This lecture covers the convexity of Lovász extension and submodular function maximization, explaining the concept of extending functions to convex sets and proving the convexity property. The instructor, Michael Kapralov, demonstrates how to find the minimum value of a function over a set and maps it to the real numbers, emphasizing the importance of convexity in optimization problems.