LNGS7508: Semester 1, 2023

Units LNGS7508 Semester 1 2023 [Normal day]

Unit outline_

LNGS7508: Corpus Linguistics and the Professions

Semester 1, 2023 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit focuses on corpus linguistics and its application to a range of professional contexts, including but not limited to English language learning and teaching. In addition to lectures, lab-based tutorials will allow students to acquire and practice skills in computer-based text analysis. The emphasis is on easy-to-use tools and no prior technical expertise is required.

Unit details and rules

Academic unit	Linguistics
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Monika Bednarek, monika.bednarek@sydney.edu.au
Lecturer(s)	Monika Bednarek, monika.bednarek@sydney.edu.au

Type	Description	Weight	Due	Length
Presentation	Presentation Presentation on academic publication. Due dates will depend on student.	30%	Week 06 Due date: 31 Mar 2023 at 14:00	15 mins (1500 wd equivalent)
Outcomes assessed:
Assignment	Project proposal a critical personal reflection with integrated project proposal	30%	Week 07 Due date: 06 Apr 2023 at 23:59	2000 wd
Outcomes assessed:
Assignment	Project critical personal reflection with revised and extended project proposal	40%	Week 13 Due date: 26 May 2023 at 23:59	2500 wd
Outcomes assessed:

Assessment summary

A 1: prepare and deliver an oral presentation of about 15 minutes length. Your presentation will report on an academic publication in applied corpus linguistics (in the specific fields covered in this unit of study). Important: Due dates for this will be on different dates throughout the semester, as you will present in the tutorial; only the first possible date is listed in the schedule. Students will sign up for the relevant week themselves. Depending on the number of students enrolled, presentations will be individual or in pairs/groups.
A2: Write a critical personal reflection with integrated project proposal (based on your own data-driven learning)
A3: Write a revised and extended critical personal reflection with integrated project proposal (based on additional own data-driven learning)

Assessment criteria

Detailled instructions that include the assessment criteria and rubric will be distributed for each assignment as separate handouts.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	Corpus linguistics and health communication	Lecture and tutorial (2 hr)
Week 02	Introduction to corpus linguistics	Lecture and tutorial (2 hr)
Week 03	Frequency and keyness	Lecture and tutorial (2 hr)
Week 04	Collocation	Lecture and tutorial (2 hr)
Week 05	Concordances	Lecture and tutorial (2 hr)
Week 06	English language learning and teaching I	Lecture and tutorial (2 hr)
Week 07	English language learning and teaching II	Lecture and tutorial (2 hr)
Week 08	Law I	Lecture and tutorial (2 hr)
Week 09	Law II	Lecture and tutorial (2 hr)
Week 10	Business I	Lecture and tutorial (2 hr)
Week 11	Business II	Lecture and tutorial (2 hr)
Week 12	Extensions I	Lecture and tutorial (2 hr)
Week 13	Extensions II	Lecture (1 hr)

Attendance and class requirements

(as per coursework policy)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

Required readings will be available via Canvas and information about them will be provided in class.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. explain key concepts in corpus linguistics
LO2. undertake computer-based text analysis of linguistic data
LO3. understand the real-world applications of corpus linguistics for a range of professional contexts

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

This is the first time this unit has been offered

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links