Cancelled Research Topics in Algorithms and Complexity (RTAC)
The purpose of this course is to present a set of topics that reflect state-of-the-art research and applications within algorithms and complexity. Particular topics will change from year to year.
Ask the course-responsible teacher for information on the topics covered in a particular year.
- Selected state-of-the-art algorithmic and complexity results, and techniques and paradigms involved in these.
- Reading state-of-the-art papers related to the topics covered in the course and communicating key ideas in such papers.
- Preparing a report on a research paper.
- Preparing and giving a seminar talk on a research paper.
- Present technical results to an audience of peers, both orally and in writing.
- Recognise the applicability of algorithms and complexity in both theoretical and practical settings.
The course has three components.
1. Lectures and weekly exercises.
2. Seminars - where students present a chosen paper [this could be something relevant to later Master's thesis work]. There will be an opponent group for each presentation, and the teacher will also ask questions.
3. A project - where students write a report on their chosen paper.
See Absalon for a list of course literature.
The students should be comfortable with formal, mathematical
reasoning, as the course uses the power of mathematics to
understand and prove good performance of algorithms. The students
should have had at least one prior MSc-level course in algorithms
Academic qualifications equivalent to a BSc degree is recommended.
This course is identical to NDAK11006U Topics in Algorithms & Data Structures (TADS) and it is not allowed to pass both courses.
Collective feedback is given in groups of 2-3 students.
PhD’s can register for MSc-course by following the same procedure as credit-students, see link above.
- 7,5 ECTS
- Type of assessment
Oral examination, 30 minutes
- Type of assessment details
- Individual oral examination without preparation. The examination is primarily based on the paper chosen by the student, but may include other parts of the course syllabus as well.
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
Criteria for exam assessment
See Learning Outcome.
Single subject courses (day)
- Class Instruction
- Project work
- Course number
- 7,5 ECTS
- Programme level
- Full Degree Master
- Block 2
- No limit
The number of seats may be reduced in the late registration period
- Study Board of Mathematics and Computer Science
- Department of Computer Science
- Faculty of Science
- Mikkel Abrahamsen (4-7c7870714f73783d7a843d737a)
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Courseinformation of students