The course is included in these curricula and study modules
- Industrial management 2005 (native finnish speaking students) - Mathematics
- Industrial management 2005 (native swedish speaking students) - Mathematics
- Industrial management 2005 (international students) - Mathematics
- Industrial management 2006 (native finnish speaking students) - Mathematics
- Industrial management 2006 (native swedish speaking students) - Mathematics
- Industrial management 2006 (international students) - Mathematics
- International business 2004 (international students) - Information management and analysis
- International business 2004 (native finnish speaking students) - Information management and analysis
- International business 2004 (native swedish speaking students) - Information management and analysis
- Plastics technology 2007 (international students) - Mathematics
- Plastics technology 2007 (native finnish speaking students) - Mathematics
- Plastics technology 2007 (native swedish speaking students) - Mathematics
- Plastics technology 2008 (native finnish speaking students) - Mathematics
- Plastics technology 2008 (native swedish speaking students) - Mathematics
- Materials processing technology 2014 (swe) - Basic studies
- Materials processing technology 2015 (swe) - Basic studies
- Materials processing technology 2016 - Mathematics and mechanics
- Process- och materialteknik 2017 - Mathematics and mechanics
- Materials processing technology 2014 - Basic studies
- Materials processing technology 2015 - Basic studies
- Materials processing technology 2016 - Mathematics and mechanics
- Materials processing technology 2017 - Mathematics and mechanics
Level/category
General studies
Teaching language
English
Type of course
Compulsory
Cycle/level of course
First
Recommended year of study
2
Total number of ECTS
5 cr
Competency aims
This course provides a basic introduction to
statistics and probability covering sampling and
simple statistical measures. The aim is to acquire
and apply skills relating to the interpretation and
presentation of data and to introduce the concept
of probability and statistical inference.
Learning outcomes
On successful completion of this course, students
should be able to:
-Formulate problems in statistical terms.
-Select and apply an appropriate model.
-Interpret and communicate results.
Course contents
- Statistics: Basic concepts
- Measures of the center of a set of observations
- Measures of Dispersion
- Probability: Sample Space and Events
- Definition and properties of Probability
- Combinatorics
- Conditional Probability/ Independent events
- Bayes Theorem
- Random Variables
- Distribution Functions
- Discrete and Continuous Random Variables
- Mathematical Expectation
- Binomial Random Point Function
- Poisson Function
- Exponential Probability function
- Normal Probability function
- Regression
Prerequisites and co-requisites
Algebra & Trigonometry
Calculus
Study activities
- Lectures - 80 hours
- Individual- and group instruction - 48 hours
- - 4 hours
Workload
- Total workload of the course: 132 hours
- Of which autonomous studies: 132 hours
- Of which scheduled studies: 0 hours
Mode of Delivery
Participation in tuition
Assessment methods
Exams (written-, oral-, home-)
Teacher
Herrman Rene
Examiner
Herrmann Rene
Home page of the course
Group size
No limit
Assignments valid until
12 months after course has ended
Assessment methods
Date of examination will be announced later - Exams