Round Corner
Department of Computer and Information Science

Masteroppgaver 2019

Marker valg for å avgrense hvilke oppgaver som skal vises.

Hovedprofil / Studieretning

Datateknologi (542)

Informatikk (347)

Helseinformatikk (15)

Information Systems (70)

Datateknologi (542)

Faglærere (30)

Sorter etter:

Oppgaveforslag (4)

A plausible way to understand simple correlations in Norwegian texts

Sticos are developing a bot called @else ( to help Human Resources (HR) departments be more efficient in their work. A lot of their time is consumed by reoccurring questions from their employees and managers. For years HR software have tried to tackle this problem by using a personnel manual. However, the use of it is sparse. The problem lies in accessibility and the fact that is easier to ask the question directly and get a qualified answer to your problem on the fly.

Faglærer: Rune Sætre     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

DNB sin Chatbot (MVP) på facebook messenger.

DNB sin Chatbot (MVP) på facebook messenger og fremtidige chatbots i nett- og mobilbank vil ha 2 moduser. Chatten vil først behandles av en robot, men kunden vil også få valget om å chatte videre med en rådgiver.
I denne oppgaven er det interessant å finne ut:
1. Hvor gode er våre modeller på å finne intent og gi et riktig svar til kunden?
2. I hvilken grad aksepterer kunder svaret som gis av roboten?

Faglærer: Rune Sætre     Status: Tildelt     Egnet for: En student     Lenke: plink

LANGUAGE TECHNOLOGY: ChatBots - Dialog interfaces - Text / Phone

It is now possible to ask natural language queries over Internet, by SMS or by voice over telephone about various tasks, e.g bus routes or telephone information. You can try yourself by calling 7352 1290.

Faglærer: Rune Sætre     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

Systemizing, merging and visualizing data from multiple air emergency operations

Norsk Luftambulanse AS has multiple helicopter bases throughout Norway and Denmark. For each mission a lot of data is generated. This information consists of mission-specific data like response time of the crew and who is partaking as well as patient-related data throughout the journey from pickup to delivery. This data can be structured, visualized and made sense of in a better way.

Faglærer: Rune Sætre     Status: Tildelt     Egnet for: Gruppe     Lenke: plink
NTNU logo