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LabAutomation 2006 - SLAS

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Where Laboratory Technologies Emerge and Merge<br />

Sunday, January 22, <strong>2006</strong><br />

Electronic Laboratory Notebooks Smoketree D<br />

Simon Coles, Amphora Research Palm Springs Convention Center<br />

John Trigg, phaseFour Informatics<br />

Who Should Attend<br />

This course is intended for anyone seeking a comprehensive introduction to electronic laboratory notebooks, including scientists, engineers,<br />

lab managers, project managers, and IT specialists. A general understanding of laboratory operations is helpful.<br />

How You’ll Benefit From This Course<br />

• Understand the traditional roles and functions of laboratory notebooks<br />

• Understand the reasons why paper notebooks are becoming obsolete<br />

• Develop an appreciation for the nature of data flow in an automated laboratory<br />

• Apprehend the critical importance of metadata, and the unique ability of ELN to handle metadata<br />

• Become familiar with the concepts of knowledge management<br />

• Understand the legal and regulatory issues addressed by ELN technology<br />

• Learn about the current ELN market and the new capacities of next-generation ELN<br />

Getting Started With Excel and VBA in the Laboratory Mesquite G<br />

Erik Rubin Palm Springs Convention Center<br />

William Neil<br />

Who Should Attend<br />

This short course is for bench scientists, laboratory managers, and students who want to get more out of Microsoft Excel through the<br />

use of Visual Basic for Applications (VBA). The course material is targeted at beginners and no prior experience with VBA is assumed.<br />

A practical knowledge of the use of Excel® is required and familiarity with a procedural programming language such as C, Pascal,<br />

Fortran, or BASIC is advantageous.<br />

How You’ll Benefit From This Course<br />

• Learn the fundamentals of the VBA core language<br />

• Be introduced to the interaction between VBA and common Excel objects such as Workbooks, Worksheets, and Cells<br />

• Explore the use of Excel and VBA programming to address basic laboratory automation challenges<br />

Introduction to Design of Experiments (DOE) Pueblo A<br />

Maneesha Altekar, Hercules, Inc. Wyndham Palm Springs Hotel<br />

Paul Taylor, Boehringer Ingelheim Pharmaceuticals, Inc.<br />

Who Should Attend<br />

This course is for any scientists involved in experimental work, in particular, assay and instrumentation performance optimizations. A<br />

general understanding of basic statistical concepts such as mean, variance and the normal distribution is helpful. Typical attendees<br />

include scientists, engineers, and students.<br />

How You’ll Benefit From This Course<br />

• Understand the principles of statistically designed experiments<br />

• Become aware of where DOE can be applied<br />

• Learn how DOE can make the experimental process more efficient<br />

• Appreciate the importance of carefully planning and executing your experiment<br />

• Learn about the different designs available for achieving specific objectives<br />

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