SOW-MKI52
New Media Lab
Course infoSchedule
Course moduleSOW-MKI52
Credits (ECTS)6
Category-
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Artificial Intelligence;
Lecturer(s)
Coordinator
prof. dr. T. Bosse
Other course modules lecturer
Examiner
prof. dr. T. Bosse
Other course modules lecturer
Contactperson for the course
prof. dr. T. Bosse
Other course modules lecturer
Lecturer
dr. H.K. Schraffenberger
Other course modules lecturer
Academic year2018
Period
SEM2  (04/02/2019 to 12/07/2019)
Starting block
SEM2
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesYes
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
After this course, the student will be capable to play a role in a multi-disciplinary team and conduct empirical research in the field by means of new media technologies such as mobile apps, virtual reality or interactive installations.
Content
The course focuses on designing, building and deploying new media technologies as instruments for conducting research. The research questions addressed stem from different academic fields and range from data collection (e.g. experience sampling), through coaching and behavioral change, up to validation of applications of Artificial Intelligence.The student is expected to follow, in a multi-disciplinary student team, a research cycle consisting of the following steps:
  1. define the research question, target user group, functionality and study protocol,
  2. conceptualize an interactive application, create mock-ups and preliminary walk-throughs,
  3. develop the application, distribute it and implement the study protocol 
  4. conduct and analyze the empirical study using this application. 
The course will address necessary topics to follow the proposed research cycle.
Additional comments
During the start of the course, a series of lectures will be organized on topics such as research opportunities from different application fields, design space analysis, usability studies, Scrum, privacy & ethics in interactive applications, and mobile app development platforms. Next, students will work through the proposed research cycle in multi-disciplinary teams and report back in several plenary sessions throughout the course.

Levels
AI-MA

Test information
Scoring is based on a final report. An additional condition is that students participate actively in the presentation sessions.

Required materials
To be announced
Will be announced in Brightspace before the start of the course.

Instructional modes
Lecture
Attendance MandatoryYes

General
During the start of the course, a series of lectures will be organized on topics such as research opportunities from different application fields, design space analysis, usability studies, Scrum, privacy & ethics in interactive applications, and mobile app development platforms. Next, students will work through the proposed research cycle in multi-disciplinary teams and report back in several plenary sessions throughout the course.

Working group
Attendance MandatoryYes

Tests
Report
Test weight1
OpportunitiesBlock SEM2