Kaisa_2012_3_photo by Veikko Somerpuro

13.5.2019 at 09:00 - 31.5.2019 at 23:59


Wed 12.6.2019
10:00 - 14:00


Master's Programme in Data Science is responsible for the course.

The course is available to students from other degree programmes but priority will be given to students of the degree programme(s) organising the course.

Prerequisites in terms of knowledge

No knowledge of navigation is required, but basic knowledge of Matlab will be needed

Prerequisites for students in the Data Science programme, in terms of courses


Prerequisites for other students in terms of courses


Recommended preceding courses


The student will learn the basics of navigation using Global Navigation Satellite Systems (GNSS), such as GPS signals, and other navigation technologies, also for indoor navigation.

The student will also get a hands-on training on the GNSS receiver functionalities via a course work assignment.

The course will be taught for the first time in year 2018 overlapping two periods, 2nd and 3rd teaching periods due to the synchronization with University of Vaasa's and Aalto University's schedules.

The course will give basic knowledge of different aspects related to satellite navigation and other technologies used for e.g. indoor navigation. The specific topics are:

  • Introduction to GNSS technologies

  • Next generation GNSS

  • GNSS acquisition

  • GNSS tracking

  • Navigation solution

  • Differential GNSS and SBAS

  • PPP and RTK

  • GNSS and INS

  • GNSS and other location technologies

Lecture notes and other additional material given during the course will provide the required knowledge.

Recommended reading:

GNSS Applications and Methods, by S. Gleason and D. Gebre-Egziabher (Eds.), Artech House Inc., 2009,

GPS: Signals, Measurements and Performance (Second Edition), by P. Misra and P. Enge, Ganga Jamuna Press, 2006, www.gpstextbook.com

Grading scale 1-5. Grading will be based on Exercises (30% of the total grade), Examination (40%), Project assignment (24%), Attendance at / Watching Lectures (6%)

Separate exams last 3 hours and 30 minutes. Renewal exam (marked with "(U)") is the first separate exam after the course and also a renewal exam of course exam(s). In a renewal exam the points student has earned during the course are taken into account. Exams marked with "(HT)" are allowed only to students who have completed the obligatory projects or other exercises included in those courses. Exams marked with "(HT/U)" are renewals to students who have completed the obligatory projects during the course. Separate exams might cover different area than the lectured course. Check the course web page and contact the responsible teacher if in doubt.

The course can be taken as a distance learning course. Lectures are given and broadcasted partly from the University of Vaasa, but a teacher is present in Kumpula at all times. Lectures are recorded and may be watched any time during the course.

The course will be completed via exercises, project assignment and an exam. Extra points will be given for attending / watching the lectures in Moodle.

Associate professor Laura Ruotsalainen