IV019 Computer Algebra Systems

Faculty of Informatics
Spring 2003
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
prof. RNDr. Jiří Hřebíček, CSc. (lecturer)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: prof. RNDr. Jiří Hřebíček, CSc.
Timetable
Mon 18:00–18:50 A107, Mon 19:00–19:50 B311
Prerequisites (in Czech)
! I019 Computer Algebra Systems
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of lecture is an introduction into computer algebra systems , the basic feature of system Maple and using CAS for education and research. Scientific computing and mathematical modelling is introduced.
Syllabus
  • Short description of computer algebra systems (CAS). History of CAS. Special purpose systems and general purpose systems.
  • CAS systems REDUCE, MACSYMA, DERIVE, MATCAD, Maple, Mathematica, AXIOM, etc and their history. Main properties of CAS. Advantages and limitations of CAS in scientific computing.
  • General principles of CAS design and development, their implementation on different platforms, using computer graphics and scientific vizualisation. Design of Maple (user interface - Iris, basic algebraic engine- kernel, external and share library, programming language).
  • Maple categories of basic CAS objects. Maple names and statements, composite data types, assume facility, simplification.
  • Programming in Maple (structure of programming language, protected names, global and system variables, a single algebraic expression, an array of algebraic expressions, operators for forming expressions, sets, sequence, lists, arrays, tables, functions and procedures, libraries of functions).
  • Basic inner representation of function and main principles of manipulations with expressions. Polynomials and rational functions and manipulations with their expressions. Mathematical functions. Differentiation, integration, summation, limits and series. Solving equations, solving ODE and PDE.
  • Using CAS for education and research. Scientific computing and mathematical modelling (problem setting and formulation of its mathematical model, scientific evaluation and its visualisation, analysis of result interpretations and a verification of solution).
  • Practical examples of using Maple.
Literature
  • GANDER, W. and Jiří HŘEBÍČEK. Solving Prolems in Scientific Computing Using Maple and MATLAB. 3rd ed. Heidelberg: Springer Verlag, 1997, 408 pp. ISBN 3-540-61793-0. info
  • HECK, André. Introduction to maple. 2nd ed. New York: Springer, 1996, xx, 699. ISBN 0387945350. info
Assessment methods (in Czech)
ústní zkouška během semestru jsou vyžadovány domácí práce na závěr projekt
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is also listed under the following terms Spring 2004, Spring 2005, Spring 2006, Spring 2007.
  • Enrolment Statistics (Spring 2003, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2003/IV019