Faculty of Technical Sciences

Subject: Selected chapters of modern methods of collecting and data processing (17.RDI11R)

Native organizations units: No data
General information:
 
Category Scientific-professional
Scientific or art field Proizvodni i uslužni sistemi, organizacija i menadžment
Interdisciplinary No
ECTS 10
Educational goal:

Acquiring deep knowledge in the field of modern methods of data collection, data processing and related technologies

Educational outcome:

Understanding modern methods of data collection and processing, as well as training for the application of acquired knowledge in the development of a system for acquiring and using mass data.

Course content:

Modern systems for the acquisition of mass data variables of the environment. Infrastructure mass data variables of the environment. Data structures for working with environment variables. Separation and understanding of sets of objects of interest described by the aquatic variables of the environment.

Teaching methods:

Lectures, consultations. Through lectures, discussion and interactive computer simulations to monitor the work of students and their progress. Mentoring for specific areas in order to deepen knowledge. Use of modern methods of computer science

Literature:
Authors Title Year Publisher Language
Stefan Dech, Benjamin Leutner, Martin Wegmann Remote Sensing and GIS for Ecologists: Using Open Source Software 2016 Pelagic Publishing English
Thomas Lillesand, Ralph W. Kiefer, Jonathan Chipman Remote Sensing and Image Interpretation , 7th Edition 2015 Wiley English
Hanan Samet Foundations of Multidimensional and Metric Data Structures 2006 Elsevier English
Ian Dowman, Karsten Jacobsen, Gottfried Konecny, Rainer Sandau High Resolution Optical Satellite Imagery 2012 Whittles Publishing English
Dale A. Quattrochi, Qihao Weng Urban Remote Sensing 2006 CRC press English
Muneesawang, Paisarn, Zhang, Ning, Guan, Ling Multimedia Database Retrieval 2014 Springer International Publishing English
Erica Carrick Utsi Ground Penetrating Radar: Theory and Practice 2017 Elsevier Science English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Theoretical part of the exam No Yes 50.00
Project Yes Yes 50.00
Lecturers:
API Image

prof. dr Popov Srđan

Full Professor

Study research work
API Image

prof. dr Popov Srđan

Full Professor

Lectures

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.