Technological Advances in Dealing with Crime

LAW20032 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent

Contact hours

  • 36 hours

On-campus unit delivery combines face-to-face and digital learning.

2023 teaching periods

Hawthorn

Higher Ed. Semester 2

Dates:
31 Jul 23 - 29 Oct 23

Results:
5 Dec 23

Last self enrolment:
13 Aug 23

Census:
31 Aug 23

Last withdraw without fail:
15 Sep 23
More teaching periods
Swinburne Online

Teaching Period 1		 Swinburne Online

Teaching Period 3

Dates:
13 Mar 23 - 11 Jun 23

Results:
4 Jul 23

Last self enrolment:
26 Mar 23

Census:
7 Apr 23

Last withdraw without fail:
28 Apr 23

Dates:
6 Nov 23 - 11 Feb 24

Results:
5 Mar 24

Last self enrolment:
19 Nov 23

Census:
1 Dec 23

Last withdraw without fail:
29 Dec 23

Prerequisites

and
and
75 credit points
 
OR
 

Aims and objectives

This unit aims to enable students to acquire a comprehensive knowledge of the problems with sentencing decision-making and the role of artificial intelligence in sentencing. Students will acquire a comprehensive knowledge and understanding of the role of big data in law enforcement and how the internet is increasingly used as both a tool to commit and detect crime. A key aspect of the unit involves analysing the role that technology can have in developing new criminal sanctions, especially in the context of alternatives to prison and community corrections orders
 
Students who successfully complete this unit will be able to:

1. Analyse sentencing problems and evaluate the role of technology in sentencing decision-making.
2. Evaluate the use of artificial intelligence in law enforcement activities
3. Explain the application and role of big data in responses to crime
4. Reflect on the role of technology in developing new criminal sanctions