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Course detail

Programming Methods II

Course unit code: FSI-0S2
Academic year: 2016/2017
Type of course unit: optional (voluntary)
Level of course unit: Bachelor's (1st cycle)
Year of study: 3
Semester: winter
Number of ECTS credits:
Learning outcomes of the course unit:
Students will be able to solve more complicated mathematical and technical problems.
Mode of delivery:
90 % face-to-face, 10 % distance learning
Prerequisites:
Basic programming techniques and their implementation in Borland Delphi
Co-requisites:
Not applicable.
Recommended optional programme components:
Not applicable.
Course contents (annotation):
The course deals with the use of elementary program techniques in complex algorithms: string valuation – infix, prefix, postfix, binary tree. Also discussed is software modelling of optical phenomena. The course familiarises students also with: Geometric self-similarity, Hausdorff dimension. Statistic self-similarity, nature figures modelling. Elements of software measurement of Hausdorff dimension.
Recommended or required reading:
Martišek, D.: Algoritmizace a programování, Brno 2004, elektronická učebnice
Planned learning activities and teaching methods:
The course is taught through exercises which are focused on practical topics presented in lectures.
Assesment methods and criteria linked to learning outcomes:
Course-unit credit is awarded on condition of having worked out semester work and programmed elementary algorithm.
Language of instruction:
Czech
Work placements:
Not applicable.
Course curriculum:
Not applicable.
Aims:
Students will be made familiar with practical principles in construction of greater programs. They will realize the meaning of mathematical theory in programming selected practical problems.
Specification of controlled education, way of implementation and compensation for absences:
Missed lessons may be compensated for via a written test.

Type of course unit:

seminars in computer labs: 26 hours, compulsory
Teacher / Lecturer: doc. PaedDr. Dalibor Martišek, Ph.D.
Syllabus: 1) Data structures – front, container, binary tree,
2) Infix, prefix, postfix, arithmetic expression valuation
3-4) Mathematical function processing, valuation of general mathematical expression.
5) Iteration systems and methods their construction
6) Attractors, random walk method
7) Control selection method and inverse orbit method
8) Textures application
9) Light reflection software modelling
10-11) Light refraction software modelling
12) Global representation methods – ray tracing
13,14) Semester work processing.

The study programmes with the given course