Lecturers: Petri Rönnholm, Jussi Nikender, Sami El-Mahgary

Because of COVID-19 situation both lectures and assignments are implemented remotely. Some lectures will be online webinars and some pre-recorded video lectures. The implementation style will be announced here before the lecture.

Lectures

L1. Tue 14.9., 10-12, Introduction (Petri), online webinar (no recording)

L2. Thu 16.9., 10-12, Convolution and interpolation with regular data, pre-recorded video lecture (Petri)

L3. Tue 21.9., 10-12, Correlation and spatial autocorrelation, pre-recorded video lecture (Petri)

L4. Thu 23.9., 10-12, Statistics and spatial statistics, pre-recorded video lecture (Petri)

L5. Tue 28.9., 10-12, Clustering and classification, pre-recorded video lecture (Petri)

L6. Thu 30.9., 10-12, Spatial data structures, pre-recorded video lecture (Jussi)

L7. Tue 5.10., 10-12, Computational geometry, pre-recorded video lecture (Jussi)

L8. Thu 7.10., 10-12, Spatial decision making tools, pre-recorded video lecture (Petri)

L9. Tue 12.10., 10-12, Spatial quality and uncertainty, pre-recorded video lecture (Petri)

L10. Thu 14.10., 10-12, Storing and handling spatial data, pre-recorded video lecture (Sami)

Tue 19.10 No lecture

Lecture examination: Thu 21.10., 9-12, no registration needed, remote examination in MyCourses


Assignments:

Creation of orthophotos with Matlab (programming), DL 1.10. (Relates to lectures 1 and 2. Average workload estimate 10 h)

Spatial statistic in R (scripting), DL 8.10. (Relates to lectures 3 and 4. Average workload estimate 6 h)

Basics of geoinformatics with a pen and paper, DL 18.10. (Relates to lectures 1, 3, 6,  and 7. Average workload estimate 5 h)

Implementation of k-nn and kmeans classification algorithms (in R, programming), DL 18.10.  (Relates to lecture 5. Average workload estimate 20 h, allocate enough time for this assignment)

(Both Matlab and R programming are needed also in other courses in the Master’s programme in Geoinformatics)

All assignments have an email support. Do not hesitate to ask for help if you face problems.


Two bonus points to the exam is given for those who submit all (acceptable) reports in time (only if the examination is passed 15/30 points)

Viimeksi muutettu: maanantaina 27. syyskuuta 2021, 18.16