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Module Overview
Description
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Timetable
BDC6111
FOUNDATIONS OF OPTIMIZATION
2018/2019, Semester 1
School of Business (Analytics & Operations)
Modular Credits: 4
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Learning Outcomes
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This course will cover important topics in optimization theory including linear, network, discrete, convex, conic, stochastic and robust. It will focus on methodology, modeling techniques and mathematical insights. This is a core module for PhD students in the Decision Science department.
Prerequisites
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A basic knowledge of linear algebra
Preclusions
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IE6001
Workload
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3-0-0-4-3
Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week