Key words
Analysis and processing of data
Objectives
To obtain critical and flexible skill in manipulating different kinds of data processing software as an important supportin other trainings.
Topics
Different kinds of data processing and mathematical software are used in problem solving.
Emphasis is made on graphical possibilities.
Methods explained in the courses .
Mathematics and Statistics are illustrated.
Examples of numerical techniques in several domains are given.
Statistical data processing such as regression analysis and analysis of variance is introduced and demonstrated with appropriate software.
Prerequisites
Mathematics I, II III and Statistics.
Final Objectives
The student should be able to handle different kinds of data processing software in supporting complex calculations in analysing and solving practical problems.
Materials used
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Course notes, software
Study costs
6.0 EUR
Study guidance
Practical sessions in PC classrooms are coached by the teacher.
Students can always make an appointment for explanation.
Electronic environment DOKEOS with several elaborated examples.
Teaching Methods
Lectures and implementations at the PC
Assessment
A couple of tests during the semester.
Assessment of possible assignments.
However, if a student gains a score of 7 or less on 20 on one of the different courses (parts of training items), he proves that his skill for certain subcompetencies is insufficient. Consequently, one can turn from the arithmetical calculation of the final assignment of quotas of a training item and the new marks can be awarded on consensus. Of course the examiners can judge that the arithmetic regulations mentioned in the study index card can also be used for 7 or less.
For each deviation a detailed motivation ought to be drawn up. In that case one should point out that the skill for this subcompetency is proven to be insufficient, if the student didn’t pass the partim that is considered to be important for certain subcompetencies.
Lecturer(s)
The lecturers in mathematics and statistics
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