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IoT, Sensor Technologies and Performance (3 cr)

Code: C-02467-TI00CW20-3004

General information


Enrollment
22.05.2023 - 15.12.2023
Registration for the implementation has ended.
Timing
02.01.2024 - 09.02.2024
Implementation has ended.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Blended learning
Institution
Häme University of Applied Sciences, Riihimäki
Teaching languages
Finnish
Seats
0 - 45
No reservations found for realization C-02467-TI00CW20-3004!

Evaluation scale

1-5

Content scheduling

Online study. Within the given period the students can individually decide the timing of studying the fundamentals and completing the tasks. Content and time allocation can be seen on the e-learning environment Learn/Moodle. The e-learning environment will be accessible to students who are enrolled and accepted as students.

Objective

Antureiden toimintaperiaatteita ja tekniikoita tarkastellaan sillä tarkkuudella, että opiskelija saa perusteet arvioida havaitsemisen, mittaamisen, tunnistamisen, luokittelun, jne. toteutusmahdollisuuksia eri käyttötilanteissa.

Content

Luodaan katsaus hyvinkin erilaisissa ympäristöissä ja käyttötarkoituksissa käytettäviin anturitekniikoihin ja anturituotteisiin. Suorituskyvyn kannalta tarkastellaan lähemmin muutamia käyttötarkoituksen tai tekniikan perusteella ajankohtaisia anturityyppejä. Antureiden liittämistä digitaalisiin järjestelmiin ja anturitiedon käsittelyä digitaalisissa järjestelmissä käsitellään esimerkkien avulla. Esimerkeissä tulkitaan ja muokataan eri ohjelmointikielillä kirjoitettuja toimintoja. Aikaisempi ohjelmointiosaaminen ei kuitenkaan ole välttämätöntä.

Location and time

Online study. Within the given period the students can individually decide the timing of studying the fundamentals and completing the tasks.

Materials

Will be published as online material. The assignment instructions include original system, software and service documentation.

Teaching methods

The operation and performance of various sensor types will be studied on material published as e-learning documents. The exercises include development tasks, sensor module selection and even mathematical tasks related to performance. The development tools used for various tasks are so called online tools and will not require installations on computer.

Employer connections

This short course implementation does not include training in industry. The technologies studied are those which are common and contemporary in working life.

Exam schedules

Several small exams needs to be passed during the course implementation.

Pedagogic approaches and sustainable development

No international activities involved.

Completion alternatives

Can be agreed with the teacher and the head of study program.

Student workload

It is possible for the students to plan individual time schedule within the given time period.

Evaluation methods and criteria

There are automatically evaluated tasks where the points gained from completed tasks will be visible for the student just after task completion. There are individually evaluated reports which will be evaluated at the end of the course period. The evaluation is based on points awarded in the exercise tasks.

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