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Front Page > Archived Education > Electrical Engineering (I-ST) > 2009 > Year 2 > Statistics and Probability Theory (IXP0407)

Statistics and Probability Theory

Structure Type: Study unit
Code: IXP0407
Type: Compulsory / Basic Studies
Curriculum: I-ST 2009
Level: Bachelor of Engineering
Year of Study: 2 (2010-2011)
Credits: 2 cr
Responsible Teacher: Niemi, Henry
Language of Instruction: Finnish

Courses During the Academic Year 2010-2011

Impl.Group(s)Study TimeTeacher(s)LanguageEnrolment
29I-TT-4N2011-01-03 – 2011-03-05Mikko HurmeFinnish2010-12-07 – 2011-01-09
30I-KT-2N2011-03-07 – 2011-04-30Virpi ElomaaFinnish2011-02-14 – 2011-03-13
31I-RT-2N2011-03-07 – 2011-04-30Mikko HurmeFinnish2011-02-14 – 2011-03-13
32I-YT-2N2011-03-07 – 2011-04-30Mikko HurmeFinnish2011-02-14 – 2011-03-13
33 2011-03-07 – 2011-04-30Virpi ElomaaFinnish2011-02-14 – 2011-03-13
34I-ST-3V2011-03-07 – 2011-04-30Virpi ElomaaFinnish2011-02-14 – 2011-03-13

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.


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