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Applied Computer Systems Laboratory 1

Rendszer- és alkalmazástechnika labor 1
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
Subject name (Hungarian, English)
Rendszer- és alkalmazástechnika labor 1
Applied Computer Systems Laboratory 1
Subject code BMEVIAUMA11
Subject type
Training Level
Course types and hours (weekly/semester)
Course type lecture tutorial laboratory
hours (weekly) 0 0 3
type (linked/independent) autonomous course
Assessment type félévközi érdemjegy
Credits 4
Subject coordinator
Dr. Vajk István
position: egyetemi docens
Responsible department
Automatizálási és Alkalmazott Informatikai Tanszék
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

1. 2D image processing (week 2)

The studentsare getting familiar with the 2D image processing using the OpenCV library.

2. 3D image processing (week 3)

The studentsare getting familiar with the 3D image processing using the OpenCV library.

3. Implementing processor functional blocks inFPGA (week 4-6)

Thestudents are implementing different simple processor functional blocks in FPGAusing Verilog language (multipliers, dividers, etc.).

4. Implementing a graphical display controller in FPGA (week 4-6)

Thestudents are implementing different basic graphical functions on FPGA usingVerilog language (synchronization signals, coloring, drawing line, ellipse, rectangle,etc.).

5. Implementing and measuring USB communication(week 4-6)

Thestudents are getting familiar with the different transfer modes of the USB communication(control, interrupt, isochronous, bulk).

6. Implementing and measuring parallel algorithmson Zybo platform (week 7-10)

Thestudents are implementing different 2D image processing algorithms(lightening/darkening, convolutional filter, median filter, etc.) on the Zyboplatform, using different level of hardware support.

7. Using the FreeRTOS operating system (week10-14)

The studentsare getting familiar with the most commonly used task synchronizationmechanisms and the possible usage scenarios of the FreeRTOS operating system.

8. Driver development on embedded Linux systems(week 10-14)

Thestudents are developing drivers for a Raspberry Pi extension card (push buttons,digital potentiometer, SPI LCD, etc.).

9. Application development on embedded Linuxsystems (week 10-14)

Thestudents are getting familiar with the basics of software development for the RaspberryPi platform (CGI shell script, PHP based website, PHP web-service).

10. Using the QNX operating system on ARM basedsystems (week 10-14)

Thestudents are getting familiar with the configuration, installation and possibleusage possibilities of the QNX operating system.


No objectives provided.

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 courseconsist of 10 laboratory exercises and a short introduction at the start of thesemester  

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)
General rules
Requirements: In lecture term: 10 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: Two laboratory exercises 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
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.