Hardware 2 (15 cr)
Code: TX00EW78-3001
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
- 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 64 reservations. Total duration of reservations is 165 h 0 min.
Time | Topic | Location |
---|---|---|
Mon 13.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Tue 14.03.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 15.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 15.03.2023 time 13:00 - 15:30 (2 h 30 min) |
Matematiikka: Laitteisto 2 TX00EW78-3001 |
Matematiikka 4:sen tehtävistö 1 itsenäisesti - palautus Moodleen
|
Thu 16.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
Zoom
|
Thu 16.03.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Fri 17.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Fri 17.03.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Mon 20.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Tue 21.03.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 22.03.2023 time 13:00 - 15:30 (2 h 30 min) |
Matematiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 23.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 23.03.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 23.03.2023 time 16:15 - 19:00 (2 h 45 min) |
Fysiikan 1. uusintakoe, Laitteisto 2 TX00EW78-3001, Laitteisto 2 TX00EW78-3002, Ohjelmisto 2 TX00EW76-3006 |
KMD550
Oppimistila
|
Fri 24.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Mon 27.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Tue 28.03.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 29.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 29.03.2023 time 13:00 - 15:30 (2 h 30 min) |
Matematiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 30.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 30.03.2023 time 13:00 - 14:30 (1 h 30 min) |
Pääainevalinta: periaatteet ja aikataulu |
KMD652
Oppimistila
|
Fri 31.03.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Mon 03.04.2023 time 09:00 - 11:15 (2 h 15 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Mon 03.04.2023 time 12:15 - 13:00 (0 h 45 min) |
Pääaineinfo (ZOOM): Hyvinvointi- ja terveysteknologia |
KMD652
Oppimistila
|
Tue 04.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 05.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 05.04.2023 time 13:00 - 15:30 (2 h 30 min) |
Matematiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 05.04.2023 time 16:00 - 17:30 (1 h 30 min) |
Pääaineinfo (ZOOM): Smart Systems (Embedded IoT Devices, IoT and Networks) |
KMD652
Oppimistila
|
Thu 06.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Tue 11.04.2023 time 09:00 - 11:15 (2 h 15 min) |
Laitteisto 2 TX00EW78-3001 |
KME659
Oppimistila
|
Tue 11.04.2023 time 12:15 - 13:00 (0 h 45 min) |
Pääaineinfo (ZOOM): Web-kehitys ja digitaalinen media |
KMD652
Oppimistila
|
Tue 11.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 12.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 12.04.2023 time 13:00 - 15:30 (2 h 30 min) |
Matematiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 13.04.2023 time 09:00 - 11:15 (2 h 15 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 13.04.2023 time 12:15 - 13:00 (0 h 45 min) |
Pääaineinfo (ZOOM): Hyvinvointi- ja terveysteknologia |
|
Thu 13.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 13.04.2023 time 16:15 - 19:00 (2 h 45 min) |
Fysiikan 2. uusintakoe, Laitteisto 2 TX00EW78-3001, Laitteisto 2 TX00EW78-3002, Ohjelmisto 2 TX00EW76-3006 |
KMD550
Oppimistila
|
Fri 14.04.2023 time 09:00 - 11:15 (2 h 15 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Fri 14.04.2023 time 12:15 - 13:00 (0 h 45 min) |
Pääaineinfo (ZOOM): Pelikehitys |
KMD652
Oppimistila
|
Fri 14.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Mon 17.04.2023 time 09:00 - 11:15 (2 h 15 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Mon 17.04.2023 time 12:15 - 13:00 (0 h 45 min) |
Pääaineinfo (ZOOM): Software Engineering |
KMD652
Oppimistila
|
Tue 18.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 19.04.2023 time 13:00 - 15:30 (2 h 30 min) |
Matematiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 20.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 20.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Fri 21.04.2023 time 09:00 - 11:15 (2 h 15 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Fri 21.04.2023 time 12:15 - 13:00 (0 h 45 min) |
Pääaineinfo (ZOOM): Ohjelmistotuotanto |
KMD652
Oppimistila
|
Mon 24.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Tue 25.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 26.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 26.04.2023 time 13:00 - 15:30 (2 h 30 min) |
Matematiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 27.04.2023 time 10:00 - 12:00 (2 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Thu 27.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Fri 28.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Tue 02.05.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 03.05.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Wed 03.05.2023 time 13:00 - 15:30 (2 h 30 min) |
Matematiikka: Laitteisto 2 TX00EW78-3001/Uusintatentti (luokassa KMD659) |
KMD652
Oppimistila
KMD659 Oppimistila |
Thu 04.05.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Fri 05.05.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3001 |
KMD652
Oppimistila
|
Tue 16.05.2023 time 10:00 - 12:30 (2 h 30 min) |
Matematiikan Uusintatentit (2/2) ja (1/2) |
KMD659
Oppimistila
|
Tue 16.05.2023 time 16:00 - 19:00 (3 h 0 min) |
Fysiikan 1. uusintakoe, Ohjelmisto 2 TX00EW76-3006, Laitteisto 2 TX00EW78-3001, Laitteisto 2 TX00EW78-3002, Fysikaaliset ilmiöt TX00CA23-3013 |
KMD550
Oppimistila
|
Thu 25.05.2023 time 16:00 - 19:00 (3 h 0 min) |
Fysiikan 2. uusintakoe, Ohjelmisto 2 TX00EW76-3006, Laitteisto 2 TX00EW78-3001, Laitteisto 2 TX00EW78-3002, Fysikaaliset ilmiöt TX00CA23-3013 |
KMD550
Oppimistila
|
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