AH5805 Project Work: Data Analysis

Academic year

2024 to 2025 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.

Availability restrictions

Enrolment is limited to online PGT programmes.

Planned timetable

Not Applicable

This information is given as indicative. Timetable may change at short notice depending on room availability.

Module coordinator

Dr E N Savage

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

Module Staff

Dr Emily Savage; Dr Natalia Sassu Suarez Ferri; Dr Billy Rough

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 challenges students to think critically about the creation, organisation, and classification of data produced by digital art historians. This module requires students to design and execute their own research project based on a data set. Students can choose their own data set or utilise one provided by University Collections. Through a series of reflective asynchronous tasks, students are required to develop a research question, method of analysis, and visualisation strategy to display their findings. This module is structured into set topics. Each topic will be delivered fully online as video content, set readings, and asynchronous reflective and practical tasks. Live Q&A sessions, feedback on asynchronous activities and one-to-one discussions will provide students with the necessary guidance throughout the course.

Relationship to other modules

Pre-requisites

BEFORE TAKING THIS MODULE YOU MUST PASS AH5801

Assessment pattern

100% Coursework

Re-assessment

100% Coursework

Learning and teaching methods and delivery

Weekly contact

There are no fixed weekly contact hours, but students should expect to engage in asynchronous discussions. There will be opportunities for synchronous one-to-one and group discussions during the module. Students should take note of the overall study hours expected when planning their learning.

Scheduled learning hours

17

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

Guided independent study hours

126

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

Intended learning outcomes

  • identify the sources and uses of data in art historical research
  • clean and visualise datasets using digital platforms
  • explain how data can reflect ideologies, biases, and ontologies
  • understand the importance of open access data and standardisation for both institutions and researchers

AH5805 Project Work: Data Analysis

Academic year

2024 to 2025 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.

Availability restrictions

Enrolment is limited to online PGT programmes.

Planned timetable

Not Applicable

This information is given as indicative. Timetable may change at short notice depending on room availability.

Module coordinator

Dr E N Savage

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

Module Staff

Dr Emily Savage; Dr Natalia Sassu Suarez Ferri; Dr Billy Rough

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 challenges students to think critically about the creation, organisation, and classification of data produced by digital art historians. This module requires students to design and execute their own research project based on a data set. Students can choose their own data set or utilise one provided by University Collections. Through a series of reflective asynchronous tasks, students are required to develop a research question, method of analysis, and visualisation strategy to display their findings. This module is structured into set topics. Each topic will be delivered fully online as video content, set readings, and asynchronous reflective and practical tasks. Live Q&A sessions, feedback on asynchronous activities and one-to-one discussions will provide students with the necessary guidance throughout the course.

Relationship to other modules

Pre-requisites

BEFORE TAKING THIS MODULE YOU MUST PASS AH5801

Assessment pattern

100% Coursework

Re-assessment

100% Coursework

Learning and teaching methods and delivery

Weekly contact

There are no fixed weekly contact hours, but students should expect to engage in asynchronous discussions. There will be opportunities for synchronous one-to-one and group discussions during the module. Students should take note of the overall study hours expected when planning their learning.

Scheduled learning hours

17

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

Guided independent study hours

126

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

Intended learning outcomes

  • identify the sources and uses of data in art historical research
  • clean and visualise datasets using digital platforms
  • explain how data can reflect ideologies, biases, and ontologies
  • understand the importance of open access data and standardisation for both institutions and researchers