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
-
T1725S6Master'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 |
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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
|
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