- Onderwijspraktijk centraal bij vakdidactische ontwikkeling van studenten;

- afgestemd op de landelijke rekentoets;

- uitgebreide online ondersteuning.

Rekenen-wiskunde in de praktijk is een succesvolle serie vakdidactische studieboeken voor de pabo. De serie bestaat uit vier delen: onderbouw, bovenbouw, kerninzichten en verschillen in de klas. Centraal staat de vakdidactische ontwikkeling van de student, met als uitgangspunt de onderwijspraktijk.

Rekenen-wiskunde in de praktijk – bovenbou...

Rekenen-wiskunde in de praktijk is een succesvolle serie vakdidactische studieboeken voor de pabo. De serie bestaat uit vier delen: onderbouw, bovenbouw, kerninzichten en verschillen in de klas. Centraal staat de vakdidactische ontwikkeling van de student, met als uitgangspunt de onderwijspraktijk.

- Onderwijspraktijk centraal bij vakdidactische ontwikkeling van studenten;

- afgestemd op de landelijke rekentoets;

- uitgebreide online ondersteuning.

Rekenen-wiskunde in de praktijk – bovenbou...

Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. It keeps the material accessible and relevant to noncomputer science majors. With numerous color figures, this classroom-tested book focuses on both foundational computer science concepts and engineering topics.

It covers abstraction, algorithms, logic, graph th...

When faced with a ’human error’ problem, you may be tempted to ask 'Why didn’t these people watch out better?' Or, 'How can I get my people more engaged in safety?' You might think you can solve your safety problems by telling your people to be more careful, by reprimanding the miscreants, by issuing a new rule or procedure and demanding compliance. These are all expressions of 'The Bad Apple Theory' where you believe your system is basically safe if it were not for those few unreliable...

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition.

In particular, there ar...

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.