Advanced Mathematical Methods in Economics and Management (5 cr)
Code: TZ1BA01-3011
General information
- Enrollment
-
29.08.2023 - 08.09.2023
Registration for the implementation has ended.
- Timing
-
01.08.2023 - 31.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- 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
-
T1723S6Master's Degree Programme in Construction and Real Estate Management, ylempi
- Course
- TZ1BA01
Implementation has 13 reservations. Total duration of reservations is 32 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Fri 08.09.2023 time 09:00 - 11:30 (2 h 30 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPB1005
Tapahtumasali
|
|
Fri 15.09.2023 time 09:00 - 12:00 (3 h 0 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPA4011
Luentosali
|
|
Fri 22.09.2023 time 09:00 - 10:30 (1 h 30 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPC5012
Oppimistila
|
|
Fri 06.10.2023 time 09:00 - 12:00 (3 h 0 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPC4012
Oppimistila
|
|
Thu 12.10.2023 time 11:30 - 13:30 (2 h 0 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPA3007
Oppimistila
|
|
Tue 24.10.2023 time 14:00 - 17:00 (3 h 0 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPC4001
Oppimistila
|
|
Mon 30.10.2023 time 11:00 - 13:00 (2 h 0 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPA2010
Oppimistila
|
|
Thu 09.11.2023 time 09:00 - 11:30 (2 h 30 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPA3007
Oppimistila
|
|
Tue 14.11.2023 time 15:00 - 17:00 (2 h 0 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPC4001
Oppimistila
|
|
Tue 21.11.2023 time 14:00 - 17:00 (3 h 0 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPC4001
Oppimistila
|
|
Tue 28.11.2023 time 13:00 - 16:00 (3 h 0 min) |
EXAM: Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPA4018
Oppimistila
|
|
Mon 04.12.2023 time 14:00 - 16:00 (2 h 0 min) |
Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPA5023
Oppimistila
|
|
Fri 02.02.2024 time 14:30 - 17:30 (3 h 0 min) |
Resit exam: Advanced Mathematical Methods in Economics and Management TZ1BA01-3011 |
MPA4018
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