Level of Study
Bachelor / Master / PhD
Objectives and Content
The aim of the course is to provide a basis for advanced courses in coding theory and cryptography, as well as for a master project in these areas.
The course covers a collection of concepts and theoretical results, bounds, and techniques essential for carrying out advanced studies and research in the areas of coding theory and cryptology. Among these topics are
- Finite fields with applications to design of error correcting codes and to cryptographic primitives
- Solving equations over finite fields
- Polynomials over finite fields, and connections to linear feedback shift registers
- Boolean functions with applications in cryptography and coding theory
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
- finite fields theory used in cryptography and coding theory, including linear feedback shift registers,
- Boolean functions and their applications to cryptography,
- basics of linear recurrent sequences and feedback shift registers,
- basics of linear and cyclic codes, including well known families of error correcting codes as covered by the course.
The student is able to
- create computer programs using the concepts, data structures, and algorithms covered in the course
- explain and create proofs in coding theory and cryptography
- are familiar with mathematical foundations for cryptography and coding theory,
- can exchange opinions with others with relevant background and participate in discussions concerning the subject.
Required Previous Knowledge
At least 60 ECTS in computer science, preferably including basic knowledge in discrete mathematics
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
I145: 10 SP
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
The teaching comprises of lectures and group exercises.
Lectures: 4 hours pr. week for 13 weeks
Group exercises: 2 hours pr. week
Compulsory Assignments and Attendance
Compulsory assignments are valid for one subsequent semester.
Forms of Assessment
Written examination or Digital written examination (3 hours).
Compulsory exercises may count towards 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 reading list will be available within June 1st for the autumn semester and January 1st for the spring semester
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. The exam location will be published 14 days prior to the exam. Candidates must check their room allocation on Studentweb 3 days prior to the exam.
Type of assessment: Written examination
- 15.02.2019, 09:00
- 3 hours
- Withdrawal deadline
- Examination result announcement
- Solheimsgt. 18 (Administrasjonsbygget), Eksamenslokale 2. etg.