Courses: INF243 Algebraic Coding - Autumn 2019
Credits
10.0ECTS Credits
10
Level of Study
Bachelor/Master/PhD
Full-time/Part-time
Full-time
Language of Instruction
English
Teaching semester
Autumn. First time autumn 2019
Objectives and Content
Objectives:
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.
Content:
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.
Learning Outcomes
Learning Outcomes:
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
Skills.
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
General competence.
The student
- 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
Recommended Previous Knowledge
INF240, MNF130, INF100, MAT121, STAT110 are strongly recommended.
In addition are INF142, INF140, INF101, INF242 recommended.
Credit Reduction due to Course Overlap
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
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.noStudent 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 Information
Student adviser:
mailto:studieveileder@ii.uib.noStudent adviser
T: 55 58 42 00