STATS 255 - Optimisation and Data-driven Decision Making

Course Overview

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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

Average Rating From 1 Reviews

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Teaching Quality

4 / 10

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Content Quality

7 / 10

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Workload

10 / 10

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Difficulty

10 / 10

0% - Would Recommend

100% - Would Not Recommend

Reviews

The content was very tough to learn and was taught too quickly, especially in the 2nd and 3rd parts.

Semester One - 2022