements are a completed hovedfag, master's degree (120 ECTS credits) or equivalent qualification.
The course can also be offered to students who have been admitted to the "Health Science Research Programme, 60 ECTS", by prior approval from the supervisor and based on given guidelines for the research programme.
Emneansvarlig
Way Kiat Bong