Level of Study
Autumn. First time autumn 2019
Objectives and Content
Error correcting codes enable new applications on higher protocol layers. Among such applications we find efficient distributed storage, coding for low latency transport protocols, private information retrieval, and distributed computation, including secure versions of these applications. The aim of the course is to provide the algebraic foundation for the design of codes for these applications, and to show how the coding schemes can be implemented.
Algebraic codes used in higher layer protocols in the Internet and in storage systems: Distributed Storage Systems, Transport layer coding for single path and multiple path communication, Coding for Private Information Retrieval, Coding for Reduced latency, Coding for Efficient and Secure Distributed Computation, network coding and index coding.
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 have knowledge of
- Information theoretic bounds of achievable efficiency for storage systems and communication systems
- State of the art coding techniques for such systems
The student is able to
- Implement protocols for distributed storage in software
- Implement protocols for Efficient and Secure distributed computation in software
- Implement protocols for Reduced latency transport layer communication in software
- Implement protocols for private information retrieval in software
- Optimize parameters for communication and storage systems according to a diverse set of criteria
- is familiar with new ideas and innovation processes,
- can exchange opinions with others with relevant background and participate in discussions concerning the development of good practice.
Required Previous Knowledge
At least 60 ECTS in Computer Science and at least 10 ECTS in mathematics
Recommended Previous Knowledge
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 4hours/week for 13 weeks
Exercises 2 hours/week
Compulsory Assignments and Attendance
Compulsory assignments are valid for one subsequent semester.
Forms of Assessment
The forms of assessment are:
Written examination or Digital written examination (3 hours). Mandatory assignments may be graded and included in the final grade.
Examination Support Material
Non-programmable calculator, according to the faculty regulations
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 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.
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. Autumn 2020 written exams will be arranged either at home or on campus. Please see course information on MittUiB.
Type of assessment: Written examination
- 07.12.2020, 09:00
- 3 hours
- Withdrawal deadline
- Examination system
- Digital exam