Hardware 2 (15 cr)
Code: TX00EW86-3006
General information
- Enrollment
-
27.11.2023 - 14.01.2024
Registration for the implementation has ended.
- Timing
-
18.03.2024 - 12.05.2024
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
- English
- Seats
- 0 - 35
- Degree programmes
- Degree Programme in Information Technology
- Teachers
- Timo Salin
- Berit Mannfors
- Ulla Paatola
- Sakari Lukkarinen
- Keijo Länsikunnas
- Sari Rannisto
- Fikadu Mulugeta
- Groups
-
TXL23S1-BInformation Technology, group B
- Course
- TX00EW86
Implementation has 46 reservations. Total duration of reservations is 151 h 45 min.
Time | Topic | Location |
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Mon 18.03.2024 time 09:00 - 16:00 (7 h 0 min) |
Project: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
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Tue 19.03.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Tue 19.03.2024 time 13:00 - 16:00 (3 h 0 min) |
Cloud Computing Primer: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Wed 20.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Electronics: Laitteisto 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Thu 21.03.2024 time 13:00 - 16:00 (3 h 0 min) |
Math & Physics: CLASS CANCELLED |
KMD652
Oppimistila
|
Fri 22.03.2024 time 13:00 - 16:00 (3 h 0 min) |
Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Mon 25.03.2024 time 09:00 - 16:00 (7 h 0 min) |
Project: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Mon 25.03.2024 time 16:15 - 17:15 (1 h 0 min) |
General info about choosing the major and Software Engineering Major Info |
|
Tue 26.03.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Tue 26.03.2024 time 13:00 - 16:00 (3 h 0 min) |
Cloud Computing Primer: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Wed 27.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Electronics: Laitteisto 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Thu 28.03.2024 time 13:00 - 16:00 (3 h 0 min) |
Math & Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Tue 02.04.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Tue 02.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Cloud Computing Primer: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Wed 03.04.2024 time 09:00 - 12:00 (3 h 0 min) |
Electronics: Laitteisto 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Thu 04.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Math & Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Thu 04.04.2024 time 16:15 - 17:00 (0 h 45 min) |
Major Info: Game Development |
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Fri 05.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Mon 08.04.2024 time 09:00 - 16:00 (7 h 0 min) |
Project: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Tue 09.04.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Tue 09.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Cloud Computing Primer: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Wed 10.04.2024 time 09:00 - 12:00 (3 h 0 min) |
Electronics: Laitteisto 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Thu 11.04.2024 time 12:00 - 14:45 (2 h 45 min) |
Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Fri 12.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Hardware 2 TX00EW86-3006 CLASS CANCELLED |
KMD652
Oppimistila
|
Mon 15.04.2024 time 09:00 - 16:00 (7 h 0 min) |
Project: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Tue 16.04.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Tue 16.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Cloud Computing Primer: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Wed 17.04.2024 time 10:00 - 12:00 (2 h 0 min) |
Electronics: Laitteisto 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Wed 17.04.2024 time 16:15 - 17:45 (1 h 30 min) |
Major Info: Smart Systems Embedded IoT Devices and IoT and Networks |
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Thu 18.04.2024 time 09:00 - 12:00 (3 h 0 min) |
Math & Physics: Python Lab 8 - Hardware 2 |
KMD652
Oppimistila
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Thu 18.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Fri 19.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Mon 22.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Electronics: Laitteisto 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Tue 23.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Cloud Computing Primer: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Wed 24.04.2024 time 09:00 - 16:00 (7 h 0 min) |
Project: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Thu 25.04.2024 time 09:00 - 12:00 (3 h 0 min) |
Math & Physics: Python Lab 9 |
KMD652
Oppimistila
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Thu 25.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Fri 26.04.2024 time 13:15 - 16:00 (2 h 45 min) |
Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Mon 29.04.2024 time 09:00 - 16:00 (7 h 0 min) |
Project: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Tue 30.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Cloud Computing Primer: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Thu 02.05.2024 time 13:00 - 16:00 (3 h 0 min) |
Physics: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Fri 03.05.2024 time 13:00 - 16:00 (3 h 0 min) |
Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Wed 08.05.2024 time 09:00 - 11:30 (2 h 30 min) |
Electronics: Exam TX00EW86-3006 |
KMD652
Oppimistila
|
Wed 08.05.2024 time 13:00 - 16:00 (3 h 0 min) |
Project: Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Fri 10.05.2024 time 13:00 - 16:00 (3 h 0 min) |
Hardware 2 TX00EW86-3006 |
KMD652
Oppimistila
|
Thu 16.05.2024 time 09:00 - 12:00 (3 h 0 min) |
Magnetism Resit Exam / Hardware 2 TX00EW86-3005-3007 |
KMD550
Oppimistila
|
Objective
On completion of the course the student
• is able to apply learned skills to measure physiological signals
• understands the basics of electronics
• is able to use cloud services for data collection
• understands basic concepts of mathematical and natural science as the foundation of engineering education
• can use tools and applications to evaluate mathematical and natural science problems
• understands the connection of these concepts to ICT and can apply learned methods to practical problems
• is able to work as an active member of a project group and understand the principles of professional communication
• is able to communicate effectively to support and improve their professional competence
• is able to write a formal project report.
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)
The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.
Assessment criteria, good (3)
The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working life situations
• understands the importance of expertise in the field and is able to analyse their own expertise.
Assessment criteria, excellent (5)
The student
• has achieved the objectives of the course with excellent marks
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working life situations
• is able to analyse expertise in their field and their own development towards expertise.
Assessment criteria, approved/failed
The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.