KURSPLAN
Web Personalization, 7,5 högskolepoäng
Web Personalization, 7.5 credits
Kursplan för studenter vår 2021
Kurskod: | TWPS20 |
Fastställd av: | VD 2019-12-01 |
Reviderad av: | Utbildningschef 2020-11-04 |
Gäller fr.o.m.: | 2021-01-01 |
Version: | 2 |
Utbildningsnivå: | Avancerad nivå |
Utbildningsområde: | Tekniska området
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Ämnesgrupp: | DT1
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Fördjupning: | A1F
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Huvudområde: | Informatik |
Lärandemål
After a successful course, the student shall
Kunskap och förståelse
- demonstrate a basic comprehension of psychological theories that can be applied for personalization purposes
- show familiarity with artificial intelligence techniques and algorithms for personalization
- show familiarity with methods and techniques for designing experiments to test psychological theories in personalization contexts
- display knowledge of research trends in the areas relevant for web personalization
Färdighet och förmåga
- demonstrate the ability to create scientific experiments to test web personalization
- demonstrate the ability to apply basic artificial intelligence methods to achieve personalization
Värderingsförmåga och förhållningssätt
- demonstrate an understanding of managing challenges in creating experiments to test the effects of personalization
- demonstrate the ability to discern opportunities between different basic artificial intelligence methods
Innehåll
Web 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.
Undervisningsformer
The course consists of lectures, seminars and assignments with tutoring.
Undervisningen bedrivs på engelska.
Förkunskapskrav
Passed 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.
Examination och betyg
Kursen bedöms med betygen 5, 4, 3 eller Underkänd.
The final grade for the course is based on a balanced set of assessments. The final grade will only be issued after satisfactory completion of all assessments
Poängregistrering av examinationen för kursen sker enligt följande system:
Examinationsmoment | Omfattning | Betyg |
---|
Uppsats | 3 hp | 5/4/3/U |
Inlämningsuppgifter | 3 hp | 5/4/3/U |
Presentation | 1,5 hp | 5/4/3/U |
Kurslitteratur
The litterature list for the course will be provided one month before the course starts.
Articles will be handed out during the course.