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Probability and Statistics (5 cr)

Code: TEXM3580-3001

General information


Enrollment

31.08.2020 - 06.09.2020

Timing

01.09.2020 - 31.12.2020

Number of ECTS credits allocated

5 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages

  • English

Degree programmes

  • Bachelor's Degree Programme in International Logistics

Teachers

  • Ida Arhosalo

Teacher in charge

Ida Arhosalo

Groups

  • TLE19S1
    Degree Programme in International Logistics

Objectives

The students identify statistical and stochastic ideas, concepts and methods and can apply them to solve work-oriented problems using a computer. The students are able to draw conclusions, estimate risk and calculate reliability based on statistical data.
EUR-ACE Knowledge and Understanding: Students must know and understand the statistical principles, concepts and methods underlying logistics.
EUR-ACE Engineering Analysis: Students must have the ability to identify, formulate and solve engineering problems using statistical methods.
EUR-ACE Investigations: Students must have the ability to apply data bases and to design and conduct appropriate experiments, interpret the data and draw conclusions.
TELNA: Students are able to use mathematics and statistics in a technical environment.

Content

Elements of probability and statistics, probability distributions, confidence level estimation and hypotheses testing, regression analysis, reliability calculations. The use of mathematical computer programs.

Time and location

Lessons are on weeks 37 - 50
1,5 h in computer lab
typically 2 times per week

Learning materials and recommended literature

Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers

Alternative completion methods

- Exams 80–90 % - Exercises or assignments 10–20 %

Student workload

- Lectures 40–60 h - Independent study 60–90 h - Exams 2 h Total 100–150 h

Further information for students

Alternative Finnish implementation: Tilastomatematiikka, TLXM3580

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Excellent (5): Student has attained an excellent level of course objectives and can apply them into practice in innovative manner.
Very good (4): Student has attained very good level of course objectives and can apply them into practice.
Good (3): Student has gained understanding of course objectives and can utilize them in practice.
Satisfactory (2): Student has gained knowledge of course objectives and can utilize them partly in practice.
Sufficient (1): Student has gained knowledge of course objectives but face challenges to utilize them in practice.

Prerequisites

Algebra and Geometry, and Calculus