Probability and Statistics (5 cr)
Code: TX00EX74-3003
General information
- Enrollment
-
06.05.2024 - 20.10.2024
Registration for the implementation has ended.
- Timing
-
21.10.2024 - 15.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 0 - 35
- Degree programmes
- Information and Communication Technology
- Teachers
- Birgitta Nenonen-Andersson
- Groups
-
ICT23K-SI-ESmart IoT Systems: Embedded IoT Devices
- Course
- TX00EX74
Implementation has 15 reservations. Total duration of reservations is 44 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Thu 24.10.2024 time 08:00 - 11:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA119
Oppimistila
|
|
Mon 28.10.2024 time 09:00 - 12:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA227
Oppimistila
|
|
Thu 31.10.2024 time 08:00 - 11:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA119
Oppimistila
|
|
Mon 04.11.2024 time 09:00 - 12:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA227
Oppimistila
|
|
Thu 07.11.2024 time 09:00 - 11:30 (2 h 30 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMB244
Oppimistila
|
|
Mon 11.11.2024 time 09:00 - 12:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA227
Oppimistila
|
|
Thu 14.11.2024 time 08:00 - 10:00 (2 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA119
Oppimistila
|
|
Mon 18.11.2024 time 09:00 - 12:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA227
Oppimistila
|
|
Thu 21.11.2024 time 08:00 - 11:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA119
Oppimistila
|
|
Mon 25.11.2024 time 09:00 - 12:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA227
Oppimistila
|
|
Thu 28.11.2024 time 08:00 - 11:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA119
Oppimistila
|
|
Mon 02.12.2024 time 09:00 - 12:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA227
Oppimistila
|
|
Thu 05.12.2024 time 11:00 - 15:00 (4 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003/uusintatentti |
MMA117
Henkilökunnan työtila
|
|
Mon 09.12.2024 time 09:00 - 12:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 |
MMA227
Oppimistila
|
|
Fri 17.01.2025 time 17:00 - 20:00 (3 h 0 min) |
Todennäköisyys ja tilastomatematiikka TX00EX74-3003 ja Insinöörimatematiikka TX00CN47-3014 rästitentti |
MMB243
Oppimistila
|
Objective
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
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.
Qualifications
Completing first year study modules in Information Technology or equivalent skills and knowledge.
Objective
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
Qualifications
Completing first year study modules in Information Technology or equivalent skills and knowledge.