FIT5145 - Introduction to data science

There is a more recent version of this academic item available.

Overview

This unit looks at processes, case studies and simple tools to understand the many facets of working with data, and the significant effort in Data Science over and above the core task of Data Analysis. Working with data as part of a business model and the lifecycle in an organisation is considered, as well as business processes and case studies. Data and its handling is also introduced: characteristic kinds of data and its collection, data storage and basic kinds of data preparation, data cleaning and data stream processing. Styles of data analysis and outcomes of successful data exploration and analysis are reviewed. Standards, tools and resources are also reviewed. Basic curation and management are reviewed: archival and architectural practice, policy, legal and ethical issues.

Offerings

MO-TP1-01-ONLINE-MO

MO-TP4-01-ONLINE-MO

S1-01-CLAYTON-ON-CAMPUS

S1-FF-CLAYTON-FLEXIBLE

S2-01-CLAYTON-ON-CAMPUS

SSB-01-CAULFIELD-ON-CAMPUS

Requisites

Prerequisite

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Dr Mahsa Salehi

Professor Wray Buntine

Dr Michael Niemann

Notes

IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.

Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data Science via Monash Online.

Teaching approach

Active learning

Assessment

1 - In-semester assessment

Value %:50

Hurdle type:Threshold

Hurdle description:

This unit contains hurdle requirements which you must achieve to be able to pass the unit. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit. For Monash Online: In-semester assessment: 100%

Offering(s):

First semester, Clayton, Teaching activities are on-campus (ON-CAMPUS)
First semester (Fully flex), Clayton, Flexible (FLEXIBLE)
Second semester, Clayton, Teaching activities are on-campus (ON-CAMPUS)
Summer semester B, Caulfield, Teaching activities are on-campus (ON-CAMPUS)

2 - On-campus: Examination (2 hours and 10 minutes)

Value %:50

Hurdle type:Threshold

Hurdle description:

Offering(s):

First semester, Clayton, Teaching activities are on-campus (ON-CAMPUS)
First semester (Fully flex), Clayton, Flexible (FLEXIBLE)
Second semester, Clayton, Teaching activities are on-campus (ON-CAMPUS)
Summer semester B, Caulfield, Teaching activities are on-campus (ON-CAMPUS)

3 - In-semester assessment

Scheduled and non-scheduled teaching activities

Laboratories

Lectures

Workload requirements

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning and online engagement.

Learning resources

Technology resources