Kaisa_2012_3_photo by Veikko Somerpuro

Enrol
8.10.2018 at 09:00 - 15.2.2019 at 23:59

Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Fri 30.11.2018
13:15 - 15:00
Fri 7.12.2018
13:15 - 15:00
Fri 14.12.2018
13:15 - 15:00
Fri 1.2.2019
13:15 - 15:00
Fri 15.2.2019
13:15 - 15:00

Other teaching

30.11. - 14.12.2018 Fri 13.15-15.00
01.02.2019 Fri 13.15-15.00
15.02.2019 Fri 13.15-15.00
Laura Ruotsalainen
Teaching language: English

Description

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

None

Prerequisites for other students in terms of courses

None

Recommended preceding courses

None

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%)

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