MCCCD Official Course Competencies:

CAD210  1996 Fall – 2012 Fall

Charts, Graphs, and Diagrams

1.

Explain the role of data visualization in the design process. (I)

2.

Explain the differences among charts, graphs, and diagrams. (II, III, V)

3.

Describe the advantages of both popular and technical charting methods for data presentation. (I, II, III, V)

4.

Select, design, and draw a graph or diagram for popular presentation, using the CAD system. (II-V)

5.

Select, design, and draw a chart, graph, or diagram for technical presentation, using the CAD system. (II, III, IV, VI)

MCCCD Official Course Outline:

CAD210  1996 Fall – 2012 Fall

Charts, Graphs, and Diagrams

I. Data visualization

A. Raw data

1. Qualitative vs. quantitative data

2. Mathematical generation of data

a. Independent variables

b. Dependent variables

3. Empirical data

B. Relating graphical presentation to human perception for analysis and synthesis

II. Common uses for graphical presentation

A. Presenting experimental data

B. Representing natural phenomena

C. Analog solutions to equations

D. Establishing equations from empirical data

III. Charts, graphs, and diagrams

A. Charts

1. Any form of graphical representation including graphs and diagrams

2. Mapping data

B. Graphs data plotted on a grid (scaled)

C. Diagrams data plotted without a grid (no scale)

IV. Rectangular coordinate line graphs

A. Types of RCLG's

1. Mathematical

2. Time-series

3. Engineering graphs

B. Basic elements

1. Grid

2. Scale

3. Point and curve designation

4. Title and legend

V. Popular graphs and diagrams

A. Rectangular coordinate line charts

B. Bar (column) charts

C. Surface (area) charts

D. Pie charts

E. Volume (map) charts

F. Flow charts

VI. Technical charts

A. Rectangular coordinate line charts

B. Logarithmic (semilogarithmic) line charts

C. Trilinear coordinate line charts

D. Polar coordinate line charts

E. Nomographs (alignment charts)

F. Rectangular coordinate distribution charts