ATS2672 - Exploring texts with computers - 2018

6 points, SCA Band 1, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Arts

Organisational Unit

Linguistics

Chief examiner(s)

Dr Simon Musgrave

Coordinator(s)

Dr Simon Musgrave

Unit guides

Offered

Clayton

  • Second semester 2018 (On-campus)

Prohibitions

ATS3672

Synopsis

In the past, our human limitations constrained the possibilities of working with large bodies of text. But today, technology makes it easy to analyse millions, even billions, of words of text quickly and reliably. This unit introduces students to the basic methods used in analysing large text collections and looks at their application in fields such as literary studies, linguistics, history and translation. Students will learn practical techniques for analysing text collections, will use that knowledge to explore texts relevant to their disciplines and will reflect on the types of knowledge which can be gained using these methods and their value within contemporary humanistic scholarship.

Outcomes

Upon completion of the unit, students will:

  1. understand how texts are made accessible for computational analysis;
  2. understand the nature of basic tools for the exploration and analysis of text corpora;
  3. be able to apply such tools to specific analytic problems involving real data;
  4. be able to interpret the analytic results and present them clearly both orally and in writing.

Assessment

Within semester assessment: 100%

Workload requirements

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

See also Unit timetable information

This unit applies to the following area(s) of study