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Postgraduate course

Information Network

  • ECTS credits10
  • Teaching semesterSpring
  • Course codeINF246
  • Number of semesters1
  • Language English.
  • Resources

Semester of Instruction

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.

Exam information

  • Type of assessment: Oral examination

    Withdrawal deadline
    01.11.2017
  • Type of assessment: Written examination

    Withdrawal deadline
    12.09.2017
    Examination system
    Inspera
    Digital exam