Siirry suoraan sisältöön

Talouden ja projektinhallinnan vaativat matemaattiset menetelmät (5 cr)

Code: TZ1BA01-3007

General information


Enrollment

02.07.2019 - 31.07.2019

Timing

07.10.2019 - 31.12.2019

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Kiinteistö- ja rakennusala

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

  • T1719S6
    Master's Degree Programme in Construction and Real Estate Management, ylempi

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 optimization and regression, and has basic knowledge of most common optimization 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.
Optimization and regression.
Decision modeling.
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 modeling

Assessment criteria, good (3)

In addition of 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
-knows and is able to solve various problems relating to regression analysis and optimization
-can design and build simple decision models
-have understanding about possibilities but also about weaknesses and limitations of the methods studied on the course
-can explain and report her/his solutions clearly

Assessment criteria, excellent (5)

In addition of 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 assess thoroughly the suitability of them to various practical problems
-can explain and report his/her 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 modeling

Qualifications

English level 2.

Further information

Virtual course