Subject » BMEVIAUAC16
Data-Driven Software Development Lab
Adatvezérelt szoftverfejlesztés labor
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
—
| Subject name (Hungarian, English) |
Adatvezérelt szoftverfejlesztés labor
Data-Driven Software Development Lab
|
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Subject code | BMEVIAUAC16 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
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| Assessment type | félévközi érdemjegy | ||||||||||||
| Credits | 3 | ||||||||||||
| Subject coordinator |
DR. Kovács Tibor
position: egyetemi docens
contact:
kovacs.tibor@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
The topics are the following:
- Microsoft SQL Server
- MongoDB
- Query optimization
- Entity Framework
- Reporting
- Multitier applications using REST
The goal of this course is to give a practical knowledge to the materials learned during Data-driven Systems.
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
Laboratory
Tanulástámogató anyagok
Not provided.
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)
Mandatory: Data-Driven Systems
Recommended: Software techniques, Databases
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)
Mandatory: Data-Driven Systems
Recommended: Software techniques, Databases
General rules
Requirements:
During the semester
- Preparation before the classes, activity during the measurements and documenting the measurements
- The measurement materials (e.g. reports) must be sent to the instructor within one week following the measurement
- All measurements are evaluated separately and a grade is given for them. At least 6 of the 7 measurements must have a grade >=2. The final grade is the avarage of the 7 grade.
In the exam period:
None
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
Software technology, Software techniques, Databases, Software techniques
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.