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811147A Basics of Statistical Data Analysis for Information Processing Science, 4 ECTS cr 
Code 811147A  Validity 01.08.2010 -
Name Basics of Statistical Data Analysis for Information Processing Science  Abbreviation Basics of Stati 
Scope4 ECTS cr   
Type Intermediate Studies Discipline3259 Information Processing Science 
  Grading1 - 5, pass, fail 
Unit Information Processing Science DP 

Jouni Markkula 

ECTS Credits 

4 ECTS credits/108 hours of work.

Language of instruction 



The course is held in the spring semester, during period 3. It is recommended to complete the course in the final phase of bachelor studies.

Learning outcomes 


After completion of the course, the student can identify and describe the basic properties and types of statistical data and is able to apply them in information processing sciences, information systems and software engineering. The student is able to specify metrics and handle statistical variables. She or he is also able to describe, present and analyse descriptive statistical data sets.


Types of statistical data, data collection methods, measurement and variables, sampling, management of statistical data, descriptive statistics, graphical presentation of data, basics of data analysis.

Mode of delivery 

Face-to-face teaching

Learning activities and teaching methods 

Lectures 20h, exercises 20h, independent work 68h

Target group 


Recommended optional programme components 


Recommended or required reading 

Lecture slides, given literature and exercise tasks.
•    Blaikie, Norman (2003), Analyzing Quantitative Data (section 1-5)
•    Other examples from: Wild & Seber (2000), Chance Encounters; Antony (2008), Design of Experiments for Engineers and Scientists; George, Rowlands, Proce, Maxey (2005), Lean Six Sigma Pocket Toolbook

Assessment methods and criteria 

The course is evaluated based on passed exam and acceptable exercise tasks.



Person responsible 

Jouni Markkula

Working life cooperation 



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Future examinations
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