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Talouden ja projektinhallinnan vaativat matemaattiset menetelmät (5 op)

Toteutuksen tunnus: TZ1BA01-3013

Toteutuksen perustiedot


Ilmoittautumisaika
02.07.2025 - 31.07.2025
Ilmoittautuminen toteutukselle ei ole vielä alkanut.
Ajoitus
01.08.2025 - 31.12.2025
Toteutus ei ole vielä alkanut.
Opintopistemäärä
5 op
Toteutustapa
Lähiopetus
Toimipiste
Myllypurontie 1
Opetuskielet
englanti
Koulutus
Master's Degree Programme in Construction and Real Estate Management
Opettajat
Ari Koistinen
Vastuuopettaja
Hannu Hakkarainen
Opintojakso
TZ1BA01

Toteutuksella on 13 opetustapahtumaa joiden yhteenlaskettu kesto on 39 t 0 min.

Aika Aihe Tila
Ti 09.09.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 16.09.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 23.09.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 30.09.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 07.10.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 21.10.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 28.10.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 04.11.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 11.11.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 18.11.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 25.11.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 02.12.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Ti 09.12.2025 klo 14:00 - 17:00
(3 t 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 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

Esitietovaatimukset

English level 2

Työmuodot

Luennot, harjoitukset ja loppukoe.

Oppimateriaali ja suositeltava kirjallisuus

Opettajan kurssin aikana jakama materiaali.

Arviointimenetelmät ja arvioinnin perusteet

Arviointi perustuu loppukokeeseen (50%) ja kurssin aikana tehtäviin harjoituksiin (50%).

Arviointiasteikko

0-5

Arviointikriteerit arvosanalle 1 tyydyttävä

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 arvosanalle 3 hyvä

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 arvosanalle 5 kiitettävä

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.

Arviointikriteerit arvosanalle hyväksytty

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.

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