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Course Code: 
MATH 427
Course Type: 
Area Elective
P: 
3
Credits: 
3
ECTS: 
7
Course Language: 
English
Course Objectives: 
The aim of this course is to provide students with a knowledge and understanding of basic results of computational algebra and basic algorithmic approaches to algebra and their implementations.
Course Content: 

The Elimination and Extension Theorems, The Geometry of Elimination, Implicitization, Singular Points and Envelopes, Gröbner Bases and the Extension Theorem, Hilbert's Nullstellensatz, Radical Ideals and the Ideal-Variety Correspondence, Sums, Products and Intersections of Ideals, Zariski Closure and Quotients of Ideals, Irreducible Varieties, Decomposition of a Variety, Polynomial Mappings, Quotients of Polynomial Rings, Algorithmic Computations in k[x1, . . . , xn]/I, The Coordinate Ring of an Affine Variety, Primary Decomposition of Ideals, The Variety of a Monomial Ideal.

Course Methodology: 
1: Lecture, 2: Problem Solving
Course Evaluation Methods: 
A: Written examination, B: Homework

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Course Learning Outcomes

Learning Outcomes Teaching Methods Assessment Methods
1) Knows about algebraic geometry and commutative algebra. 1,2 A,B
2) Knows about Gröbner basis theory and understands the relevant algorithms and their analysis. 1,2 A,B
3) Knows how to use computational algorithms in commutative algebra and Gröbner basis theory to solve various problems. 1,2 A,B
4) Participates in research and scientific discussions and is able to learn new topics in computational algebra. 1,2 A,B

Course Flow

Week Topics Study Materials
1 The Elimination and Extension Theorems, The Geometry of Elimination Textbook 3.1, 3.2
2 Implicitization Textbook 3.3
3 Singular Points and Envelopes Textbook 3.4
4 Gröbner Bases and the Extension Theorem Textbook 3.5
5 Hilbert's Nullstellensatz Textbook 4.1
6 Radical Ideals and the Ideal-Variety Correspondence Textbook 4.2
7 Sums, Products and Intersections of Ideals Textbook 4.3
8 Zariski Closure and Quotients of Ideals Textbook 4.4
9 Irreducible Varieties, Decomposition of a Variety Textbook 4.5
10 Decomposition of a Variety into Irreducibles Textbook 4.6
11 Primary Decomposition of Ideals Textbook 4.8
12 Polynomial Mappings, Quotients of Polynomial Rings Textbook 5.1, 5.2
13 Algorithmic Computations in k[x1, . . . , xn]/I Textbook 5.3
14 The Coordinate Ring of an Affine Variety Textbook 5.4

Recommended Sources

Textbook D. A. Cox, J. Little, D. O’Shea, Ideals, Varieties, and Algorithms, Springer, Fourth Edition, 2015.
Additional Resources G.-M. Greuel, G. Pfister, A Singular introduction to commutative algebra, Springer, 2002.

D. Shafer, V. Romanovski, The center and cyclicity problems: a computational algebra approach, Birkhäuser Basel, 2009.

V.G. Romanovski, M. Presern, An approach to solving systems of polynomials via modular arithmetics with applications, Journal of Computational and Applied Mathematics, 236, 196–208, 2011.

Material Sharing

Documents  
Assignments  
Exams  

Assessment

IN-TERM STUDIES NUMBER PERCENTAGE
Mid-terms 1 70
Quizzes 0 0
Assignments 5 30
Total   100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE 1 50
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE   50
Total   100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM
No Program Learning Outcomes Contribution
1 2 3 4 5
1 The ability to make computation on the basic topics of mathematics such as limit, derivative, integral, logic, linear algebra and discrete mathematics which provide a basis for the fundamental research fields in mathematics (i.e., analysis, algebra, differential equations and geometry)         x
2 Acquiring fundamental knowledge on fundamental research fields in mathematics         x
3 Ability form and interpret the relations between research topics in mathematics         x
4 Ability to define, formulate and solve mathematical problems         x
5 Consciousness of professional ethics and responsibility       x  
6 Ability to communicate actively     x    
7 Ability of self-development in fields of interest         x
8 Ability to learn, choose and use necessary information technologies         x
9 Lifelong education     x    

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities Quantity Duration
(Hour)
Total
Workload
(Hour)
Course Duration (14x Total course hours) 14 3 42
Hours for off-the-classroom study (Pre-study, practice) 14 5 70
Mid-terms (Including self study) 1 10 10
Quizzes      
Assignments 5 5 25
Final examination (Including self study) 1 20 20
Total Work Load     167
Total Work Load / 25 (h)     6.68
ECTS Credit of the Course     7