'Data presentation' diaporamas de présentation

Lesson Study with Japanese Curriculum Materials: A Randomized Controlled Trial

Lesson Study with Japanese Curriculum Materials: A Randomized Controlled Trial. Tsukuba, Japan, February 19, 2011 Catherine Lewis Mills College, Oakland, CA www.lessonresearch.net Clewis@mills.edu.

643 views • 46 slides

Topic defence: what material best prevent heat lost?

Topic defence: what material best prevent heat lost?. Castiglione 1. Mathew Ang Sean Braganza Lenard Cheng Lawrence Chu Ethan Cu Brian De Guzman. Paul Gue Dwight Ong Marc Ong Ryan Tan Mathew Yap. Significance Of The Study. - guides us on how we can prevent heat loss efficiently

488 views • 40 slides

Module 3: Data presentation & interpretation

Module 3: Data presentation & interpretation. Module 3: Learning Objectives. Understand different ways to best summarize data Choose the right table/graph for the right data Interpret data to consider the programmatic relevance . Summarizing data. Tables Simplest way to summarize data

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A Bucket Full of Numbers?

564 views • 27 slides

Promoting Shared Decision Making

Promoting Shared Decision Making. Jack Fowler Informed Medical Decisions Foundation. Shared decision making means. 1. Patients are told about all reasonable options 2. Patients are told about pros and cons of options 3. Patients share goals, concerns and preferences with providers .

434 views • 26 slides

December 11, 2013 @ 6:00 PM Middle School LMC Where are we? Where are we going?

December 11, 2013 @ 6:00 PM Middle School LMC Where are we? Where are we going? Paul reviews strategic planning process and purpose future meetings. (5) Data Based decision Making (5) Data presentation from Clark County (15) Data presentation from Steve ( 15)

325 views • 23 slides

MORE Science Fair TIPS

342 views • 22 slides

Map Generalization

Map Generalization. Introduction Concepts conventional cartography geographic information systems Developments conceptual models algorithms knowledge representation. Image Processing Division. Introduction. Data presentation display communication Data integration

1.24k views • 20 slides

Some common errors in presentations

Some common errors in presentations How not to impress your audience! As we have described in Chapter 9 on Presentations, the way information is presented is very important. The following slides will illustrate examples of poor practice in presentations and give brief tips for good practice.

544 views • 19 slides

Acute Stroke Ready Hospital (ASRH) Designation Site Visit Opening Presentation Template

Acute Stroke Ready Hospital (ASRH) Designation Site Visit Opening Presentation Template. Use this template to build your presentation for the opening conference of your ASRH designation site visit.

521 views • 18 slides

Charts and Graphs

Charts and Graphs. Chapter 2 MSIS 111 Prof. Nick Dedeke. Objectives. Understanding data presentation Discrete versus continuous data Differentiate between grouped and ungrouped data Construct frequency distributions Construct histogram, frequency polygon and other charts .

393 views • 16 slides

OS, MESSAGE PASSING & RUNTIME TOOLS

OS, MESSAGE PASSING & RUNTIME TOOLS. Parallel software promotion philosophy OpenSource - How rosy is the promise? MPI2 - What features? RTS - How far parallel do we need to go? How might OpenSource accelerate new tools? . Panel Comments by Mary Zosel ASCI PSE / ASDE LLNL

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Community Reef Survey and Monitoring Protocols

Community Reef Survey and Monitoring Protocols. January 26, 2011. Protocols. What to measure Who will monitor Site selection Sampling Transects Data recording Data keeping. What to monitor?. Fish communities (10 major families) Benthic communities Invertebrates (10 species).

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Introduction to Analytical Chemistry

Introduction to Analytical Chemistry. Dr Carl Hall X1/12 c.e.hall@hud.ac.uk. SFC1004 Analytical Science 1. Module Outline. 24 Lectures Tuesdays 11.15 - 12.15 Autumn Term - Carl Hall Spring Term - Richard Southam 24 Tutorials Tuesdays 12.15 - 1.15 6 four hour labs

705 views • 10 slides

GIS-Technology and Cartography:

Institute of Cartography ETH Zurich Switzerland M.Werner / B.Stern. Active and Self-Controlled Web Based Education in. GIS-Technology and Cartography:. The GITTA Project. http:// www.karto.ethz.ch e-mail: werner@karto.baug.ethz.ch.

375 views • 9 slides

Automated Weather Systems- The User Perspective

201 views • 9 slides

III. How the data is presented

III. How the data is presented. PCR score obtained (using a quadro -topo-algorithm and expression of the 51 genes: a score > 2 = NET) Disease index calculated (from the gene expression) Value plotted on a 2-d graph. Score identified on nomogram Nomogram score used in data presentation.

112 views • 2 slides

CSE 3 Projects of the Quarter By Victoria Licht

Computational thinking is coming up with a new solution to a problem. In CSE 3 we used computational Thinking to solve problems, design systems, and understanding the power and limits of human and machine intelligence.

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Adventures in Computational Thinking By Aurora Lopez

Adventures in Computational Thinking By Aurora Lopez CSE 3 Fluency with Information Technology (FIT ). Presentation of Information with MS PowerPoint. Computational Thinking . Visual Programming with Alice.

131 views • 1 slides

Adventures in Computational Thinking By: Christina Allameh

CSE 3 Fluency with Information Technology (FIT) . Adventures in Computational Thinking By: Christina Allameh. Data Analysis and Visualization with Excel. Visual Programming With Scratch. Overview.

189 views • 1 slides