InTASC Model Core Teaching Standards

InTASC Model Core Teaching Standards
Author: The Council of Chief State School Officers
Publisher:
Total Pages: 26
Release: 2011-05-31
Genre:
ISBN: 9781461133575

These new model core teaching standards outline what all teachers across all content and grade levels should know and be able to do to be effective in today's learning contexts. They are a revision of the 1992 model standards, in response to the need for a new vision of teaching to meet the needs of next generation learners. This document incorporates changes from a public feedback period in July 2010.

Exploring Zynq Mpsoc

Exploring Zynq Mpsoc
Author: Louise H Crockett
Publisher:
Total Pages: 642
Release: 2019-04-11
Genre:
ISBN: 9780992978754

This book introduces the Zynq MPSoC (Multi-Processor System-on-Chip), an embedded device from Xilinx. The Zynq MPSoC combines a sophisticated processing system that includes ARM Cortex-A53 applications and ARM Cortex-R5 real-time processors, with FPGA programmable logic. As well as guiding the reader through the architecture of the device, design tools and methods are also covered in detail: both the conventional hardware/software co-design approach, and the newer software-defined methodology using Xilinx's SDx development environment. Featured aspects of Zynq MPSoC design include hardware and software development, multiprocessing, safety, security and platform management, and system booting. There are also special features on PYNQ, the Python-based framework for Zynq devices, and machine learning applications. This book should serve as a useful guide for those working with Zynq MPSoC, and equally as a reference for technical managers wishing to gain familiarity with the device and its associated design methodologies.

Applied Linear Statistical Models

Applied Linear Statistical Models
Author: Michael H. Kutner
Publisher: McGraw-Hill/Irwin
Total Pages: 1396
Release: 2005
Genre: Mathematics
ISBN: 9780072386882

Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.