STATS 255 - Optimisation and Data-driven Decision Making
Faculty
Science
Department
Statistics
Points:
15
Available Semesters:
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Course Components
Labs
Tutorials
Lectures
Exam
TBLs
Workshops
Description: Explores methods for using data to assist in decision making in business and industrial applications. Software packages will be used to solve practical problems. Topics such as linear programming, transportation and assignment models, network algorithms, queues, Markov chains, inventory models, simulation, analytics and visualisation will be considered.
Prerequisites / Restrictions
Prerequisite: ENGSCI 211 or STATS 201 or 208, or a B+ or higher in either MATHS 108 or 120 or 130 or 162 or 199 or STATS 101 or 108, or a concurrent enrolment in either ENGSCI 211 or STATS 201 or 208 Restriction: ENGSCI 255
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Teaching Quality
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