Understanding weather: A visual approach By Julian Mayes and Karel Hughes Arnold Publishers, 2004 xiv + 188 pp. ISBN 0 340 806117

Weather ◽  
2005 ◽  
Vol 60 (5) ◽  
pp. 138-139
Author(s):  
Maurice Crewe
Keyword(s):  
Visual Approach

A Visual Approach to Helping Instructors Integrate, Document, and Refine Active Learning

2016 ◽  
Vol 045 (05) ◽  
Author(s):  
Regina Frey ◽  
Beth Fisher ◽  
Erin Solomon ◽  
Denise Leonard ◽  
Jacinta Mutambuki ◽  
...  
Keyword(s):  
Active Learning ◽  
Visual Approach

The method of sweeping tangents

2008 ◽  
Vol 92 (525) ◽  
pp. 396-417 ◽  
Author(s):  
Tom M. Apostol ◽  
Mamikon A. Mnatsakanian
Keyword(s):  
Integral Calculus ◽  
Visual Approach

What is the area of the shaded region between the tyre tracks of a moving bicycle such as that depicted in Figure 1 ? If the tracks are specified, and equations for them are known, the area can be calculated using integral calculus. Surprisingly, the area can be obtained more easily without calculus, regardless of the bike’s path, using a dynamic visual approach called the method of sweeping tangents that does not require equations for the curves.

The design tree: a visual approach to top-down design and data flow

1989 ◽  
Vol 21 (1) ◽  
pp. 17-21 ◽  
Author(s):  
Jacobo Carrasquel ◽  
Jim Roberts ◽  
John Pane
Keyword(s):  
Data Flow ◽  
Top Down ◽  
Visual Approach

The Syllabus Reconstructed: An Analysis of Traditional and Visual Syllabi for Information Retention and Inclusiveness

2021 ◽  
Vol 49 (2) ◽  
pp. 173-183
Author(s):  
Jerrod H. Yarosh
Keyword(s):  
Nontraditional Students ◽  
Critical Evaluation ◽  
Information Retention ◽  
Analytic Procedure ◽  
Lower Division ◽  
Visual Approach ◽  
Course Material

The current research examines whether a visual syllabus aids in information retention compared to a traditional text-based syllabus. The data derive from two lower-division sociology classes, each having a different syllabus format. Utilizing a syllabus quiz during the first week of the class provides the data about whether syllabus format matters. The data suggest the visual syllabus class retained more information given that students exposed to the visual approach scored significantly higher on a quiz than the traditional syllabus class. The current research presents an overview of why visuals may help in information retention with emphasis on the importance of inclusive course material and nontraditional students; an explanation of the data, methods, and analytic procedure followed by the findings; as well as a critical evaluation of and points to consider when creating a visual syllabus.

VISUAL APPROACH TO SUPERVISED VARIABLE SELECTION BY SELF-ORGANIZING MAP

2005 ◽  
Vol 15 (01n02) ◽  
pp. 101-110 ◽  
Author(s):  
TIMO SIMILÄ ◽  
SAMPSA LAINE
Keyword(s):  
Variable Selection ◽  
The Self ◽  
Data Sets ◽  
Self Organizing Map ◽  
Robust Method ◽  
Relevant Variables ◽  
Visual Approach ◽  
Predefined Criterion ◽  
Target Data ◽  
Self Organizing

Practical data analysis often encounters data sets with both relevant and useless variables. Supervised variable selection is the task of selecting the relevant variables based on some predefined criterion. We propose a robust method for this task. The user manually selects a set of target variables and trains a Self-Organizing Map with these data. This sets a criterion to variable selection and is an illustrative description of the user's problem, even for multivariate target data. The user also defines another set of variables that are potentially related to the problem. Our method returns a subset of these variables, which best corresponds to the description provided by the Self-Organizing Map and, thus, agrees with the user's understanding about the problem. The method is conceptually simple and, based on experiments, allows an accessible approach to supervised variable selection.

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