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Hardware 2 (15 cr)

Code: TX00EW78-3003

General information


Enrollment
28.11.2022 - 08.01.2023
Registration for the implementation has ended.
Timing
13.03.2023 - 07.05.2023
Implementation has ended.
Number of ECTS credits allocated
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 58 reservations. Total duration of reservations is 151 h 15 min.

Time Topic Location
Mon 13.03.2023 time 09:00 - 12:00
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 13.03.2023 time 13:00 - 16:00
(3 h 0 min)
Fysiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 15.03.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 15.03.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 17.03.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 17.03.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 20.03.2023 time 09:00 - 12:00
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 20.03.2023 time 13:00 - 16:00
(3 h 0 min)
Fysiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Tue 21.03.2023 time 09:00 - 12:00
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 22.03.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
Distance Learning
Fri 24.03.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 24.03.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 27.03.2023 time 09:00 - 12:00
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 27.03.2023 time 13:00 - 15:00
(2 h 0 min)
Fysiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Tue 28.03.2023 time 09:00 - 12:00
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Tue 28.03.2023 time 13:00 - 14:30
(1 h 30 min)
Pääainevalinta: periaatteet ja aikataulu
KME761 Oppimistila
Wed 29.03.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 29.03.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 31.03.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 31.03.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 03.04.2023 time 09:00 - 11:15
(2 h 15 min)
Matematiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 03.04.2023 time 12:15 - 13:00
(0 h 45 min)
Pääaineinfo ZOOM: Hyvinvointi- ja terveysteknologia 
KMD657 Oppimistila
Mon 03.04.2023 time 13:00 - 16:00
(3 h 0 min)
Fysiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Tue 04.04.2023 time 09:00 - 12:00
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 05.04.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 05.04.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 05.04.2023 time 16:00 - 17:30
(1 h 30 min)
Pääaineinfo ZOOM: Smart Systems (Embedded IoT Devices, IoT and Networks)
KMD657 Oppimistila
Tue 11.04.2023 time 09:00 - 11:15
(2 h 15 min)
Englanti: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Tue 11.04.2023 time 12:15 - 13:00
(0 h 45 min)
Pääaineinfo ZOOM: Web-kehitys ja digitaalinen media
KMD657 Oppimistila
Tue 11.04.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 12.04.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 12.04.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Thu 13.04.2023 time 09:00 - 11:30
(2 h 30 min)
Fysiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Thu 13.04.2023 time 12:15 - 13:00
(0 h 45 min)
Pääaineinfo (ZOOM): Hyvinvointi- ja terveysteknologia
Fri 14.04.2023 time 09:00 - 11:15
(2 h 15 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 14.04.2023 time 12:15 - 13:00
(0 h 45 min)
Pääaineinfo ZOOM: Pelikehitys
KMD657 Oppimistila
Fri 14.04.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 17.04.2023 time 09:00 - 11:15
(2 h 15 min)
Matematiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 17.04.2023 time 12:15 - 13:00
(0 h 45 min)
Pääaineinfo ZOOM: Software Engineering
KMD657 Oppimistila
Mon 17.04.2023 time 13:00 - 16:00
(3 h 0 min)
Fysiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Tue 18.04.2023 time 09:00 - 12:00
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 19.04.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 19.04.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 21.04.2023 time 09:00 - 11:15
(2 h 15 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 21.04.2023 time 12:15 - 13:00
(0 h 45 min)
Pääaineinfo ZOOM: Ohjelmistotuotanto
KMD657 Oppimistila
Fri 21.04.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 24.04.2023 time 09:00 - 12:00
(3 h 0 min)
Matematiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Mon 24.04.2023 time 13:00 - 16:00
(3 h 0 min)
Fysiikka: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Tue 25.04.2023 time 09:00 - 12:00
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Wed 26.04.2023 time 10:00 - 12:00
(2 h 0 min)
Tentti, Exam: Laitteisto 2, Hardware 2
Karamalmin Nokian Auditorio
Wed 26.04.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 28.04.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 28.04.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Tue 02.05.2023 time 09:00 - 12:00
(3 h 0 min)
Englanti: Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Tue 02.05.2023 time 13:00 - 16:00
(3 h 0 min)
Tentti: Laitteisto 2
KMD550 Oppimistila
Wed 03.05.2023 time 13:00 - 16:00
(3 h 0 min)
Fysiikka: Laitteisto 2 TX00EW78-3004/3003
KMD550 Oppimistila
Fri 05.05.2023 time 09:00 - 12:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 Oppimistila
Fri 05.05.2023 time 13:00 - 16:00
(3 h 0 min)
Laitteisto 2 TX00EW78-3003
KMD657 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

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