Kurssiesite

Laajuus: 5

Aikataulu: 08.01.2019 - 19.02.2019

Vastuuopettaja (voimassa 01.08.2018-31.07.2020): 

Petri Rönnholm

Kurssin yhteystiedot (koskee tätä kurssikertaa): 

Responsible Teacher: Petri Rönnholm (petri.ronnholm@aalto.fi)

Contact persons for assignments are announced in assignment instructions.

Opetusperiodi (voimassa 01.08.2018-31.07.2020): 

III (spring term)

Osaamistavoitteet (voimassa 01.08.2018-31.07.2020): 

To understand principles of sampling and reconstruction of a signal. To understand and apply Fourier transformation of images. To understand and apply linear space-invariant systems with images. To understand and apply basic digital image processing tasks, such as image restoration, image enhancement, image compression, and image correlation. To understand and apply how edges and interesting points can be extracted from images. To understand segmentation of digital images.

Sisältö (voimassa 01.08.2018-31.07.2020): 

The course gives fundamentals of signal processing focusing on digital images. Mathematical principles of image enhancing and restoration are given. The course also illustrates how areas, breaklines and interesting points, such as corners and centers of circles, can be extracted automatically from images.

Toteutus, työmuodot ja arvosteluperusteet (voimassa 01.08.2018-31.07.2020): 

Examination and assignments

Tarkennetut arviointiperusteet ja -menetelmät ja tutustuminen arviointiin (koskee tätä kurssikertaa): 

To pass the course, you need to have all
assignments accepted, seminar presentation given and examination passed. The final grade is a combination of
assignment, seminar points and examination grade. The maximum points
from assignments is á 30 points, i.e., total of 150 points. This is scaled (no
rounding) to range [0,5]. If the assignment report is returned after the
deadline, the maximum point from that assignment is 12 points (equals to grade
2). Seminar is a group work and it is graded from 0 to 3 points.

The lowest
grade to pass the examination is 15/30 points. If the examination is passed,
seminar points are added to results (valid for one year).

The final
grade is the rounded average of the assignment and examination grades

E.g.
examination = 2, assignments = 4.5, grade = 3.25 -> 3

Examination
= 5, assignments = 3, grade = 4

Työmäärä toteutustavoittain (voimassa 01.08.2018-31.07.2020): 

Lectures (20 h), assignments (50 h), self-study (38 h), preparation for examination + examination (27 h)

Tarkennettu kuormittavuuslaskelma (koskee tätä kurssikertaa): 

Lectures: 20 h

Self-study of lecture contents:
10 h

Assignments and seminar: 78 h

Preparation to examination: 27
h

Total workload: 135 h

Oppimateriaali (voimassa 01.08.2018-31.07.2020): 

Lecture notes and additional literature

Korvaavuudet (voimassa 01.08.2018-31.07.2020): 

Maa-57.3130 Digitaalinen fotogrammetria I (4 op)

Kurssin kotisivu (voimassa 01.08.2018-31.07.2020): 

https://mycourses.aalto.fi/course/search.php?search=GIS-E3020

Arvosteluasteikko (voimassa 01.08.2018-31.07.2020): 

0-5

Kurssin aikataulu (koskee tätä kurssikertaa): 

More accurate timetable is published in the main page.

Opintojakson kuvaus

Ilmoittautuminen ja lisätiedot