Subject » BMEVISZMA06
Advanced Mathematics for Electrical Engineers - Combinatorial Optimization
Felsőbb matematika villamosmérnököknek - Kombinatorikus optimalizálás
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
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| Subject name (Hungarian, English) |
Felsőbb matematika villamosmérnököknek - Kombinatorikus optimalizálás
Advanced Mathematics for Electrical Engineers - Combinatorial Optimization
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| Subject code | BMEVISZMA06 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
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| Assessment type | félévközi érdemjegy | ||||||||||||
| Credits | 3 | ||||||||||||
| Subject coordinator |
DR. Szeszlér Dávid
position: egyetemi docens
contact:
szeszler.david@vik.bme.hu
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| Responsible department |
Számítástudományi és Információelméleti Tanszék
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| Faculty | Villamosmérnöki és Informatikai Kar | ||||||||||||
| Subject website | http://cs.bme.hu/combopt/ | ||||||||||||
| Primary curriculum type | — | ||||||||||||
| Direct prerequisites – Strong prerequisite | none | ||||||||||||
| Direct prerequisites – Weak prerequisite | none | ||||||||||||
| Direct prerequisites – Parallel prerequisite | none | ||||||||||||
| Direct prerequisites – Milestone prerequisite | none | ||||||||||||
| Direct prerequisites – Exclusion | none |
Objectives
The subject introduces some areas of operations research and
combinatorial optimization. Besides covering the most relevant
algorithms and methods and their limits, it also aims at giving a
glimpse into some of their engineering applications. Thus the subject
also covers some general algorithmic approaches like linear and integer
programming and matroid theory. Furthermore, the course aims at
extending and deepening the knowledge formerly provided be the
Foundations of Computer Science subject of the BSc degree program in
Electrical Engineering.
Learning outcomes
Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:
Knowledge
No learning outcomes recorded.
Skills
No learning outcomes recorded.
Attitudes
No learning outcomes recorded.
Autonomy and responsibility
No learning outcomes recorded.
Oktatási módszertan
2 hours of lecture and 1 hour of problem solving per week
Tanulástámogató anyagok
Online források
Foulds, L. R. (2012). Combinatorial optimization for undergraduates. Springer Science & Business Media.
Recommended preliminary knowledge for completing the subject
Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
basics of linear algebra, graph theory and algorithms
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
basics of linear algebra, graph theory and algorithms
General rules
Requirements:
There are three midterm tests during the semester. The condition of completing the subject is a result of at least 40% on all three midterm tests. If this condition is met then the final result is computed from the average of the three midterms.
Additional possibilities:
The opportunity to retake all three midterms (either to replace an unsuccessful or missed midterm or to improve the result of a successful one) will be provided during the semester. Besides that, there will be a further chance to retake one unsuccessful or missed test in the week preceding the exam period.
Assessment methods
In-term assessments
No detailed assessments provided.
Weight of in-term assessments
No weights provided.
Exam-period assessments
No detailed assessments provided.
Weight of exam elements
No weights provided.
Grade calculation
No grade thresholds provided.
Attendance requirements
No attendance requirements provided.
Rules for retake and resubmission
Not provided.
Short description
Not provided.
Detailed description
Not provided.
Recommended courses
Not provided.
Workload to complete the subject
No workload breakdown provided.
Validity of subject requirements
Requirements valid from:
—
Requirements valid until:
—
Curriculum placement
No curriculum placements recorded for this subject version.