UAS Principles, Data Modeling and Analysis
Dates & timetable:
To be announced soon!
Description:
Digital space has evolved from pixelated representations of real-world objects to exact photorealistic digital copies. The methods to create digital objects and scenery has evolved as well. To design a single realistic digital object of life-like quality often requires hours and hours of modeling and texturing. What if there was another way? What if the object could instead be scanned into the computer, capturing its exact shape and texture? Data Modeling helps to solve complex problems and affects all aspects of life. This course will equip students with knowledge and operational tools in order to develop their professional career in UAS Principles and Data Modeling and Analysis.
Learning Outcomes:
- Demonstrate knwoledge on operating a UAS and flying procedures, data expectancy and analysing by specific tools.
- Identify UAS pre-flight requirements, designing the UAS flight planning, identifying steps about UAS data acquisition.
Sustainable development goals:
- SDG4: Quality education
- SDG9: Industry, Innovation and Infrastructure
- SDG11: Sustainable cities and communities
- SDG15: Life on land
Sector:
Smart
Thematic area:
Sustainable IT
HASHTAGS/KEY WORDS:
#drones #images #infrastructure #design
Volume (ECTS):
1
Language:
English
Hard skills:
Technology use Technological literacy
Soft skills:
Analytical thinking Curiosity
Study format:
Online
Study methods:
Lectures case studies discussions tutorials presentations
Hours
Synchronous contact hours: 10
Asynchronous hours & self directed learning: 15
Entry requirements:
Communication in English at a B2 level.
Assessment:
Independent research, quizzes,
team presentations, group project
Provider:
Technical University of Civil
Engineering Bucharest
Stage of accreditation:
Part of a Bachelor
program accredited by UTCB and by
Romanian Agency for Quality Assurance in
Higher Education (ARACIS)
