Syllabus for |
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| TDA251 - Algorithms, advanced course |
| Algoritmer, fortsättningskurs |
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| Syllabus adopted 2019-02-08 by Head of Programme (or corresponding) |
| Owner: MPALG |
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7,5 Credits
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| Grading: TH - Five, Four, Three, Fail |
| Education cycle: Second-cycle |
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Major subject: Computer Science and Engineering, Information Technology
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Department: 37 - COMPUTER SCIENCE AND ENGINEERING
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The course is full. For waiting list, please contact the director of studies: lars.nordlund@chalmers.se
Teaching language: English
Application code: 02137
Open for exchange students: Yes
Block schedule:
C
Maximum participants: 85
Only students with the course round in the programme plan
| Module |
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Credit distribution |
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Examination dates |
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Sp1 |
Sp2 |
Sp3 |
Sp4 |
Summer course |
No Sp |
| 0107 |
Project |
7,5 c |
Grading: TH |
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7,5 c
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In programs
MPALG COMPUTER SCIENCE - ALGORITHMS, LANGUAGES AND LOGIC, MSC PROGR, Year 1 (compulsory elective)
MPALG COMPUTER SCIENCE - ALGORITHMS, LANGUAGES AND LOGIC, MSC PROGR, Year 2 (elective)
MPCAS COMPLEX ADAPTIVE SYSTEMS, MSC PROGR, Year 1 (compulsory elective)
MPCAS COMPLEX ADAPTIVE SYSTEMS, MSC PROGR, Year 2 (elective)
MPSYS SYSTEMS, CONTROL AND MECHATRONICS, MSC PROGR, Year 2 (elective)
MPCSN COMPUTER SYSTEMS AND NETWORKS, MSC PROGR, Year 1 (elective)
MPCSN COMPUTER SYSTEMS AND NETWORKS, MSC PROGR, Year 2 (elective)
MPSOF SOFTWARE ENGINEERING AND TECHNOLOGY, MSC PROGR, Year 2 (elective)
MPDSC DATA SCIENCE AND AI, MSC PROGR, Year 1 (elective)
Examiner:
Peter Damaschke
Go to Course Homepage
Replaces
TDA250
Algorithms, advanced course
Eligibility:
In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement:
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.
Course specific prerequisites
The course TIN093 Algorithms or equivalent is required.
Aim
The course provides advanced techniques in the design and analysis of algorithms. It continues in the spirit of the first Algorithms course and maintains a rigorous analytical style. The course goes deeper into specialized topics in algorithms. At some points it may even touch on frontiers of current research.
Learning outcomes (after completion of the course the student should be able to)
- know in more depth some important design and analysis techniques for algorithms, in particular, ways to approach NP-complete problems
- to some extent be able to apply such techniques to solve new problems that may arise in various applications
- have some practice in recognizing connections between algorithmic problems and reducing them to each other
- be able to explain more complex algorithms and proofs in written form
- know selected topics of current research on algorithms
Content
- approximation algorithms and their analysis, approximation schemes,
- use of linear programming, in particular for approximation,
- network flow with some complex applications,
- randomized algorithms and their analysis by appropriate random variables,
- helpful input structures like tree structures and input parameters
Organisation
Lectures and hand-in exercises.
Literature
See separate literature list.
Examination including compulsory elements
Exam, consisting of hand-in exercises and a final take-home exam.