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.
- Selected state-of-the-art algorithms and data structures 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 data structures in both theoretical and practical settings.
See Absalon for a list of course literature.
Academic qualifications equivalent to a BSc degree is recommended.
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.
- Class Instruction
- Project work
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 minutesIndividual 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.
- Exam registration requirements
Approved report and presentation on the chosen paper.
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
Same as the ordinary exam.
If the student is not yet qualified for the exam, then qualification for the re-exam can be achieved by submitting a report on the chosen paper. The report must be submitted and approved no later than two weeks before the re-exam.
Criteria for exam assesment
See Learning Outcome.
- Course code
- 7,5 ECTS
- Full Degree Master
- 1 block
- Block 2
- Course capacity
- No limit
- Course is also available as continuing and professional education
- Study board
- Study Board of Mathematics and Computer Science
- Department of Computer Science
- Faculty of Science
- Danupon Na Nongkai (3-69737345696e33707a336970)