Skip to main content

Hardware 2 (15 cr)

Code: TX00EW78-3006

General information


Enrollment
12.04.2023 - 20.08.2023
Registration for the implementation has ended.
Timing
23.10.2023 - 17.12.2023
Implementation has ended.
Number of ECTS credits allocated
15 cr
Local portion
15 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of ICT
Campus
Karaportti 2
Teaching languages
Finnish
Seats
0 - 35
Degree programmes
Information and Communication Technology

Implementation has 59 reservations. Total duration of reservations is 166 h 15 min.

Time Topic Location
Mon 23.10.2023 time 13:00 - 14:30
(1 h 30 min)
Pääaineinfo (etä, ZOOM): periaatteet ja aikataulu

Tue 24.10.2023 time 09:15 - 12:00
(2 h 45 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 24.10.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 25.10.2023 time 09:15 - 12:00
(2 h 45 min)
Fysiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 25.10.2023 time 13:00 - 16:00
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Thu 26.10.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Fri 27.10.2023 time 09:15 - 12:15
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Fri 27.10.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 31.10.2023 time 09:15 - 12:00
(2 h 45 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 31.10.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 01.11.2023 time 09:15 - 12:00
(2 h 45 min)
Fysiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 01.11.2023 time 13:00 - 16:00
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Thu 02.11.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
Etäopetus
Fri 03.11.2023 time 09:15 - 12:15
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Fri 03.11.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 07.11.2023 time 09:15 - 12:00
(2 h 45 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 07.11.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 08.11.2023 time 09:15 - 12:00
(2 h 45 min)
Fysiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 08.11.2023 time 13:00 - 16:00
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3006 ZOOM
Thu 09.11.2023 time 09:00 - 11:30
(2 h 30 min)
Laitteisto 2 TX00EW78-3006
Etäopetus
Fri 10.11.2023 time 09:15 - 12:15
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Fri 10.11.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 14.11.2023 time 09:15 - 11:30
(2 h 15 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 14.11.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 15.11.2023 time 09:15 - 12:00
(2 h 45 min)
Fysiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 15.11.2023 time 13:00 - 15:30
(2 h 30 min)
Englanti: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Thu 16.11.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
Etäopetus
Fri 17.11.2023 time 09:15 - 12:15
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Fri 17.11.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 21.11.2023 time 09:15 - 12:00
(2 h 45 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 21.11.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 22.11.2023 time 09:15 - 12:00
(2 h 45 min)
Fysiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 22.11.2023 time 12:30 - 15:30
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Thu 23.11.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
Etäopetus
Fri 24.11.2023 time 09:15 - 12:15
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Fri 24.11.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 28.11.2023 time 09:15 - 12:00
(2 h 45 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 28.11.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 29.11.2023 time 09:15 - 12:00
(2 h 45 min)
Fysiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 29.11.2023 time 12:30 - 15:30
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3006 ZOOM
Thu 30.11.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
Etäopetus
Fri 01.12.2023 time 09:15 - 12:15
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Fri 01.12.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Mon 04.12.2023 time 12:00 - 15:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD550 Oppimistila
Mon 04.12.2023 time 17:00 - 18:00
(1 h 0 min)
Harjoitteluinfo (etänä)
Tue 05.12.2023 time 09:15 - 12:00
(2 h 45 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 05.12.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Thu 07.12.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
Etäopetus
Fri 08.12.2023 time 09:15 - 12:15
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Fri 08.12.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Tue 12.12.2023 time 09:15 - 12:00
(2 h 45 min)
Laitteisto 2 Projektin loppuesitykset
KMD751 Oppimistila
Tue 12.12.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Wed 13.12.2023 time 09:15 - 12:00
(2 h 45 min)
Fysiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Fri 15.12.2023 time 09:15 - 12:15
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Fri 15.12.2023 time 13:00 - 15:30
(2 h 30 min)
Laitteisto 2 Electronics Exam
KME659 Oppimistila
Fri 15.12.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Mon 18.12.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto Digital Resit Exam
KME659 Oppimistila
Mon 18.12.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3006
KMD751 Oppimistila
Thu 07.03.2024 time 16:00 - 17:30
(1 h 30 min)
Laitteisto 2 TX00EW78-3006, Ohjelmisto 2 TX00EW76-3009, Ohjelmisto 2 TX00EW76-3012
KMD757 Oppimistila
Changes to reservations may be possible.

Objective

On completion of the course students are able to apply learned skills to measure physiological signals. Students learn the basics of electronics. Students are able to use cloud services for data collection.

Students learn basic concepts of mathematical and natural science as the foundation of engineering education. Students learn to use tools and applications to evaluate mathematical and natural science problems. They understand the connection of these concepts to ICT and are apply learned methods for practical problems.

Students learn to work as active members of a project group and understand the principles of oral and written communication. They are able to communicate effectively to support and improve their professional competence. Students are also able to write a formal project report in English as well as give a presentation in a professional manner.

Content

- Orientation to the professional field and studies
- Developing an embedded application for measuring physiological signals
- Basics of electronics
- Basics of IoT systems
- Functions and their differentials
- Basics of magnetism
- Project communication and documentation in English

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Student has achieved the course objectives. 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. 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.

Qualifications

No prerequisites

Go back to top of page