Subject » BMEVIAUMB03
Applied Computer Systems Laboratory 2
Rendszer- és alkalmazástechnika labor 2
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
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| Subject name (Hungarian, English) |
Rendszer- és alkalmazástechnika labor 2
Applied Computer Systems Laboratory 2
|
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Subject code | BMEVIAUMB03 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
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| Assessment type | félévközi érdemjegy | ||||||||||||
| Credits | 4 | ||||||||||||
| Subject coordinator |
Dr. Vajk István
position: egyetemi docens
contact:
vajk.istvan@vik.bme.hu
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| Responsible department |
Automatizálási és Alkalmazott Informatikai Tanszék
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| Faculty | Villamosmérnöki és Informatikai Kar | ||||||||||||
| Subject website | — | ||||||||||||
| 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
Programme
Lab Topic
- Practical exercises of the git version control system. Creating remote and local repositories, branches, commits and manipulating them.
- Qt-C++ basics. Understanding the development process of the Qt ecosystem. Creating small example applications.
- Creating QML based user interfaces. Understanding and practicing the declarative UI paradigm.
- Complex Qt-QML exercises. Creating interactive hybrid C++-QML applications.
- Classification with multi-stage processing. Processing of vibration and sound signals using time- and frequency-domain methods, classification based on fuzzy systems and neural networks.
- Complex exercises in the topic of classification based on fuzzy systems and neural networks.
The aim of this course is to provide students with overview of application development process in a modern C++ development environment (Qt/QML) and also in the field of neural networks.
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
The course consists of 6 laboratory exercises (4 hours/session)
Tanulástámogató anyagok
Online források
Laboratory guides on the department website.
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)
–
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)
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General rules
Requirements:
In lecture term:
6 laboratory exercises
In examination period:
none
Pre-exam:none
The credits can be obtained by successfully participating on the laboratory exercises The final grade is calculated based on the grades of laboratory exercises, which are counted from quick tests, in class results and submitted documentation.
Additional possibilities:
One laboratory exercise can be repeated during the semester and the
repeat period in accordance with the Code of Studies and Exams (CSE).
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
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Workload to complete the subject
No workload breakdown provided.
Validity of subject requirements
Requirements valid from:
—
Requirements valid until:
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Curriculum placement
No curriculum placements recorded for this subject version.