Making makers

Make: Best Toys for Makers

✍ Babler, Jason 📂 Library 📅 2014;1997 🏛 Maker Media, Inc. 🌐 English

How injection molding is done -- A young industry -- What is plastic -- Identifying types of plastic -- Design considerations -- Materials needed -- Material list -- Tools and construction methods -- Building the frame -- The injector assembly -- The adjustable work table -- The heater block assembl

Make: Best Toys for Makers

📁 Make: Best Toys for Makers

✍ Babler, Jason 📂 Library 📅 2014;1997 🏛 Maker Media, Inc. 🌐 English

How injection molding is done -- A young industry -- What is plastic -- Identifying types of plastic -- Design considerations -- Materials needed -- Material list -- Tools and construction methods -- Building the frame -- The injector assembly -- The adjustable work table -- The heater block assembl

Making, Makers, Makerspaces: The Shift t

📁 Making, Makers, Makerspaces: The Shift to Making in 20 Schools

✍ Janette Hughes (editor) 📂 Library 📅 2022 🏛 Springer 🌐 English

This book is about makers and makerspaces in education. It furnishes and analyzes case studies from sixty teachers working in twenty different school districts in Ontario, Canada. Each author provides research and analyzes data about the process of establishing makerspaces and implementing

Maker Pro: Essays on Making a Living as

📁 Maker Pro: Essays on Making a Living as a Maker

✍ John Baichtal (ed.) 📂 Library 📅 2014 🏛 Maker Media 🌐 English

Maker Pro is a book of essays by more than a dozen prominent and up-and-coming professional makers (Maker Pros). Each essay includes advice and stories on topics such as starting a kit-making business, taking a hardware project open-source, and plenty of encouragement to "quit your day job

Decision Making with Imperfect Decision

📁 Decision Making with Imperfect Decision Makers

✍ Alan Carlin, Shlomo Zilberstein (auth.), Tatiana Valentine Guy, Miroslav Kárný, 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prev

Decision Making with Imperfect Decision

📁 Decision Making with Imperfect Decision Makers

✍ Alan Carlin, Shlomo Zilberstein (auth.), Tatiana Valentine Guy, Miroslav Kárný, 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prev

✦ Synopsis