Statistics and Probability (3 cr)

Materials

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Evaluation scale

0-5

Further information

Exam 80-100%
Homework 0-20%
Details in Moodle workspace

Student workload

Lessons approx 25h, Homework and independent studying 55h

Assessment criteria, satisfactory (1)

Adequate 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.

Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Assessment criteria, good (3)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly

Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Assessment criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Exam schedules

Exam is in Exam studio.

Teaching language

en

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Location and time

Lecture/Exercise session 2*90min / week during weeks 3-8 and 90min/week on weeks 10-12
Exam in Exam-studio

Number of ECTS credits allocated

3

Qualifications

Basic use of spreadsheets

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Objective

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.