• Class Number 6823
  • Term Code 3260
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Dr Terhi Nurmikko-Fuller
    • Dr Terhi Nurmikko-Fuller
  • Class Dates
  • Class Start Date 25/07/2022
  • Class End Date 28/10/2022
  • Census Date 31/08/2022
  • Last Date to Enrol 01/08/2022
SELT Survey Results

Digital technologies have infiltrated nearly all aspects of our existence, covering each natural and cultural urge from ordering food, checking our banking details, finding a partner, or paying our taxes. Our interactions with new digital and computational technologies affect how we think of ourselves and our cultural heritage, both individually and collectively; they influence the ways in which we interact socially and politically; and, they affect how we determine public and private spaces in an increasingly connected world. Our digital legacies even outlast our lives, preserving some part of us even once we are gone. Regardless of the level of involvement, we are all living in the digital era. This course engages the students to discuss some of the key ways in which the digital has affected our lives, and what it really means. We examine different manifestations of human culture as it occurs online, pulling in examples from social media, the cultural heritage sector, even the Dark Web. We examine the ethical implications for collecting data about people, critique the ways in which information is presented and retrieved online, discuss popular trends and online behaviours, and tackle questions related to some of the less pleasant aspects of online culture. In order to do so, we need a thoughtful, ethical, critical, and interdisciplinary approach to the study and development of technology. Technology should be understood together with, and in the context of, understanding humanity. Understanding the technology alone is not enough, we need to understand how technology and humanity interact.

Examples of topics and methods covered: Crowdsourcing, Social media analysis (social networking, sentiment analysis, etc), AI and ML methods and problems, Gaming and gamification, Linked Data and Knowledge Representation, Tech utopias/dystopias, Privacy and trust online, Ethics, research, data etc

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. understand digital culture and society;
  2. apply computational methodologies to their own research, writing and project development;
  3. understand a range of theoretical and methodological arguments relating to society and culture in the Digital Age;
  4. express their ideas and understanding about computational methodologies for the analysis of digital society and culture using a range of different media;
  5. have the confidence and capacity to trial, upskill and evaluate a range of digital tools and methods; and
  6. understand how to develop a plan for a research project using computational methods and digital publication.

Whether you are on campus or studying remotely, there are a variety of online platforms you will use to participate in your study program. These could include videos for lectures and other instruction, two-way video conferencing for interactive learning, email and other messaging tools for communication, interactive web apps for formative and collaborative activities, print and/or photo/scan for handwritten work and drawings, and home-based assessment.

ANU outlines recommended student system requirements to ensure you are able to participate fully in your learning. Other information is also available about the various Learning Platforms you may use.

Staff Feedback

Students will be given feedback in the following forms in this course:

  • written comments
  • verbal comments
  • feedback to whole class, groups, individuals, focus group etc

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

Class Schedule

Week/Session Summary of Activities Assessment
1 Introduction to Interdisciplinary Research and Study
2 Data: Open, Linked, Meta...and Where to Find It
3 Privacy, Ethics, and Trust in the Data Economy
4 Methodology: Identify and Evaluate, Recognise Bias
5 Technology is Neither Good Nor Bad Nor Is It Neutral
6 Workflows: Planning Digital Projects
7 Tech Utopias and Dystopias
8 Gartner Hype Cycle
9 Future Directions?
10 What even is a Pecha Kucha?
11 Practice Round Student Presentations (feedback!)
12 Student Presentations

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Evaluation of a Digital Resource 25 % 12/08/2022 26/08/2022 1,3
Evaluation of a Digital Tool or Method 25 % 02/09/2022 16/09/2022 1,3,5,
Plan a new Digital Resource 20 % 23/09/2022 30/09/2022 1,2,3,6
Creation of a Digital Resource 20 % 21/10/2022 04/11/2022 1,2,3,5,6
Class Presentation Showing Your Amazing Resource 10 % 24/10/2022 24/10/2022 4

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details


ANU has educational policies, procedures and guidelines , which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Integrity Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Assessment Task 1

Value: 25 %
Due Date: 12/08/2022
Return of Assessment: 26/08/2022
Learning Outcomes: 1,3

Evaluation of a Digital Resource

A critical evaluation of an available or existing digital resource. This could be a dataset, or a project that enables the exploration of a dataset.

Assessment Task 2

Value: 25 %
Due Date: 02/09/2022
Return of Assessment: 16/09/2022
Learning Outcomes: 1,3,5,

Evaluation of a Digital Tool or Method

Critical evaluation of a methodology, such as Linked Data, text analysis, music encoding, sentiment analysis, network theory, AI or machine learning algorithms, ideally referring to at least one existing project in which the method is used.

Assessment Task 3

Value: 20 %
Due Date: 23/09/2022
Return of Assessment: 30/09/2022
Learning Outcomes: 1,2,3,6

Plan a new Digital Resource

Plan the process for building a digital resource, including timeline, necessary resources, and any prerequisite steps in the workflow (for example, the need to learn a skill before it is used).

Assessment Task 4

Value: 20 %
Due Date: 21/10/2022
Return of Assessment: 04/11/2022
Learning Outcomes: 1,2,3,5,6

Creation of a Digital Resource

Creation of a digital resource that combines data and a method. These could be something created from exiting data (such as any of the dataset openly available from data.gov.au) combined with a process of data crunching, analysis, or similar. Students can use online tutorials such as those available from the Programming Historian website. The project is the equivalent of writing a 2000 word essay, but you are NOT tasked with writing a 2000 word project report. Instead, you need to use the same amount of time on building the resource, as it would take you to study, research, draft, and polish a 2000 word essay.

Assessment Task 5

Value: 10 %
Due Date: 24/10/2022
Return of Assessment: 24/10/2022
Learning Outcomes: 4

Class Presentation Showing Your Amazing Resource

Students will report on their project in a Pecha Kucha presentation, given in class. These presentations are casual and informal in tone, and consist of 20 slides of pictures only (no words!) each set to change every 20 seconds. Total presentation length is 6min 40 sec.

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.

The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.

The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.


The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:

  • Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded.
  • Late submission permitted. Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

Referencing Requirements

The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

Dr Terhi Nurmikko-Fuller

Research Interests

Web Science, Linked Data, Digital Humanities

Dr Terhi Nurmikko-Fuller

By Appointment
Dr Terhi Nurmikko-Fuller

Research Interests

Dr Terhi Nurmikko-Fuller

By Appointment

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions