Probability Calculus and Statistics (5 cr)
Code: TX00CK75-3017
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
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Myllypurontie 1
- Teaching languages
- Finnish
- Seats
- 0 - 35
- Degree programmes
- Information and Communication Technology
- Teachers
- Mikko Pere
- Course
- TX00CK75
Implementation has 8 reservations. Total duration of reservations is 56 h 0 min.
Time | Topic | Location |
---|---|---|
Mon 15.01.2024 time 09:00 - 16:00 (7 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00CK75-3017 |
MPA5027
Oppimistila
|
Mon 22.01.2024 time 09:00 - 16:00 (7 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00CK75-3017 |
MPA5027
Oppimistila
|
Mon 29.01.2024 time 09:00 - 16:00 (7 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00CK75-3017 |
MPA5027
Oppimistila
|
Mon 05.02.2024 time 09:00 - 16:00 (7 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00CK75-3017 |
MPA5027
Oppimistila
|
Mon 12.02.2024 time 09:00 - 16:00 (7 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00CK75-3017 |
MPA5027
Oppimistila
|
Mon 26.02.2024 time 09:00 - 16:00 (7 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00CK75-3017 |
MPA5027
Oppimistila
|
Mon 04.03.2024 time 09:00 - 16:00 (7 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00CK75-3017 |
MPA5027
Oppimistila
|
Mon 11.03.2024 time 09:00 - 16:00 (7 h 0 min) |
Todennäköisyyslaskenta ja tilastomatematiikka TX00CK75-3017 |
MPA5026
Luentosali
|
Objective
The student will be familiar with different scales and their characteristic statistical numbers and will be able to determine them on the basis of data. He or she will be familiar with the basics of statistical testing, will know basic concepts related to probability and will be able to apply them in probability distribution.
Content
Population and random sample. Scales. Statistical numbers. The concept of probability. Conditional probability and independence. Discrete and continuous probability distribution. Correlation and regression. Statistical inference.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis.
Assessment criteria, approved/failed
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student has completed the required learning exercises in minimum requirement level.
Qualifications
Basics of mathematics. Discrete Mathematics.