DST700 Sensors and sensor networks

Code DST700
Name Sensors and sensor networks
Status Compulsory/Courses of Limited Choice
Level and type Post-graduate Studies, Academic
Field of study Computer Science
Faculty
Academic staff Dmitrijs Bļizņuks
Credit points 4.0 (6.0 ECTS)
Parts 1
Annotation In the study course many kinds technologies and implementations of sensor networks are observed. Special attention was attracted for advanced innovative technologies and implementations (as autonomous control, cognitive platforms, heterogeneous and cluster multilevel sensor networks), research and modeling techniques for architectural and infrastructure development. In the study course content are included sensor network design methods and service oriented architecture realization base topics. There are possibilities for student experimental and technological practice works. It is proposed sensor network control and management techniques which consisted with most popular methods and standards. The students are introduced with wireless sensor network diversity and self organization..
Contents
Content Full- and part-time intramural studies Part time extramural studies
Contact hours Independent work Contact hours Independent work
Introduction sensor networks. 4 4 0 0
Sensor types. 6 6 0 0
Sensor measurements. 6 6 0 0
Signal conversion. 6 6 0 0
Digital signal processing. 6 6 0 0
Data transfer at sensor networks. 6 6 0 0
Data transfer protocols. 6 6 0 0
Transport level infrastructure. 4 4 0 0
Sensor network architecture. 6 6 0 0
Sensor network technology. 6 6 0 0
Sensor network access at TCP/IP networks. 6 6 0 0
Wireless sensor networks. 6 6 0 0
Heterogenous and cluster wireless sensor networks. 6 6 0 0
Security of sensor networks. 6 6 0 0
Total: 80 80 0 0
Goals and objectives
of the course in terms
of competences and skills 		The aim of the study course is to prepare specialists who can use, find and develop solutions that promote the development of various processes rooted in the technology of all types of sensor networks. The tasks of the study course: - to develop the ability to analyse current protocols and choose the most appropriate for each specific task; - to develop the ability to appropriate sensor network architecture for the task; - to develop the ability to create a sensor data processing program for a microcontroller; - to teach how to create the electronic circuit diagram of sensors and microcontrollers.
Learning outcomes
and assessment 		Is able to discuss the basic principles, advantages and limitations of sensor networks, knows the elements of infrastructure and technology life cycles. - Exam.
Is able to argue the need for the utilization (or non utilization) of network technologies depending on the type of production (business) process. - Practical works.
Using appropriate tools, is able to independently use ready-made methods and models to integrate production (business) processes, choosing the most appropriate for them in relation to the chosen goals. - Practical works.
Is able to monitor sensor network technology limitations for controlled industry processes. - Laboratory works.
Evaluation criteria of study results
Practical works - 25%
Laboratory works - 25%
Exam - 50%
 
Course prerequisites Academic (professional) bachelor degree of engineer science, native science or economic science.
Course planning
Part CP ECTS Hours Tests
Lectures Practical Lab. Test Exam Work
1 4.0 6.0 2.0 1.0 1.0 *
[Extended course information PDF]