The course is included in these curricula and study modules
Level/category
Teaching language
English
Type of course
Compulsory
Recommended year of study
3
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
analysis
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
Workload
- 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
Exams
Teacher
Durbo Badal Karis
Examiner
Durbo Badal
Group size
No limit
Assignments valid until
Until date 2009-02-01
Assessment methods
2009-02-01 - Exams