ML5851 Digital Modern Languages

Academic year

2025 to 2026 Semester 1

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

15

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 11

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Module coordinator

Dr O Elmaz

Dr O Elmaz
This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module Staff

Dr Clement Godbarge, Dr Orhan Elmaz

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

This module deepens students' understanding of digital technologies within Modern Languages. Key areas include natural language processing (NLP), machine learning, and the exploration of Large Language Models (LLMs). Students will examine the capabilities, limitations, and impact of these technologies on Modern Languages and related industries. They will reflect on the ethical and social implications of applying these technologies. Additionally, the module will highlight how digital developments have been reshaping the study and documentation of languages and transforming career prospects.

Relationship to other modules

Pre-requisites

BEFORE TAKING THIS MODULE YOU MUST PASS CS5901 AND PASS ML5850

Assessment pattern

Coursework - 100%

Re-assessment

Coursework - 100%

Learning and teaching methods and delivery

Weekly contact

There will be a weekly 1-hour Q&A session that will be based on students' submitted questions and it will be recorded and made available online for students that cannot attend the sessions synchronously.

Scheduled learning hours

12

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

138

The number of hours that students are expected to invest in independent study over the period of the module.

Intended learning outcomes

  • Demonstrate a critical understanding of the development of language technologies and their implications for Modern Languages.
  • Identify and discuss the current challenges of AI technologies like GPT for Modern Languages and broader society.
  • Further develop the skill set to work with and apply digital technologies in Modern Languages and related industries.
  • Understand the intersection between AI and Modern Languages and the societal and ethical problems surrounding it.
  • Think as an entrepreneur regarding opportunities at the intersection of Modern Languages and Educational Technology.

ML5851 Digital Modern Languages

Academic year

2025 to 2026 Semester 2

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

15

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 11

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Module coordinator

Dr O Elmaz

Dr O Elmaz
This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module Staff

Dr Clement Godbarge, Dr Orhan Elmaz

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

This module deepens students' understanding of digital technologies within Modern Languages. Key areas include natural language processing (NLP), machine learning, and the exploration of Large Language Models (LLMs). Students will examine the capabilities, limitations, and impact of these technologies on Modern Languages and related industries. They will reflect on the ethical and social implications of applying these technologies. Additionally, the module will highlight how digital developments have been reshaping the study and documentation of languages and transforming career prospects.

Relationship to other modules

Pre-requisites

BEFORE TAKING THIS MODULE YOU MUST PASS CS5901 AND PASS ML5850

Assessment pattern

Coursework - 100%

Re-assessment

Coursework - 100%

Learning and teaching methods and delivery

Weekly contact

There will be a weekly 1-hour Q&A session that will be based on students' submitted questions and it will be recorded and made available online for students that cannot attend the sessions synchronously.

Scheduled learning hours

12

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

138

The number of hours that students are expected to invest in independent study over the period of the module.

Intended learning outcomes

  • Demonstrate a critical understanding of the development of language technologies and their implications for Modern Languages.
  • Identify and discuss the current challenges of AI technologies like GPT for Modern Languages and broader society.
  • Further develop the skill set to work with and apply digital technologies in Modern Languages and related industries.
  • Understand the intersection between AI and Modern Languages and the societal and ethical problems surrounding it.
  • Think as an entrepreneur regarding opportunities at the intersection of Modern Languages and Educational Technology.