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Statistics (5 cr)

Code: TU00DZ52-3008

General information


Enrollment
06.05.2024 - 18.08.2024
Registration for the implementation has ended.
Timing
19.08.2024 - 15.12.2024
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
Karaportti 2
Teaching languages
Finnish
Degree programmes
Industrial Management
Teachers
Rakel Peltola
Groups
TXQ23K
Industrial Management, Double Degree
TXQ23ICT
Industrial Management, ICT Business
TXQ23SCM
Industrial Management, Supply Chain Management
Course
TU00DZ52

Implementation has 32 reservations. Total duration of reservations is 64 h 0 min.

Time Topic Location
Tue 20.08.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC592 Digitila
Thu 22.08.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC592 Digitila
Tue 27.08.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC592 Digitila
Thu 29.08.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC592 Digitila
Tue 03.09.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KME762 Oppimistila
Thu 05.09.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC565 Digitila
Tue 10.09.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD750 Oppimistila
Thu 12.09.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC565 Digitila
Tue 17.09.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD569 Oppimistila
Thu 19.09.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC565 Digitila
Tue 24.09.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC565 Digitila
Thu 26.09.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD759 Oppimistila
Tue 01.10.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 03.10.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC565 Digitila
Wed 09.10.2024 time 10:00 - 12:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC592 Digitila
Wed 09.10.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC592 Digitila
Thu 24.10.2024 time 10:00 - 12:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD757 Oppimistila
Thu 24.10.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD758 Oppimistila
Thu 31.10.2024 time 10:00 - 12:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 31.10.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 07.11.2024 time 10:00 - 12:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 07.11.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 14.11.2024 time 10:00 - 12:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 14.11.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 21.11.2024 time 10:00 - 12:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 21.11.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 28.11.2024 time 10:00 - 12:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 28.11.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 05.12.2024 time 12:00 - 14:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMD557 Digitila
Thu 05.12.2024 time 12:00 - 14:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
Mon 09.12.2024 time 13:00 - 15:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC592 Digitila
Mon 09.12.2024 time 16:00 - 18:00
(2 h 0 min)
Tilastomatematiikka TU00DZ52-3008
KMC592 Digitila
Changes to reservations may be possible.

Objective

The student understands how statistical methods and analysis can be used in decision making.

Content

Probability Calculations
Statistical Methods

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. Students will be able to identify, define and use the concepts and models in the subject area. The student understands the criteria and principles of the expertise development

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement in some areas. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply the knowledge in study and work situations in the own field. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student masters commendably the concepts and models in the course. The student is able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the business sector expertise and the evolvement of their own expertise.

Assessment criteria, approved/failed

The student has achieved the course objectives fairly. Students will be able to identify, define and use the concepts and models in the subject area. The student understands the criteria and principles of the expertise development.

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