Mathematical Methods in Industrial Management (5 cr)
Code: TU00DZ51-3007
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
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- Finnish
- Degree programmes
- Industrial Management
Implementation has 9 reservations. Total duration of reservations is 26 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Wed 21.08.2024 time 17:00 - 20:00 (3 h 0 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3007 |
Online
|
|
Wed 28.08.2024 time 17:00 - 20:00 (3 h 0 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3007 |
Online
|
|
Wed 04.09.2024 time 17:00 - 20:00 (3 h 0 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3007 |
Online
|
|
Wed 11.09.2024 time 17:00 - 20:00 (3 h 0 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3007 |
Online
|
|
Wed 18.09.2024 time 17:00 - 20:00 (3 h 0 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3007 |
Online
|
|
Wed 25.09.2024 time 17:00 - 20:00 (3 h 0 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3007 |
Online
|
|
Wed 02.10.2024 time 17:00 - 20:00 (3 h 0 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3007 |
Online
|
|
Wed 09.10.2024 time 17:00 - 20:00 (3 h 0 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3007 |
Online
|
|
Wed 29.01.2025 time 17:00 - 19:00 (2 h 0 min) |
Tuotantotalouden matemaattiset menetelmät TU00DZ51-3007 |
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.
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