Web Personalization 7,5 Credits
Course ContentsWeb personalization in human-computer interaction (HCI) is both a science and an engineering discipline: it is the science of understanding how people interact with computerized systems, and the engineering discipline of making these systems work better for the people who use them.
This course provides an introduction to both disciplines of web personalization in HCI. From a science perspective, the course will cover the following topics: How can we apply psychological theories to HCI, so as to create a better understanding of how people use computers? How can we test these theories with user experiments? From a more engineering perspective the course will provide basic theoretical, technical, and algorithmic understandings of artificial intelligence methods that can facilitate personalization.
PrerequisitesPassed courses 180 credits in first cycle, at least 90 credits within the major subject in Informatics, Computer Science, Interaction Design, Computer Engineering, Electrical Engineering (with relevant courses in web programming), and completed course Data Science 7,5 credits, or equivalent. Proof of English proficiency is required.
Level of Education: Master
Course code/Ladok code: TWPS20
The course is conducted at: School of Engineering
Previous and ongoing course occasions
Type of courseProgram
SemesterSpring 2020: Mar 23 - May 31
Rate of Study100%
Course coordinatorBruce Ferwerda
Tuition fees do NOT apply for EU/EEA citizens or exchange students17498kr