SylabUZ
Course name | System integration |
Course ID | 11.3-WE-INFD-IntegrSyst-Er |
Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
Field of study | Computer Science |
Education profile | academic |
Level of studies | Second-cycle Erasmus programme |
Beginning semester | winter term 2022/2023 |
Semester | 3 |
ECTS credits to win | 4 |
Course type | optional |
Teaching language | english |
Author of syllabus |
|
The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Lecture | 15 | 1 | - | - | Credit with grade |
Project | 45 | 3 | - | - | Credit with grade |
Object-oriented programming, databases
Monitoring and visualization of conventional and autonomous vehicles:
Tracking vehicles and goods
Introduction to work schedulling of vehicles and machines
IOT Environment: Keep it simple. Manage Everything (KIS.ME)
Lecture: conventional lecture
Project: dedicated project tasks
Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture - positive scores of written tests
Project - positive scores concerning all designated project tasks
Final score composition = lecture: 40% + project: 60%
Gerber A., Craig C.: Android Studio. Wygodne i efektywne tworzenie aplikacji, Helion, Gliwice 2016
Ross E., Ross J.: Unity i C#. Podstawy programowania gier, Helion, Gliwice, 2018
Heidergott, B., Geert Jan Olsder, and Jacob Van Der Woude. Max Plus at work: modeling and analysis of synchronized systems: a course on Max-Plus algebra and its applications. Vol. 48. Princeton University Press, 2014.
Documentation of Next Generation Inertial Measurement Unit: http://x-io.co.uk/ngimu/
Documentation of Openmatics Detagtive: https://aftermarket.zf.com/go/en/openmatics/home/
Modified by prof. dr hab. inż. Marcin Witczak (last modification: 22-04-2022 09:40)