Visual analytics is an advanced form of visualization in which a visualization process features a substantial amount of computational analysis and human-computer interaction. The course covers a broad range of topics (complex heterogeneous data, uncertainty, text, documents, audio, video, healthcare, provenance, dimensionality reduction, perception, cognition, knowledge discovery) to demonstrate the purpose of visualization and visual analytics in data-intensive application domains.