Course Details in

Module Title	LM Non-Linear Programming II
School	Mathematics
Department	Mathematics
Module Code	06 20441
Module Lead	JJ Ruckmann
Level	Masters Level
Credits	10
Semester	Semester 2
Pre-requisites	Nonlinear Programming I and Heuristic Optimisation - (06 19590)
Co-requisites
Restrictions	Optional for MSci programmes in Mathematics, MSci programmes with Major in Mathematics, MSci programmes with Joint (60 credits) in Mathematics
Contact Hours	Lecture-23 hours Tutorial-5 hours Total: 28 hours
Exclusions
Description	Many decision problems arising in managerial decision making in the public as well as in the private sector are inherently nonlinear, and the same holds for various problems occurring in science and engineering. Tackling highly realistic nonlinear problems leads to solution methods totally different from those of, say, linear programming. In this course, further theory as well as several highly innovative solution methods for nonlinear decision problems arestudied. This course uses and further develops knowledge gained in Nonlinear Programming I of both constrained and unconstrined optimisation.
Learning Outcomes	By the end of the module the student should be able to: Understand and explain further concepts of nonlinear programming Discuss several different solution methods, apply them, and understand their limitation in practice Discuss recent trends and latest developments in nonlinear programming Explore this topic beyond the taught syllabus
Assessment	20441-01 : Raw Module Mark : Coursework (100%)
Assessment Methods & Exceptions	90% based on a 1.5 hour written examination in the Summer Term; 10% based on work during term-time.
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