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.

2022 teaching periods

Swinburne Online

Teaching Period 3

Dates:
8 Nov 21 - 13 Feb 22

Results:
8 Mar 22

Last self enrolment:
21 Nov 21

Census:
3 Dec 21

Last withdraw without fail:
31 Dec 21

More teaching periods

Hawthorn

Higher Ed. Semester 2

Dates:
1 Aug 22 - 30 Oct 22

Results:
6 Dec 22

Last self enrolment:
14 Aug 22

Census:
31 Aug 22

Last withdraw without fail:
16 Sep 22

Swinburne Online

Teaching Period 2

Dates:
11 Jul 22 - 9 Oct 22

Results:
1 Nov 22

Last self enrolment:
24 Jul 22

Census:
5 Aug 22

Last withdraw without fail:
26 Aug 22


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