This lecture covers the concept of bases and dimension in linear algebra, discussing examples of vector spaces with finite and infinite dimensions, bases, linear independence, and dimensionality. It also explains the notation for matrices and the properties of bases in vector spaces. The lecture concludes with a corollary related to the dimension of a vector space when given a specific base.