Course detail
Sensorics and Elements of Artificial Intelligence
FSI-GSE-A Acad. year: 2018/2019 Winter semester
Fundamentals of electrical quantities measurement, data processing. Sensors fundamentals, selection, utilization and characteristics of sensors: temperature, proximity, position, velocity and acceleration; force, torque, mass, pressure and flow. Selection of control systems, DAQ, signal conditioning, communication busses, SMART sensors and complex sensors systems.
Language of instruction
English
Number of ECTS credits
6
Supervisor
Department
Learning outcomes of the course unit
Measurement fundamentals, signal processing methods (DAQ) and sensors overview based on various physical principles and sensors applications in practice. Introduction to modern sensor trends, sensor fusion and integration, artificial intelligence methods.
Prerequisites
Theoretical knowledge about control, design of control systems and electronics fundamentals.
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline. Teaching is suplemented by practical laboratory work.
Assesment methods and criteria linked to learning outcomes
Course credit award requirements: active participation in laboratories, elaboration and commit of laboratory reports. Examinations: written and oral, classified by ECTS.
Aims
Theoretical fundamentals and practical know-how of applied sensorics. Sensor applications are pointed to automation and mechatronics. Acquired knowledge enables students to integrate into realisation teams solving system development, projection and production of intelligent systems and interdisciplinary tasks in engineering practice.
Specification of controlled education, way of implementation and compensation for absences
Attendance at lectures is recommended, attendance at seminars is monitored. Maximally two absence are compensated by individual missing laboratory reports working out.
The study programmes with the given course
Programme M2I-Z: Mechanical Engineering, Master's
branch M-STI: Mechanical Engineering, recommended course
Type of course unit
Lecture
26 hours, optionally
Teacher / Lecturer
Syllabus
1. Introduction, basic terminology and general characteristic of sensors
2. Sensor modelling and identification
3. Methods of sensor connection – analog connections
4. Methods of sensor connection – digital interfaces
5. Principles of SMART sensors
6. Integrated and MEMS sensors
7. Sensors for electrical quantities measurement
9. Sensors for positions, velocity and acceleration measurement
10. Sensors for pressure, tension, force and torque measurement
11. Sensors for flow, flow rate and mass measurement
12. Sensors for level, density and viscosity measurement
13. Special sensors