You should be able to use IGB to open and visualize .bar files. However, there is a limitation with using tiling arrays to investigate AS. The problem is, the arrays will not have very many probes mapping to the differentially spliced region. This means that your statistical power to detect differences will be very limited. In my opinion, the best way to detect changes in splicing is to use an RNA-Seq data set - but even then, if there is not a lot of coverage across the differentially spliced region, you won't have sufficient power to detect real changes.
That said, if you analyze this tiling array data set, you may identify candidate differentially spliced genes. Once you have those, you can probably design some simple follow-up experiments.
A great method for follow-up experiments is to use fragment analysis. Let me know if you would like some references!
The method is pretty simple: you identify the redundant probe sets and then ask: do the probe sets give different answers? If yes, that tells you: there was differential splicing or differential promoters or something else.
However, RNA-Seq is a much better method because it doesn't depend on an array having been designed in advance to do this type of analysis.