UNIK4720 – Tillits- og omdømmesystemer
Course content
This course introduces principles and methods for modeling, establishing and analyzing trust and reputation in electronic environments.
In particular it will cover:
• Semantics of trust and reputation
• Models and metrics for trust and reputation
• Sources of trust and reputation
• Properties of trust and reputation systems
• Relation to information security
• Relation to recommender systems
• Architectures and algorithms
• Computational engines
• Applications of trust and reputation systems
• Robustness issues
Learning outcome
Students shall understand the role that trust and reputation play in electronic environments. Various commercial systems will be studied and analyzed with regard to effectiveness, usability and robustness. Students shall learn how to design adequate trust and reputation systems for various application domains, as a function of context and requirements. Students will get a deep understanding of Bayesian reputation systems and of computational trust models based on subjective logic. Students shall be able to build and analyze trust models for realistic situations.
Admission
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Prerequisites
Formal prerequisite knowledge
Ingen obligatoriske forkunnskaper.
Recommended previous knowledge
To follow this course efficiently it is recommended that students have done MAT1030 – Discrete mathematics (discontinued) or equivalent.
Teaching
Access to teaching
A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.
Examination
The evaluation consists of three parts:
- presentation of an article (counts for 30 %)
- submission of an essay or project paper (counts for 30 %)
- final written or oral examination (counts for 40 %)
All parts of the evaluation must be passed, and they must be passed within the same semester.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Explanations and appeals
Resit an examination
This course offers both postponed and resit of examination. Read more:
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.