Book Description:
Beginning with a brief history of the Internet, this book delves into a review of current research, active learning strategies, Web courseware, metacognition, strategies for Web discussions, promoting student self-regulation, building interactive Web pages, basic HTML coding, managing Web sites, using databases, automated testing, and security and legal issues.
Book Link:

http://dwb.unl.edu/Book/Contentsw.html

Book Abstract:
Cover 3178 KB 4 PS PDF
Foreword 106 KB 2 PS PDF
ToC 120 KB 4 PS PDF
Preface 127 KB 4 PS PDF
Chapter 1 1174 KB 12 PS PDF
Chapter 2 249 KB 20 PS PDF
Chapter 3 265 KB 22 PS PDF
Chapter 4 3054 KB 100 PS PDF
Chapter 5 119 KB 4 PS PDF
Chapter 6 156 KB 10 PS PDF
Index 183 KB 10 PS PDF
Back 98 KB 1 PS PDF
ADR 7794 KB 193 PS PDF

Book Link:

http://www.apacheref.com/download.html

The interfacing of analytical instrumentation to small computers for the purpose of on-line data acquisition has now become almost standard practice in the modern chemistry laboratory. Using widely-available, low-cost microcomputers and off-the-shelf add-in components, it is now easier than ever to acquire large amounts of data quickly in digital form.In what ways is on-line digital data acquisition superior to the old methods such as the chart recorder? Some of the advantages are obvious, such as archival storage and retrieval of data and post-run replotting with adjustable scale expansion.
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This book is a must-read for DSP designers who want to tap the power of the Virtex™-4 XtremeDSP™ Slice. It provides a detailed description of the multiple features of the slice as well as providing multiple examples that show you how to harness the power and flexibility of this powerful IP block. Tap into the XtremeDSP Slice and reap the rewards of highest performance.
Book Link:

http://www.xilinx.com/publications/books/dsp/index.htm/

In the last decade Go has been an important part of my life. As a student in Delft I became fascinated by the question why, unlike Chess, computers played this game so poorly. This fascination stimulated me to pursue computer Go as a hobby and I was fortunate to share my interests with some fellow students with
whom I also founded a small Go club. In the final years of my study applied physics I joined the pattern recognition group where I performed research on non-linear feature extraction with artificial neural networks. After finishing my M.Sc. thesis I decided to pursue a Ph.D. in the fields of pattern recognition,machine learning, and artificial intelligence.
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