Courses: INF246 Information Network - Autumn 2017
Language of Instruction
English.
Teaching semester
Irregular. Note: the course has limited capacity
Objectives and Content
The course introduces mathematical theory, agent-based simulation tools, and interactive visualization software to analyze technological networks, particularly the Internet. Topics covered are random graphs, small-world networks, and the preferential attachment model; cellular automata models; computer algorithms to evaluate network properties; and experimental studies of technological networks.
Learning Outcomes
After completing the course, the students should be able to:
- Describe and compare different network models,
- Apply computational tools to analyze properties of real networks,
- Simulate adaptive processes running on top of large networks
Recommended Previous Knowledge
It will be an advantage with knowledge that is equal to INF142 and INF143
Compulsory Assignments and Attendance
Compulsory assignments. The assignments are valid for two terms, the semester the assignments are approved, and the following
Forms of Assessment
Oral examination.
Compulsory assignments can be graded contributing to the final grade.
If there are many participants, it may be a written exam (3 hours)
No legal aids.
Grading Scale
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.