ResearchTrack with thesis 01-23-2012 / Non-research track without thesis 2012-13-23-01
Head of the program: Prof. Anna Brook
The program focuses on deepening methodological knowledge for collecting and analyzing spatial information using advanced technologies. The curriculum is rich in content and provides knowledge and tools both in terms of the theoretical basis and in terms of the applications themselves. The program focusses on providing knowledge about and use of different and innovative methods for collecting data using satellites, drones, smart phones, from the entire electromagnetic spectrum (visible light, near infrared, thermal and lidar). It includes different approaches to data processing and analysis using GIS platforms and spatial/dynamic models.
The courses are held on one day per week - Mondays
Duration of studies in the research track (with a thesis) - up to 3 years.
Duration of studies in the non-research track (without a thesis) - one year (3 semesters).
The curriculum
Core courses (required)
Image processing - 2 semester credits per week
Matlab basics - 2 semester credits per week
Seismic decoding - 2 semester credits per week
Python for beginners (expert) - 2 semester credits per week
Total core courses, 8 semester credits per week
Additional required courses
Spatial statistics - 4 semester credits per week
Advanced remote sensing and machine learning - 4 semester credits per week
Geographic Information Systems (in English) - 4 semester credits per week
Final project - 4 semester credits per week (must choose - machine learning or GIS)
*Research organization (for research track only) - 2 semester credits per week
Total compulsory courses, 16/18 weekly semester credits
Elective courses
Three-dimensional analysis in GIS - 2 semester credits per week
Decision support systems - 2 semester credits per week
Matlab applications - 2 semester credits per week
Ecosystem services (given remotely in English) - 2 semester credits per week
Spatial statistics - 4 semester credits per week
Advanced Python - 2 semester credits per week
Earth, water and fire - modeling the space in the raster world - 4 semester credits per week
Sensory data fusion - 4 semester credits per week
Total elective courses, 12 semester credits per week
Research Track - 36 credits (thesis)
Non-research Track - 36 credits (without thesis)