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Talouden ja projektinhallinnan vaativat matemaattiset menetelmät (5 op)

Toteutuksen tunnus: TZ1BA01-3012

Toteutuksen perustiedot


Ilmoittautumisaika
06.05.2024 - 13.09.2024
Ilmoittautuminen toteutukselle on päättynyt.
Ajoitus
02.09.2024 - 20.12.2024
Toteutus on päättynyt.
Opintopistemäärä
5 op
Lähiosuus
5 op
Toteutustapa
Lähiopetus
Yksikkö
(2019-2024) Kiinteistö- ja rakennusala
Toimipiste
Myllypurontie 1
Opetuskielet
englanti
Koulutus
Master's Degree Programme in Construction and Real Estate Management
Opettajat
Ari Koistinen
Vastuuopettaja
Hannu Hakkarainen
Ryhmät
T1724S6
Master's Degree Programme in Construction and Real Estate Management, ylempi
Opintojakso
TZ1BA01

Toteutuksella on 10 opetustapahtumaa joiden yhteenlaskettu kesto on 28 t 30 min.

Aika Aihe Tila
Ti 10.09.2024 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3012
MPA4009 Oppimistila
Ti 17.09.2024 klo 15:30 - 17:00
(1 t 30 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3012
MPA4009 Oppimistila
Ti 01.10.2024 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3012
MPA6009 Oppimistila
Ti 08.10.2024 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3012
MPA4009 Oppimistila
Ti 22.10.2024 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3012
MPA4009 Oppimistila
Ti 29.10.2024 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3012
MPA4009 Oppimistila
Ti 05.11.2024 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3012
MPA4009 Oppimistila
Ti 12.11.2024 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3012
MPA4009 Oppimistila
Ti 19.11.2024 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3012
MPA4009 Oppimistila
Ti 26.11.2024 klo 14:00 - 17:00
(3 t 0 min)
EXAM: Advanced Mathematical Methods in Economics and Management TZ1BA01-3012
MPA4009 Oppimistila
Muutokset varauksiin voivat olla mahdollisia.

Tavoitteet

The student
• is able to use methods of statistical analysis in applications relating to economics and management, and also use them in real estate management
• can apply probability distributions in reliability engineering
• understands the principles of optimisation and regression, and has basic knowledge of most common optimisation algorithms
• is able to build simple decision models and knows how to assess risk and uncertainty in modeling

Sisältö

• Revision on basics concepts of probability
• Reliability analysis
• Sampling and estimation
• Statistical hypothesis testing
• Optimisation and regression
• Decision modelling
• Use of spreadsheet software in applications relating to the topics of the course

Arviointiasteikko

0-5

Arviointikriteerit, tyydyttävä (1)

The student
• can apply methods of probability and statistics in simple problems
• shows understanding of basic concepts of reliability engineering and can use them in applications
• is able to use simple linear regression in applications and understands the basic ideas of it
• knows the basics of decision modelling.

Arviointikriteerit, hyvä (3)

In addition to the criteria mentioned above, the student
• has some ability to assess the suitability of different probability distributions and methods of statistical analysis in practical problems
• is aware and is able to solve various problems relating to regression analysis and optimisation
• can design and build simple decision models
• has understanding of possibilities but also of weaknesses and limitations of the methods studied on the course
• can explain and report their solutions clearly.

Arviointikriteerit, kiitettävä (5)

In addition to the criteria mentioned above, the student
• can apply the concepts and methods studied on the course also in more complicated problems
• understands the theoretical background of the concepts and methods, and is able to use that knowledge to thoroughly assess their suitability to various practical problems
• can explain and report their solutions elaborately.

Arviointikriteeri, hyväksytty/hylätty

The student
• can apply methods of probability and statistics in simple problems
• shows understanding of basic concepts of reliability engineering and can use them in applications
• is able to use simple linear regression in applications and understands the basic ideas of it
• knows the basics of decision modelling.

Esitietovaatimukset

English level 2

Lisätiedot

Virtual course

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