Statistics and Probability Theory
| Structure Type: | Study unit |
|---|---|
| Code: | IKTP0502 |
| Type: | Compulsory / Basic Studies |
| Curriculum: | KT 2015 |
| Level: | Bachelor of Engineering |
| Year of Study: | 2 (2016-2017) |
| Credits: | 2 cr |
| Responsible Teacher: | Hurme, Mikko |
| Language of Instruction: | Finnish |
Courses During the Academic Year 2016-2017
| Impl. | Group(s) | Study Time | Teacher(s) | Language | Enrolment |
|---|---|---|---|---|---|
| 8 | I-KT-3N | 2016-09-01 – 2016-12-31 | Mikko Ranta | Finnish | 2016-08-22 – 2016-09-19 |
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
Contents
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.