Home
The website http://symbolicalgebra.etf.rs is dedicated to the topics of Symbolic algebra that are taught on some courses of the Department of Applied Mathematics at the Faculty of Electrical Engineering , University of Belgrade.
The basic elements of Symbolic algebra are discussed in the course Practicum in computer tools in Mathematics - http://raum.etf.rs/ that is held in the fifth semester of the Computer Science and Informatics bachelor program and in the third semester of the other bachelor programs.
For the master students we will organize the course Symbolic algebra and for the phd students we will organize the course Selected Chapters from Symbolic algebra. The two previous courses are held in the spring semester
You can get information on the courses from the teachers Branko Malesevic and Ivana Jovovic.
Teachers
dr Branko Malesevic, associate professor,
room 98, e-mail: malesevic@etf.rs
dr Ivana Jovovic, assistant professor,
room 25, e-mail: ivana@etf.rs
Master studies
The course Symbolic algebra
is held in the spring semester of the master studies.
This courses requests that the students have passed and understood the courses Mathematics 1,
Mathematics 2 and Discrete Mathematics that are held on the bachelor studies.
Knowledge of computer tools that are explained at the course
Practicum in computer tools in Mathematics (http://raum.etf.rs/) is also recommended.
In this course students will be taught the basic algorithms that are used in Symbolic algebra.
The aim of this course to get students to master the
Groebner bases technique and its applications in various fields in Mathematics,
artificial intelligence, computer graphics and various fields of technology.
Exam regulations. The final course grade will be computed by weighting the
exams and project roughly as follows: midterm exam or homework, 30%; final exam, 70%. Final exam is taken at the end of the
term, based on the software project and taking the written test, unrespectable of
the software project. The presentation of the software project involves testing
of theory which had been applied on the software project.
T
1. J. L. Cohen:
Computer Algebra and
Symbolic
Computation –
Mathematical Methods, A.K. Peters, Ltd., 2003. (book "Computer
Algebra and Symbolic Computation" available
at http://books.google.com).
2. K. Geddes, S. Czapor,
G. Labahn:
Algorithms for Computer
Algebra, Kluwer, Boston, MA, 1992. (book "Algorithms for Computer
Algebra" је доступна прекo http://books.google.com).
we recommend the following articles:
1.
A. Heck: Bird's-eye
view of Gröbner Bases,
Nuclear Inst. and Methods in Physics Research A 389 (1997), 16-21, (extended
version).
2. K. Forsman: Hitchhiker
guide to Gröbner
bases, Research Institute for Symbolic Computation, Linz, Tehnical
Report 0374 (1992).
3. A. Dolzmann, T. Sturm, V. Weispfenning : A
New Approach
for Automatic Theorem Proving in Real Geometry, Journal of
Automated
Reasoning Volume 24 , Pages 357-380, Issue 3 (December 1998), pdf.
4. Marc R. C. van Dongen: Using
Gröbner Basis
Theory to Compute Constraint Networks in Globally Solved Form,
In Proc.
AICS'1999,
pages 15-21, Cork, Ireland, pdf.
5. P. Grayson: Robotic Motion Planning, MIT Undergraduate Journal of Mathematics, Number 1, June 1999, PAGES 57-68, pdf.
Phd studies
The course Selected chapters from Symbolic algebra is held in the spring semester of the phd studies (xls).
Basic course information |
|
Course title |
Selected chapters from Symbolic algebra |
Type |
Elective |
Year and semester |
First year of the bachelor program, spring semester |
ESPB Credit |
9 |
Professor |
др Branko Malesevic |
Aim of the course |
The course has the aim to enable phd students for researching the field of Symbolic algebra with applications in the theory or algebraic differential equations using the Groebner bases technique. We observe a system of algebraic and algebraic-differential equations with applications in Computer graphics, theory of electrical circuits and other various fields of technology. A phd thesis on this topic, as a final goal, would be a result of the newest research in Computer applications of Symbolic algebra. |
Prerequisites |
Mathematics 1, Mathematics 2 and Discrete Mathematics.
We also recommend computer tools in Mathematics. |
Course contents |
Algebraic structures, rings and fields. Ring of a polynomial of one and more variables. Introduction to the theory of polynomial ideals. Monomial ideals. The definition of Groebner bases and a sytem of polynomial equations. Buchbergers algorithm and its improvements. The software realization of the Groebner bases in modern CAS packets. Theory of differential fields and differential Groebner bases. System of algebraic differential equations. Computer applications in various fields of technology. |
Recommended literature |
We recommend parts of the following references: |
Methods of teaching |
Lectures, with the help of the recent math software packets. Also, every student has a mentor, and consultations with the professors. |
Testing and evaulation of knowledge |
Grade from 5-10, that is obtained by grading students homework and tests that have a theoretical and practical part. |
Presentations
We mention a few presentations that are related to Symbolic algebra.
Graduate thesis
Here are a few graduate thesis that are related to Symbolic algebra.
Master thesis
Here are a few master thesis that are related to Symbolic algebra.
Participation on conferences "Mathematic and application" Mathematical faculty in Belgrade



















