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EDF40060

Academic Year 2024/2025

Digital Methods (EDF40060)

Subject:
English, Drama & Film
College:
Arts & Humanities
School:
English, Drama & Film
Level:
4 (Masters)
Credits:
10
Module Coordinator:
Dr Maria Mulvany
Trimester:
Spring
Mode of Delivery:
Online
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

Purpose & Overarching Content:
This module offers a unique opportunity for students to enhance their digital competence and build their capacity to interpret data. It will familiarize students with basic digital humanities/machine reading techniques in subject areas that do not traditionally offer technical expertise. It will also enhance the career prospects of students across a broad range of disciplines by equipping them with transferable digital skills and the capacity to work with data relevant to their academic discipline and beyond. Students will benefit from a range of online lectures/workshops by staff and industry partners from the UCD Centre for Cultural Analytics.

About this Module

Learning Outcomes:

What will I Learn?
- Enhanced digital competence, including introductions to digital storytelling (blogging, podcasting).
- Ability to understand and produce basic data visualisations, basic machine learning and digital tools for humanities research and dissemination.
- Ability to practically apply knowledge gained during the course to complete digital assignments.
- Ability to recognize and use appropriate copyright citation and licensing for online content.
- Learn digital communication strategies appropriate to a given work environment and the ability to communicate research effectively to wider audiences.
- Strengthen critical and research skills in online research, study and writing.

*Please note that Generative AI technologies may not be used on this module in line with the UCD College of Arts and Humanities guidelines.

Indicative Module Content:

Indicative Module Content:
- Digital publishing in blog format;
- Introduction to working with data;
- Social network analysis for beginners;
- The art of the podcast;
- Digital mapping;
- Digital storytelling online
- Digital project creation and management

Student Effort Hours:
Student Effort Type Hours
Lectures

24

Specified Learning Activities

76

Autonomous Student Learning

100

Total

200


Approaches to Teaching and Learning:
Approaches to Teaching and Learning:
This course is taught online through a combination of live and recorded lectures. Practical workshops will demonstrate digital methodologies in real time and will give an opportunity to practice exercises with digital tools. Class discussion will be facilitated by use of online classroom technology incorporating Zoom. Students will undertake a small-scale individual digital project with support from a member of the teaching team.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): This assignment option asks students to EITHER create a Wordpress blog and populate it with at least one blog post OR to create a social network visualization of a sample text. Practical assignment. Week 6 Graded No
25
No
Assignment(Including Essay): This assignment asks students to EITHER create a map of a literary text and write a critical piece analysing its locations OR to compose an authoritative review of a digital archive or digital edition Week 10 Graded No
25
No
Assignment(Including Essay): Students complete an individual digital project of their choosing - options include podcasts; mapping; social network analysis; blogs. In Wk 12, students will complete 5 minute presentation on project Week 12 Graded No
50
No
Assignment(Including Essay): Students will complete a short project planning template in preparation for their digital projects Week 7 Other No
0
No

Carry forward of passed components
No
 

Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Feedback will be primarily via Brightspace, with in person follow up if required

Name Role
Suchana Datta Lecturer / Co-Lecturer
Professor Gerardine Meaney Lecturer / Co-Lecturer
Dr Maria Mulvany Lecturer / Co-Lecturer
Dr Karen Wade Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 30, 31, 32, 33 Fri 10:00 - 11:50
Spring Lecture Offering 1 Week(s) - 29 Fri 10:00 - 12:50