Mathematical Methods in Industrial Management (5 cr)
Code: TU00DZ51-3006
General information
- Enrollment
-
28.11.2022 - 08.01.2023
Registration for the implementation has ended.
- Timing
-
13.03.2023 - 07.05.2023
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
- Seats
- 40 - 60
- Degree programmes
- Industrial Management
- Teachers
- Rakel Peltola
- Groups
-
TXQ22S2PIndustrial Management, blended learning
-
TXQ22S2Tuotantotalouden tutkinto-ohjelma monimuoto
- Course
- TU00DZ51
Implementation has 8 reservations. Total duration of reservations is 28 h 0 min.
Time | Topic | Location |
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Thu 16.03.2023 time 17:00 - 20:30 (3 h 30 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3006 |
Etäopetus/Online
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Thu 23.03.2023 time 17:00 - 20:30 (3 h 30 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3006 |
Etäopetus/Online
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Thu 30.03.2023 time 17:00 - 20:30 (3 h 30 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3006 |
Etäopetus/Online
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Thu 06.04.2023 time 17:00 - 20:30 (3 h 30 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3006 |
Etäopetus/Online
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Thu 13.04.2023 time 17:00 - 20:30 (3 h 30 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3006 |
Etäopetus/Online
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Thu 20.04.2023 time 17:00 - 20:30 (3 h 30 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3006 |
Etäopetus/Online
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Thu 27.04.2023 time 17:00 - 20:30 (3 h 30 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3006 |
Etäopetus/Online
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Thu 04.05.2023 time 17:00 - 20:30 (3 h 30 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3006 |
Etäopetus/Online
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Objective
The student understands the oppportunities of analyticals methods in modelling industrial management phenomena. The student can use the methods in simple situations.
Content
Business mathematics, Queues, series,
Matrices
Linear programming, network models
Queueing models
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.