Statistics and Probability Theory
| Structure Type: | Study unit |
|---|---|
| Code: | IXP0407 |
| Type: | Compulsory / Basic Studies |
| Curriculum: | I-ST 2006 |
| Level: | Bachelor of Engineering |
| Year of Study: | 2 (2007-2008) |
| Credits: | 2 cr |
| Responsible Teacher: | Niemi, Henry |
| Language of Instruction: | Finnish |
Courses During the Academic Year 2007-2008
| Impl. | Study Time | Teacher(s) | Language | Enrolment |
|---|---|---|---|---|
| 7 | 2007-08-27 – 2007-10-26 | Olli Korosuo | Finnish | |
| 8 | 2007-10-29 – 2007-12-21 | Jarmo Mäkelä | Finnish | 2007-10-08 – 2007-11-02 |
| 9 | 2008-01-07 – 2008-03-07 | Mikko Hurme | Finnish | 2007-12-10 – 2008-01-11 |
| 10 | 2008-01-07 – 2008-03-07 | Olli Korosuo | Finnish | 2007-12-10 – 2008-01-11 |
| 11 | 2008-01-07 – 2008-03-07 | Olli Korosuo | Finnish | 2007-12-10 – 2008-01-11 |
| 12 | 2008-03-10 – 2008-05-02 | Mikko Hurme | Finnish | 2008-02-18 – 2008-03-14 |
| 13 | 2008-03-10 – 2008-05-02 | Jarmo Mäkelä | Finnish | 2008-02-18 – 2008-03-14 |
| 14 | 2008-03-10 – 2008-05-02 | Mikko Hurme | Finnish | 2008-02-18 – 2008-03-14 |
Learning Outcomes
During this course a student learns the basics of the theory of probability and statistics. In the theory of probability she learns the precise meaning of the concept of probability, and to calculate probabilities from the given data. She also learns the most important probability distributions, especially the normal distribution. In statistics she learns to interpret statistical data, and to calculate the values of certain statistical variables characterizing the data.
Student's Workload
The total amount of student's work is 54 h, which contains 41 h of contact studies.
Prerequisites / Recommended Optional Courses
Analysis
Contents
How to collect, treat, present and draw deductions from statistical data. Calculation of indices. Rules of probability and probability distributions. Regression analysis and correlation coefficients. Applications specific to degree programme.
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.