EDF40060 Digital Methods

Academic Year 2023/2024

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 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 talks and workshops by experts in humanities and computer science.

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Curricular information is subject to change

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.
Ability to practically apply knowledge gained during the course to complete digital assignments and to create a digital portfolio
Recognize and use appropriate copyright citation and licensing for nline content
Learn digital communication strategies appropriate to a given work environment, and the ability to communicate research effectively.
Strengthen skills in online research, study and writing.

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.

Student Effort Hours: 
Student Effort Type Hours
Specified Learning Activities

76
Autonomous Student Learning

100
Lectures

24
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 give an opportunity to practice exercises with digital tools. Class discussion will be facilitated by use of online classroom technology incorporating Zoom. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Students are required to do 2 assignments in the course of the module, from a list of 4 possible assignments. Students will also complete an individual, small-scale, supervised digital project. Throughout the Trimester n/a Graded Yes

100

Carry forward of passed components
Yes
 
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
Ms. Siobhan Grayson Lecturer / Co-Lecturer
Assoc Professor Derek Greene 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
Lecture Offering 1 Week(s) - 29 Fri 10:00 - 12:50
Spring