Checking date: 19/09/2019

Course: 2020/2021

Foundations of Algebra
Study: (84)

Coordinating teacher: BAYONA REVILLA, VICTOR

Department assigned to the subject:

Type: Compulsory
ECTS Credits: 6.0 ECTS


Students are expected to have completed
Basic mathematics, including: - Solution of linear systems of equations with 2 and 3 unknowns. - Roots of polynomials. Formula for the roots of quadratic polynomials. - The graph of a linear function.
Competences and skills that will be acquired and learning results.
The student will acquire the following skills: 1- Basic skills on mathematical reasoning including: - Distinguish between implications and equivalence. - Get familiar with the basic methods of mathematical proving like the method by contradiction or the method of mathematical induction. - Learn to prove set inclusions and set identities. 2- Recognize linear and affine functions and plot them. 3- Handle and simplify polynomial equations and know the basic methods of polynomial root-finding. 4- To know the meaning of the basic trigonometric ratios. 5- To know the ratios of the remarkable angles (0º, 30º, 45º, 60º y 90º). 6- Relate the trigonometric ratios of an arbitrary angle with the ones of an angle between 0 and pi radians. 7- Relate the trigonometric ratios of complementary and supplementary angles. 8- Solve triangules. 9- Determine whether a given trigonometric identity is true or not. 10- Plot elementary trigonometric functions. 11- Identify and plot complex numbers. 12- Operate with complex numbers. 13- Obtain all different representations of a complex number (binary form, polar form, exponential form). 14- Obtain all n nth-roots of a complex number and plot them. 15- To know the Fundamental theorem of Algebra. 16- Compute the Row Reduced Echelon form of a matrix. 17- Solve linear systems using Gaussian elimination. 18- Obtain the matrix representation of a linear system. 19- Perform arithmetic operations with matrices. 20- Obtain the vector expression of a linear system. 21- Relate elementary row operations on a matrix with left products by elementary matrices. 22- Determine whether a given matrix of low size is invertible or not. In the affirmative case, compute its inverse using the algorithm related to the row reduced echelon form of the matrix. 23- Apply the recursive definition of the determinant for low-dimensional matrices. 24- Relate the determinant of a product of matrices with the determinants of each of the factors. 25- To know how the determinant changes when applying elementary row and column operations to the matrix. 26- Obtain the determinant of a matrix through an echelon form of the matrix. 27- Operate with vectors in R^n. 28- Relate the linear independence of a set of vectors with the solution of linear systems. 29- Determine whether a given small set of vectors is linearly independent or not. 30- To know the notion of spanning set and subspace spanned by a set of vectors. 31- Become familiar with the notion of basis of a subspace spanned by a set of vectors. 32- Become familiar with the notion of column space of a matrix. 33- Become familiar with the notion of null-space of a matrix and relate it with the solution of linear systems.
Description of contents: programme
WEEK 1: Basic Elements Mathematical notation Basic methods of mathematical proof (Proof by contradiction, the induction method; equation writing) Linear and affine functions Polynomials and polynomial equations WEEK 2: Trigonometry Trigonometric ratios in the unit circle Relationship between complementary and supplementary angles Relationships between trigonometric ratios. Trigonometric identities Trigonometric functions WEEKS 3-4: Complex numbers Definition. Binomial form Geometrical representation in R2 Polar and exponential representations. Relation between representations (binomial, polar and exponential) Operations with complex numbers Powers of complex numbers Roots of complex numbers. Geometrical representation The fundamental theorem of algebra WEEKS 5-6: Linear systems Solving linear systems with 2 unknowns. Geometrical representation. Solving linear systems with 3 unknowns. Geometrical representation. Solving linear systems with n unknowns. Geometrical representation. Gaussian elimination Basic definitions Echelon and reduced echelon forms homogeneous systems Existence and uniqueness theorem Solutions in parametric form WEEKS 7-8: Matrices Basic definitions Matrix operations Matrix representation of a linear system Vector representation of a linear system Elementary matrices and elementary row operations. Relation to linear systems Inverse of a matrix WEEK 9: Determinants Definition Determinant of a triangular matrix Determinant of the product of square matrices Determinant of the transpose of a matrix Elementary row operations in a determinant Determinant of a matrix using the echelon form of a matrix WEEK 10: Vectors in Rn. Basic operations Linear independence Spanning sets. Span of a set of vectors Bases Column space of a matrix Null space of a matrix Revisiting linear systems
Assessment System
Basic Bibliography
  • Dennis G. Zill, Jacqueline M. Dewar. College algebra. Sudbury, MA : Jones & Bartlett Learning. 2012
  • Richard N. Aufmann Vernon C Barker Richard D Nation. College algebra and trigonometry. Boston etc. : Houghton Mifflin. 1997
  • Stitz, Carl ; Zeager, Jeff. College trigonometry . Open Textbook Library (Corporate Author) Ohio: Stitz Zeager Open Source Mathematics . 2013
Additional Bibliography
  • D. C. Lay, S. R. Lay, J. J. McDonald. Linear Algebra and Its Applications. Pearson. 2015
  • David Poole. Linear Algebra: A modern introduction. Cengage Brooks/Cole. 2015

The course syllabus and the academic weekly planning may change due academic events or other reasons.