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Utilizing a 5-Stage Learning Model for Planning and Teaching Online Courses: Emerging Research and Opportunities
When the internet became a viable instructional delivery medium, online learning began to rapidly expand. Shortly thereafter, the need for online teaching approaches promptly …
Spatial Modeling in Natural Sciences and Engineering
The author introduces the reader to the creation and implementation of space-related models by applying a learning-by-doing and problem-oriented approach. The required procedural …
Decision Support Systems for Modeling, Forecasting and Risk Estimation
User Guidance in Business Process Modelling
Geostatistical Reservoir Modeling
Published in 2002, the first edition of Geostatistical Reservoir Modeling brought the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, …
Mathematical model of temperature field and carrying of gas pipeline
Maillage, Model Geomtrq Sim Numerique 2
Logics and Models of Concurrent Systems
The cooperation test [Apt, Francez & de Roever] was originally conceived to capture the proof theoretical analogue of distributed message exchange between disjoint processes, as …
Handbook of Research on Online Pedagogical Models for Mathematics Teacher Education
Online learning has become an important vehicle for teacher and student learning. When well designed, online environments can be very powerful in a way that is consistent with the …
New Model of Tertiary Educational Institution in Postwar Sierra Leone
This book discusses and makes critical analysis of some of the main differences between the model of tertiary education that IAMTECH offers to her clients and the rest of the other …
Mathematical Modelling
Mathematical modelling modules feature in most university undergraduate mathematics courses. As one of the fastest growing areas of the curriculum it represents the current trend …
Composing Fisher Kernels from Deep Neural Models
This book shows machine learning enthusiasts and practitioners how to get the best of both worlds by deriving Fisher kernels from deep learning models.