Buscar

Material complementar 17102022pdf Portugues

Prévia do material em texto

MATERIAL COMPLEMENTAR 
 
Gestão de Projetos 17/10/2022 
 
 
SUGESTÃO DE LEITURA: 
 
Material disponível na Biblioteca Pecege (Acessar Tutorial Bibliotecas) 
 
• Fávero, L. P. L. 2017. Manual de análise de dados: estatística e modelagem 
multivariada com Excel, SPSS e Stata. 
 
Artigos e Livros: 
 
• Curlee, W.; Gordon, R. L. 2011. Complexity theory and project management. 
John Wiley & Sons, Inc. 
• Damnjanovic, I.; Reinschmidt, K. 2019. Data analytics for engineering and 
construction project risk management. Springer. 
• Fávero, L. P. L.; Belfiore, P. 2019. Data Science for Business and Decision 
Making. Academic Press. 
• McNulty, K. 2021. Handbook of Regression Modeling in People Analytics: With 
Examples in R and Python. CRC Press. 
• Singh, H. 2015. Project management analytics: a data-driven approach to 
making rational and effective project Decisions. Pearson FT Press. 
• Spalek, S. 2021. Data analytics in project management. Auerbach Publications. 
• Varanini, F.; Ginevri, W. 2019. Projects and complexity. Auerbach Publications. 
 
Materiais disponíveis na internet: 
 
• Fávero, L. P. L. 2019. Machine Learning e modelos supervisionados: o uso 
correto do GLM na tomada de decisão. Link 
• Ginevri, W.; Guerini, M. 2013. Big data new tools for mitigating project 
complexity. Link 
Prof. Luiz Paulo Lopes Fávero 
M
au
ric
io 
Sa
nt
os
 D
ias
 60
5.1
98
.93
3-
10
https://itforum.com.br/coluna/machine-learning-e-modelos-supervisionados-o-uso-correto-do-glm-na-tomada-de-decisao/
https://www.pmi.org/learning/library/data-tools-mitigating-project-complexity-5826

Continue navegando