Probability and Statistics, first course, 6 credits (TAMS11)

Sannolikhetslära och statistik, grundkurs, 6 hp

Main field of study

Mathematics Applied Mathematics


First cycle

Course type

Programme course


Xiangfeng Yang

Director of studies or equivalent

Ingegerd Skoglund

Available for exchange students

Course offered for Semester Period Timetable module Language Campus VOF
6MDAV Computer Science, Master's Programme 1 (Autumn 2017) 2 4 Swedish/English Linköping o
6IDAT Computer Engineering, B Sc in Engineering (Embedded Systems) 5 (Autumn 2017) 2 4 Swedish/English Linköping v
6IDAT Computer Engineering, B Sc in Engineering (Software Engineering) 5 (Autumn 2017) 2 4 Swedish/English Linköping v
6IELK Engineering Electronics 5 (Autumn 2017) 2 4 Swedish/English Linköping v
6IKEA Chemical Analysis Engineering, B Sc in Engineering 5 (Autumn 2017) 2 4 Swedish/English Linköping v
6MMEC Mechanical Engineering, Master's programme 3 (Autumn 2017) 2 4 Swedish/English Linköping v

Main field of study

Mathematics, Applied Mathematics

Course level

First cycle

Advancement level


Course offered for

  • Computer Science, Master's Programme
  • Design and Product Development
  • Mechanical Engineering, M Sc in Engineering
  • Computer Engineering, B Sc in Engineering
  • Engineering Electronics
  • Chemical Analysis Engineering, B Sc in Engineering
  • Physics and Nanotechnology
  • Energy-Environment-Management
  • Mechanical Engineering, Master's programme
  • Protein Science, Master's programme

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.


Analysis, algebra, differential and integral calculus, power series and differential equations.

Intended learning outcomes

The aim of the course is to give an introduction to probability and statistics, i.e. to introduce theoretical probability models and to give methods for statistical inference based on observed data. By the end of the course the student should be able to:

  • describe and use models for phenomena influenced by random factors and calculate probabilities;
  • use random variables and their properties to describe and explain random variation;
  • use an appropriate probability model to describe and analyse observed data and draw conclusions concerning interesting parameters;
  • find point estimators of parameters and analyse their properties;
  • understand the principles of statistical inference based on confidence intervals and hypothesis testing;
  • derive confidence intervals and test hypotheses using observed data, draw conclusions and describe the uncertainty.

Course content

Probability theory: Sample space, events and probabilities. Combinatorics. Conditional probabilities and independent events. Discrete and continuous random variables, their probability distributions, expectations and variances. Normal, exponential, binomial, Poisson distributions etc. The Central Limit Theorem. Statistics: Point estimation. Properties of estimators. The method of maximum likelihood, the method of moments and the least squares estimation. Confidence intervals. Testing statistical hypotheses. Simple linear regression.

Teaching and working methods

Teaching consists of lectures, lessons and obligatory computer exercises.


UPGAExerciseU, G1 credits
TENBWritten ExaminationU, 3, 4, 55 credits


Alternative-grade scale, LiU, U, 3, 4, 5


Matematiska institutionen

Director of Studies or equivalent

Ingegerd Skoglund


Xiangfeng Yang

Course website and other links

Education components

Preliminär schemalagd tid: 56 h
Rekommenderad självstudietid: 104 h

Course literature

Jay L. Devore: Probability and Statistics for Engineering and the Sciences
Jay L. Devore: Probability and Statistics for Engineering and the Sciences
UPGA Exercise U, G 1 credits
TENB Written Examination U, 3, 4, 5 5 credits

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at 

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