Hardware 1 (15 ECTS)
Code: TX00EW85-3006
General information
- Enrollment
- 27.11.2023 - 14.01.2024
- Registration for the implementation has ended.
- Timing
- 15.01.2024 - 17.03.2024
- Implementation has ended.
- Number of ECTS credits allocated
- 15 ECTS
- Mode of delivery
- On-campus
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 35
- Degree programmes
- Degree Programme in Information Technology
Implementation has 41 reservations. Total duration of reservations is 115 h 45 min.
Time | Topic | Location |
---|---|---|
Mon 15.01.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Laitteisto 1 TX00EW85-3006 |
KME562
Oppimistila
|
Wed 17.01.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Laitteisto 1 TX00EW85-3006 |
KME562
Oppimistila
|
Thu 18.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Networks: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Thu 18.01.2024 time 13:00 - 16:00 (3 h 0 min) |
English: Laitteisto 1 TX00EW85-3006 CLASS CANCELLED |
|
Fri 19.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Digital circuits: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Mon 22.01.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Laitteisto 1 TX00EW85-3006 |
KME562
Oppimistila
|
Tue 23.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Basics of Health Technology: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Wed 24.01.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Laitteisto 1 TX00EW85-3006 |
KME562
Oppimistila
|
Thu 25.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Networks: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Thu 25.01.2024 time 13:30 - 16:00 (2 h 30 min) |
English: Laitteisto 1 TX00EW85-3006 CLASS AT MESSUKESKUS |
|
Fri 26.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Digital circuits: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Mon 29.01.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Laitteisto 1 TX00EW85-3006 |
KME562
Oppimistila
|
Tue 30.01.2024 time 13:00 - 16:00 (3 h 0 min) |
English: Laitteisto 1 TX00EW85-3006 CLASS CANCELLED |
KMD652
Oppimistila
|
Wed 31.01.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Laitteisto 1 TX00EW85-3006 |
KME562
Oppimistila
|
Thu 01.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Networks: Hardware 1 TX00EW85-3006 |
Online: https://metropolia.zoom.us/j/68705362819
|
Fri 02.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Digital circuits: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Mon 05.02.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Laitteisto 1 TX00EW85-3006 |
KME562
Oppimistila
|
Tue 06.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Basics of Health Technology: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Wed 07.02.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Laitteisto 1 TX00EW85-3006 |
KME562
Oppimistila
|
Thu 08.02.2024 time 09:15 - 12:00 (2 h 45 min) |
Networks: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Thu 08.02.2024 time 13:00 - 16:00 (3 h 0 min) |
English: Laitteisto 1 TX00EW85-3006 CLASS CANCELLED |
KMD652
Oppimistila
|
Fri 09.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Digital circuits: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Mon 12.02.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Laitteisto 1 TX00EW85-3006 |
KME562
Oppimistila
|
Tue 13.02.2024 time 09:15 - 11:45 (2 h 30 min) |
Mathematics Exam, Karaportti 1st floor Auditorium |
|
Thu 15.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Networks: Hardware 1 TX00EW85-3006 |
Online: https://metropolia.zoom.us/j/69893465327
|
Thu 15.02.2024 time 13:00 - 16:00 (3 h 0 min) |
English: Laitteisto 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Fri 16.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Digital circuits: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Tue 20.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Python Labs - Hardware 1 TX00EW85-3006 |
KME661
Oppimistila
|
Mon 26.02.2024 time 09:30 - 12:00 (2 h 30 min) |
Math & Physics: Laitteisto 1 TX00EW85-3006 |
KME562
Oppimistila
|
Tue 27.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Basics of Health Technology: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Wed 28.02.2024 time 13:00 - 16:00 (3 h 0 min) |
Hardware 1 TX00EW85-3006 |
KME562
Oppimistila
|
Thu 29.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Networks: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Thu 29.02.2024 time 13:00 - 16:00 (3 h 0 min) |
English: Laitteisto 1 TX00EW85-3006 CLASS ON ZOOM |
KMD652
Oppimistila
|
Fri 01.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Digital circuits: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Mon 04.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Python Labs (Math) |
KME659
Oppimistila
|
Thu 07.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Networks: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Thu 07.03.2024 time 13:00 - 16:00 (3 h 0 min) |
English: Laitteisto 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Fri 08.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Digital circuits: Hardware 1 TX00EW85-3006 |
KMD652
Oppimistila
|
Fri 08.03.2024 time 10:00 - 12:00 (2 h 0 min) |
Digital Circuits Exam |
Karaportti First Floor Auditorium (Floor 1.)
|
Tue 12.03.2024 time 09:00 - 12:00 (3 h 0 min) |
Networks: Hardware 1 TX00EW85-3006 |
Networks Exam at Auditorium (Karaportti 2, floor 1)
|
Thu 14.03.2024 time 13:00 - 16:00 (3 h 0 min) |
English: Laitteisto 1 TX00EW85-3006 |
KMD652
Oppimistila
|
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.