This course gives an introduction into scheduling theory and its applications.
Basic knowledge (bachelor level) of analysis and linear algebra. Linear programming (modelling, not necessarily solving, see e.g. Chapter 1 of Linear Programming: Foundations and Extensions by Robert J. Vanderbei) and dynamic programming (see e.g. Chapter 5 of Integer Programming by Laurence A. Wolsey).