Sökning: "Learning in projects"
Visar resultat 1 - 5 av 522 uppsatser innehållade orden Learning in projects.
1. Cross project Just-In-Time bug detection
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : Software is present in almost all aspects of our lives, and with more parts of life beingdriven by code, the importance of limiting bugs is critical. Studies have shown that thelonger a bug is present in a system increases the complexity of finding and handlingthe bug. LÄS MER
2. Using artificial intelligence to improvetime estimation for project management
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : Time estimation is an important aspect in project management. Failure to make accurateestimates can lead to large consequences. Despite this, humans tend to make fairly inaccurateestimates when tasked to, often underestimating the time something will take substantially. LÄS MER
3. Teaching pronunciation effectively in an EFL classroom; a literature review
Uppsats för yrkesexamina på avancerad nivå, Malmö universitet/Institutionen för kultur, språk och medier (KSM)Sammanfattning : This study provides a literature review of the most effective ways to teach pronunciation to EFL secondary school students in Sweden. There is limited time allocated to pronunciation leading to a scarcity of available effective methods. This impacts the important role which intelligibility holds in pronunciation. LÄS MER
4. Risky Business: Quantitative Risk Assessments as Enabling Devices in Cybersecurity
Magister-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : Quantitative risk assessment (QRA) is a growing practice in the cybersecurity field. This paper examines QRA the use in various industries and the problems with its use. The focus of the qualitative research is to understand why cybersecurity organizations might want to use QRA even if it produces untrue and potentially problematic results. LÄS MER
5. Risk analysis of implementing Machine Learning in construction projects
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Machine Learning has significantly influenced development across domains by leveraging incoming and existing data. However, despite its advancements, criticism persists regarding its failure to adequately address real-world problems, with the construction domain being an example. LÄS MER