DS815: The quality of data from social encounters
Study Board of Science
Teaching language: Danish
EKA: N340066102
Assessment: Second examiner: None
Grading: Pass/Fail
Offered in: Odense
Offered in: Spring
Level: Master
STADS ID (UVA): N340066101
ECTS value: 5
Date of Approval: 01-11-2022
Duration: 1 semester
Version: Approved - active
Comment
Entry requirements
A Bachelor's degree in humanities or social sciences, or a relevant Bachelor of profession.
The course cannot be taken by students enrolled in the master programme in Computer Science.
The course cannot be taken by students enrolled in the master programme in Computer Science.
Academic preconditions
Course introduction
The course aims to enable the student to assess field validity and the quality of data collected on human behavior. This is important in assessing challenges both for writing algorithms and for generalizations that can be ascertained on the basis of big data.
The course provides a professional basis for applying knowledge, competences and skills acquired in the study program to social data.
In relation to the education's competency profile, the course explicitly focuses on:
- Provide competence to assess the possibility and relevance of algorithms for systems that interact with human users.
- Provide skills in analyzing human interaction.
- Provide knowledge of methods for analyzing social interaction.
Expected learning outcome
In order to achieve the purpose of the course, the learning objective of the course is that the student demonstrates the ability to:
- analyze empirical cases of social interactions to describe the underlying practices;
- evaluate the quality of big data collected from such interactions in order to formulate requirements for algorithms for systems that interact with users.
Content
The following main topics are contained in the course:
- Research on social interactions
- Video-analysis and video-ethnography
Literature
Examination regulations
Exam element a)
Timing
Spring
Tests
Project
EKA
N340066102
Assessment
Second examiner: None
Grading
Pass/Fail
Identification
Full name and SDU username
Language
Normally, the same as teaching language
Examination aids
To be announced during the course.
ECTS value
5
Indicative number of lessons
Teaching Method
The teaching method is based on three phase model.
- Intro phase: 13 hours
- Skills training phase: 13 hours, hereof tutorials: 0 hours and laboratory exercises: 13 hours
Activities during the study phase:
- Video data collection
- Annotation of video data
Teacher responsible
Name | Department | |
---|---|---|
Christina Melanie Cooper | cooper@sdu.dk | Institut for Medier, Design, Læring og Erkendelse |
Timetable
Administrative Unit
Team at Educational Law & Registration
Offered in
Recommended course of study
Transition rules
Transitional arrangements describe how a course replaces another course when changes are made to the course of study.
If a transitional arrangement has been made for a course, it will be stated in the list.
See transitional arrangements for all courses at the Faculty of Science.