StatisticsLaajuus (3 cr)
Code: TKV23MA06
Credits
3 op
Objective
The student:
- should know about common basic concepts in statistics and probability theory and master basic calculations
- should know the basics of discrete and continuous distributions and their practical use
- should know the basics of statistical estimations and concepts such as uncertainty and confidence intervals.
Content
Probability theory (combinatorics, independent and dependent events, Bayes theorem)
Distributions (discrete and continuous)
Point and interval estimates and hypothesis testing
Qualifications
No prerequisites
Assessment criteria, satisfactory (1)
See current implementation
Assessment criteria, good (3)
See current implementation
Assessment criteria, excellent (5)
See current implementation
Enrollment
15.06.2024 - 15.09.2024
Timing
02.09.2024 - 13.10.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Campus
Vasa, Wolffskavägen 33
Teaching languages
- Svenska
Degree programmes
- Degree Programme in Electrical Engineering and Automation
Teachers
- Tom Lillhonga
Teacher in charge
Ronnie Sundsten
Scheduling groups
- ELA23-Y (Size: 40. Open UAS: 0.)
- ELA23-S (Size: 40. Open UAS: 0.)
Groups
-
ELA23D-VIngenjör (YH), el- och automationsteknik, 2023, dagstudier
Small groups
- ELA23-Y
- ELA23-S
Objective
The student:
- should know about common basic concepts in statistics and probability theory and master basic calculations
- should know the basics of discrete and continuous distributions and their practical use
- should know the basics of statistical estimations and concepts such as uncertainty and confidence intervals.
Content
Probability theory (combinatorics, independent and dependent events, Bayes theorem)
Distributions (discrete and continuous)
Point and interval estimates and hypothesis testing
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
See current implementation
Assessment criteria, good (3)
See current implementation
Assessment criteria, excellent (5)
See current implementation
Qualifications
No prerequisites
Enrollment
15.06.2024 - 15.09.2024
Timing
02.09.2024 - 13.10.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Campus
Vasa, Wolffskavägen 33
Teaching languages
- Svenska
Teachers
- Tom Lillhonga
Teacher in charge
Kaj Wikman
Groups
-
UIT23D-VIngenjör (YH), informationsteknik
Objective
The student:
- should know about common basic concepts in statistics and probability theory and master basic calculations
- should know the basics of discrete and continuous distributions and their practical use
- should know the basics of statistical estimations and concepts such as uncertainty and confidence intervals.
Content
Probability theory (combinatorics, independent and dependent events, Bayes theorem)
Distributions (discrete and continuous)
Point and interval estimates and hypothesis testing
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
See current implementation
Assessment criteria, good (3)
See current implementation
Assessment criteria, excellent (5)
See current implementation
Qualifications
No prerequisites