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
- 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
-
T1725S6Master's Degree Programme in Construction and Real Estate Management, ylempi
- 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
|
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
Lisätiedot
Virtual course