Study Guide

Objective

After the course, students are familiar with the basic functions of Matlab-program and can write simple pieces of code in order to solve mathematical problems. They know the most fundamental concepts of both classical and statistical probability theory, including expected value, standard deviation, variance, cumulative distribution function etc., as well as the most commonly used distributions.

Students also understand that in statistics we are often trying to predict the values or behavior of previously mentioned concepts based on a sample.

Content

Matlab (Part 1)
Probability Theory
Mathematical Statistics

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in the degree and finally work in a suitable job position related to this field.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in their field and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise in their field and the evolvement of their own expertise.