Hardware 2 (15 ECTS)
Code: TX00EW86-3002
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 ECTS
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 34
- Degree programmes
- Degree Programme in Information Technology
- Teachers
- Timo Salin
- Berit Mannfors
- Antti Piironen
- Erik Pätynen
- Sakari Lukkarinen
- Keijo Länsikunnas
- Marko Uusitalo
- Sari Rannisto
- Jonita Martelius
- Groups
-
TXL22S1-BInformation Technology, group A
- Course
- TX00EW86
Implementation has 14 reservations. Total duration of reservations is 42 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Fri 21.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Hardware 2 TX00EW86-3002 |
KME551
Oppimistila
|
|
Mon 24.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Math & Physics: Hardware 2 TX00EW86-3002 |
KME562
Oppimistila
|
|
Tue 25.04.2023 time 09:00 - 12:00 (3 h 0 min) |
English: Hardware 2 TX00EW86-3002 |
KME551
Oppimistila
|
|
Tue 25.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Hardware 2 TX00EW86-3002 |
KME661
Oppimistila
|
|
Wed 26.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Hardware 2 TX00EW86-3002 |
KME551
Oppimistila
|
|
Thu 27.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Hardware 2 TX00EW86-3002 |
KME551
Oppimistila
|
|
Thu 27.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Hardware 2 TX00EW86-3002 |
KME551
Oppimistila
|
|
Fri 28.04.2023 time 09:00 - 12:00 (3 h 0 min) |
Hardware 2 TX00EW86-3002 |
KME551
Oppimistila
|
|
Fri 28.04.2023 time 13:00 - 16:00 (3 h 0 min) |
Math & Physics: Hardware 2 TX00EW86-3002 |
KME661
Oppimistila
|
|
Tue 02.05.2023 time 09:00 - 12:00 (3 h 0 min) |
English: Hardware 2 TX00EW86-3002 |
KME551
Oppimistila
|
|
Tue 02.05.2023 time 13:00 - 16:00 (3 h 0 min) |
Math & Physics: Hardware 2 TX00EW86-3002 |
KME661
Oppimistila
|
|
Wed 03.05.2023 time 09:00 - 12:00 (3 h 0 min) |
Hardware 2 TX00EW86-3002 |
KME551
Oppimistila
|
|
Thu 04.05.2023 time 09:00 - 12:00 (3 h 0 min) |
Hardware 2 TX00EW86-3002 |
KME551
Oppimistila
|
|
Fri 05.05.2023 time 09:00 - 12:00 (3 h 0 min) |
Physics Exam on Magnetism |
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.