Probability and Statistics (5 ECTS)
Code: TX00EX74-3004
General information
- Enrollment
- 01.01.2020 - 31.07.2024
- Registration for the implementation has ended.
- Timing
- 21.10.2024 - 15.12.2024
- Implementation has ended.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 35
- Degree programmes
- Degree Programme in Information Technology
- Teachers
- Timo Salin
- Saana Vallius
- Groups
-
ICT23-SI-ESmart IoT Systems: Embedded IoT Devices
- Course
- TX00EX74
Implementation has 12 reservations. Total duration of reservations is 35 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Fri 25.10.2024 time 13:00 - 16:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD652
Oppimistila
|
|
Fri 01.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD652
Oppimistila
|
|
Fri 08.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD652
Oppimistila
|
|
Thu 14.11.2024 time 09:00 - 12:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD757
Oppimistila
|
|
Fri 15.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD652
Oppimistila
|
|
Thu 21.11.2024 time 09:00 - 12:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD757
Oppimistila
|
|
Fri 22.11.2024 time 10:00 - 12:30 (2 h 30 min) |
Probability and Statistics TX00EX74-3005 |
KMD652
Oppimistila
|
|
Thu 28.11.2024 time 09:00 - 12:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD757
Oppimistila
|
|
Fri 29.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD652
Oppimistila
|
|
Thu 05.12.2024 time 09:00 - 12:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD757
Oppimistila
|
|
Thu 12.12.2024 time 09:00 - 12:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD757
Oppimistila
|
|
Fri 13.12.2024 time 13:00 - 16:00 (3 h 0 min) |
Probability and Statistics TX00EX74-3004 |
KMD652
Oppimistila
|
Learning outcomes
After completion of this course the student
• understands how hard it is to know anything with certainty
• is able to identify a question or problem in the field of probability and statistics, collect relevant data, analyse it and form a conclusion based on the analysis.
Content
• Probability and statistics
• Discrete mathematics
Prerequisites
Completing first year study modules in Information Technology or equivalent skills and knowledge.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student knows the essential theory and concepts in the field and can utilise them in analysis and solutions of simple problems.
Assessment criteria, good (3)
The students can combine the knowledge acquired from various fields and, based on that, is able to solve also more demanding mathematical problems.
Assessment criteria, excellent (5)
In addition to the in-depth management of the course contents, the student shows also capability and motivation to exploit the acquired knowledge into independent development of competence.