Hardware 2 (15 cr)
Code: TX00EW78-3007
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
- 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
- Course
- TX00EW78
Implementation has 59 reservations. Total duration of reservations is 171 h 30 min.
Time | Topic | Location |
---|---|---|
Mon 23.10.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Mon 23.10.2023 time 13:00 - 14:30 (1 h 30 min) |
Pääaineinfo (etä, ZOOM): periaatteet ja aikataulu |
|
Tue 24.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 25.10.2023 time 09:00 - 12:00 (3 h 0 min) |
Matematiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 25.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Thu 26.10.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Thu 26.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Fri 27.10.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Mon 30.10.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Tue 31.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 01.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Matematiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 01.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
Etäopetus
|
Thu 02.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Thu 02.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Fri 03.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Mon 06.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Tue 07.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 08.11.2023 time 09:00 - 11:30 (2 h 30 min) |
Matematiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 08.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
Etäopetus
|
Thu 09.11.2023 time 09:00 - 11:30 (2 h 30 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Thu 09.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Fri 10.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Mon 13.11.2023 time 09:00 - 11:30 (2 h 30 min) |
Englanti: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Tue 14.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 15.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Matematiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 15.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
Etäopetus
|
Thu 16.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Thu 16.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Fri 17.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Tue 21.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 22.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Matematiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 22.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
Etäopetus
|
Thu 23.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Thu 23.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Fri 24.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Mon 27.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Tue 28.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 29.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Matematiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 29.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
Etäopetus
|
Thu 30.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Thu 30.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Fri 01.12.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Mon 04.12.2023 time 09:00 - 12:00 (3 h 0 min) |
Englanti: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Mon 04.12.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Mon 04.12.2023 time 17:00 - 18:00 (1 h 0 min) |
Harjoitteluinfo (etänä) |
|
Tue 05.12.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Thu 07.12.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Thu 07.12.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Fri 08.12.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Tue 12.12.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 13.12.2023 time 09:00 - 12:00 (3 h 0 min) |
Matematiikka: Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Wed 13.12.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
Etäopetus
|
Thu 14.12.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Thu 14.12.2023 time 13:00 - 16:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Fri 15.12.2023 time 09:00 - 12:00 (3 h 0 min) |
Laitteisto 2 TX00EW78-3007 |
KMD757
Oppimistila
|
Fri 15.12.2023 time 09:00 - 12:00 (3 h 0 min) |
Hardware 2 Electronics Exam |
KME659
Oppimistila
|
Fri 15.12.2023 time 13:00 - 15:30 (2 h 30 min) |
Laitteisto 2 Electronics Exam |
KME659
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 TX00EW78-3007 |
KMD757
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
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
Qualifications
No prerequisites