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Postgraduate course

Information Network

ECTS Credits

10

Level of Study

Bachelor/Master/PhD

Full-time/Part-time

Full-time

Teaching semester

Spring. The course is given for the last time spring 2018.

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

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

  • Describe and compare different network models,
  • Apply computational tools to analyze properties of real networks,
  • Simulate adaptive processes running on top of large networks

Required Previous Knowledge

None

Recommended Previous Knowledge

 It will be an advantage with knowledge that is equal to INF142 and INF143

Access to the Course

Access to the course requires admission to a programme of study at The Faculty of Mathematics and Natural Sciences

Teaching and learning methods

Lectures, 4 hours per week

Group exercises, 2 hours per week

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)

Examination Support Material

None

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.

Assessment Semester

Examination both spring semester and autumn semester. In semesters without teaching the examination will be arranged at the beginning of the semester.

Reading List

The reading list will be available within June 1st for the autumn semester and December 1st for the spring semester

Course Evaluation

The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department

Programme Committee

The Programme Committee is responsible for the content, structure and quality of the study programme and courses.

Course Coordinator

Course coordinator and administrative contact person can be found on Mitt UiB, or contact mailto:studieveileder@ii.uib.no Student adviser

Course Administrator

The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.

Contact

Contact Information

Student adviser:

mailto:studieveileder@ii.uib.no Student adviser

T: 55 58 42 00

Exam information

  • For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam. The exam location will be published 14 days prior to the exam.

  • Type of assessment: Written examination

    Date
    07.06.2018, 15:00
    Duration
    3 hours
    Withdrawal deadline
    24.05.2018
    Examination result announcement
    15.06.2018
    Location