Ideals, Varieties and Algorithms(MAT473)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT473 Ideals, Varieties and Algorithms 8 3 0 0 3 6
Admission Requirements
Language of Instruction French
Course Type Elective
Course Level Bachelor Degree
Course Instructor(s) Meral TOSUN (Email)
Objective The purpose of this course is to learn about Groebner basis which is useful to solve some problems on algebraic varieties, especially for the solution of systems of equations, to understand how to use it in the proof of theorem extension.
Content Ring theory and fields (summary), Polynomial rings and affine space, Affine varieties, Parametrization, Ideals, One variable polynomials;
Monomial orders, Division algorithm, Monomial ideals and Dickson's lemma, Hilbert bases theorem, Groebner bases, Properties of Groebner bases, Buchbergers algorithm, Applicaitons of Groebner bases;
Elimination and Extension theorems, Resultants and the extension theorem.
Course Learning Outcomes To know how to calculate a Groebner base for an ideal by using the algorithm of Buchberger
To know how to use the Groebner bases to solve the appearence problem for an ideal
To be able to use the Groebner bases in the theory of elimination to solve the system of equations
Teaching and Learning Methods Lecture, discussion, problem solving
References Ideals, Varieties and Algorithms, D. Cox, J. Little, D. O’Shea.
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Theory Topics
Week Weekly Contents
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 4 60
Contribution of final exam to overall grade 1 40
Toplam 5 100
In-Term Studies
  Number Contribution
Assignments 2 20
Presentation 2 20
Midterm Examinations (including preparation) 1 20
Toplam 5 60
No Program Learning Outcomes Contribution
1 2 3 4 5
1 understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways; X
2 can properly state and use concepts and results of major mathematical interest; X
3 masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools; X
4 is able to express one’s mathematical ideas in an organised way both in written and oral forms; X
5 understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...); X
6 has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; X
7 has a theoretical and practical knowledge in computer science well adapted for learning a programming language; X
8 has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions; X
9 has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement; X
10 masters French language as well as other foreign languages, to a level sufficient to study or work abroad. X
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 14 2 28
Assignments 4 6 24
Presentation 0 0 0
Midterm Examinations (including preparation) 8 4 32
Project 0 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 3 8 24
Quiz 0 0 0
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Total Workload 150
Total Workload / 25 6,00
Credits ECTS 6
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