TWPR21 - Web Personalisation

Course Code:	TWPR21
Confirmed:	Jan 20, 2022
Valid From:	Aug 31, 2026

Education Cycle:	Second-cycle level
Disciplinary domain:	Technology
Subject group:	Computer Technology
Specialised in:	A1N Second cycle, has only first-cycle course/s as entry requirements
Main field of study:	Informatics

Intended Learning Outcomes (ILO)

On completion of the course the student shall:

Knowledge and understanding

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

Skills and abilities

demonstrate the ability to create scientific experiments to test web personalization
demonstrate the ability to apply basic artificial intelligence methods to achieve personalization

Judgement and approach

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

Content

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.

Type of instruction

The course consists of lectures, seminars and assignments with tutoring.

Language of instruction is English.

Entry requirements

The applicant must hold the minimum of a bachelor’s degree (i.e the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits in Informatics, Computer Engineering, Computer Science or equivalent. Proof of English proficiency is required.

Examination and grades

The course is graded 5, 4, 3 or U.

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

Registration of examination:

Name of the Test	Value	Grading
Term paper	3 credits	5/4/3/U
Assignments	3 credits	5/4/3/U
Presentation	1.5 credits	5/4/3/U

COURSE SYLLABUS