The course is included in these curricula and study modules
- Electrical engineering 2005 - Mathematics
- Electrical engineering 2004 (automation) - Mathematics
- Electrical engineering 2004 (telecommunications) - Mathematics
- Electrical engineering 2006 - Mathematics
- Information technology 2005 - Mathematics
- Information technology 2004 - Mathematics
- Information technology 2006 - Mathematics
- Mechanical and production engineering 2005 - Mathematics
- Mechanical and production engineering 2006 - Mathematics
- Mechanical and production engineering 2004 (polymer technology) - Mathematics
- Mechanical and production engineering 2004 (manufacturing automation) - Mathematics
- Media technology 2006 - Mathematics
- Media technology 2005 - Mathematics
- Media technology 2004 - Mathematics
- Plastics technology 2007 (swedish) - Mathematics
- Information- and mediatechnology 2007 (information technology) - Mathematics and physics
- Information- and mediatechnology 2008 (information technology) - Mathematics and physics
- Information- and mediatechnology 2009 (information technology) - Mathematics and physics
- Information- and mediatechnology 2010 (information technology) - Mathematics and physics
- Information- and mediatechnology 2010 (information technology) - Mathematics and physics
Level/category
Teaching language
Swedish
Type of course
Compulsory
Recommended year of study
2
Total number of ECTS
5 cr
Competency aims
The objective of this course is to introduce the students to basic probability, probability distributions and statistical inference with technical applications.
Learning outcomes
Having successfully completed this course the student will be able to:
- understand basic concepts of probability like event, sample space, conditional events and independent events
- understand continuous and discrete probability distributions
- make calculations with the normal, binomial and Poisson distributions
- understand descriptive statistics
- understand statistical inference. Use sample data to make point and interval estimation and hypothesis testing.
Course contents
1. Basic probability theory
2. Probability distributions
5. Normal distribution
6. Binomial and Poisson distributions
7. Descriptive statistics
8. Point estimation (statistical inference)
9. Interval estimation (statistical inference)
10. Hypothesis testing (statistical inference)
11. Linear regression analysis
Prerequisites and co-requisites
Elementary Mathematics
Previous course names
2005-2006, Matematik 3
Recommended or required reading
Lennart Råde: Inledning till sannolikhetslära och statistik
Jonsson, Dag och Norell, Lennart: Ett stycke statistik
Allan Gut: Sant eller sannolikt
Study activities
- Lectures - 30 hours
- Exercise based learning - 60 hours
- Individual studies - 30 hours
- - 13 hours
Workload
- Total workload of the course: 133 hours
- Of which autonomous studies: 43 hours
- Of which scheduled studies: 90 hours
Mode of Delivery
Participation in tuition
Assessment methods
- Exams
- Demonstrations and presentations
Assessment requirements
To pass the course the student should pass the following examinations:
Examination 1 ....
Examination 2.... etc.
(examinations include written examination tests, demonstrations and presentations, reports and produktions, essays, and also presence at specified occasions)
The examinations contribute to the final grade as follows: ...
Teacher
Skön Kim
Examiner
Skön Kim
Home page of the course
Group size
No limit
Course completion date
Date for course completion will be announced later
Assignments valid until
12 months after course has ended
Assessment methods
- Date of examination will be announced later - Exams
- Date will be announced later - Demonstrations and presentations