NDAK11006U Topics in Algorithms and Data Structures (TADS)
The purpose of this course is to present a set of topics that reflect state-of-the-art research and applications within the design and analysis of algorithms and data structures. Particular topics will change from year to year.
Ask the course-responsible teacher for information on the topics covered in a particular year.
Knowledge of:
- Selected state-of-the-art algorithms and data structures and techniques and paradigms involved in these.
Skills in:
- 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
Comptences to:
- Present technical results to an audience of peers, both orally and in writing
- Recognize the applicability of algorithms and data structures in both theoretical and practical settings
See Absalon when the course is set up.
1. Lectures and weekly exercises.
2. A project where students write a report on a paper that they will later present [this could be something relevant to later Master's thesis work].
3. Seminars where students present their chosen papers. There will be an opponent group for each presentation, and teachers will also ask questions.
- Category
- Hours
- Colloquia
- 10
- Exam
- 1
- Lectures
- 24
- Preparation
- 121
- Project work
- 50
- Total
- 206
As
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Continuing Education - click here!
- Credit
- 7,5 ECTS
- Type of assessment
- Oral examination, 30 minThe oral exam is without preparation. Primarily in the paper chosen by student, but also other parts of the course material.
- Exam registration requirements
A satisfactory report and presentation on the chosen paper.
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
- Re-exam
To be eligble for the reexam a report and presentation on the chosen paper must be approved, no later than two weeks before the re-exam. The re-exam is an oral exam of 30 minutes without preparation.
Criteria for exam assesment
See learning outcome.
Course information
- Language
- English
- Course code
- NDAK11006U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 2
- Schedule
- C
- Course capacity
- No limit
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Computer Science
Course responsibles
- Mikkel Thorup (7-6f766a7174777242666b306d7730666d)