Faculty of Technical Sciences

Subject: Software support for reverse engineering and CAQ (17.SM3)

Native organizations units: Department of Production Engineering, Chair of Metrology, Quality, Equipment, Tools, and Ecological-Engineering Aspects
General information:
 
Category Theoretical-methodological
Scientific or art field Metrology, Quality, Fixtures and Ecological-Engineering Aspects
ECTS 5

Training of students to model specific applicative software in the area of reverse engineering and computer-aided quality (CAQ).

Ability to apply the available commercial tools for modeling of specific aplicative software in the area of reverse engineering and computer-aided qualty (CAQ).

Software aspects of reverse engineering. Software-tools in the field of 3D digitization. Software-tools in the field of pre-processing the results of 3D digitization - for data-points filtering, data-points smoothing, reducing the data-point, segmentation/registration of data-points. Software-tools for reconstruction of surfaces - i.e. generating CAD models. Software aspects of computer aided inspection (CAI). Software-tools in the field of CAI. Software aspects of computer aided quality (CAQ). Software-tools in the field of software-CAQ. Software tools in the Six Sigma concept.

Lectures are realized interactively through lectures and practical computer classes. In lectures theoretical part is presented with characteristic examples for better understanding of subject content. Computer exercises include application of ICT in gaining knowledge in the field of study. In addition to lectures and exercises consultations are regularly held.

Authors Title Year Publisher Language
Stephen J. Chapman MATLAB Programming for Engineers 2008 Mathworks English
Jack Phan MATLAB - Visual Basic .Net for Engineers 2010 LePhan Publishing English
Course activity Pre-examination Obligations Number of points
Lecture attendance Yes Yes 5.00
Written part of the exam - tasks and theory No Yes 30.00
Term paper Yes Yes 20.00
Oral part of the exam No Yes 20.00
Exercise attendance Yes Yes 5.00
Test Yes Yes 10.00
Test Yes Yes 10.00
API Image

Assoc. Prof. Štrbac Branko

Associate Professor

Lectures
API Image

Assoc. Prof. Štrbac Branko

Associate Professor

Computational classes
API Image

Asst. Prof. Šokac Mario

Assistant Professor

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.