SIT718 - Real World Analytics

Year:

2020 unit information

Enrolment modes: Trimester 1: Burwood (Melbourne), Cloud (online)
Trimester 2: Burwood (Melbourne), Cloud (online)
Trimester 3: Burwood (Melbourne), Cloud (online)
Credit point(s): 1
EFTSL value:

0.125

Prerequisite:

Nil

Corequisite:

Nil

Incompatible with:

Nil

Study commitment

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus

1 x 1 hour class per week, 1 x 2 hour face-to-face workshop per week.

Scheduled learning activities - cloud (online)

1 x 1 hour scheduled online seminar per fortnight.

Note:

Enrolments after commencement of trimester is subject to Unit Chair approval.

This unit uses the FutureLearn online learning platform. Learn more about studying through FutureLearn.

Content

This unit introduces students to two concepts at the heart of real world analytics: optimisation and multivariate data aggregation. Students will learn how decision-making problems in industry, business, and civic services can be solved using modern modelling and solution techniques. Students will learn how to make better decisions through mathematical methods in optimisation problems such as: production planning, time-tabling management, human resource rostering, sports program scheduling, robotics/vehicle routing, network design, and resource allocation. On the topic of aggregation, students will learn how to apply the concepts of multivariate functions in order to summarise datasets that involve several interrelated variables. They will be able to reasonably analyse datasets by interpreting the parameters associated with commonly used multivariate functions.

Unit Fee Information

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