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Opintojakson toteutussuunnitelma

Group504D10/Degree Programme in Information Technology (Rovaniemi)
Study unit504D23J Scientific Computing and Statistics, 5.00 ECTS credits, 133 h
Compulsory Professional Studies
Time of implementationAutumn1/2011-2012, Autumn2/2010-2011
Responsible teacherKeränen Veikko
Other teachersPeisa Kari
Status of implementationFinished

Description status Ready
Language of instruction English
Starting and ending dates01.09.2011 - 31.05.2012
Minimum number of participants  
Maximum number of participants  
Enrolment period14.04.2011 - 31.05.2011
Implementation method
Virtuality 2 ECTS credits
R&D integration 2 ECTS credits
Resit dates of the exam
Koulutuksen aikataulu (www-linkki)
Description language English 

The student will acquire an understanding of the possibilities of modern computing environments in scientific-technical computing. The student understands, that only the numerical computation does not fit for all purposes, and that symobolical computation and programming support the developing of the concepts of high abstract level, and their direct implementation. Also producing structured documents and technical writing (LaTeX, XML,....) will be emphasized. The student the statistic scientific overall view crucial to engineers, and will get expertise in statistic scientific thinking. 

Assessment criteria  
Pedagogical arrangements

Lectures and exercises. Contact hours: 33.

Assessment methods:

Active participation during lectures and exercises.

Home exercises and a project/seminar. Two examinations during the course.



Book: Eugene Don, Mathematica (Schaum's Outlines)
Web - materials:
and  \Opettajat\Veikko Keränen\VeikkoKeranen1999-200X\___Contents

SAGE - Open Source Mathematics Software:
Mathematica - Technical Computing System:

GeoGebra - Dynamical tools for studying geometry and algebra:

Octave - High-level language, primarily intended for numerical computations:

LaTeX Links

Read about LaTeX:

Dowload MiKTeX (for PC) from

Free editors for MiKTeX (Texmaker, TeXnicCenter):
Texmaker is a free LaTeX editor, that integrates many tools needed to
develop documents with LaTeX, in just one application.
Texmaker runs on unix, macosx and windows systems and is released
under the GPL license.
TeXnicCenter is a feature rich integrated development environment
(IDE) for developing LaTeX-documents
on Microsoft Windows (Windows 9x/ME, NT/2000/XP) freely available under GPL.
TeXnicCenter is open source software and available completely free of charge!

LaTeX for MAC:

Links to LaTeX Guides

This is a nice introduction and contains losts of useful commands including bibtex, but does not contain mathematical notation though:

University of Florida, College of Liberal Arts & Sciences

For mathematics LaTeX Math Symbols:

Latex maths and graphics: pix/latex_maths pix.html

The next links points to a part of the big LaTeX Wikibook.
Even so, this is also a large collection in itself:
LaTeX/Mathematics - Wikibooks, collection of open-content textbooks 

Part I introduces the student to the vast possibilities, which modern symbolic algebra software provides for scientific and technical calculation. He/she understands that numerical calculation does not meet all the existing needs, and that symbolic calculation supports the development of abstract concepts and their implementation. Producing structured documents (LaTeX, XML, …) is also emphasized.

Part II gives the student a general view and the tools for statistical thinking necessary for all engineers. Parts I and II should be learned in a parallel fashion.

Core curriculum:

Part I Techincal computing and writing (70 h of student work)
•    symbolic and numerical calculation
•    structured documents, web publishing
•    data structures
•    programming styles
•    implementation of algorithms
•    Mathematica-software, introduction to other software (SAGE / Geogebra / MatLab)
•    technical writing (LaTeX)

Part II Probability and Statistics (65 h of student work)
•    basic concepts of statistics
•    combinatorics
•    probability
•    discrete and continuous distributions
•    correlation, regression analysis
•    hypothesis testing   


Rejected 0 (< 10 / 30), Satisfactory 1 (10-13 / 30), Satisfactory 2 (14-17 / 30), Good 3 (18-22 / 30), Good 4 (23-26 / 30), Excellent 5 (27-30 / 30). Extra points will be given from the exercises.