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Advanced Mathematical Methods in Economics and Management (5 ECTS)

Code: TZ1BA01-3013

General information


Enrollment
02.07.2025 - 31.07.2025
Registration for implementation has not started yet.
Timing
01.08.2025 - 31.12.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 ECTS
Mode of delivery
On-campus
Unit
(2019-2024) School of Real Estate and Construction
Campus
Myllypurontie 1
Teaching languages
English
Degree programmes
Master's Degree Programme in Construction and Real Estate Management.
Teachers
Ari Koistinen
Teacher in charge
Hannu Hakkarainen
Groups
T1725S6
Master's Degree Programme in Construction and Real Estate Management, ylempi
Course
TZ1BA01

Implementation has 13 reservations. Total duration of reservations is 39 h 0 min.

Time Topic Location
Tue 09.09.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 16.09.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 23.09.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 30.09.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 07.10.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 21.10.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 28.10.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 04.11.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 11.11.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 18.11.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 25.11.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 02.12.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Tue 09.12.2025 time 14:00 - 17:00
(3 h 0 min)
Advanced Mathematical Methods in Economics and Management TZ1BA01-3013
MPC4012 Oppimistila
Changes to reservations may be possible.

Objective

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

Content

• 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

Evaluation scale

0-5

Assessment criteria, satisfactory (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.

Assessment criteria, good (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.

Assessment criteria, excellent (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.

Assessment criteria, approved/failed

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.

Qualifications

English level 2

Further information

Virtual course

Further information

Virtual course

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