Vorlesungsinhalt: Partial Derivatives; The Gradient and Jacobian; Differntiation Rules; (Dis-)Advantages of analytic Differentiation; Symbolic and Numeric Differentiation; Algorithmic Differentiation; Extended evaluation Procedure; Background of FM; Reverse Mode; ADIMAT Driver; ADOLC Driver