This lecture by the instructor covers convex optimization problems, including standard form, transformation techniques, local and global optima, optimality criteria, equivalent problems, and various types of optimization problems such as LP, QP, QCQP, and SOCP. The lecture also delves into practical applications like transportation problems, project scheduling, and grasping force optimization in robotics.