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Statistics and Probability Theory

Structure Type: Study unit
Code: IKTP0502
Type: Compulsory / Basic Studies
Curriculum: KT 2014
Level: Bachelor of Engineering
Year of Study: 4 (2017-2018)
Credits: 2 cr
Responsible Teacher: Hurme, Mikko
Language of Instruction: Finnish

Courses During the Academic Year 2017-2018

Impl.Group(s)Study TimeTeacher(s)LanguageEnrolment
9I-KT-3N2018-01-08 – 2018-04-27Kerstin SiegfridsFinnish2017-12-11 – 2018-01-15

Still need to take the course? See the courses during the academic year 2018-2019.

Learning Outcomes

During this course a student learns the basics of the theory of probability and statistics. S/he knows how to sample using random numbers and understands the uncertainty factors related to samples and sample studies. S/he can work the material using a computer and present the data graphically, interpret statistic charts made by others and calculate parametres related to material and find out dependencies between variables. S/he understands the calculation rules of probability and knows the importance of probability as an interpreter of statistical significance. S/he learns to use the most important distributions with a computer and can complete basic statistical tests and calculate confidential intervals.

Student's Workload

The total amount of student's work is 54 h, which contains 30 h of contact studies.
The assessment of student’s own learning 1 h is included in contact lessons.

Prerequisites / Recommended Optional Courses

Differential and integral calculus


Collecting and processing statistical data, graphic representation and drawing conclusions. Calculation of indexes, probability calculation rules and probability distributions. Regression lines and correlation coefficient. Estimation of parametres, confidential intervals and average tests.

Recommended or Required Reading and Other Learning Resources/Tools

Majaniemi: "Matematiikka IV", Tietokotka Oy; the material prepared by the teacher.

Mode of Delivery / Planned Learning Activities and Teaching Methods

See the description of "Analyysi".

Assessment Criteria

Grade 1: The student knows those subjects of the course, which are necessary for the forthcoming studies and working life.

Grade 3: The student is well-abled to utilize the course contents.

Grade 5: The student is able to apply creatively the contents of the course.

Assessment Methods

Exercises and examination. The student is required to perform at least one quarter of the homework exercises. All the given computer-related exercises must be handed in by the end of the course.