Sökning: "dator"
Visar resultat 6 - 10 av 1331 uppsatser innehållade ordet dator.
6. Ett sätt lära ut och hämta in kunskaper : Digitala verktyg som hjälpmedel i samhällskunskap
Uppsats för yrkesexamina på grundnivå, Malmö universitet/Malmö universitetsbibliotekSammanfattning : .... LÄS MER
7. Musikpedagogik i en digital utveckling : En undersökning om hur musiklärare förhåller sig till digitala verktyg för musikskapande samt hur digitala verktyg kan implementeras i musikundervisning
Uppsats för yrkesexamina på grundnivå, Kungl. Musikhögskolan/Institutionen för musik, pedagogik och samhälleSammanfattning : In today's digital age, students must develop technology skills for various purposes, including music-making. To this end, the Swedish school system has mandated that music teachers incorporate digital tools for music-making into the curriculum for primary students from 1st to 9th grade. LÄS MER
8. MONEY ON (THE) LINE : A Quantitative Study on the Effects of Different Types of Digital Government Services on Petty Corruption
Master-uppsats, Uppsala universitet/Statsvetenskapliga institutionenSammanfattning : Previous research indicates that improving digital government services may contribute to the reduction of corruption. This study seeks to deepen the knowledge of this suggested causal link in several ways. Firstly, it adds nuance by examining the effects of two distinct sub-types of digital government services on specifically petty corruption. LÄS MER
9. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. LÄS MER
10. Analyzing the performance of active learning strategies on machine learning problems
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. LÄS MER