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Foundation Geographical Information Science (GIScience)
Course description sheet

Basic information

Field of study
Geospatial Computer Science
Major
Remote Sensing and GIS
Organisational unit
Faculty of Geo-Data Science, Geodesy, and Environmental Engineering
Study level
Second-cycle (engineer) programme
Form of study
Full-time studies
Profile
General academic
Didactic cycle
2024/2025
Course code
DGEITGS.IIi1.07199.24
Lecture languages
English
Mandatoriness
Obligatory
Block
Major Modules
Course related to scientific research
Yes
Course coordinator
Beata Hejmanowska
Lecturer
Wojciech Drzewiecki
Period
Semester 1
Method of verification of the learning outcomes
Completing the classes
Activities and hours
Lectures: 15
Project classes: 30
Number of ECTS credits
3

Course's learning outcomes

Code Outcomes in terms of Learning outcomes prescribed to a field of study Methods of verification
Knowledge – Student knows and understands:
W1 backgrounds of GIScience GEI2A_W01 Essay
Skills – Student can:
U1 integrate GIS with cross information from varius domains GEI2A_U07, GEI2A_U08 Execution of a project
Social competences – Student is ready to:
K1 apply GIScience in other sciences GEI2A_K02, GEI2A_K03 Execution of a project
K2 apply the fit-to-use solutions in GIS GEI2A_K03 Activity during classes

Student workload

Activity form Average amount of hours* needed to complete each activity form
Lectures 15
Project classes 30
Realization of independently performed tasks 28
Contact hours 2
Student workload
Hours
75
Workload involving teacher
Hours
45

* hour means 45 minutes

Program content

No. Program content Course's learning outcomes Activities
1. GIScience: Definition of GIScience as a subset of information science, as the systematic study accordning to scientific principles of the nature and properties of information (geopgraphical information). Understanding GIS as Geographical Information System, and Geographical Information Science. Interaction between GIScience, individuals and society. Re-examines some of the most fundamental themes in traditional spatially oriented fields such as geography, cartography, and geodesy, while incorporating more recent developments in cognitive and information science, (Duckman et. al 2004). W1, U1, K1, K2 Lectures
2. Crowdsourcing Spatial Thinking Resources across Disciplines: Students preparing project concerning crowdsourcing spatial thinking across disciplines. W1, U1, K1, K2 Project classes
3. Crowdsourcing Spatial Thinking Resources across Disciplines: Students preparing project concerning crowdsourcing spatial thinking across disciplines. W1, U1, K1, K2 Project classes

Extended information/Additional elements

Teaching methods and techniques :

Team Based Learning, E-learning, Discussion, Lectures

Activities Methods of verification Credit conditions
Lectures Activity during classes, Execution of a project, Essay
Project classes Activity during classes, Execution of a project, Essay

Rules of participation in given classes, indicating whether student presence at the lecture is obligatory

Lectures: Studenci uczestniczą w zajęciach poznając kolejne treści nauczania zgodnie z syllabusem przedmiotu. Studenci winni na bieżąco zadawać pytania i wyjaśniać wątpliwości. Rejestracja audiowizualna wykładu wymaga zgody prowadzącego. Project classes: Studenci wykonują prace praktyczne mające na celu uzyskanie kompetencji zakładanych przez syllabus. Ocenie podlega sposób wykonania projektu oraz efekt końcowy.

Literature

Obligatory
  1. Duckham M., Goodchild M. F., Worboys M.F. 2004 - Foundations of Geographic Information Science, CRC Press. ISBN 9780203009543

Scientific research and publications

Publications
  1. E.Głowienka, K.Michałowska, P.Opaliński, B.HEJMANOWSKA, S.MIKRUT, P.KRAMARCZYK - 2017:
  2. Use of LIDAR data in the 3D/4D analyses of the Krakow fortress objects, IOP Conference Series: Materials Science and Engineering