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Hardware 1 (15 ECTS)

Code: TX00EW85-3005

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 39 reservations. Total duration of reservations is 112 h 55 min.

Time Topic Location
Mon 15.01.2024 time 13:00 - 16:00
(3 h 0 min)
Math & Physics: Laitteisto 1 TX00EW85-3005
KME661 Oppimistila
Tue 16.01.2024 time 13:00 - 16:00
(3 h 0 min)
Digital circuits: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Wed 17.01.2024 time 09:00 - 12:00
(3 h 0 min)
English: Laitteisto 1 TX00EW85-3005 CLASS CANCELLED
KME761 Oppimistila
Thu 18.01.2024 time 09:00 - 12:00
(3 h 0 min)
Networks: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Fri 19.01.2024 time 09:30 - 12:00
(2 h 30 min)
Math & Physics: Laitteisto 1 TX00EW85-3005
KME561 Oppimistila
Mon 22.01.2024 time 13:00 - 16:00
(3 h 0 min)
Math & Physics: Laitteisto 1 TX00EW85-3005
KME661 Oppimistila
Tue 23.01.2024 time 13:00 - 16:00
(3 h 0 min)
Digital circuits: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Thu 25.01.2024 time 09:00 - 12:00
(3 h 0 min)
Networks: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Thu 25.01.2024 time 13:30 - 16:00
(2 h 30 min)
English: Laitteisto 1 TX00EW85-3005 CLASS AT MESSUKESKUS
Fri 26.01.2024 time 09:30 - 12:00
(2 h 30 min)
Math & Physics: Laitteisto 1 TX00EW85-3005
KME561 Oppimistila
Fri 26.01.2024 time 13:00 - 16:00
(3 h 0 min)
Basics of Health Technology: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Mon 29.01.2024 time 13:00 - 16:00
(3 h 0 min)
Math & Physics: Laitteisto 1 TX00EW85-3005
KME661 Oppimistila
Tue 30.01.2024 time 10:00 - 12:00
(2 h 0 min)
English: Laitteisto 1 TX00EW85-3005
KME761 Oppimistila
Tue 30.01.2024 time 13:00 - 16:00
(3 h 0 min)
Digital circuits: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Thu 01.02.2024 time 09:00 - 12:00
(3 h 0 min)
Networks: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Fri 02.02.2024 time 09:30 - 12:00
(2 h 30 min)
Math & Physics: Laitteisto 1 TX00EW85-3005
KME561 Oppimistila
Mon 05.02.2024 time 13:00 - 16:00
(3 h 0 min)
Math & Physics: Laitteisto 1 TX00EW85-3005
KME661 Oppimistila
Tue 06.02.2024 time 13:00 - 16:00
(3 h 0 min)
Digital circuits: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Wed 07.02.2024 time 09:00 - 12:00
(3 h 0 min)
English: Laitteisto 1 TX00EW85-3005
KME761 Oppimistila
Thu 08.02.2024 time 09:00 - 12:00
(3 h 0 min)
Networks: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Fri 09.02.2024 time 09:30 - 12:00
(2 h 30 min)
Math & Physics: Laitteisto 1 TX00EW85-3005
KME561 Oppimistila
Fri 09.02.2024 time 13:00 - 16:00
(3 h 0 min)
Basics of Health Technology: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Mon 12.02.2024 time 13:00 - 16:00
(3 h 0 min)
Math & Physics: Laitteisto 1 TX00EW85-3005
KME661 Oppimistila
Tue 13.02.2024 time 09:15 - 11:45
(2 h 30 min)
Mathematics Exam, Karaportti 1st floor Auditorium
Tue 13.02.2024 time 13:00 - 16:00
(3 h 0 min)
Digital circuits: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Wed 14.02.2024 time 09:00 - 12:00
(3 h 0 min)
English: Laitteisto 1 TX00EW85-3005 CLASS ON ZOOM
KME761 Oppimistila
Thu 15.02.2024 time 08:00 - 09:15
(1 h 15 min)
Networks: Hardware 1 TX00EW85-3005
Mon 19.02.2024 time 13:00 - 16:00
(3 h 0 min)
Python Labs - Hardware 1 TX00EW85-3005
KME661 Oppimistila
Thu 22.02.2024 time 12:00 - 18:00
(6 h 0 min)
Laitteisto 1 TX00EW77-3011, Hardware 1 TX00EW85-3005, Hardware 1 TX00EW85-3007, Laitteisto 1 TX00EW77-3009
KME661 Oppimistila
Mon 26.02.2024 time 13:00 - 16:00
(3 h 0 min)
Math & Physics: Laitteisto 1 TX00EW85-3005
KME661 Oppimistila
Tue 27.02.2024 time 13:00 - 16:00
(3 h 0 min)
Digital circuits: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Wed 28.02.2024 time 09:20 - 12:00
(2 h 40 min)
English: Laitteisto 1 TX00EW85-3005 CLASS ON ZOOM
KME761 Oppimistila
Thu 29.02.2024 time 09:00 - 12:00
(3 h 0 min)
Networks: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Fri 01.03.2024 time 13:00 - 16:00
(3 h 0 min)
Basics of Health Technology: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Wed 06.03.2024 time 09:00 - 12:00
(3 h 0 min)
English: Laitteisto 1 TX00EW85-3005
KME761 Oppimistila
Thu 07.03.2024 time 09:00 - 12:00
(3 h 0 min)
Networks: Hardware 1 TX00EW85-3005
KME761 Oppimistila
Thu 07.03.2024 time 13:00 - 16:00
(3 h 0 min)
Python Labs (Math)
KME761 Oppimistila
Fri 08.03.2024 time 10:00 - 12:00
(2 h 0 min)
Digital Circuits Exam
Karaportti First Floor Auditorium (Floor 1.)
Wed 13.03.2024 time 09:00 - 12:00
(3 h 0 min)
English: Laitteisto 1 TX00EW85-3005
KME761 Oppimistila
Changes to reservations may be possible.

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.

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