Level of Study
Objectives and Content
What is information? The course deals with measures of information content of digital symbols and sequences of symbols. Based on Shannon's information theoretical framework, an introduction to the fundamental principles behind data compression, error-correcting codes, and cryptography is given. In the course we also consider how information theory can be applied to computer networks.
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
The student should be able to:
- Explain the concepts of entropy and mutual information.
- Understand how information can be represented in an efficient manner.
- Explain how information theory can be applied to multiple-access channels, broadcast channels, and to general networks.
- Explain information-theoretic aspects of data security.
The student should be able to:
- Determine the channel capacity of a discrete memoryless point-to-point channel with given parameters.
- Implement source coding algorithms for simple sources and sources with memory.
- has a good understanding of the field of information theory.
Required Previous Knowledge
INF100 or equivalent.
MNF130 or equivalent (can be taken same semester).
Recommended Previous Knowledge
Basic knowledge of statistics and combinatorics.
Credit Reduction due to Course Overlap
I144: 10 ECTS
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
Ordinary lectures: 4 hours per week, 13 weeks.
Exercises: 2 hours per week, 13 weeks.
Compulsory Assignments and Attendance
Compulsory assignments are valid two semesters, the semester of the approval and the following semester.
Forms of Assessment
3 hours written exam. It is opportunity for grades on exercises, which can be included in the final grade. If less than 20 students are taking the course, it can be oral exam.
Examination Support Material
Students who have been admitted to a program of study at the University of Bergen that includes access to this course are eligible to register. For information about admission requirements see Admission.
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Examination both spring semester and autumn semester. In semesters without teaching the examination will be arranged at the beginning of the semester.
The reading list will be available within June 1st for the autumn semester and December 1st for the spring semester
The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department.
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course coordinator and administrative contact person can be found on Mitt UiB, or contact mailto:email@example.com Student adviser
The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.
mailto:firstname.lastname@example.org Student adviser
T: 55 58 42 00
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
- 06.06.2018, 15:00
- 3 hours
- Withdrawal deadline
- Solheimsgt. 18 (Administrasjonsbygget), Eksamenslokale 2. etg.