5 ECTS cr / 135 hours of work
Autumn semseter, period I.
By the end of the course, students:
- possess the skills for analysing (reverse-engineering) social applications that consist of individuals and computing devices in a variety of contexts.
- can design social software, especially software that deal with crowdsourcing and human-computation
- have advanced understanding of both the positive and negative real-world consequences/aspects of social aspects of computing online
- are able to explain human behaviour with social computing systems by using selected basic theories from such as sociology or psychology
Basics of social computing, computer-mediated human communication, designing social software, analysing social computing projects, crowdsourcing
The course consists of lectures, exercises and individual / group-based assignments.
The course consists of lectures (12h), exercises (16h), assignments and self-study (102h).
M.Sc. and B.Sc. students. The course recommended for anyone who wishes to strengthen their expertise on social aspects of computational systems as well as designing for humans.
No recommended or required preparations.
|Yhteydet muihin opintojaksoihin
The course is an independent entity and does not require additional studies carried out at the same time. The course involves design exercises that demand some experience with computer programs (not programming per se).
Required reading will be delivered during the course.
|Suoritustavat ja arviointikriteerit
The course completion relies on a number of completed solo-works (such as reflections and evaluation of specific online systems that are graded). The majority of the numerical assessment is project-based. Students have to complete several individual exercises throughout the semester: ideating an application, designing various versions of its prototype, evaluating those prototypes, documenting the final application designs. Passing criteria: all stages of the project-based work must be completed, each receiving more than 50% of the available points.
The course unit utilizes a numerical grading scale 1-5. In the numerical scale zero stands for a fail.
Associate Professor Simo Hosio
The course contains optional guest lectures.
Uses Moodle as the learning environment: target=_blank>https://moodle.oulu.fi/course/view.php?id=2679