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-SI2Smart 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
|
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.