Mathematical Methods in Industrial Management (5 cr)

Code: TU00DZ51-3005

General information

Enrollment: 28.11.2022 - 08.01.2023
Registration for the implementation has ended.

Timing: 09.01.2023 - 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: 90 - 100

Degree programmes: Industrial Management

Teachers: Rakel Peltola

Groups: TXQ22S1-A
Industrial Management, Group A; TXQ22S1-B
Industrial Management, Group B

Course: TU00DZ51

Implementation has 19 reservations. Total duration of reservations is 38 h 0 min.

Time	Topic	Location
Fri 03.03.2023 time 10:00 - 12:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMC557 Oppimistila
Fri 03.03.2023 time 13:00 - 15:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMC592 Digitila
Fri 10.03.2023 time 10:00 - 12:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMC557 Oppimistila
Fri 10.03.2023 time 13:00 - 15:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMC557 Oppimistila
Wed 15.03.2023 time 10:00 - 12:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMC565 Digitila
Wed 15.03.2023 time 13:00 - 15:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMD557 Digitila
Wed 22.03.2023 time 13:00 - 15:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMD557 Digitila
Wed 29.03.2023 time 10:00 - 12:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMD557 Digitila
Wed 29.03.2023 time 13:00 - 15:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KME562 Oppimistila KMC592 Digitila
Wed 05.04.2023 time 10:00 - 12:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMD557 Digitila
Wed 05.04.2023 time 13:00 - 15:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMC592 Digitila
Wed 12.04.2023 time 10:00 - 12:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KME559 Oppimistila
Wed 12.04.2023 time 13:00 - 15:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KME562 Oppimistila
Wed 19.04.2023 time 10:00 - 12:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KME559 Oppimistila
Wed 19.04.2023 time 13:00 - 15:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KME562 Oppimistila
Wed 26.04.2023 time 10:00 - 12:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KME559 Oppimistila
Wed 26.04.2023 time 13:00 - 15:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KME562 Oppimistila
Wed 03.05.2023 time 10:00 - 12:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KMC592 Digitila
Wed 03.05.2023 time 13:00 - 15:00 (2 h 0 min)	Tuotantotalouden matemaattiset menetelmät TU00DZ51-3005	KME562 Oppimistila

Changes to reservations may be possible.

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.