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Sensor Physics (5 cr)

Code: TX00EA77-3004

General information


Enrollment
28.11.2022 - 05.03.2023
Registration for the implementation has ended.
Timing
13.03.2023 - 07.05.2023
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of ICT
Campus
Karaportti 2
Teaching languages
English
Seats
0 - 40
Degree programmes
Degree Programme in Information Technology
Teachers
Sakari Lukkarinen
Saana Vallius
Groups
ICT21-SI2
Smart IoT Systems, group 2
Course
TX00EA77

Implementation has 16 reservations. Total duration of reservations is 48 h 0 min.

Time Topic Location
Thu 16.03.2023 time 13:00 - 16:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Fri 17.03.2023 time 09:00 - 12:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Thu 23.03.2023 time 13:00 - 16:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Fri 24.03.2023 time 09:00 - 12:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Thu 30.03.2023 time 13:00 - 16:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Fri 31.03.2023 time 09:00 - 12:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Thu 06.04.2023 time 13:00 - 16:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Tue 11.04.2023 time 13:00 - 16:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME761 Oppimistila
Thu 13.04.2023 time 13:00 - 16:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Fri 14.04.2023 time 09:00 - 12:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Tue 18.04.2023 time 13:00 - 16:00
(3 h 0 min)
Sensor Physics TX00EA77-3003
KME662 Smart IoT -laboratorio
KME659 Oppimistila
Thu 20.04.2023 time 13:00 - 16:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Fri 21.04.2023 time 09:00 - 12:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Thu 27.04.2023 time 13:00 - 16:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Fri 28.04.2023 time 09:00 - 12:00
(3 h 0 min)
Sensor Physics TX00EA77-3004
KME662 Smart IoT -laboratorio
Thu 04.05.2023 time 13:00 - 16:00
(3 h 0 min)
Sensor Physics
KMD550 Oppimistila
Changes to reservations may be possible.

Objective

After completion of this course the student understands how sensors are used to collect information in different environments. The student knows about the electrical and physical properties of common sensors. Additionally, the student learns about various real-life applications of sensors.

Content

- Review of basic electronics
- Sensor characteristics
- Physical principles of sensing
- Interface electronic circuits
- Sensor applications

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Student has achieved the course objectives fairly. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.

Assessment criteria, good (3)

Student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Student is able to define the course concepts and models and is able to justify the analysis. Student is able to apply his/her knowledge in study and work situations. Student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

Student has achieved the objectives of the course with excellent marks. Student masters commendably the course subject area’s concepts and models. Student is able to make justified and fluent analysis and to present concrete development measures. Student is well prepared to apply his/her knowledge in study and work situations. Student is able to analyze expertise in the information and communication technology sector and the development of his/her own expertise.

Assessment criteria, approved/failed

Student has achieved the course objectives fairly. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.

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