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Elective course: AI and communication

Title
Elective course: AI and communication
Semester
E2024
Master programme in
Communication Studies / Media and Communication
Type of activity

Course

Teaching language
English
Study regulation

Read about the Master Programme and find the Study Regulations at ruc.dk

REGISTRATION AND STUDY ADMINISTRATIVE
Registration

You register for activities through stads selvbetjening during the announced registration period, which you can see on the Study administration homepage.

When registering for courses, please be aware of the potential conflicts and overlaps between course and exam time and dates. The planning of course activities at Roskilde University is based on the recommended study programmes, which should not overlap. However, if you choose optional courses and/or study plans that goes beyond the recommended study programmes, an overlap of lectures or exam dates may occur depending on which courses you choose.

Number of participants
ECTS
10
Responsible for the activity
Emma Christensen (emch@ruc.dk)
Head of study
David Mathieu (mathieu@ruc.dk)
Teachers
Study administration
IKH Registration & Exams (ikh-exams@ruc.dk)
Exam code(s)
U60733
ACADEMIC CONTENT
Overall objective

The course contains presentation and critical discussion as well as testing knowledge of a defined media and communication subject area/field of activity, including presentation and discussion of current concepts, theories, and research methods, possibly in collaboration with practitioners within the field.

Detailed description of content

This elective course belongs to bloc 1. We recommend that you choose one elective per bloc. This way, you avoid overlaps in classes and exam periods.

Artificial intelligence (AI) is not only shaping contemporary communication processes but is actively contributing to and participating in them. Customer service chatbots communicate with us, prediction and surveillance models communicate about us, and content generators such as ChatGPT and Midjourney create communication together with us. AI is, in other words, influencing how communication happens, and ultimately what it means to communicate. Thus, understanding the interplay between AI and communication has become imperative.

This course provides a comprehensive exploration of AI technologies and their impact on the field of communication and aims to provide students with the knowledge and critical thinking necessary to understand and relate to this new communication landscape.

The course is structured around a series of themes, such as, foundations of AI and its role in communication, perceptions and expectations of AI, organizational adoption and use of AI, and ethical considerations in AI-enhanced communication. Through a combination of lectures, hands-on exercises, case studies, and discussion, students will gain an in-depth understanding of AI’s transformative potential in various communication domains.

By the end of the course, students will be well-versed in the theoretical foundations of AI and its impact on communication and able to apply these insights to real-world communication scenarios, making students well-prepared for engaging with AI in their future communication practices.

Course material and Reading list
Overall plan and expected work effort

The total study effort for the student (ECTS points converted into hours) = 270 hours.

The hours are divided as follows:

• Course teaching: 40 hours

• Preparation: 150 hours

• Exam, including preparation: 60 hours

• Other activities: 20 hours (semester start, literature search, etc.

Format

In principle, teaching activities take place on campus. The teaching can be arranged so that one or more activities take place elsewhere than at Roskilde University. This can also be online.

Evaluation and feedback

Standardized evaluation in accordance with the rotating evaluation scheme implemented by the Study Board. https://intra.ruc.dk/nc/en/employees/organisation/councils-and-committes/list-of-study-boards/board-of-studies-for-the-communication-programmes/work-on-quality-in-the-education-programme/the-study-boards-evaluation-practice/

Programme
ASSESSMENT
Overall learning outcomes

At the end of the course, the student is able to:

  • Demonstrate in-depth knowledge of a defined subject area/field of activity within media and communication, including nuanced knowledge of common production and project work methods in relation to the subject area.

  • Identify and account for current theories of relevance to the subject area/field of activity, including understanding of significant communication professional issues.

  • Develop, organize and present a specific communication production or project relevant to the subject area/field of activity.

  • Independently and reflectively translate theoretical perspectives and methodological approaches into a concrete communication professional practice.

  • Independently take responsibility for one's own professional development.

Form of examination
The course is passed through active, regular attendance and satisfactory participation.

Active participation is defined as:
The student must participate in course related activities (e.g. workshops, seminars, field excursions, process study groups, working conferences, supervision groups, feedback sessions).

Regular attendance is defined as:
- The student must be present for minimum 80 percent of the lessons.

Satisfactory participation is defined as:
- e.g. oral presentations (individually or in a group), peer reviews, mini projects, test, planning of a course session .

Assessment: Pass/Fail
Form of Re-examination
Individual written take-home assignment

The character limit of the assignment is: 28,800-36,000 characters, including spaces.
The character limit includes the cover, table of contents, bibliography, figures and other illustrations, but exclude any appendices.

The duration of the take-home assignment is 10 days and may include weekends and public holidays.

The assignment must document that the student possesses a confident mastery of written English, including grammar and linguistic correctness.

Assessment: Pass/Fail
Type of examination in special cases
Examination and assessment criteria

The course is passed through active, regular attendance and satisfactory participation. Active participation is defined as:

The student must participate in course related activities (e.g. workshops, seminars, field excursions, process study groups, working conferences, supervision groups, feedback sessions).

Regular attendance is defined as:

  • The student must be present for minimum 80 percent of the lessons.

Satisfactory participation is defined as:

  • e.g. oral presentations (individually or in a group), peer reviews, mini projects, test, planning of a course session.

Assessment: Pass/Fail

Exam code(s)
Exam code(s) : U60733
Last changed 27/05/2024

lecture list:

Show lessons for Subclass: 1 Find calendar (1) PDF for print (1)

Monday 09-09-2024 12:15 - 09-09-2024 16:00 in week 37
AI and Communication (MAC)

Tuesday 10-09-2024 12:15 - 10-09-2024 16:00 in week 37
AI and Communication (MAC)

Thursday 12-09-2024 12:15 - 12-09-2024 16:00 in week 37
AI and Communication (MAC)

Monday 16-09-2024 12:15 - 16-09-2024 16:00 in week 38
AI and Communication (MAC)

Tuesday 17-09-2024 12:15 - 17-09-2024 16:00 in week 38
AI and Communication (MAC)

Thursday 19-09-2024 12:15 - 19-09-2024 16:00 in week 38
AI and Communication (MAC)

Monday 23-09-2024 12:15 - 23-09-2024 16:00 in week 39
AI and Communication (MAC)

Tuesday 24-09-2024 12:15 - 24-09-2024 16:00 in week 39
AI and Communication (MAC)

Thursday 26-09-2024 12:15 - 26-09-2024 16:00 in week 39
AI and Communication (MAC)

Monday 30-09-2024 12:15 - 30-09-2024 16:00 in week 40
AI and Communication (MAC)

Thursday 02-01-2025 10:00 - Sunday 12-01-2025 10:00 in week 01 and week 02
AI and communication - Reexam (MAC)