Professional studies

Teaching language


Type of course


Recommended year of study


Total number of ECTS

5 cr

Competency aims

This course provides a basic introduction to statistics and probability covering sampling and simple statistical measures. The aim is to acquire and apply skills relating to the interpretation and presentation of data and to introduce the concept of probability and statistical inference.

Learning outcomes

Upon successful completion of this course
a student should be able to:
1.describe discrete data graphically and compute measures of centrality and dispersion
2.apply statistical models and methods to
solve practical problems
3.interpret the results of a statistical
4.use statistical software
5.understand and formulate basic problems containing uncertainty
6.construct probability models in situations with uncertainty

Course contents

1.Summarizing Data
2.Measures of central tendency
3.Measures of dispersion
4.Counting and basics of probability
5.Random variables
6.Expected values
7.Distributions (Binomial, Poisson)
8.Normal distribution
9.Linear regression and correlation

Prerequisites and co-requisites

Introduction to scientific methods
Research studies I

Study activities

  • Lectures - 80 hours
  • Exercise based learning - 25 hours
  • Project work and productions - 20 hours
  • - 6 hours


  • Total workload of the course: 131 hours
  • Of which autonomous studies: 26 hours
  • Of which scheduled studies: 105 hours

Mode of Delivery

Participation in tuition

Assessment methods



Durbo Badal Karis


Durbo Badal

Group size

No limit

Assignments valid until

Until date 2009-02-01

Assessment methods

2009-02-01 - Exams

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