The following text was taken from the ERSI Online Campus website where these courses can be accessed

Learning ArcGIS Spatial Analyst (for ArcGIS Spatial Analyst 9.0-9.1)

Module 1: Getting Started with ArcGIS Spatial Analyst

Working with ArcGIS Spatial Analyst

Setting the analysis environment

Work with Spatial Analyst tools

Preparing your data for analysis

Converting data

Convert vector data to raster data

Reclassifying raster data

Reclassify an elevation raster

Reclassify a raster using an ASCII remap file

Reclassify data to a common scale

Module 2: Analyzing Surfaces

Visualizing surface data

Hillshade

Calculate hillshade

Contours

 contours

Deriving data from surfaces

Slope

Aspect

Calculate slope and aspect

Viewshed

Calculate viewshed

Module 3: Working with Map Algebra

Working with operators and functions

Map Algebra operators

Map Algebra functions

Understanding logical values

Work with functions

Work with operators

Putting Map Algebra to work

Conditional processing

Use conditional processing

Working with NoData

Create a mask to clip a raster

Combining multiple rasters

Merge and mosaic rasters

Module 4: Interpolating Raster Surfaces with ArcGIS Spatial Analyst

Introduction to interpolation

What is interpolation?

Spatial autocorrelation

Sample size

Interpolation barriers

Creating a terrain surface with sample points

Explore different interpolation methods

Interpolation methods

Inverse Distance Weighted

Spline

Natural Neighbors

Kriging

Model snow depth with IDW

Model subsurface limestone formation near earthquake faults

Create a terrain surface with Spline

Module 5: Mapping Distance and Density

Distance surfaces

The Straight Line Distance function

Straight Line Allocation and Direction functions

Air ambulance study

The Cost Weighted Distance function

Cost surfaces

Least-cost path analysis

Find the least-cost path

Density surfaces

Simple density calculations

Kernel density calculations

Estimate density

Using attributes to calculate density

Estimate density using attributes

Module 6: Using Cell, Neighborhood, and Zonal Statistics

Comparing raster datasets using cell statistics

Statistical methods

The Cell Statistics function

Use the Cell Statistics function to detect change

Describing raster datasets using neighborhood and zonal statistics

The Neighborhood Statistics function

The Zonal Statistics function

Use a neighborhood function to investigate the edge effect of land cover data

Find the variety of vegetation types by zone

Create a generalized land cover raster